We assessed and described in detail how and to what extent, COVID-19 pandemic has affected the neurosurgical training and practice in our regional neurosurgical centre in sub-Saharan Africa.
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.
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 study analyzed the impact of the COVID-19 pandemic on pediatric surgical care at a single center in Bangalore, India. The authors compared data from before the pandemic (September 2019-March 2020) to after (October 2020-April 2021). They found significant declines in both elective and emergency pediatric surgeries performed, as well as outpatient visits. Protocols were established for screening and treating COVID-19 positive patients requiring surgical care. The pandemic disrupted pediatric surgery practices and increased hospital stays. It also reduced emergency case volumes, a concern. Overall, the study shows how the pandemic severely affected pediatric surgical services at this hospital in India.
BJS commission on surgery and perioperative care post covid-19Ahmad Ozair
Background: Coronavirus disease 2019 (COVID-19) was declared a pandemic by the WHO on 11 March 2020 and global surgical practice was compromised. This Commission aimed to document and reflect on the changes seen in the surgical environment during the pandemic, by reviewing colleagues’ experiences and published evidence. Methods: In late 2020, BJS contacted colleagues across the global surgical community and asked them to describe how severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) had affected their practice. In addition to this, the Commission undertook a literature review on the impact of COVID-19 on surgery and perioperative care. A thematic analysis was performed to identify the issues most frequently encountered by the correspondents, as well as the solutions and ideas suggested to address them. Results: BJS received communications for this Commission from leading clinicians and academics across a variety of surgical specialties in every inhabited continent. The responses from all over the world provided insights into multiple facets of surgical practice from a governmental level to individual clinical practice and training. Conclusion: The COVID-19 pandemic has uncovered a variety of problems in healthcare systems, including negative impacts on surgical practice. Global surgical multidisciplinary teams are working collaboratively to address research questions about the future of surgery in the post-COVID-19 era. The COVID-19 pandemic is severely damaging surgical training. The establishment of a multidisciplinary ethics committee should be encouraged at all surgical oncology centres. Innovative leadership and collaboration is vital in the post-COVID-19 era.
Stepping Forward: Urologists' Effort During the COVID-19 Outbreak in SingaporeValentina Corona
Urologists in Singapore played an important role in responding to the COVID-19 outbreak. One quarter of the urology department staff were deployed to screen patients at the National Centre for Infectious Disease. This reduced urology services and impacted training. Lessons learned include maintaining emergency plans, effective administration, senior doctors leading by example, embracing technology, and remembering doctors' role in serving public health during crises.
The COVID-19 pandemic has significantly impacted urology services in northern Italy. In the province of Bergamo in Lombardy, over 50% of urologists are now infected with COVID-19. Urology departments have had to dedicate resources to treating COVID-19 patients, reducing operating capacity and outpatient services. Prioritizing and scheduling cancer surgeries is now difficult given limited resources. The long-term effects of delays in urology treatments are unknown, but could negatively impact patient outcomes.
Telehealth in Urology: A Systematic Review of the Literature.Valentina Corona
This systematic review identified 45 studies evaluating telehealth applications in urology. The studies covered prostate cancer (11 studies), hematuria management (3 studies), urinary stones (6 studies), urinary incontinence (14 studies), urinary tract infections (5 studies), and other conditions (6 studies). The available evidence indicates that telehealth has been successfully used for decision-making in prostate cancer, follow-up care of prostate cancer and urinary incontinence patients, initial diagnosis of hematuria and urinary tract infections, and management of uncomplicated urinary stones. However, more robust data on long-term outcomes, safety, and cost-effectiveness are still needed. The COVID-19 pandemic is likely
The COVID-19 global pandemic has caused huge disruption to health system. These findings aim to highlight the immediate and long-term impact of the COVID-19 breakdown on palliative care services at the national level and the institutional level, and suggest lessons for future outbreaks.
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.
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 study analyzed the impact of the COVID-19 pandemic on pediatric surgical care at a single center in Bangalore, India. The authors compared data from before the pandemic (September 2019-March 2020) to after (October 2020-April 2021). They found significant declines in both elective and emergency pediatric surgeries performed, as well as outpatient visits. Protocols were established for screening and treating COVID-19 positive patients requiring surgical care. The pandemic disrupted pediatric surgery practices and increased hospital stays. It also reduced emergency case volumes, a concern. Overall, the study shows how the pandemic severely affected pediatric surgical services at this hospital in India.
