This document provides an analysis report on the Covid-19 pandemic in India from 2019-2020. It was submitted by 6 students in partial fulfillment of an M.Sc. in Data Science. The report includes an introduction to Covid-19, an overview of the current situation in India, a literature review, description of the data and analyses. Key findings include that confirmed cases in India are rising exponentially, males are more affected than females, testing rates are low, and the states of Maharashtra, Tamil Nadu, Delhi, Gujarat and Uttar Pradesh have the most confirmed cases.
- India's daily COVID-19 cases saw a major dip on Monday, hitting a four-week low at 242,903 cases. Key states like Maharashtra, Delhi, Kerala and UP reported major declines.
- This is the lowest single-day count since April 19. Testing was lower over the weekend but the declining positivity rate indicates cases may have peaked.
- The first batch of an anti-COVID oral drug developed by DRDO called 2-DG was launched on Monday. It is expected to help faster recovery and reduce oxygen dependence.
- Meanwhile, Cyclone Tauktae has impacted COVID relief work in western coastal states as resources were diverted to move people to shelters, raising risk
COVID 19 Outbreak Prediction and Forecasting in Bangladesh using Machine Lear...ijtsrd
In this time, Novel Corona Virus is an important issue in the world, it also named COVID 19. This virus has been come from Wuhan, China in last December 2019. This virus has created critical circumstances in the whole world especially Bangladesh. The outbreak of COVID 19 is increasing gradually in Bangladesh. To predict and forecasting COVID 19 in Bangladesh we have used machine learning ML Linear Regression model. LR model is useful to predict the outbreak of COVID 19 in Bangladesh. It can be helped efficiently to predict some common numerical data like observation day, tested case, affected case, death case, recover cases, and forecast the number of upcoming cases for the next 30 days in Bangladesh. Our paper to study to analyze the epidemic growth of the COVID 19 in Bangladesh. We have applied the mathematical regression model to analyze the prediction and forecast for the effective threat of the COVID 19 in Bangladesh. The main objective of this paper how to predict the virus affected cases, recover cases, death cases, tested cases, and forecasting the future situation of Bangladesh. S M Abdullah Al Shuaeb | Md. Kamruzaman | Mohammad Al-Amin "COVID-19 Outbreak Prediction and Forecasting in Bangladesh using Machine Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38068.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/38068/covid19-outbreak-prediction-and-forecasting-in-bangladesh-using-machine-learning-algorithm/s-m-abdullah-al-shuaeb
This paper presents a time series analysis of a novel coronavirus, COVID-19, discovered in China in December 2019 using intuitionistic fuzzy logic system with neural network learning capability. Fuzzy logic systems are known to be universal approximation tools that can estimate a nonlinear function as closely as possible to the actual values. The main idea in this study is to use intuitionistic fuzzy logic system that enables hesitation and has membership and non-membership functions that are optimized to predict COVID-19 outbreak cases. Intuitionistic fuzzy logic systems are known to provide good results with improved prediction accuracy and are excellent tools for uncertainty modelling. The hesitation-enabled fuzzy logic system is evaluated using COVID-19 pandemic cases for Nigeria, being part of the COVID-19 data for African countries obtained from Kaggle data repository. The hesitation-enabled fuzzy logic model is compared with the classical fuzzy logic system and artificial neural network and shown to offer improved performance in terms of root mean squared error, mean absolute error and mean absolute percentage error. Intuitionistic fuzzy logic system however incurs a setback in terms of the high computing time compared to the classical fuzzy logic system.
A horrific incident occurred at Batra Hospital in Delhi where 12 Covid patients, including the head of the gastroenterology department, died due to lack of oxygen on Saturday. The hospital had warned authorities about low oxygen levels but only received an oxygen tanker 80 minutes later. Hospitals across Delhi are facing acute shortages and have appealed for help. The third phase of India's vaccination drive began but most states deferred it due to vaccine shortages.
Artificial Intelligence Based Study on Analyzing of Habits and with History o...Dr. Amarjeet Singh
A patient will visit physicians when he/she feels ill. This illness is not for COVID-19 but it is a general tendency of human being to visit doctor probably it cannot be controlled by general drug. When a patient comes to a doctor, the doctor examines him/her after knowing his/her problem. The physician always asks him/her about some questions related to him/her daily life. For example, if a young male patient comes to a doctor with a symptom of fever and cough, the first question doctor asked him that he has a habit of smoking. Then doctor asks him whether this type of symptom appeared often to him previously or not. If the answers of both questions are yes, then the first one is habit and the second one is that he may suffering from some serious disease or a disease due to the weather. The aim of this paper is to consider habit of the patient as well as he/she has been affected by a critical disease. This information is used to build a model that will predict whether there is any possibility of his/her being affected by COVID-19.
This research work contributes to tackle the pandemic situation occurred due to Corona Virus Infectious Disease, 2019 (Covid-19). Outbreak of this disease happens based on numerous factors such as past health records and habits of patients. Health records include diabetes tendency, cardiovascular disease existence, pregnancy, asthma, hypertension, pneumonia; chronic renal disease may contribute to this disease occurrence. Past lifestyles such as tobacco, alcohol consumption may be analyzed.
A deep learning based framework is investigated to verify the relationship between past health records, habits of patients and covid-19 occurrence. A stacked Gated Recurrent Unit (GRU) based model is proposed in this paper that identifies whether a patient can be infected by this disease or not. The proposed predictive system is compared against existing benchmark Machine Learning classifiers such as Support Vector Machine (SVM) and Decision Tree (DT).
Current and future trends for covid19 a case study of vadodara india dr mali ...Rajesh Mali
This document summarizes a case study analyzing COVID-19 trends in Vadodara, India from April to September 2020. Some key findings include:
- COVID-19 was more prevalent among males and those aged 51-60 had the highest case numbers, while deaths were highest among 61-70 year olds.
- Vadodara showed a steady decrease in test positivity rate and higher recovery rate compared to Gujarat, India, and worldwide.
- Analysis of 15-day moving averages of cases and deaths indicated numbers would likely increase in the near future.
- Vadodara administration managed to reduce the case fatality rate compared to other regions.
Final exam english ii reynaldi 20160700011Reynaldi18
The document summarizes the spread of COVID-19 from China to other countries in early 2020. It describes the symptoms and transmission of the virus, as well as control measures taken like travel restrictions. Analysis suggested the quarantine around Wuhan only modestly delayed spread within China. There were no specific antiviral treatments available yet. WHO is working to develop vaccines and coordinate the global response. Proper hygiene and social distancing are encouraged to slow transmission until a vaccine is found.
Fact and Opinion about COVID-19 outbreakteguhfirdaus1
Name : Teguh Firdaus
NIM : 20190900015
Major : Industrial Engineering
Faculty : Science and Technology
Courses : Bahasa Inggris 2
Lecturer : Harisa Mardiana
FInal Exam
- India's daily COVID-19 cases saw a major dip on Monday, hitting a four-week low at 242,903 cases. Key states like Maharashtra, Delhi, Kerala and UP reported major declines.
- This is the lowest single-day count since April 19. Testing was lower over the weekend but the declining positivity rate indicates cases may have peaked.
- The first batch of an anti-COVID oral drug developed by DRDO called 2-DG was launched on Monday. It is expected to help faster recovery and reduce oxygen dependence.
- Meanwhile, Cyclone Tauktae has impacted COVID relief work in western coastal states as resources were diverted to move people to shelters, raising risk
COVID 19 Outbreak Prediction and Forecasting in Bangladesh using Machine Lear...ijtsrd
In this time, Novel Corona Virus is an important issue in the world, it also named COVID 19. This virus has been come from Wuhan, China in last December 2019. This virus has created critical circumstances in the whole world especially Bangladesh. The outbreak of COVID 19 is increasing gradually in Bangladesh. To predict and forecasting COVID 19 in Bangladesh we have used machine learning ML Linear Regression model. LR model is useful to predict the outbreak of COVID 19 in Bangladesh. It can be helped efficiently to predict some common numerical data like observation day, tested case, affected case, death case, recover cases, and forecast the number of upcoming cases for the next 30 days in Bangladesh. Our paper to study to analyze the epidemic growth of the COVID 19 in Bangladesh. We have applied the mathematical regression model to analyze the prediction and forecast for the effective threat of the COVID 19 in Bangladesh. The main objective of this paper how to predict the virus affected cases, recover cases, death cases, tested cases, and forecasting the future situation of Bangladesh. S M Abdullah Al Shuaeb | Md. Kamruzaman | Mohammad Al-Amin "COVID-19 Outbreak Prediction and Forecasting in Bangladesh using Machine Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38068.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/38068/covid19-outbreak-prediction-and-forecasting-in-bangladesh-using-machine-learning-algorithm/s-m-abdullah-al-shuaeb
This paper presents a time series analysis of a novel coronavirus, COVID-19, discovered in China in December 2019 using intuitionistic fuzzy logic system with neural network learning capability. Fuzzy logic systems are known to be universal approximation tools that can estimate a nonlinear function as closely as possible to the actual values. The main idea in this study is to use intuitionistic fuzzy logic system that enables hesitation and has membership and non-membership functions that are optimized to predict COVID-19 outbreak cases. Intuitionistic fuzzy logic systems are known to provide good results with improved prediction accuracy and are excellent tools for uncertainty modelling. The hesitation-enabled fuzzy logic system is evaluated using COVID-19 pandemic cases for Nigeria, being part of the COVID-19 data for African countries obtained from Kaggle data repository. The hesitation-enabled fuzzy logic model is compared with the classical fuzzy logic system and artificial neural network and shown to offer improved performance in terms of root mean squared error, mean absolute error and mean absolute percentage error. Intuitionistic fuzzy logic system however incurs a setback in terms of the high computing time compared to the classical fuzzy logic system.
