The document presents the findings of a study on the perception, knowledge and attitudes towards the COVID-19 vaccine in the Bambili community in Cameroon. It includes an introduction describing the COVID-19 pandemic and vaccine development. The methods section outlines a cross-sectional study of 300 participants assessing perception, knowledge and factors affecting vaccine uptake. The results found most participants had a neutral perception of the vaccine, while 41% had good knowledge and the same percentage had a positive attitude. Common factors influencing vaccine acceptance included health status, advice from doctors and knowledge of side effects.
Clinical Research Centre (CRC) Perak (Hospital Ipoh, Hospital Taiping, Hospital Seri Manjung) has just released their new Network Bulletin. This edition focused on COVID-19 Vaccine Trial and COVID-19 Research Priorities.
Webinar Series on COVID-19 vaccine: Jointly organized by Malaysian Society of Infection Control and Infectious Diseases (MyICID) & Institute for Clinical Research (ICR), NIH
Speaker: Dr. Rizah Mazzuin Razali, the head of Geriatric Unit and Internal Medicine Physician working in Kuala Lumpur Hospital, Ministry of Health Malaysia.
Vaccine safety monitoring is a critical aspect of pharmacovigilance, particularly given the widespread use of vaccines to prevent infectious diseases. Robust surveillance systems are essential to detect and assess any potential adverse events following vaccination. Here are some key pharmacovigilance strategies employed for vaccine safety monitoring:
Passive Surveillance Systems:
Passive surveillance systems rely on healthcare providers, patients, and other stakeholders to voluntarily report adverse events following vaccination. These reports are collected in databases such as the Vaccine Adverse Event Reporting System (VAERS) in the United States or the Vaccine Adverse Event Surveillance System (VAESS) in other countries. While these systems are valuable for signal detection, they may suffer from underreporting and reporting bias.
Active Surveillance Systems:
Active surveillance involves proactively monitoring a defined population for adverse events following vaccination. This can be done through electronic health records (EHRs), claims databases, and other health data sources. The Vaccine Safety Datalink (VSD) in the United States is an example of an active surveillance system that uses large databases to continuously monitor vaccine safety.
Enhanced Surveillance and Cohort Studies:
Enhanced surveillance involves more intensive monitoring of a specific population or group of interest. Cohort studies are prospective studies that follow a group of vaccinated individuals over time to assess vaccine safety. These studies provide more detailed and controlled data compared to passive or active surveillance.
Comparative Effectiveness Research:
Comparative effectiveness research compares the safety of different vaccines or vaccination schedules. By analyzing large datasets, researchers can evaluate the relative risks and benefits of vaccines and identify any safety concerns.
Signal Detection and Analysis:
Data mining and statistical techniques are used to identify potential safety signals from adverse event reports. Signals are further investigated through in-depth analysis to determine if there is a causal relationship between the vaccine and the adverse event.
Causality Assessment:
Similar to general pharmacovigilance, causality assessment methods (such as the Naranjo Algorithm, WHO-UMC System, and Bayesian methods) are used to evaluate the likelihood of a causal relationship between a vaccine and an adverse event.
Risk Communication and Public Awareness:
Effective communication strategies are crucial to ensure that healthcare providers and the public are informed about vaccine safety. This involves providing clear and accurate information about potential risks and benefits.
Clinical Research Centre (CRC) Perak (Hospital Ipoh, Hospital Taiping, Hospital Seri Manjung) has just released their new Network Bulletin. This edition focused on COVID-19 Vaccine Trial and COVID-19 Research Priorities.
Webinar Series on COVID-19 vaccine: Jointly organized by Malaysian Society of Infection Control and Infectious Diseases (MyICID) & Institute for Clinical Research (ICR), NIH
Speaker: Dr. Rizah Mazzuin Razali, the head of Geriatric Unit and Internal Medicine Physician working in Kuala Lumpur Hospital, Ministry of Health Malaysia.
Vaccine safety monitoring is a critical aspect of pharmacovigilance, particularly given the widespread use of vaccines to prevent infectious diseases. Robust surveillance systems are essential to detect and assess any potential adverse events following vaccination. Here are some key pharmacovigilance strategies employed for vaccine safety monitoring:
Passive Surveillance Systems:
Passive surveillance systems rely on healthcare providers, patients, and other stakeholders to voluntarily report adverse events following vaccination. These reports are collected in databases such as the Vaccine Adverse Event Reporting System (VAERS) in the United States or the Vaccine Adverse Event Surveillance System (VAESS) in other countries. While these systems are valuable for signal detection, they may suffer from underreporting and reporting bias.
Active Surveillance Systems:
Active surveillance involves proactively monitoring a defined population for adverse events following vaccination. This can be done through electronic health records (EHRs), claims databases, and other health data sources. The Vaccine Safety Datalink (VSD) in the United States is an example of an active surveillance system that uses large databases to continuously monitor vaccine safety.
Enhanced Surveillance and Cohort Studies:
Enhanced surveillance involves more intensive monitoring of a specific population or group of interest. Cohort studies are prospective studies that follow a group of vaccinated individuals over time to assess vaccine safety. These studies provide more detailed and controlled data compared to passive or active surveillance.
Comparative Effectiveness Research:
Comparative effectiveness research compares the safety of different vaccines or vaccination schedules. By analyzing large datasets, researchers can evaluate the relative risks and benefits of vaccines and identify any safety concerns.
Signal Detection and Analysis:
Data mining and statistical techniques are used to identify potential safety signals from adverse event reports. Signals are further investigated through in-depth analysis to determine if there is a causal relationship between the vaccine and the adverse event.