BJS commission on surgery and perioperative care post covid-19Ahmad Ozair
Background: Coronavirus disease 2019 (COVID-19) was declared a pandemic by the WHO on 11 March 2020 and global surgical practice was compromised. This Commission aimed to document and reflect on the changes seen in the surgical environment during the pandemic, by reviewing colleagues’ experiences and published evidence. Methods: In late 2020, BJS contacted colleagues across the global surgical community and asked them to describe how severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) had affected their practice. In addition to this, the Commission undertook a literature review on the impact of COVID-19 on surgery and perioperative care. A thematic analysis was performed to identify the issues most frequently encountered by the correspondents, as well as the solutions and ideas suggested to address them. Results: BJS received communications for this Commission from leading clinicians and academics across a variety of surgical specialties in every inhabited continent. The responses from all over the world provided insights into multiple facets of surgical practice from a governmental level to individual clinical practice and training. Conclusion: The COVID-19 pandemic has uncovered a variety of problems in healthcare systems, including negative impacts on surgical practice. Global surgical multidisciplinary teams are working collaboratively to address research questions about the future of surgery in the post-COVID-19 era. The COVID-19 pandemic is severely damaging surgical training. The establishment of a multidisciplinary ethics committee should be encouraged at all surgical oncology centres. Innovative leadership and collaboration is vital in the post-COVID-19 era.
Stepping Forward: Urologists' Effort During the COVID-19 Outbreak in SingaporeValentina Corona
Urologists in Singapore played an important role in responding to the COVID-19 outbreak. One quarter of the urology department staff were deployed to screen patients at the National Centre for Infectious Disease. This reduced urology services and impacted training. Lessons learned include maintaining emergency plans, effective administration, senior doctors leading by example, embracing technology, and remembering doctors' role in serving public health during crises.
The COVID-19 pandemic has significantly impacted urology services in northern Italy. In the province of Bergamo in Lombardy, over 50% of urologists are now infected with COVID-19. Urology departments have had to dedicate resources to treating COVID-19 patients, reducing operating capacity and outpatient services. Prioritizing and scheduling cancer surgeries is now difficult given limited resources. The long-term effects of delays in urology treatments are unknown, but could negatively impact patient outcomes.
Telehealth in Urology: A Systematic Review of the Literature.Valentina Corona
This systematic review identified 45 studies evaluating telehealth applications in urology. The studies covered prostate cancer (11 studies), hematuria management (3 studies), urinary stones (6 studies), urinary incontinence (14 studies), urinary tract infections (5 studies), and other conditions (6 studies). The available evidence indicates that telehealth has been successfully used for decision-making in prostate cancer, follow-up care of prostate cancer and urinary incontinence patients, initial diagnosis of hematuria and urinary tract infections, and management of uncomplicated urinary stones. However, more robust data on long-term outcomes, safety, and cost-effectiveness are still needed. The COVID-19 pandemic is likely
The COVID-19 global pandemic has caused huge disruption to health system. These findings aim to highlight the immediate and long-term impact of the COVID-19 breakdown on palliative care services at the national level and the institutional level, and suggest lessons for future outbreaks.
Real Time Mask Detection Architecture for COVID PreventionIRJET Journal
The document presents a real-time mask detection architecture using deep learning to help prevent the spread of COVID-19. It describes collecting images of people with and without masks to train a convolutional neural network model. The trained model is then deployed using video streams from CCTV cameras to detect and identify in real-time if individuals are wearing a mask or not wearing a mask to help enforce social distancing and safety measures.
The 2019–20 coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).[4] The outbreak was first identified in Wuhan, Hubei, China, in December 2019, and was recognized as a pandemic by the World Health Organization (WHO) on 11 March 2020.[5] As of 25 March, more than 422,000 cases of COVID-19 have been reported in more than 190 countries and territories, resulting in more than 18,900 deaths and more than 109,000 recoveries.
Knowledge and attitude to human immunodeficiency virus post-exposure prophyla...BRNSSPublicationHubI
This study assessed the knowledge and attitudes of pharmacy, nursing, and medical students regarding HIV post-exposure prophylaxis (PEP) at a university in southeastern Nigeria. A survey was administered to 396 students across various levels. The results found poor overall knowledge of HIV PEP, with only 44.63% of nursing, 38.34% of medical, and 34.11% of pharmacy students demonstrating knowledge. However, attitudes were generally favorable, with over 60% of students from each program expressing positive attitudes toward HIV PEP. The study highlights the need for improved educational programs to enhance students' understanding and awareness of HIV PEP protocols.