A horrific incident occurred at Batra Hospital in Delhi where 12 Covid patients, including the head of the gastroenterology department, died due to lack of oxygen on Saturday. The hospital had warned authorities about low oxygen levels but only received an oxygen tanker 80 minutes later. Hospitals across Delhi are facing acute shortages and have appealed for help. The third phase of India's vaccination drive began but most states deferred it due to vaccine shortages.
Artificial Intelligence Based Study on Analyzing of Habits and with History o...Dr. Amarjeet Singh
A patient will visit physicians when he/she feels ill. This illness is not for COVID-19 but it is a general tendency of human being to visit doctor probably it cannot be controlled by general drug. When a patient comes to a doctor, the doctor examines him/her after knowing his/her problem. The physician always asks him/her about some questions related to him/her daily life. For example, if a young male patient comes to a doctor with a symptom of fever and cough, the first question doctor asked him that he has a habit of smoking. Then doctor asks him whether this type of symptom appeared often to him previously or not. If the answers of both questions are yes, then the first one is habit and the second one is that he may suffering from some serious disease or a disease due to the weather. The aim of this paper is to consider habit of the patient as well as he/she has been affected by a critical disease. This information is used to build a model that will predict whether there is any possibility of his/her being affected by COVID-19.
This research work contributes to tackle the pandemic situation occurred due to Corona Virus Infectious Disease, 2019 (Covid-19). Outbreak of this disease happens based on numerous factors such as past health records and habits of patients. Health records include diabetes tendency, cardiovascular disease existence, pregnancy, asthma, hypertension, pneumonia; chronic renal disease may contribute to this disease occurrence. Past lifestyles such as tobacco, alcohol consumption may be analyzed.
A deep learning based framework is investigated to verify the relationship between past health records, habits of patients and covid-19 occurrence. A stacked Gated Recurrent Unit (GRU) based model is proposed in this paper that identifies whether a patient can be infected by this disease or not. The proposed predictive system is compared against existing benchmark Machine Learning classifiers such as Support Vector Machine (SVM) and Decision Tree (DT).
Current and future trends for covid19 a case study of vadodara india dr mali ...Rajesh Mali
This document summarizes a case study analyzing COVID-19 trends in Vadodara, India from April to September 2020. Some key findings include:
- COVID-19 was more prevalent among males and those aged 51-60 had the highest case numbers, while deaths were highest among 61-70 year olds.
- Vadodara showed a steady decrease in test positivity rate and higher recovery rate compared to Gujarat, India, and worldwide.
- Analysis of 15-day moving averages of cases and deaths indicated numbers would likely increase in the near future.
- Vadodara administration managed to reduce the case fatality rate compared to other regions.
Final exam english ii reynaldi 20160700011Reynaldi18
The document summarizes the spread of COVID-19 from China to other countries in early 2020. It describes the symptoms and transmission of the virus, as well as control measures taken like travel restrictions. Analysis suggested the quarantine around Wuhan only modestly delayed spread within China. There were no specific antiviral treatments available yet. WHO is working to develop vaccines and coordinate the global response. Proper hygiene and social distancing are encouraged to slow transmission until a vaccine is found.
Fact and Opinion about COVID-19 outbreakteguhfirdaus1
Name : Teguh Firdaus
NIM : 20190900015
Major : Industrial Engineering
Faculty : Science and Technology
Courses : Bahasa Inggris 2
Lecturer : Harisa Mardiana
FInal Exam
Forecasting the peak and fading out of novel coronavirus of 2019Islam Saeed
The document summarizes a statistical model that was developed to forecast the size, peak, and fading out of the 2019 novel coronavirus outbreak using confirmed case and death data. The model predicts that:
1) The outbreak will peak on February 20, 2020 with over 91,000 confirmed cases and 1,655 deaths worldwide.
2) The number of cases and deaths will then decline through the end of March 2020 as the outbreak fades out.
3) The outbreak will likely be completely died out by the first week of April 2020, according to the model.
Anxiety is natural response to any stressful situation. Pandemic can trigger the level of stress and anxiety among people. Present study attempted to assess the level of anxiety among adult in the Indian population during COVID-19 pandemic lockdown. On line survey was conducted with structured questionnaire, a total of 374 responses were received. Non-probability snowball sampling was adopted to collect the data. The anxiety level identified in this study was moderate to mild level. More than 58% had mild level of anxiety and 14% had severe anxiety. 28% of them expressed moderate amount of anxiety. It shows that there is need to create awareness and address the psychological problems during COVID- 19 pandemic lockdown.
Impact of COVID-19 caronavirus on poverty in Pakistan: a case study of SindhSubmissionResearchpa
The current research investigated the COVID-19 is spread vigorously in China, USA, France, Italy, Germany, and European countries and Iran Pakistan being as a neighbor country of china & IranOne was for the incoming Pakistani from various countries, such as Iran, China, Afghanistan, and India. The other was arranged inside various hospitals for COVID-19 positive cases. As hundreds and thousands of Pakistani were in Iran for religious purposes, they were. Most of the students and businessmen, inside China, were not allowed to come back. Handling of large scale influx from Iran was the main problem. Out of the total COVID-19 cases, 78 percent of cases were reported from visitors coming from Iran. Pakistan announced the closure of all schools, colleges & universities with a partial lockdown across the country for major cities. by Dr. Faiz Muhammad Shaikh, Ali Raza Memon and Kashaf Shaikh 2020. Impact of COVID-19 caronavirus on poverty in Pakistan: a case study of Sindh . International Journal on Integrated Education. 3, 6 (Jun. 2020), 72-83. DOI:https://doi.org/10.31149/ijie.v3i6.415. https://journals.researchparks.org/index.php/IJIE/article/view/415/391 https://journals.researchparks.org/index.php/IJIE/article/view/415
Geographical Analysis of Covid 19 Its Relationship with Socio Economic Condit...YogeshIJTSRD
The present paper aims to analyse the spatial variations in spread of corona cases and corona deaths and level of socio economic conditions in India. The causal relationship between corona cases and corona deaths and twenty selected socio economic variables has been taken into account. The state union territory has been taken as the smallest unit of study. The entire research work is based on secondary sources of data. The study reveals states with better socio economic conditions recorded higher corona cases and states with poor socio economic conditions recorded lesser corona cases. States such as Maharashtra, Kerala, Andhra Pradesh, Tamil Nadu and Karnataka with better socio economic conditions recorded a greater number of corona deaths. Gyanendra Singh Chauhan "Geographical Analysis of Covid 19: Its Relationship with Socio-Economic Conditions in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39871.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/geography/39871/geographical-analysis-of-covid-19-its-relationship-with-socioeconomic-conditions-in-india/gyanendra-singh-chauhan
This document discusses the COVID-19 pandemic, including its causes, symptoms, effects, and potential applications of technology. It describes how the coronavirus was first identified in Wuhan, China in late 2019 and has since spread globally. Key points covered include how the virus spreads and common symptoms like cough and fever. The wide-ranging economic and social impacts of the pandemic are also summarized, as well as some existing and proposed uses of artificial intelligence and ICT technologies to help monitor, predict, and respond to the outbreak.
Dr. Dave Pyburn - SIV Surveillance and Recent Fair Human InfectionsJohn Blue
SIV Surveillance and Recent Fair Human Infections - Dr. Dave Pyburn, USDA, APHIS, VS, from the 2012 Allen D. Leman Swine Conference, September 15-18, St. Paul, Minnesota, USA.
Indian Governance on SARS-COV2 Viral Outbreak – A Chronology. International J...Premier Publishers
The world is now facing an unprecedented crisis due to the novel coronavirus. The disease has spread around 210 countries and territories around the globe and infected (confirmed) more than twelve million people (09/07/2020). The global death rate due to coronavirus was around 584k, respectively. This intense situation emerges the necessity of drug discovery and vaccination against SARS-COV2. The total (cumulative) number of confirmed infected people is 767K until now across India (09 JUL 2020). Most of the research and newspaper articles focus on the number of infected people over the countries. In the absence of a vaccine, the preventive measures of maintaining basic personal hygiene and large-scale social distancing appears to be most effective against SARS-COV2 causing infection. The effect of preventing actions and lockdown was observed that the count was in control during the lockdown period. Complete unlocking protocols may elevate the possibility of viral spread. A sustained lockdown with considerable relaxation is suggested. This article discusses the timeline events and guidance of Indian governance on this pandemic 2020. Additionally, it also covers the graphical growth curvature of Morbidity and Mortality rate, centre’s accomplishments, economical inspection, and exponential growth.
- The COVID-19 lockdowns resulted in significant improvements in air quality in many parts of the world, with reductions in NO2, PM2.5, PM10 and other pollutants. Studies found reductions of up to 60% for NO2 and 31% for PM2.5.
- However, long-term exposure to air pollution may increase the risk of severe COVID-19 outcomes. Higher levels of PM2.5 and NO2 have been associated with increased COVID-19 mortality and higher rates of infection.
- Air pollution may enhance the transmission of COVID-19 through its effects on inflammation and the respiratory system. PM in particular may act as a carrier for virus droplets.