The document summarizes the challenges faced by the medical education and training programs at the National Kidney and Transplant Institute (NKTI) during the COVID-19 pandemic. When the pandemic began in March 2020, NKTI realigned operations and staffing to prepare for a rise in COVID-19 patients. This included establishing COVID testing, tents to house patients, and increasing personal protective equipment. The rotations of medical residents and fellows had to be adjusted, with some reassigned to high-risk COVID areas while others supported overwhelmed departments. Training methods also transitioned to virtual platforms. While innovations ensured continuity of patient care and education, the pandemic significantly impacted certain specialties like surgery and pathology due to reductions in cases and operations. Overall,
The document reports on the 2019 novel coronavirus outbreak as of 30 January 2020. It provides an overview of the global situation, with 7818 confirmed cases globally and over 7700 in China. The risk assessment is very high in China, high at the regional level, and high at the global level. It outlines WHO's strategic objectives to limit transmission and minimize social and economic impacts. It also provides technical details on detection methods, surveillance activities, and response recommendations.
Telehealth has played a major role in managing the COVID-19 crisis by enabling social distancing. During the pandemic, telehealth allowed for early diagnosis, remote monitoring of symptoms, and reduced strain on healthcare systems. The crisis demonstrated that telehealth can strengthen healthcare systems by allowing physicians to monitor many patients remotely using technologies like mobile ICU units and AI-powered screening. Going forward, telehealth should be further integrated into mainstream healthcare.
This document provides an overview of artificial intelligence systems that have been developed to automatically detect coronavirus using medical imaging techniques like CT scans and x-rays. It discusses how AI techniques like deep learning and convolutional neural networks can be used to analyze medical images and diagnose COVID-19 infection faster than traditional PCR testing. The document aims to inform researchers about current automatic detection systems and analyze their features to help build better diagnostic tools.
The global emergence of the novel coronavirus disease (COVID-19)
in December, 2019 became a major turning point in the global health system. As at 4th May, 2020, the Republic of South Africa, Egypt and Nigeria had 6 783, 6 465 and 2 558 confirmed cases of COVID-19, respectively. Surprisingly, the number of cases in South Africa has risen to 563 598 cases with 10 621 deaths, and the number of cases in Egypt has increased to 95 666 cases with 5 035 deaths while Nigeria has 46 867 cases with 950 deaths[2]. Many African countries that were not having any reported cases of COVID-19 before now have confirmed cases while some experienced a huge spike in the number of confirmed cases due to SARS Coronavirus 2 (SARS-CoV-2).
Japan was one of the first countries to be hit by COVID-19 and declared a state of emergency by April 2020. Japan’s response to COVID-19 included the imposition of context-specific measures and restrictions based on local need to contain the spread of the disease. Containment measures were enacted under the Act on Special Measures for Pandemic Influenza and New Infectious Diseases Preparedness and Response. Citizens were requested to abide by containment measures that focused on avoiding the 3C’s: Closed spaces with poor ventilation; Crowded places; Close‐contact settings. Health infrastructure, workforce, and supply chain were strengthened, alongside social security interventions including financial support for citizens. Primary health centers were strengthened and were at the forefront of Japan’s COVID-19 response at the local level.
This publication presents the various measures that were put in place from the beginning of the outbreak until December 2020 to control COVID-19 transmission in the country. We aim to update this document as new policies and interventions are operationalized to respond to the outbreak.
COVID-19: Knowledge Base, Attitudes and Practices among Practising Journalist...Premier Publishers
The document discusses a study that examined the knowledge, attitudes, and practices of journalists in Abuja, Nigeria regarding COVID-19. The study utilized the Knowledge, Attitudes, and Practices (KAP) model to assess how journalists' knowledge impacted their attitudes and behaviors related to COVID-19 protocols. The study found that journalists had generally good knowledge of COVID-19, which positively influenced their attitudes. However, their knowledge did not strongly correlate with adopting recommended practices. The study suggests journalists must follow public health protocols to effectively spread COVID-19 information to the public and encourage adherence to containment measures.