Astaxanthin is a naturally occurring carotenoid which is derived from the microalgae Haematococcuspluvialis. As well as being the most powerful antioxidant known to science, it also has potent anti-inflammatory properties. Naturalastaxanthin´s distinct advantage in comparison to other antioxidants, is its ability to span the entire lipid bilayer of the cell membrane, thus providing superior protection from the inside out. Natural astaxanthin has a strong ability to both balance and strengthen the immune system. This article reviews the current available scientific literature regarding the effect of astaxanthin from the algae Haematoccus pluvialis in Astashine capsules as a natural immune booster in covid-19 infections.
Does Liuzijue Qigong affect anxiety in patients with chronic obstructive pulm...LucyPi1
Abstract Background: Anxiety is a common comorbidity associated with chronic obstructive pulmonary disease (COPD), but no well-recognized method can provide effective relief. Liuzijue Qigong (LQG) is a traditional Chinese fitness method, based on breath pronunciation. This study aimed to examine the efficacy of LQG to relieve anxiety in COPD patients and to explore the factors that influence anxiety, including whether LQG is effective during the coronavirus disease 2019 (COVID-19) outbreak. Methods: We conducted an open-label, randomized, controlled, clinical trial. A total of 60 patients with stable COPD were randomly assigned to two groups. Both groups were given routine medical treatment, and the patients in the pulmonary rehabilitation (PR) group were given an extra intervention in the form of LQG, performed for 30 minutes each day for 12 weeks. Data collection was performed at baseline and 12 weeks (during the COVID-19 epidemic). The primary outcomes were the self-rating anxiety scale (SAS) scores, and the secondary outcomes were relevant information during the epidemic and analyses of the related factors that influenced SAS scores during the COVID-19 outbreak. Results: Compared with baseline, patients in both groups demonstrated varying degrees of improvements in their SAS scores (all P < 0.01). An analysis of covariance, adjusted for baseline scores, indicated that the SAS scores improved more dramatically in the PR group than in the control group (F = 9.539, P = 0.004). During the outbreak, the SAS scores for sleep disorder were higher than all other factors, reaching 1.38 ± 0.67, and the scores for “I can breathe in and out easily” for the PR group were lower than the scores for the control group (Z = −2.108, P = 0.035). Significant differences were identified between the two groups for the categories “How much has the outbreak affected your life”, “Do you practice LQG during the epidemic” and “Do you practice other exercises during the epidemic” (all P < 0.05). Compared with current reports, LQG had a relatively high adherence rate (80.95%). A multiple linear regression analysis revealed multiple predictors for SAS scores during the outbreak: group (b = −3.907, t = −3.824, P < 0.001), COPD assessment test score (b = 0.309, t = 2.876, P = 0.006), SAS score at baseline (b = 0.189, t = 3.074, P = 0.004), and living in a village (b = 4.886, t = 2.085, P = 0.043). Conclusion: LQG could effectively reduce the risks of anxiety among COPD patients, even during the COVID-19 outbreak. For those COPD patients with high COPD assessment test and high baseline SAS scores or who live in villages, we should reinforce the management and intervention of psychological factors during the epidemic.
Fact and Opinion about COVID-19 outbreak/Project Englishdanieldwi2
The document discusses the COVID-19 pandemic, caused by the SARS-CoV-2 virus. It describes how the outbreak began in Wuhan, China in December 2019 and was declared a pandemic by the WHO in March 2020. The virus spreads primarily through respiratory droplets from coughs and sneezes and can also spread by touching contaminated surfaces. Common symptoms include fever, cough and shortness of breath. There is no vaccine and treatment focuses on relieving symptoms. Preventive measures include hand washing, social distancing and self-isolation of those infected. The pandemic has caused major global socioeconomic disruptions.
Airborne COVID Study (2020) - Texas A&M, The University of Texas at Austin, C...chaganomics
Identifying airborne transmission as the dominant route for the spread of COVID-19. Various mitigation measures have been implemented to fight the coronavirus disease 2019 (COVID-19) pandemic, including widely adopted social distancing and mandated face covering.
This paper clearly shows the statistical analysis of the geographical coronavirus COVID-19 pandemic. Here, we have mentioned the total cases in comparison with total deaths as well as recovered cases. From this analysis we measure the ratio between the countries in accordance with their geographical location. So that the clear pictures gives why the virus affected this area, in our point the climate and antibiotic plays a vital role in this pandemic. The geographically affected COVID-19 cases are mentioned in the data table neatly.
Estimates of the severity of coronavirus disease 2019 - a model-based analysisGuy Boulianne
This study used individual-level case data and aggregate case/death counts from China, Hong Kong, Macau, and other countries to estimate key severity metrics for COVID-19, accounting for biases. The researchers estimated that the mean duration from symptom onset to death is 17.8 days, and to hospital discharge is 24.7 days. They estimated the case fatality ratio in China to be 1.38% overall but higher in older age groups, and the infection fatality ratio in China to be 0.66% with increasing risk with age. They also estimated the proportion of infections likely to require hospitalization increases with age up to 18.4% for those aged 80+.
Largest dengue outbreak of the decade with high fatality may be due to reemer...Dr.Arifa Akram
T. Shirin1, A. K. M. Muraduzzaman1, A. N. Alam1, S. Sultana1,M. Siddiqua4, M. H. Khan1, A. Akram1, A. R. Sharif2,S. Hossain2and M. S. Flora31) Department of Virology, 2) Department ofEpidemiology, 3) IEDCR and 4) Department of Microbiology, IbnSina MedicalCollege, Dhaka, Bangladesh.
This document discusses the COVID-19 situation in India from June 2020 to May 2021. It provides statistics on the rising number of cases and deaths during this period. It notes that while case growth has dropped to 5%, deaths remain high at over 27,000 for the week. It also discusses the identification of a new, more contagious variant in India and plans to launch a program on May 30th to help orphans of the pandemic.
1. India saw its highest single-day increase in COVID-19 cases on June 14, 2020, reporting over 11,000 new infections and pushing the total case count over 320,000.
2. Delhi also saw a spike in cases, reporting over 2,000 new infections on June 12 - its highest single-day increase at the time.
3. The top 5 worst-affected cities - Mumbai, Delhi, Ahmedabad, Chennai, and Thane - accounted for around 50% of India's total COVID-19 cases as of mid-June. Mumbai had the highest case count among Indian cities.
- India reported over 2.7 lakh new Covid-19 cases and 1,500 deaths in the last 24 hours. One in every third new Covid infection reported globally is now from India.
- Several states including Maharashtra, Uttar Pradesh, Karnataka, Kerala, and Delhi continue to report high daily case counts. The Covid situation in India is far worse than the rest of the world.
- Younger people are now showing entirely different Covid symptoms during the second wave such as sore throat, loose motions, and pink eyes. Health experts warn that a third wave in India is likely.
Respiratory virus shedding in exhaled breath and efficacy of face masksValentina Corona
1) The study identified seasonal human coronaviruses, influenza viruses, and rhinoviruses in exhaled breath and coughs of children and adults with acute respiratory illness.
2) Surgical face masks significantly reduced detection of influenza virus RNA in respiratory droplets and coronavirus RNA in aerosols. There was also a trend toward reduced detection of coronavirus RNA in respiratory droplets.
3) The results indicate that surgical face masks could help prevent transmission of human coronaviruses and influenza viruses from symptomatic individuals.
A brief study of Covid vaccination numbers and incidence of Covid cases till 2021 and early 2022 in some states of India. That is before the widespread takeover by omicron.
The study is done purely based on publicly available data and analysing them statistically.
The study raises the question did vaccination really reduce incidence, particularly taking into account the natural immunity developed by a huge section of population with undocumented past natural infection.
Archisman Nandy
The objective of this study is to make a comparison between five (5) most affected countries (USA, Brazil, U.K., Italy and India) of the world by Covid-19. The study is based on the secondary data. For conducting this study published data in online portal www.worldometers.info has been used. 4 months i.e. August 2020 to November 2020 has been chosen to carry out this study. For data analysis and interpretation Microsoft excel software (version 2019) has been used. Basic arithmetic technique and ratio analysis has been used in this study for data interpretation purpose. For measuring cyclical fluctuations in Covid-19 cases and its corresponding death cases, visual representation has been incorporated as bar diagram. Relevant images have been sourced from authentic sources and used in this study for satisfying the research objective. Finally the study has revealed that during the period of August 2020 to November 2020 Brazil is the most affected country and United States of America is the least affected country based on the mortality rate among the five countries taken as sample for this study
Forecasting the peak and fading out of novel coronavirus of 2019Islam Saeed
The document summarizes a statistical model that was developed to forecast the size, peak, and fading out of the 2019 novel coronavirus outbreak using confirmed case and death data. The model predicts that:
1) The outbreak will peak on February 20, 2020 with over 91,000 confirmed cases and 1,655 deaths worldwide.
2) The number of cases and deaths will then decline through the end of March 2020 as the outbreak fades out.
3) The outbreak will likely be completely died out by the first week of April 2020, according to the model.
Anxiety is natural response to any stressful situation. Pandemic can trigger the level of stress and anxiety among people. Present study attempted to assess the level of anxiety among adult in the Indian population during COVID-19 pandemic lockdown. On line survey was conducted with structured questionnaire, a total of 374 responses were received. Non-probability snowball sampling was adopted to collect the data. The anxiety level identified in this study was moderate to mild level. More than 58% had mild level of anxiety and 14% had severe anxiety. 28% of them expressed moderate amount of anxiety. It shows that there is need to create awareness and address the psychological problems during COVID- 19 pandemic lockdown.