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any technological tool
enabling rapid screening of the COVID-19 infection with high accuracy can be crucially helpful to the
healthcare professionals. The main clinical tool currently in use for the diagnosis of COVID-19 is the
Reverse transcription polymerase chain reaction (RT-PCR), which is expensive, less-sensitive and requires
specialized medical personnel. X-ray imaging is an easily accessible tool that can be an excellent alternative
in the COVID-19 diagnosis. This research was taken to investigate the utility of artificial intelligence (AI)
in the rapid and accurate detection of COVID-19 from chest X-ray images
Telemedicine opportunities and development in member statesDr Lendy Spires
This document provides an executive summary of a World Health Organization report on the results of their 2009 global survey on telemedicine. The survey examined the current state of telemedicine services like teleradiology and teledermatology in 114 countries. It also looked at factors facilitating telemedicine development, such as national policies and evaluation processes. Key findings included that teleradiology has the highest rate of established services globally, and about 30% of countries have a national agency to promote telemedicine. The report discusses opportunities and barriers to telemedicine in developing nations and provides recommendations to help more countries adopt these healthcare technologies.
COVID-19 pandemic in Nigeria: Misconception among individuals, impact on anim...BRNSSPublicationHubI
This document discusses the COVID-19 pandemic in Nigeria, focusing on misconceptions among Nigerians, the impact on animals, and the role of mathematical epidemiologists. It notes that during the first wave, many Nigerians believed false claims that the virus only affects the rich, can be cured by alcohol or food, or cannot survive in hot climates. During the second wave, protests and poverty likely contributed to increased spread. The document also discusses how tigers in zoos have tested positive after contact with infected humans, representing a potential danger if the virus spreads to livestock in Nigeria. Finally, it describes how mathematical modeling can help understand disease dynamics and inform response efforts.
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.
The study aimed to investigate into the impact of a National COVID-19 Health contact tracing and monitoring system for Namibia. The study used qualitative methods as a research strategy. Qualitative data was collected
through zoom meeting and a Google form link was distributed to the participants. The findings of the study revealed
that a total of 18 participants responded to the semi-structured questions of which 38.9% represents male while
female 61.1%. The age group between 18–25 response rate were 22.2%, age group between 26–35 response rate were
55.6%, age group between 36–45 response rate were 16.7% and the age group between 46 and above response rate
was 10% represented in green colour to represent participants who fall in the age group between 46 and above
Covid november 8 2020 ce presentation covid and eyes Dr. Sandra Lora Cremers CarolinaClavijo8
The document summarizes research on COVID-19 and its relationship to the eye and ocular surface. It discusses how COVID-19 may potentially enter the eye, eye symptoms observed in COVID-19 patients, and whether conditions like dry eye disease increase the risk of viral entry. It also addresses whether masks can increase dry eye and reviews treatment options for dry eye. The economic burden of dry eye is substantial, costing billions annually in the US.
World Health Organization Coronavirus disease (COVID-19) Situation Report – 140 Fundacion ACCION 13
This document provides a summary of the COVID-19 situation as of June 8, 2020. It highlights a new technical note on medical certification and coding of COVID-19 deaths. It also discusses new funding pledged for vaccines at the Global Vaccine Summit. The document reports global and regional case and death counts. It provides an update on partner coordination activities, including the work of various organizations on areas such as surveillance, contact tracing, risk communication and emergency response.
The coronavirus disease outbreak has proven to be a major health crisis affecting virtually every facets of our lives.
Coronavirus disease is an ongoing pandemic disease. The disease which is caused by a new type of virus, known as severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Many patients hospitalized with COVID-19 will develop muscle
weakness particularly those admitted in intensive care unit (ICU). Studies have shown that muscle weakness is one of the
direct consequences of critical illness. We systematically reviewed literature that quantified changes in muscle strength and it
relationship with COVID- 19 in Intensive care unit in humans.
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.
A Predictive Factor For Short-Term Outcome In Patients With COVID-19: CT Scor...suppubs1pubs1
This study aimed to determine if the extent of lung involvement on CT scans can predict short-term outcomes in COVID-19 patients. The study analyzed 253 COVID-19 patients in China, 63 of whom died in the hospital. Non-survivors were older, more often male, and had more preexisting health conditions compared to survivors. On CT scans, non-survivors had higher lung involvement scores, and were more likely to have findings like bronchial dilation and diffuse opacity. Higher lung involvement scores, lower oxygen levels, bacterial coinfection, and preexisting conditions were associated with higher odds of death based on statistical analysis. The study suggests that thoroughly assessing CT scans together with patient details may help predict outcomes and optimize COVID
Features of Radiation-Induced Thyroid Cancersuppubs1pubs1
A significant part of research on Thyroid Cancer (TC) incidence changes after nuclear disasters concerns mainly the dose effects on this oncopathology, as well as radiation epidemiology. Meanwhile, the features of this disease like gender characteristics of the stages and histological forms of cancer are of particular interest. The incidence and risks of various stages and forms of TC were analyzed in the present study
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Real Time Mask Detection Architecture for COVID PreventionIRJET Journal
The document presents a real-time mask detection architecture using deep learning to help prevent the spread of COVID-19. It describes collecting images of people with and without masks to train a convolutional neural network model. The trained model is then deployed using video streams from CCTV cameras to detect and identify in real-time if individuals are wearing a mask or not wearing a mask to help enforce social distancing and safety measures.