Impact of COVID-19 caronavirus on poverty in Pakistan: a case study of SindhSubmissionResearchpa
The current research investigated the COVID-19 is spread vigorously in China, USA, France, Italy, Germany, and European countries and Iran Pakistan being as a neighbor country of china & IranOne was for the incoming Pakistani from various countries, such as Iran, China, Afghanistan, and India. The other was arranged inside various hospitals for COVID-19 positive cases. As hundreds and thousands of Pakistani were in Iran for religious purposes, they were. Most of the students and businessmen, inside China, were not allowed to come back. Handling of large scale influx from Iran was the main problem. Out of the total COVID-19 cases, 78 percent of cases were reported from visitors coming from Iran. Pakistan announced the closure of all schools, colleges & universities with a partial lockdown across the country for major cities. by Dr. Faiz Muhammad Shaikh, Ali Raza Memon and Kashaf Shaikh 2020. Impact of COVID-19 caronavirus on poverty in Pakistan: a case study of Sindh . International Journal on Integrated Education. 3, 6 (Jun. 2020), 72-83. DOI:https://doi.org/10.31149/ijie.v3i6.415. https://journals.researchparks.org/index.php/IJIE/article/view/415/391 https://journals.researchparks.org/index.php/IJIE/article/view/415
Geographical Analysis of Covid 19 Its Relationship with Socio Economic Condit...YogeshIJTSRD
The present paper aims to analyse the spatial variations in spread of corona cases and corona deaths and level of socio economic conditions in India. The causal relationship between corona cases and corona deaths and twenty selected socio economic variables has been taken into account. The state union territory has been taken as the smallest unit of study. The entire research work is based on secondary sources of data. The study reveals states with better socio economic conditions recorded higher corona cases and states with poor socio economic conditions recorded lesser corona cases. States such as Maharashtra, Kerala, Andhra Pradesh, Tamil Nadu and Karnataka with better socio economic conditions recorded a greater number of corona deaths. Gyanendra Singh Chauhan "Geographical Analysis of Covid 19: Its Relationship with Socio-Economic Conditions in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39871.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/geography/39871/geographical-analysis-of-covid-19-its-relationship-with-socioeconomic-conditions-in-india/gyanendra-singh-chauhan
This document discusses the COVID-19 pandemic, including its causes, symptoms, effects, and potential applications of technology. It describes how the coronavirus was first identified in Wuhan, China in late 2019 and has since spread globally. Key points covered include how the virus spreads and common symptoms like cough and fever. The wide-ranging economic and social impacts of the pandemic are also summarized, as well as some existing and proposed uses of artificial intelligence and ICT technologies to help monitor, predict, and respond to the outbreak.
Dr. Dave Pyburn - SIV Surveillance and Recent Fair Human InfectionsJohn Blue
SIV Surveillance and Recent Fair Human Infections - Dr. Dave Pyburn, USDA, APHIS, VS, from the 2012 Allen D. Leman Swine Conference, September 15-18, St. Paul, Minnesota, USA.
Indian Governance on SARS-COV2 Viral Outbreak – A Chronology. International J...Premier Publishers
The world is now facing an unprecedented crisis due to the novel coronavirus. The disease has spread around 210 countries and territories around the globe and infected (confirmed) more than twelve million people (09/07/2020). The global death rate due to coronavirus was around 584k, respectively. This intense situation emerges the necessity of drug discovery and vaccination against SARS-COV2. The total (cumulative) number of confirmed infected people is 767K until now across India (09 JUL 2020). Most of the research and newspaper articles focus on the number of infected people over the countries. In the absence of a vaccine, the preventive measures of maintaining basic personal hygiene and large-scale social distancing appears to be most effective against SARS-COV2 causing infection. The effect of preventing actions and lockdown was observed that the count was in control during the lockdown period. Complete unlocking protocols may elevate the possibility of viral spread. A sustained lockdown with considerable relaxation is suggested. This article discusses the timeline events and guidance of Indian governance on this pandemic 2020. Additionally, it also covers the graphical growth curvature of Morbidity and Mortality rate, centre’s accomplishments, economical inspection, and exponential growth.
- The COVID-19 lockdowns resulted in significant improvements in air quality in many parts of the world, with reductions in NO2, PM2.5, PM10 and other pollutants. Studies found reductions of up to 60% for NO2 and 31% for PM2.5.
- However, long-term exposure to air pollution may increase the risk of severe COVID-19 outcomes. Higher levels of PM2.5 and NO2 have been associated with increased COVID-19 mortality and higher rates of infection.
- Air pollution may enhance the transmission of COVID-19 through its effects on inflammation and the respiratory system. PM in particular may act as a carrier for virus droplets.
Astaxanthin is a naturally occurring carotenoid which is derived from the microalgae Haematococcuspluvialis. As well as being the most powerful antioxidant known to science, it also has potent anti-inflammatory properties. Naturalastaxanthin´s distinct advantage in comparison to other antioxidants, is its ability to span the entire lipid bilayer of the cell membrane, thus providing superior protection from the inside out. Natural astaxanthin has a strong ability to both balance and strengthen the immune system. This article reviews the current available scientific literature regarding the effect of astaxanthin from the algae Haematoccus pluvialis in Astashine capsules as a natural immune booster in covid-19 infections.
Does Liuzijue Qigong affect anxiety in patients with chronic obstructive pulm...LucyPi1
Abstract Background: Anxiety is a common comorbidity associated with chronic obstructive pulmonary disease (COPD), but no well-recognized method can provide effective relief. Liuzijue Qigong (LQG) is a traditional Chinese fitness method, based on breath pronunciation. This study aimed to examine the efficacy of LQG to relieve anxiety in COPD patients and to explore the factors that influence anxiety, including whether LQG is effective during the coronavirus disease 2019 (COVID-19) outbreak. Methods: We conducted an open-label, randomized, controlled, clinical trial. A total of 60 patients with stable COPD were randomly assigned to two groups. Both groups were given routine medical treatment, and the patients in the pulmonary rehabilitation (PR) group were given an extra intervention in the form of LQG, performed for 30 minutes each day for 12 weeks. Data collection was performed at baseline and 12 weeks (during the COVID-19 epidemic). The primary outcomes were the self-rating anxiety scale (SAS) scores, and the secondary outcomes were relevant information during the epidemic and analyses of the related factors that influenced SAS scores during the COVID-19 outbreak. Results: Compared with baseline, patients in both groups demonstrated varying degrees of improvements in their SAS scores (all P < 0.01). An analysis of covariance, adjusted for baseline scores, indicated that the SAS scores improved more dramatically in the PR group than in the control group (F = 9.539, P = 0.004). During the outbreak, the SAS scores for sleep disorder were higher than all other factors, reaching 1.38 ± 0.67, and the scores for “I can breathe in and out easily” for the PR group were lower than the scores for the control group (Z = −2.108, P = 0.035). Significant differences were identified between the two groups for the categories “How much has the outbreak affected your life”, “Do you practice LQG during the epidemic” and “Do you practice other exercises during the epidemic” (all P < 0.05). Compared with current reports, LQG had a relatively high adherence rate (80.95%). A multiple linear regression analysis revealed multiple predictors for SAS scores during the outbreak: group (b = −3.907, t = −3.824, P < 0.001), COPD assessment test score (b = 0.309, t = 2.876, P = 0.006), SAS score at baseline (b = 0.189, t = 3.074, P = 0.004), and living in a village (b = 4.886, t = 2.085, P = 0.043). Conclusion: LQG could effectively reduce the risks of anxiety among COPD patients, even during the COVID-19 outbreak. For those COPD patients with high COPD assessment test and high baseline SAS scores or who live in villages, we should reinforce the management and intervention of psychological factors during the epidemic.
Fact and Opinion about COVID-19 outbreak/Project Englishdanieldwi2
The document discusses the COVID-19 pandemic, caused by the SARS-CoV-2 virus. It describes how the outbreak began in Wuhan, China in December 2019 and was declared a pandemic by the WHO in March 2020. The virus spreads primarily through respiratory droplets from coughs and sneezes and can also spread by touching contaminated surfaces. Common symptoms include fever, cough and shortness of breath. There is no vaccine and treatment focuses on relieving symptoms. Preventive measures include hand washing, social distancing and self-isolation of those infected. The pandemic has caused major global socioeconomic disruptions.
Airborne COVID Study (2020) - Texas A&M, The University of Texas at Austin, C...chaganomics
Identifying airborne transmission as the dominant route for the spread of COVID-19. Various mitigation measures have been implemented to fight the coronavirus disease 2019 (COVID-19) pandemic, including widely adopted social distancing and mandated face covering.
This paper clearly shows the statistical analysis of the geographical coronavirus COVID-19 pandemic. Here, we have mentioned the total cases in comparison with total deaths as well as recovered cases. From this analysis we measure the ratio between the countries in accordance with their geographical location. So that the clear pictures gives why the virus affected this area, in our point the climate and antibiotic plays a vital role in this pandemic. The geographically affected COVID-19 cases are mentioned in the data table neatly.
Estimates of the severity of coronavirus disease 2019 - a model-based analysisGuy Boulianne
This study used individual-level case data and aggregate case/death counts from China, Hong Kong, Macau, and other countries to estimate key severity metrics for COVID-19, accounting for biases. The researchers estimated that the mean duration from symptom onset to death is 17.8 days, and to hospital discharge is 24.7 days. They estimated the case fatality ratio in China to be 1.38% overall but higher in older age groups, and the infection fatality ratio in China to be 0.66% with increasing risk with age. They also estimated the proportion of infections likely to require hospitalization increases with age up to 18.4% for those aged 80+.
Largest dengue outbreak of the decade with high fatality may be due to reemer...Dr.Arifa Akram
T. Shirin1, A. K. M. Muraduzzaman1, A. N. Alam1, S. Sultana1,M. Siddiqua4, M. H. Khan1, A. Akram1, A. R. Sharif2,S. Hossain2and M. S. Flora31) Department of Virology, 2) Department ofEpidemiology, 3) IEDCR and 4) Department of Microbiology, IbnSina MedicalCollege, Dhaka, Bangladesh.
This document discusses the COVID-19 situation in India from June 2020 to May 2021. It provides statistics on the rising number of cases and deaths during this period. It notes that while case growth has dropped to 5%, deaths remain high at over 27,000 for the week. It also discusses the identification of a new, more contagious variant in India and plans to launch a program on May 30th to help orphans of the pandemic.
1. India saw its highest single-day increase in COVID-19 cases on June 14, 2020, reporting over 11,000 new infections and pushing the total case count over 320,000.
2. Delhi also saw a spike in cases, reporting over 2,000 new infections on June 12 - its highest single-day increase at the time.
3. The top 5 worst-affected cities - Mumbai, Delhi, Ahmedabad, Chennai, and Thane - accounted for around 50% of India's total COVID-19 cases as of mid-June. Mumbai had the highest case count among Indian cities.
- India reported over 2.7 lakh new Covid-19 cases and 1,500 deaths in the last 24 hours. One in every third new Covid infection reported globally is now from India.
- Several states including Maharashtra, Uttar Pradesh, Karnataka, Kerala, and Delhi continue to report high daily case counts. The Covid situation in India is far worse than the rest of the world.
- Younger people are now showing entirely different Covid symptoms during the second wave such as sore throat, loose motions, and pink eyes. Health experts warn that a third wave in India is likely.
Respiratory virus shedding in exhaled breath and efficacy of face masksValentina Corona
1) The study identified seasonal human coronaviruses, influenza viruses, and rhinoviruses in exhaled breath and coughs of children and adults with acute respiratory illness.
2) Surgical face masks significantly reduced detection of influenza virus RNA in respiratory droplets and coronavirus RNA in aerosols. There was also a trend toward reduced detection of coronavirus RNA in respiratory droplets.
3) The results indicate that surgical face masks could help prevent transmission of human coronaviruses and influenza viruses from symptomatic individuals.
A brief study of Covid vaccination numbers and incidence of Covid cases till 2021 and early 2022 in some states of India. That is before the widespread takeover by omicron.
The study is done purely based on publicly available data and analysing them statistically.
The study raises the question did vaccination really reduce incidence, particularly taking into account the natural immunity developed by a huge section of population with undocumented past natural infection.
Archisman Nandy
The objective of this study is to make a comparison between five (5) most affected countries (USA, Brazil, U.K., Italy and India) of the world by Covid-19. The study is based on the secondary data. For conducting this study published data in online portal www.worldometers.info has been used. 4 months i.e. August 2020 to November 2020 has been chosen to carry out this study. For data analysis and interpretation Microsoft excel software (version 2019) has been used. Basic arithmetic technique and ratio analysis has been used in this study for data interpretation purpose. For measuring cyclical fluctuations in Covid-19 cases and its corresponding death cases, visual representation has been incorporated as bar diagram. Relevant images have been sourced from authentic sources and used in this study for satisfying the research objective. Finally the study has revealed that during the period of August 2020 to November 2020 Brazil is the most affected country and United States of America is the least affected country based on the mortality rate among the five countries taken as sample for this study
Social media engagement on COVID-19 vaccination during the pandemic: Cross-se...Pugalendhi R
. Social media plays an idealistic part in the present society. It assumes a significant role in expanding public awareness
and gathers perspectives. Thus, social media has taken a huge place among people all over the world. And the ideas shared on
social media reach people instantly. The Covid-19 virus, which is affecting more and more people around the world, It has infected
millions in various countries and caused many thousands of deaths. In India, a country with a large population, the incidence of
this virus is really higher. A Pune-based serum company has won a contract to develop the Covishield, a vaccine developed by the
University of Oxford in the United Kingdom to control the virus. And Bharat Biotech, based in Hyderabad has developed a vaccine
called 'Covaxin' in the national level invention. The two vaccines have been approved by the federal government for use on an
emergency basis. Accordingly, the Ministry of Health and Family Welfare of India has confirmed that these two vaccines are
completely safe. Covid-19 vaccination is currently being implemented across India. This study explains whether the news about
the Covid-19 vaccine that is appearing on social media at the moment is raising awareness or causing fear among the people. For
this study the researcher selected the most Covid-19 affected areas in Chennai, Namely called Royapuram, Thiru Vi Ka Nagar,
Anna Nagar, and Kodambakkam. A total of 320 Respondents participated in the study and responded. This study was conducted
from 10 March 2021 to 10 April 2021.
Scopus Indexed Journal- AIP Conference Proceedings May 2023.pdfPugalendhi R
Social media engagement on COVID-19 vaccination during the pandemic: Cross-sectional survey in Chennai metropolitan
The document summarizes a survey conducted in Chennai, India from March to April 2021 on social media usage and perceptions of COVID-19 vaccines. The survey found that WhatsApp and YouTube were the most widely used and trusted social media platforms. While social media helped increase awareness, it also spread misinformation at times. Most age groups followed social media for vaccine information, with WhatsApp being the predominant source. The study aimed to understand social media's role in shaping views on vaccination.
The document discusses COVID-19, describing what it is, how it spreads, and who is most at risk. It then discusses factors in the environment that can affect the transmission of COVID-19, such as relative humidity, air temperature, and fecal contamination of water. Finally, it provides results of studies on how temperature, humidity, and wind speed can influence the spread and viability of the COVID-19 virus.
This document summarizes a student project on visualizing and predicting the COVID-19 situation in India using machine learning. It includes sections on what COVID-19 is, its structure and genetics, symptoms, transmission, the current situation, treatment, the datasets and algorithms used. It discusses cases in initial epicenters like China, Italy, and the US. It also covers social distancing, future predictions for India using various models, and concludes with opportunities to improve the predictive software.
The susceptible-infected-recovered-dead model for long-term identification o...IJECEIAES
The coronavirus (COVID-19) epidemic has spread massively to almost all countries including Indonesia, in just a few months. An important step to overcoming the spread of the COVID-19 is understanding its epidemiology through mathematical modeling intervention. Knowledge of epidemic dynamics patterns is an important part of making timely decisions and preparing hospitals for the outbreak peak. In this study, we developed the susceptible-infected-recovered-dead (SIRD) model, which incorporates the key epidemiological parameters to model and estimate the long-term spread of the COVID-19. The proposed model formulation is data-based analysis using public COVID-19 data from March 2, 2020 to May 15, 2021. Based on numerical analysis, the spread of the pandemic will begin to fade out after November 5, 2021. As a consequence of this virus attack, the cumulative number of infected, recovered, and dead people were estimated at ≈ 3,200,000, ≈ 3,437,000 and ≈ 63,000 people, respectively. Besides, the key epidemiological parameter indicates that the average reproduction number value of COVID-19 in Indonesia is 7.32. The long-term prediction of COVID-19 in Indonesia and its epidemiology can be well described using the SIRD model. The model can be applied in specific regions or cities in understanding the epidemic pattern of COVID-19.
Future Prediction Using Supervised Machine Learning for COVID-19IRJET Journal
This document discusses using machine learning methods to predict future cases of COVID-19. It proposes using the long short-term integrated average (LSTIA) method to predict the number of COVID-19 cases in the next 30 days and examine the effects of preventive measures. The LSTIA method and support vector machine (SVM) and least absolute shrinkage and selection operator (LASSO) algorithms are used to analyze COVID-19 case data and make predictions about newly infected cases, deaths, and recoveries. The document concludes the LSTIA method can accurately predict short-term COVID-19 indicators and provide information to help control measures.
This document summarizes a scoping review of research on using deep learning models to diagnose COVID-19 from cough audio recordings. It finds that convolutional neural networks were predominantly used to analyze features extracted from cough sounds. Reported accuracy for COVID diagnosis from cough audio ranged from 73.1% to 98.5% across studies using different datasets varying in size from 16 to over 30,000 cough recordings. However, the review identifies a gap in research conducted on large, diversified datasets.
The document discusses COVID-19 and the potential role of environmental factors in its transmission. It provides details about COVID-19, including that it is caused by SARS-CoV-2 and causes respiratory illness. It then discusses how the virus's behavior and susceptibility can vary in different environments. Factors like relative humidity, material of contaminated surfaces, and air temperature may influence how long the virus survives. The spread of the virus through fecal contamination of water is also a possible transmission route. Researchers are working to understand environmental factors that could affect COVID-19 transmission to help control outbreaks.
This document summarizes a research paper that surveys the use of deep learning and medical image processing techniques for detecting and responding to the COVID-19 pandemic. It discusses how deep learning has been applied to medical image analysis for various healthcare applications. It then reviews state-of-the-art research applying deep learning to COVID-19 medical imaging for detection and diagnosis. It also presents examples of this approach being used in China, Korea, and Canada. Finally, it discusses challenges and opportunities for further improving deep learning for COVID-19 medical imaging.