The 2019–20 coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).[4] The outbreak was first identified in Wuhan, Hubei, China, in December 2019, and was recognized as a pandemic by the World Health Organization (WHO) on 11 March 2020.[5] As of 25 March, more than 422,000 cases of COVID-19 have been reported in more than 190 countries and territories, resulting in more than 18,900 deaths and more than 109,000 recoveries.
Knowledge and attitude to human immunodeficiency virus post-exposure prophyla...BRNSSPublicationHubI
This study assessed the knowledge and attitudes of pharmacy, nursing, and medical students regarding HIV post-exposure prophylaxis (PEP) at a university in southeastern Nigeria. A survey was administered to 396 students across various levels. The results found poor overall knowledge of HIV PEP, with only 44.63% of nursing, 38.34% of medical, and 34.11% of pharmacy students demonstrating knowledge. However, attitudes were generally favorable, with over 60% of students from each program expressing positive attitudes toward HIV PEP. The study highlights the need for improved educational programs to enhance students' understanding and awareness of HIV PEP protocols.
The document summarizes the challenges faced by the medical education and training programs at the National Kidney and Transplant Institute (NKTI) during the COVID-19 pandemic. When the pandemic began in March 2020, NKTI realigned operations and staffing to prepare for a rise in COVID-19 patients. This included establishing COVID testing, tents to house patients, and increasing personal protective equipment. The rotations of medical residents and fellows had to be adjusted, with some reassigned to high-risk COVID areas while others supported overwhelmed departments. Training methods also transitioned to virtual platforms. While innovations ensured continuity of patient care and education, the pandemic significantly impacted certain specialties like surgery and pathology due to reductions in cases and operations. Overall,
The document reports on the 2019 novel coronavirus outbreak as of 30 January 2020. It provides an overview of the global situation, with 7818 confirmed cases globally and over 7700 in China. The risk assessment is very high in China, high at the regional level, and high at the global level. It outlines WHO's strategic objectives to limit transmission and minimize social and economic impacts. It also provides technical details on detection methods, surveillance activities, and response recommendations.
Telehealth has played a major role in managing the COVID-19 crisis by enabling social distancing. During the pandemic, telehealth allowed for early diagnosis, remote monitoring of symptoms, and reduced strain on healthcare systems. The crisis demonstrated that telehealth can strengthen healthcare systems by allowing physicians to monitor many patients remotely using technologies like mobile ICU units and AI-powered screening. Going forward, telehealth should be further integrated into mainstream healthcare.
This document provides an overview of artificial intelligence systems that have been developed to automatically detect coronavirus using medical imaging techniques like CT scans and x-rays. It discusses how AI techniques like deep learning and convolutional neural networks can be used to analyze medical images and diagnose COVID-19 infection faster than traditional PCR testing. The document aims to inform researchers about current automatic detection systems and analyze their features to help build better diagnostic tools.
The global emergence of the novel coronavirus disease (COVID-19)
in December, 2019 became a major turning point in the global health system. As at 4th May, 2020, the Republic of South Africa, Egypt and Nigeria had 6 783, 6 465 and 2 558 confirmed cases of COVID-19, respectively. Surprisingly, the number of cases in South Africa has risen to 563 598 cases with 10 621 deaths, and the number of cases in Egypt has increased to 95 666 cases with 5 035 deaths while Nigeria has 46 867 cases with 950 deaths[2]. Many African countries that were not having any reported cases of COVID-19 before now have confirmed cases while some experienced a huge spike in the number of confirmed cases due to SARS Coronavirus 2 (SARS-CoV-2).
Japan was one of the first countries to be hit by COVID-19 and declared a state of emergency by April 2020. Japan’s response to COVID-19 included the imposition of context-specific measures and restrictions based on local need to contain the spread of the disease. Containment measures were enacted under the Act on Special Measures for Pandemic Influenza and New Infectious Diseases Preparedness and Response. Citizens were requested to abide by containment measures that focused on avoiding the 3C’s: Closed spaces with poor ventilation; Crowded places; Close‐contact settings. Health infrastructure, workforce, and supply chain were strengthened, alongside social security interventions including financial support for citizens. Primary health centers were strengthened and were at the forefront of Japan’s COVID-19 response at the local level.