The document provides information on the COVID-19 pandemic as of April 2020. It discusses the epidemiology and spread of the virus globally. Key points include:
- COVID-19 originated in Wuhan, China in late 2019 and has since spread to over 210 countries. As of April 2020, there were over 29 lakh confirmed cases and 200,568 deaths worldwide, with the US becoming the new epicenter.
- The virus spreads mainly person-to-person via respiratory droplets. Common symptoms include fever, cough and shortness of breath, though many cases are asymptomatic. Chest CT scans show bilateral lung involvement like ground-glass opacities or consolidation.
- While most cases are mild, the elderly and those
The document provides information on the novel coronavirus (COVID-19) pandemic, including:
1) It describes the epidemiology and spread of COVID-19 globally, with over 29 lakh reported cases across 210 countries as of April 2020, and identifies the United States as the new epicenter.
2) It summarizes the natural history and clinical presentation of COVID-19, which commonly includes fever, cough, and shortness of breath, and can progress to severe pneumonia and multi-organ failure in vulnerable groups.
3) It discusses diagnosis of COVID-19 using RT-PCR testing of respiratory samples and treatment being primarily supportive care and ventilation for severe cases, as there is no proven antiviral treatment yet.
The document discusses the COVID-19 pandemic, including the origins and spread of SARS-CoV-2. It describes key events like the virus being first identified in Wuhan, China in late 2019, the WHO declaring a public health emergency in January 2020, and the virus spreading widely in the United States between late January and February 2020. It also discusses recommendations from the CDC on preventive measures like social distancing and mask-wearing during surges. Finally, it lists common comorbidities and risk factors like older age, obesity, and heart or lung conditions that are associated with more severe COVID-19 outcomes.
This systematic review and meta-analysis examined epidemiological characteristics of COVID-19 using data from 43 studies. The analysis found that the pooled mean incubation period was 5.68 days, the pooled mean time from symptom onset to first medical visit was 4.92 days, and the pooled case fatality rate among confirmed COVID-19 patients was 2%. The review provides estimates of key epidemiological metrics that can help inform public health responses to the COVID-19 pandemic.
The document discusses the novel coronavirus SARS-CoV-2 (COVID-19) that has become a worldwide threat. It provides an overview of the virus for emergency clinicians, including its epidemiology, prevention, and treatment. Key points are that the case fatality rate is approximately 4% but sampling error may be large, 29% of confirmed cases in China are healthcare workers suggesting alarming nosocomial spread, and gastrointestinal symptoms like diarrhea are common and associated with worse outcomes. Lessons can be learned from early outbreak centers in preparing local healthcare systems for high patient volumes requiring respiratory support.
1. The document describes a fuzzy logic-based decision-making system to predict the risk of a person being infected with COVID-19 based on their symptoms and parameters.
2. The system uses 8 input variables like fever, cough, breathing difficulty, etc. and 1 output variable of COVID-19 prognosis. It defines membership functions and 77 fuzzy rules to relate the inputs and output.
3. Testing on real patient data yielded an accuracy of 97.2%, sensitivity of 100%, and specificity of 96.2% in predicting low, moderate, and high risk of COVID-19 infection.
This document discusses Covid-19, including its symptoms, transmission, and testing methods. It provides background on how the virus originated in China and spread to Indonesia. It describes common symptoms like coughing, fever and diarrhea. The document also explains that Covid-19 spreads through respiratory droplets from infected individuals. It compares the rapid test and PCR test for detecting the virus, noting that rapid tests use blood samples while PCR tests use mucus samples. Throughout, it emphasizes the importance of hand washing, social distancing and other hygiene practices to prevent the spread of Covid-19.
A presentation on Covid-19 Tracker website. In this, you will get to know about what is Covid Pandemic, how one can be safer, what to do, what not to do. This project has used API Integration to fetch the real time data.
End-tidal carbon dioxide (ETCO2) is the level of carbon dioxide that is released at the end of an exhaled breath. ETCO2 levels reflect the adequacy with which carbon dioxide (CO2) is carried in the blood back to the lungs and exhaled.
Non-invasive methods for ETCO2 measurement include capnometry and capnography. Capnometry provides a numerical value for ETCO2. In contrast, capnography delivers a more comprehensive measurement that is displayed in both graphical (waveform) and numerical form.
Sidestream devices can monitor both intubated and non-intubated patients, while mainstream devices are most often limited to intubated patients.
The facial nerve, also known as cranial nerve VII, is one of the 12 cranial nerves originating from the brain. It's a mixed nerve, meaning it contains both sensory and motor fibres, and it plays a crucial role in controlling various facial muscles, as well as conveying sensory information from the taste buds on the anterior two-thirds of the tongue.
Chandrima Spa Ajman is one of the leading Massage Center in Ajman, which is open 24 hours exclusively for men. Being one of the most affordable Spa in Ajman, we offer Body to Body massage, Kerala Massage, Malayali Massage, Indian Massage, Pakistani Massage Russian massage, Thai massage, Swedish massage, Hot Stone Massage, Deep Tissue Massage, and many more. Indulge in the ultimate massage experience and book your appointment today. We are confident that you will leave our Massage spa feeling refreshed, rejuvenated, and ready to take on the world.
Visit : https://massagespaajman.com/
Call : 052 987 1315
English Drug and Alcohol Commissioners June 2024.pptxMatSouthwell1
Presentation made by Mat Southwell to the Harm Reduction Working Group of the English Drug and Alcohol Commissioners. Discuss stimulants, OAMT, NSP coverage and community-led approach to DCRs. Focussing on active drug user perspectives and interests
Unlocking the Secrets to Safe Patient Handling.pdfLift Ability
Furthermore, the time constraints and workload in healthcare settings can make it challenging for caregivers to prioritise safe patient handling Australia practices, leading to shortcuts and increased risks.
The Importance of Black Women Understanding the Chemicals in Their Personal C...bkling
Certain chemicals, such as phthalates and parabens, can disrupt the body's hormones and have significant effects on health. According to data, hormone-related health issues such as uterine fibroids, infertility, early puberty and more aggressive forms of breast and endometrial cancers disproportionately affect Black women. Our guest speaker, Jasmine A. McDonald, PhD, an Assistant Professor in the Department of Epidemiology at Columbia University in New York City, discusses the scientific reasons why Black women should pay attention to specific chemicals in their personal care products, like hair care, and ways to minimize their exposure.
This particular slides consist of- what is Pneumothorax,what are it's causes and it's effect on body, risk factors, symptoms,complications, diagnosis and role of physiotherapy in it.
This slide is very helpful for physiotherapy students and also for other medical and healthcare students.
Here is a summary of Pneumothorax:
Pneumothorax, also known as a collapsed lung, is a condition that occurs when air leaks into the space between the lung and chest wall. This air buildup puts pressure on the lung, preventing it from expanding fully when you breathe. A pneumothorax can cause a complete or partial collapse of the lung.
We are one of the top Massage Spa Ajman Our highly skilled, experienced, and certified massage therapists from different corners of the world are committed to serving you with a soothing and relaxing experience. Luxuriate yourself at our spas in Sharjah and Ajman, which are indeed enriched with an ambiance of relaxation and tranquility. We could confidently claim that we are one of the most affordable Spa Ajman and Sharjah as well, where you can book the massage session of your choice for just 99 AED at any time as we are open 24 hours a day, 7 days a week.
Visit : https://massagespaajman.com/
Call : 052 987 1315
Michigan HealthTech Market Map 2024. Includes 7 categories: Policy Makers, Academic Innovation Centers, Digital Health Providers, Healthcare Providers, Payers / Insurance, Device Companies, Life Science Companies, Innovation Accelerators. Developed by the Michigan-Israel Business Accelerator
1. 0
ANALYSIS REPORT
ON
“Covid-19 PANDEMIC INIDA”
2019-2020
SUBMITTED BY
AKASH KUNDU ( 11001 )
AKSHAY KALE ( 11004 )
SHUBHAM RAJPUT ( 11023 )
SIDDHANT FULZELE ( 11024 )
TEJAS AKADKAR ( 11027 )
VINAY KUMAR KUSHWAHA ( 11030 )
Submitted in partial fulfillment of the requirements for
qualifying
M.Sc.(Data Science) – SEM II
Department of Computer Science
DECCAN EDUCATION SOCIETY'S
FERGUSSON COLLEGE (AUTONOMOUS),
PUNE:- 411 004
2. 1
Deccan Education Society’s
Fergusson College (Autonomous), Pune
Department Of Computer Science
CERTIFICATE
This is to certify that the project entitled
_____ Covid-19 PANDEMIC INIDA ______________________ submitted by
1. _Aakash Kundu (11001)______________
2. _Akshay Kale (11004)________________
3. _Shubham Rajput (11023)____________
4. _Siddhant Fulzele (11024)____________
5. _Tejas Akadkar (11027)______________
5. _Vinay Khushwaha (11030)______________
in partial fulfillment of the requirement of the completion of M.Sc.(Data Science)-I
[Semester-II], has been carried out by them under our guidance satisfactorily
during the academic year 2019-2020.
Place: Pune
Date: / /2020
Head of Department
Department Of Computer Science
Fergusson College, Pune
Project Guide:
1. ______________
Examiners Name Sign
1. ___________________________ _______________
2. ___________________________ ____________________
4. 3
ACKNOWLEDGEMENT
Words fall short to express our deep sense of gratitude towards them all who have
imparted their valuable time, energy and intellect towards the beautification of our
Analysis project entitled as, “Covid-19 Pandemic India”.
It gives us a great pleasure in presenting this report. Its justification will never sound
good if we do not express our vote of thanks to our guide Prof. Swati Satpute
without whose help our Analysis & its thesis would have neither began nicely nor
would have reached a fine ending.
Never can we forget the hard labor & pain taken by our H.O.D. & All Professors
who’s hard – working nature, sophisticated teaching & guidance helped us framing
& building this project & lastly we are also thankful to www.covid19india.org and
their Research Team for being directly or indirectly helpful to us to build our project
to be presented to the college.
By:-
AKASH JAGDISH KUNDU
AKSHAY PARSHURAM KALE
SHUBHAM RAJENDRA RAJPUT
SIDDHANT BALIRAM FULZELE
TEJAS PRADEEP AKADKAR
VINAY KHUSHWAHA
5. 4
Content
Sr. No. Content Page No.
1 Introduction
1.1 Introduction Covid-19 07
1.2 Pandemic 07
1.3 Problem Statement 08
2 Literature Survey
2.1 Research Papers Referred 10
2.2 Data Source 10
3 Data & Preprocessing
3.1 Data Description 12
3.2 Technologies Used 14
3.3 Data Pre-Processing 14
3.4 Data Exploration 15
4 Analysis
4.1 Analysis 17
4.2 R Factor 22
4.3 Doubling Rate 23
4.4 Death Rate 24
4.5 Recovery Rate 25
4.6 Cluster Analysis 26
4.7 Lockdown Analysis 29
5 Conclusion And Future Work
5.1 Conclusion 32
5.2 Future Enhancement 33
6 Bibliography 35
6. 5
LIST OF DIAGRAM
Sr.No. Figure No. Chart Name
1 4.1 Total Cases Time Series
2 4.2 Percentage Rate
3 4.3 Gender Rate
4 4.4 Global Test Rate
5 4.5 Lockdown Phase Time Series
6 4.6 State Comparison
7 4.7 Confirm Cases Map
8 4.8 R0 Factor
9 4.9 Doubling Rate
10 4.10 Death Rate
11 4.11 Recovery Rate
12 4.12 Urban Population Map
13 4.13 GDP India Map
14 4.14 Lockdown Comparison
8. 7
7
1.1 INTRODUCTION:
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in
Wuhan, China, and has resulted in an ongoing pandemic. The first case may be traced back to 17
November 2019. As of 8 June 2020, more than 6.98 million cases have been reported across 188
countries and territories, resulting in more than 401,000 deaths. More than 3.13 million people
have recovered.
The virus is primarily spread between people during close contact, most often via small
droplets produced by coughing, sneezing, and talking. The droplets usually fall to the ground or
onto surfaces rather than travelling through air over long distances. Less commonly, people may
become infected by touching a contaminated surface and then touching their face. It is most
contagious during the first three days after the onset of symptoms, although spread is possible
before symptoms appear, and from people who do not show symptoms
The virus is primarily spread between people during close contact, most often via small
droplets produced by coughing, sneezing, and talking. The droplets usually fall to the ground or
onto surfaces rather than travelling through air over long distances. Less commonly, people may
become infected by touching a contaminated surface and then touching their face. It is most
contagious during the first three days after the onset of symptoms, although spread is possible
before symptoms appear, and from people who do not show symptoms.
1.2 PANDEMIC :
The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing
pandemic of coronavirus disease 2019 (COVID‑19), caused by severe acute respiratory
syndrome coronavirus 2 (SARS‑CoV‑2). The outbreak was first identified in Wuhan, China, in
December 2019. The World Health Organization declared the outbreak a Public Health
Emergency of International Concern on 30 January, and a pandemic on 11 March.
A global coordinated effort is needed to stop the further spread of the virus. A
pandemic is defined as “occurring over a wide geographic area and affecting an exceptionally
high proportion of the population.” The last pandemic reported in the world was the H1N1 flu
pandemic in 2009.
9. 8
8
Coronaviruses are important human and animal pathogens. At the end of 2019, a novel
coronavirus was identified as the cause of a cluster of pneumonia cases in Wuhan, a city in the
Hubei Province of China. It rapidly spread, resulting in an epidemic throughout China, followed
by an increasing number of cases in other countries throughout the world. On 30th
January 2020
India recorded its first COVID-19 case in state of Kerala. It was a student who had travel history
to china. And till the start of June India has over 200 thousand confirmed cases.
1.3 PROBLEM STATEMENT:
In this project we dived deep into ‘What does data say about Covid-19 situation in India?’.
And with available data we came up with some observations and conclusions.
This analysis mainly focuses on:
✔What is the current COVID-19 situation in India?
✔State-wise comparison.
✔What could be the reasons behind cases clusters found in India.
✔Is lockdown in India successful or not?
11. 10
2.1RESEARCH PAPER REFERRED
1) Covid-19 impact on Indian Economy
Authers:
● S. Mahendra Dev (Indira Gandhi Institute of Development Research)
● Rajeshwari Sengupta (Indira Gandhi Institute of Development Research)
https://ideas.repec.org/p/ind/igiwpp/2020-013.html
2) COVID-19 in India: Potential Impact of the Lockdown and Other Longer-Term
Policies
Authers:
● Emily Schueller (CDDEP)
● Eili Klein (Department of Emergency Medicine, Johns Hopkins School of
Medicine; CDDEP)
● Gary Lin (Department of Emergency Medicine, Johns Hopkins School of
Medicine
https://cddep.org/wp-content/uploads/2020/04/India-Shutdown-Modeling-Slides-
Final-2.pdf
2.2DATA SOURCES
For the COVID-19 data we have scrapped https://api.covid19india.org which is a
volunteer-driven, crowdsourced database for COVID-19 stats & patient tracing in India .
For facts and information we have referred www.wikipedia.com and www.twitter.com .
13. 12
3.1 DATA DISCRIPTION
Data contains multiple files which includes
Raw_data : It has all the raw information about COVID-19 in India.
Having Columns ['agebracket', 'backupnotes',
'contractedfromwhichpatientsuspected', 'currentstatus', 'dateannounced', 'detectedcity',
'detecteddistrict', 'detectedstate', 'estimatedonsetdate', 'gender', 'nationality', 'notes', 'numcases',
'patientnumber', 'source1', 'source2', 'source3', 'statecode', 'statepatientnumber',
'statuschangedate', 'typeoftransmission', 'entryid']
Statewise_data : It contains state wise data of COVID-19.
Having Columns ['active', 'confirmed', 'deaths', 'deltaconfirmed', 'deltadeaths',
'deltarecovered', 'lastupdatedtime', 'migratedother', 'recovered', 'state', 'statecode', 'statenotes']
Daily_data : It contains number of patient recorded on daily basis.
Having Columns ['dailyconfirmed', 'dailydeceased', 'dailyrecovered', 'date',
'totalconfirmed', 'totaldeceased', 'totalrecovered']
Test_data : Tests conducted in every state.
Having Columns ['individualstestedperconfirmedcase',
'positivecasesfromsamplesreported', 'samplereportedtoday', 'source', 'testpositivityrate',
'testsconductedbyprivatelabs', 'testsperconfirmedcase', 'testspermillion', 'totalindividualstested',
'totalpositivecases', 'totalsamplestested', 'updatetimestamp']
State_wise_GDP : All States GDP values of last 8 years.
14. 13
Having Columns ['state/ut', '2019-20']
State_wise_Population : All states’ population figures according to 2011 Census
Having Columns ['state/ut', 'Population', 'Decadal Groth', 'Rural Population',
'Urban Population', 'Area', 'Density', 'Sex ratio'
15. 14
3.2 TECHNOLOGIES USED
Python for data scrapping , preprocessing , visualization etc.
Libraries Used :
1) Scrapy : Scraping data from Web
2) Pandas : Working with data files
3) Numpy : for Scientific Calculation
4) Matplotlib : Basic Visualization
5) Plotly : Advance Visualization
6) Dash : Creating Dashboard
Tableau for visualization.
Tableau is powerful visualization tool which allow us to plot geo-informatical
Data.
3.3 DATA PRE-PROCESSING
Data preprocessing is a data mining technique that involves transforming raw data into an
understandable format. Real-world data is often incomplete, inconsistent, and/or lacking in certain
behaviors or trends, and is likely to contain many errors. Data preprocessing is a proven method
of resolving such issues. Data preprocessing prepares raw data for further processing.
Steps Used :
1.Scrapped data was in raw form all information in a single file. So we needed to make
separate files based on their purpose.
2.Death rate in each state is calculated by the formula (number of deaths/total confirmed
cases)*100.
3. Recovery rate in each state is calculated by the formula (number of recoveries / total
confirmed cases)*100.
4.Split the data according to the lockdown periods.
5.Null values in state wise GDP data filled with average.
16. 15
3.4 DATA EXPLORATION
3.4.1 TYPES OF VISUALIZATION USED
Pie chart: To show active ,recovered, death percentage due to COVID and gender
distribution.
Bar Plot: To show state comparison on various factors, age-wise distribution etc.
Line Plot : To show confirmed , recovered , deceased trend on daily basis.
3D plot: To show state wise daily count of confirmed cases.
3.4.2 TECHNOLOGIES USED FOR VISUALIZATION
Python and Tableau are used to make all the visualizations which are
displayed on the dashboard.
Plotly and matplotlib are the python libraries used for the visualization
18. 17
4.1 ANALYSIS ( IMPLEMENTATION )
India recorded its first COVID-19 case on 30th
January 2020 in kerala. The infected
person was a student who had travelled to china for academic purpose. And since then cases in
India is rising exponentially.