This publication presents the various measures that were put in place from the beginning of the outbreak until December 2020 to control COVID-19 transmission in the country. We aim to update this document as new policies and interventions are operationalized to respond to the outbreak.
COVID-19: Knowledge Base, Attitudes and Practices among Practising Journalist...Premier Publishers
The document discusses a study that examined the knowledge, attitudes, and practices of journalists in Abuja, Nigeria regarding COVID-19. The study utilized the Knowledge, Attitudes, and Practices (KAP) model to assess how journalists' knowledge impacted their attitudes and behaviors related to COVID-19 protocols. The study found that journalists had generally good knowledge of COVID-19, which positively influenced their attitudes. However, their knowledge did not strongly correlate with adopting recommended practices. The study suggests journalists must follow public health protocols to effectively spread COVID-19 information to the public and encourage adherence to containment measures.
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any technological tool
enabling rapid screening of the COVID-19 infection with high accuracy can be crucially helpful to the
healthcare professionals. The main clinical tool currently in use for the diagnosis of COVID-19 is the
Reverse transcription polymerase chain reaction (RT-PCR), which is expensive, less-sensitive and requires
specialized medical personnel. X-ray imaging is an easily accessible tool that can be an excellent alternative
in the COVID-19 diagnosis. This research was taken to investigate the utility of artificial intelligence (AI)
in the rapid and accurate detection of COVID-19 from chest X-ray images
Telemedicine opportunities and development in member statesDr Lendy Spires
This document provides an executive summary of a World Health Organization report on the results of their 2009 global survey on telemedicine. The survey examined the current state of telemedicine services like teleradiology and teledermatology in 114 countries. It also looked at factors facilitating telemedicine development, such as national policies and evaluation processes. Key findings included that teleradiology has the highest rate of established services globally, and about 30% of countries have a national agency to promote telemedicine. The report discusses opportunities and barriers to telemedicine in developing nations and provides recommendations to help more countries adopt these healthcare technologies.
COVID-19 pandemic in Nigeria: Misconception among individuals, impact on anim...BRNSSPublicationHubI
This document discusses the COVID-19 pandemic in Nigeria, focusing on misconceptions among Nigerians, the impact on animals, and the role of mathematical epidemiologists. It notes that during the first wave, many Nigerians believed false claims that the virus only affects the rich, can be cured by alcohol or food, or cannot survive in hot climates. During the second wave, protests and poverty likely contributed to increased spread. The document also discusses how tigers in zoos have tested positive after contact with infected humans, representing a potential danger if the virus spreads to livestock in Nigeria. Finally, it describes how mathematical modeling can help understand disease dynamics and inform response efforts.
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.
The study aimed to investigate into the impact of a National COVID-19 Health contact tracing and monitoring system for Namibia. The study used qualitative methods as a research strategy. Qualitative data was collected
through zoom meeting and a Google form link was distributed to the participants. The findings of the study revealed
that a total of 18 participants responded to the semi-structured questions of which 38.9% represents male while
female 61.1%. The age group between 18–25 response rate were 22.2%, age group between 26–35 response rate were
55.6%, age group between 36–45 response rate were 16.7% and the age group between 46 and above response rate
was 10% represented in green colour to represent participants who fall in the age group between 46 and above
Covid november 8 2020 ce presentation covid and eyes Dr. Sandra Lora Cremers CarolinaClavijo8
The document summarizes research on COVID-19 and its relationship to the eye and ocular surface. It discusses how COVID-19 may potentially enter the eye, eye symptoms observed in COVID-19 patients, and whether conditions like dry eye disease increase the risk of viral entry. It also addresses whether masks can increase dry eye and reviews treatment options for dry eye. The economic burden of dry eye is substantial, costing billions annually in the US.
World Health Organization Coronavirus disease (COVID-19) Situation Report – 140 Fundacion ACCION 13
This document provides a summary of the COVID-19 situation as of June 8, 2020. It highlights a new technical note on medical certification and coding of COVID-19 deaths. It also discusses new funding pledged for vaccines at the Global Vaccine Summit. The document reports global and regional case and death counts. It provides an update on partner coordination activities, including the work of various organizations on areas such as surveillance, contact tracing, risk communication and emergency response.
The coronavirus disease outbreak has proven to be a major health crisis affecting virtually every facets of our lives.
Coronavirus disease is an ongoing pandemic disease. The disease which is caused by a new type of virus, known as severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Many patients hospitalized with COVID-19 will develop muscle
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Volume 3 | Issue 7
4. Materials and Method
Relevant data for this study was extracted from out-patient clinic,
elective and emergency operation registers, departmental post-
graduate coordinator and secretary and departmental WhatsApp
group for the schedules of online video conferencing and discus-
sions.
5. Results
5.1. Impact On Outpatient Clinic Workflow
Out-patient clinic visit’s register was retrospectively analysed, an
average of 40-50 patients with various neurosurgical conditions
were seen on weekly basis, six months before COVID-19 pandem-
ic was declared. The clinic was closed by the hospital authority
for a period of four months (April to July). Fewer patients (15
to 20) visited the clinic after re-opening of out-patient clinic for
the first two months and the number has currently returned to pre-
COVID-19 period.
The distribution of neurosurgical conditions seen in outpatient
clinic includes: paediatric neurosurgery, neuro-oncology, neu-
rotrauma, central nervous system infections and degenerative
spine diseases. The pattern of cases consulted did not change be-
fore or during COVID-19 pandemic. After re-opening of the clin-
ic, infection prevention and control measures were imposed, wear-
ing face mask made compulsory, consulting rooms were organised
to ensure physical distancing between Doctors and the patients.
Hand washing gadgets made available at the entrance gate of the
neurosurgical centre. Tele health and video clinic were suggested
but not done due reasons such as, poor network in rural areas (most
of our patients reside) and lack of mobile phones.
5.2. Impact On Elective Surgery
Elective surgeries were cancelled during lock down period (April
to July 2020). An average of 64 to 80 elective surgical operations
cases could not be done during COVID019 lockdown, even after
the lockdown was relaxed, fear remains in many Doctors and other
health workers involve in managing neurosurgical patients. At the
time of writing this article, the elective surgery list has returned to
a near normal pattern.
5.3. Impact On Neurosurgical Emergencies
Though, there was cancellation of outpatient clinic visits and ad-
mission of elective cases, admission of emergency neurosurgical
conditions continues as usual via trauma centre and accident and
emergency departments of the hospital. Emergency neurosurgical
operations were offered unabated during or after lockdown was
eased. Comparison between year before and a year into COVID-19
reveals no significant difference in the frequency of emergency
neurosurgical operations done in our centre (Figure 3).
Figure 1: Average distribution of patient’s clinic visits before and during
COVID-19
Figure 2: Average number of emergency neurosurgical procedures done
before and during COVID-19 pandemic
Figure 3: Hand washing gadgets for patients at the entry gate of Neuro-
surgery centre.
5.4. Impact On Ward Rounds
in order to prevent patients and health workers from contracting
corona virus 19 disease, three wards in the neurosurgical centre
collapsed to one. Infection prevention and control measures were
provided and enforced on all patients and health workers. Doctors
duty rescheduled to minimise contacts and discussion of cases be-
ing done online via departmental WhatsApp group.
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Volume 3 | Issue 7
Table 1: Distribution of Emergency neurosurgical conditions operated
during COVID-19 pandemic
Neurosurgical condition Frequency Percentage
Penetrating Head injury 28 24.77
Chronic subdural haematoma 18 15.92
Depressed skull fracture 15 13.27
Epidural haematoma 19 16.81
Acute subdural haematoma 4 3.53
Brain abscess 4 3.53
Shunt infection 2 1.76
Ruptured myelomeningocele 1 0.88
Ruptured occipital encephalocele 1 0.88
hydrocephalus 19 16.81
Spontaneous intraventricular haemorrhage 1 0.88
Pott’s puffy tumor 1 0.88
Total 113 100
5.5. Impact On Neurosurgical Education
Postgraduate seminar presentation, journal club meeting and fel-
lowship dissertation defense were made online via zoom video
conferencing. Also, residents and consultants join international
seminar presentation via zoom. Virtual attendance of highly edu-
cative international discussions of neurosurgical cases was made
easy via zoom meeting in COVID-19 pandemic. The postgrad-
uate trainees have benefited immensely from both local and in-
ternational academic zoom meeting organized particularly by the
WFNS. To buttress the fact that our trainee benefited a lot from
international meetings, two of our trainees passed final fellowship
examination of west African college of surgeons in October, 2020.
5.6. Impact On Research
There is obvious reduction in patients turn over and surgeries
during COVID-19 pandemic. As such researches involving phys-
ical contacts with patients decreased significantly, our centre
is currently participating in ongoing Global NeuroSurg 1 Study
(GNS-1) on Traumatic brain injuries. Enrolment of our centre was
possible, because we see a lot of patients coming with traumatic
brain injury despite the pandemic, due to ease of lockdown, use of
motorcycles in the sub-region, poor roads infrastructure and refus-
als to abide by traffic rules.