A complete Dashboard is released on http://siddfulzele.pythonanywhere.com/covid_India/
What is the current situation in India?
( Fig 4.1 )
As shown above, India had recorded over 500 cases till 24th
March. So government declared
nation-wide lockdown from 25th
march to 14th
April also known as lockdown 1.0 and after this
government has been extending nation-wide lockdown step by step.
Situation in India till 7th June 2020.
Confirm Cases : 257487
Recovered : 123848
Active : 126433
Deceased : 7206
19. 18
( Fig 4.2 )
India is showing good recovery rate day by day with low rate of deaths but on the other hand it is
also reaching new peak of confirmed cases everyday.
If we talk at the level of patients then as per sample size 21936 cases,
( Fig 4.3 )
As shown above, number of infected males is greater than that of females. The more exposure of
males in Indian family to outside work could be the reason behind this.
20. 19
India is highly criticized by experts for the low number of tests being conducted.
( Fig 4.4 )
(Image source: https://ourworldindata.org/grapher/full-list-cumulative-total-tests-per-
housand?time=..)
As shown in the graph above India places itself at the tail-end of this comparison. Low number
of tests conducted was the reason behind at the lower end in world wide tally of COVID-19
cases in early days. But as of now we are observing 8-9 thousand people being found positive
every day.
21. 20
( Fig 4.5 )
As confirmed cases are increasing day by day the positive side is recovered number is also
showing somewhat same behaviour with less number of people dying of COVID-19.India is yet
to reach its peak of confirmed cases which is once reached then after that cases will start to
decrease and recovered number will go higher to intersect confirmed cases at a point.
State-wise Comparison
India consist of 28 states and 8 Union Territories with varying features such as
demography, geography, location, lifestyle etc. Which can decide the spread of contagious virus.
Comparing COVID-19 situation in states gives us insight of which state/area is to be focused.
( Fig 4.6 )
As shown above, Maharashtra, Tamil Nadu, Delhi, Gujrat, Uttar Pradesh, Madhya
22. 21
Pradesh are top 6 states in confirmed cases in India. When the cases started to be detected in
India since that time only Maharashtra has been leading this tally. As of 5th June 2020, over
80,000 cases are confirmed in Maharashtra.
( Fig 4.7 )
We can see that more number of COVID-19 clusters are in left half part of the India. In
the North-East region of India ,despite being close to China , there are very less number of
confirmed cases. The possible reason of this variation is discussed later part of this analysis.
23. 22
4.2 R0 FACTOR
The R0 factor also known as Basic Reproduction Number. The R0 factor of an area
denotes how many more persons can be infected due to a person who is having the disease. If
R0 is 1.2 then it means 1 infected person can infect 1.2 person by the same disease. So that 5
people can infect total 6 new persons (1.2*5=6.0).
( Fig 4.8 )
(Image source: https://scroll.in/article/963252/in-india-how-many-people-does-a-covid-
19-patient-infect-on-average)
24. 23
Its is believed that India is having steady R0=1.23 since 25th May which is still higher
than normal. While imposing nation-wide lockdown R0 is considered as one of the factor . If the
R0 values is less than 1 i.e. one infected person can not infect another person then lockdown is to
be lifted. But Lockdown in India is being lifted in steps despite having R0 factor greater than
1. It could lead to drastic results in future.
4.3 DOUBLING RATE
Doubling rate is number of days taken to double the number of confirmed cases in a
particular area. This number should be as large as possible. Large number of doubling rate will
increase the hopes of situation under control.
( Fig 4.9 )
India is showing positive trend in doubling rate but the situation is still a not under the control of
government and administration. This is a thing to worry about.
25. 24
4.4 DEATH RATE
Death rate is calculated by,
100*(number of deaths in a state / number of confirmed cases in a state)
The number obtain after this calculation is the number of deaths behind every 100 confirmed
cases in that state. Higher the number more the area is to be focused.
( Fig 4.10)
Gujrat is having death rate over 6 followed by West Bengal , Madhya Pradesh , Maharashtra ,
Telangana with death rates 5 , 4.2 , 3.5 , 3.4 respectively. Where as whole country’s death rate on
5th June 2020 is 2.78 .All the states/UTs with death rate more than 2.78 are to be taken care of
more intensively.
26. 25
4.5 RECOVERY RATE
Recovery rate is calculated by,
100*(number of recoveries in a state / number of confirmed cases in a state)
The number obtain after this calculation is the number of recovered patients behind every 100
confirmed cases in that state.
( Fig 4.11 )
Chandigarh is having recovery rate close to 90 followed by Punjab, Rajasthan , Gujrat ,Madhya
Pradesh with recovery rates 84, 72, 68, 65 respectively. Where as whole country’s death rate on 5th June
2020 is 47.48.
27. 26
4.6 CLUSTER ANALYSIS
What could be the reasons behind cases clusters found in India.
4.6.1 URBAN POPULATION
As discussed earlier, there are more cases found in western part than the eastern part of
India. We tried to find out some of the reasons that may have caused this situation in India.
India has 2nd most population in the world and places itself at 7th position in the tally of
surface area. So somewhere population is going
to be major factor in spread of such pandemic.
( Fig 4.12 )
Above is the map of India showing urban population in each state.
And Fig 4.7 is the graph showing confirmed covid-19 cases in each state in India . They both
look somewhat similar indicating ‘More urban population causes quick spread of corona virus’.
Top 8 States with highest urban population:
28. 27
Maharashtra ,Uttar Pradesh, Tamil Nadu , West Bengal ,Gujarat, Karnataka ,Madhya Pradesh ,
Rajasthan.
Top 8 States with highest number of COVID-19 cases:
Maharashtra , Tamil Nadu, Delhi ,Gujarat ,Rajasthan , Uttar Pradesh ,Madhya Pradesh ,West
Bengal.
Out of top 8 states 7 states are common in both category. This indicates more urban population in
these states causing higher number of cases.
4.6.2 GDP CONTRIBUTION
India is the world’s 5th largest economy by nominal GDP. All states contributes in GDP
of India.
( Fig 4.13 )
These are the figures of state and its GDP for the financial year 2019-20 in Crores.
Fig 4.7 graph is state and its confirmed COVID-19 cases. These two graphs too look somewhat
29. 28
identical indicating that ‘Public movement , interaction ,contact with each other in activities
which contribute in GDP, causes a favourable environment for the spread of such viruses.’
Top 8 States with highest GDP:
Maharashtra , Tamil Nadu, Gujarat, Karnataka, Uttar Pradesh ,West Bengal , Andhra Pradesh
,Telangana
Top 8 States with highest number of COVID-19 cases:
Maharashtra , Tamil Nadu, Delhi ,Gujarat ,Rajasthan , Uttar Pradesh ,Madhya Pradesh ,West
Bengal.
The comparison above showing out of top 8 states 5 states falls in both of the category, Which
indicates that if more number of businesses running in a state the more will such viruses spread
in that state. Pandemics like COVID-19 hits the economy building factors the most.
30. 29
4.7 LOCKDOWN
Is lockdown in India a successful or not?
Indian government implemented lock down in 4 phases. In comparison with other countries ,
India declared lockdown in its early days of COVID-19 outbreak.
Phase 1: 25th March – 14th April
Phase 2: 15th April – 3rd May
Phase 3: 4th May – 17th May
Phase 4: 18th May – 31st May
Among which phase 1 and 2 of lockdown were very strict whereas phase 3 and phase 4 were
comparatively lenient.
In all 4 phases of lockdown, not a single lockdown showed any down falling of the curve and yet
India has not reached the peak yet.
( Fig 4.14 )
31. 30
In all the phases of lockdown in India , cases graph is showing increasing trend only.
Lockdown was meant to find a peak of cases in India but it failed to do so. When we compare
India’s lockdown phase with other country’s lockdown phases , we see India loosing with great
margin.
As per experts’ analysis we are still very far from a peak which is quite scary. Lockdown in
India did not serve its purpose and caused economic harm as well as non-decreasing cases in
India.
33. 32
5.1 CONCLUSION
● India is now 6th largest confirmed cases of COVID-19 in the world.
● India has not reached the peak yet so as of now we cannot predict the approximate
number of confirmed cases in India.
● Recovery rate of India is also showing exponential behavior same as confirmed
cases. But if cases increase beyond certain point then thing can go out of control
which will affect the recovery rate.
● Gender information of most of the patients is nor released by the government but
whatever data is available shows number of infected males is more than that of
females. This is may be due to more exposure/contact of males with outdoor world.
● Same as gender, age information is unavailable for most of the patients , but
whatever data is available shows age and cases are normally distributed and 21-40
is the age bin which has been infected more.
● This analysis showed that pandemic like this affects economy the most. Whichever
the country’s GDP source is , it gets targeted the most. Slowing down the economy
then unemployment, job losses and then this chain reaction continues.
● India was in lockdown for more than 2 moths but still situation did not get any
better. This may be due to weak administration or the violation of lockdown by
citizens.
34. 33
5.2 FUTURE ENHANCEMENT
1.Prediction Model
India has not reached the peak yet , once it reaches the peak the prediction model can be
built to show that how much time it will take to get things back to the normal.
2.Sentiment Analysis
India has never experience such pandemic in last 100 years so what do people think about
this pandemic, lockdown , government approach/policies etc can be studied to have sentiment
insight of this pandemic.