6. Discussion
This paper describes how COVID-19 pandemic has affected the
activities of the regional centre for neurosurgery in our sub-re-
gion. The report gives detailed description of the changes that is
occurring during COVID-19 pandemic, in terms of neurosurgery
services and education. Outpatient clinic visits was cancelled for
four months in order to curb the spread of corona virus disease
as well as channelled resources to curtail the pandemic. The re-
gional neurosurgery centre is the only fully accredited centre in
North west and east part of Nigeria, with an estimated population
of about 80 million population. In addition, the centre receives
patients with neurosurgical conditions from neighbouring Niger
and Benin republics. An estimated 1,600 patients with various
neurosurgical conditions have lost the opportunity of prompt and
adequate neurosurgical care in sub-Saharan African countries, due
to pandemic. Even when the outpatient clinic was reopened, there
was overwhelming COVID-19 fear amongst patients and health-
care workers, thereby yielding low turnout of patients in the cen-
tre. The extent of damage resulting from the aforementioned pe-
riod is unquantifiable. Consequently, many elective neurosurgical
operations were cancelled. Luckily, emergency neurosurgery went
on unstopped as before the pandemic. Emergency neurosurgical
operations were slightly higher than the year before COVID-19
pandemic. Most of our emergency admissions and surgery were
traumatic brain injuries, this is due to use of motorcycles as the
most common means of transport, bad roads, absence of effective
local lockdown and refusal of majority of citizens to abide by the
traffic rules. Also, some cases that are ideally elective might be
converted to emergency because of cancellation of electives and
closure of outpatient clinic.
Neurosurgical education has also been affected by COVID-19
pandemic, usual postgraduate seminar presentations and journal
clubs were changed to online video conferencing. International
online academic presentation attendance via zoom becomes easy
and our trainees have been educated a lot by the highly informative
presentations. Despite COVID-19 our centre was able to enrolled
into Global Neuro Surg study 1 (GNS-1) on traumatic brain injury
and assess the impact of the current pandemic on neurosurgical
care and training as in the present study.
As in other part of the world, outpatient clinics and elective sur-
geries were cancelled and postponed [5,6]. But unlike in some
tertiary neurosurgical centres in developed countries, telemedicine
was practiced to reach neurosurgical patients who could not be
seen because of the COVID-19 pandemic [6]. In our setting, most
patients reside in rural areas with very poor mobile networks, in
addition to overwhelming engagements of Doctors in ensuring co-
rona virus disease does not bring down the unstable heath system
in the region.
7. Conclusion
The index study has demonstrated how and to what extent COVI-
19 pandemic impacted on neurosurgical education and services.
Details of each of the sections of neurosurgery care affected by the
pandemic has been highlighted. Elective surgeries, outpatient clin-
ics and training were negatively affected as against neurosurgical
emergencies that increased during the pandemic.
References
1. Mahmud MR, Beverly C, Ignatius N.E, Kazadi K, Samuila S, Aar-
on M, et al. The Impact of COVID-19 on Neurosurgical Services in
Africa. World Neurosurg. 2021; 146: e747-e754.
2. Ahmad A S, Suleiman A, Usman AA, Sulieman AS. Estimation of
the case fatality rate of COVID-19 epidemiological data in Nigeria
using statistical regression analysis. Biosaf Health. 2020; 3: 4-7.
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Volume 3 | Issue 7
3. Walter CJ, Natasha TI, Kenneth DS, Daniel RF, Hasan RS. The im-
pact of COVID-19 on neurosurgeons and the strategy for triaging
non-emergent operations: a global neurosurgery study. Acta Neuro-
chir (Wien). 2020; 162: 1229-1240.
4. Park KB, Johnson WD, Demsey RJ. Global neurosurgery: the unmet
need. World Neurosurg. 2016; 88: 32-35
5. Lesheng W, Keyao Z, Jincao Chen. Letter: The impact of COVID-19
on the Neurosurgery Department During and after the Lockdown of
Wuhan. Neurosurgery open. 2021; 2.
6. Adham MA, Adrian EJ, Ryan PL, Jon D W, Nicholas T, Alan RC,
et al. Impact of COVID-19 on an Academic Neurosurgery Depart-
ment: The Johns Hopkins Experience. World Neurosurg. 2020; 139:
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