Causality Assessment:
Similar to general pharmacovigilance, causality assessment methods (such as the Naranjo Algorithm, WHO-UMC System, and Bayesian methods) are used to evaluate the likelihood of a causal relationship between a vaccine and an adverse event.
Risk Communication and Public Awareness:
Effective communication strategies are crucial to ensure that healthcare providers and the public are informed about vaccine safety. This involves providing clear and accurate information about potential risks and benefits.
Knowledge, Attitude and Vaccination Status on Covid 19 among Adults Living in...ijtsrd
Introduction In 2019, the whole World faced with the great challenges in the health due to the epic outbreak of novel Corona virus. World Health Organization WHO declared the Corona virus as the global health emergency on January 30, 2020. The Covid 19 vaccine are widely created for their role in reducing the spread of Covid 19 and reducing the severity and death caused by Covid 19. People’s perception toward vaccine acceptance have fluctuated with the information flow in various social medias and the severity of COVID 19 cases. This study aimed to assess the level of knowledge and attitude about Covid 19 vaccine among the community people. Methods Quantitative approach with descriptive research design was adopted for the present study. Two hundred 200 adults aged 20 60 years from Angarpada and Mahul residence in Khordha District, Odisha were selected purposively. Adults who gave their consent and were present during the data collection period were included in the study. Pregnant woman and the people have systemic diseases were excluded from the study. The tools used to collect the data were 1. Socio demographic questionnaire, 2. Knowledge questionnaire to assess the Covid 19 vaccination and 3. Attitude scale to assess the attitude on Covid 19 vaccine. The data was analysed by using descriptive and inferential statistics. Results Vaccination status of the adults living in the Khordha district shows that 83 of people vaccinated for COVID 19. Level of knowledge on covid19 vaccine shows that more than half of the people 52.5 had poor knowledge. Highest percentage of adults 47.5 had neutral attitude. The mean knowledge score is 10±3.59 and mean attitude score is 92.38±6.54. There was a very weak positive correlation r = 0.176, p = 0.096 found between the knowledge and attitude. Conclusion The study results indicates that most of the community people are having adequate knowledge and having neutral attitude towards the Covid 19 vaccination. It shows that awareness is needed on the importance of vaccination. Dr. B. Gomathi | Sreya De | Sutapa Roy | Sandip Pradhan | Ankit Barla | Sayantani Das "Knowledge, Attitude and Vaccination Status on Covid-19 among Adults Living in Selected Rural Areas of Khurdha District, Odisha" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59985.pdf Paper Url: https://www.ijtsrd.com/medicine/nursing/59985/knowledge-attitude-and-vaccination-status-on-covid19-among-adults-living-in-selected-rural-areas-of-khurdha-district-odisha/dr-b-gomathi
Webinar Series on COVID-19 vaccine: Jointly organized by Malaysian Society of Infection Control and Infectious Diseases (MyICID) & Institute for Clinical Research (ICR), NIH
Speaker: Dr.Benedict Sim Lim Heng is a Consultant Infectious Disease Physician at the Sungai Buloh Hospital, Ministry of Health Malaysia.
Combating Health Misinformation _ BROWN _ Gisondi.pdfMichael Gisondi
This lecture was prepared for Grand Rounds in the Department of Emergency Medicine at Brown University on January 18, 2023. It reviews the impact of health misinformation, strategies to address COVID-19 health misinformation in clinical encouters and online, and recommendations for research on this topic.
These insights draw upon findings from McKinsey’s Consumer Surveys from March 15–22, February 8–12, January 4–11, 2021, and in 2020, November 20, December 6, October 22–26, September 5–7, July 11–14, June 4–8, May 15–18, April 25–27, April 11–13, March 27–29, and March 16–17, 2020 on COVID 19.
Public perception on COVID-19 Vaccine(AstraZeneca) uptake presentation-Simon ...SimonMwaringa
Public Perception on Covid-19 ( AstraZeneca) Uptake at University of Eldoret: a case study at University of Eldoret.
2. Coronaviruses: from Animals to Humans
3. Covid-19: How does it affect you?
4. The pandemic "vaccine" development
5. Vaccine Devpt against SARS-CoV-2
6. How two types of COVID-19 Vaccine Work
7. Key features of the spike protein
8. Testing Vaccines
9. An array of Vaccines
10. Perception
11. Justification
12. Objectives
*General Objectives
*Specific Objectives
13. Research Questions
14. Materials and Methods
15. Demographic Characteristic of Respondents
16. Ratio of Male to Female Willingness for COVID-19 Vaccine
17. Immunization Centre Awareness
18. Vaccine Knowledge from Respondents
19. Public Trust in Government's choice of Vaccine
20. Public Trust in Pharmaceutical Companies
21. Vaccination Status of Respondents
22. Influence of Vaccine Uptake by Religious Leaders
23. Safety Concerns towards COVID-19 Vaccine
24. Conspiracies
25. Do you believe in the Conspiracy Theories
26. Conclusion
27. Recommendation
28. End
ILC webinar: Under the microscope: Comparing countries’ experiences of the CO...ILC- UK
COVID-19 has had devastating effects on health systems and economies across the world and has put the importance of the prevention of ill health throughout the life course into sharp focus– from the importance of better pandemic preparedness to the need to promote the overall health of the population.
This ILC webinar is part of our “Delivering prevention in an ageing world” programme.
The panellists presented their country perspectives on how each of their countries have responded to COVID-19 and what we can learn from the pandemic for the prevention agenda going forward.
A Study to Assess the Knowledge, Attitude and Practice Regarding Prevention o...ijtsrd
Objective To assess the knowledge, attitude and practice toward coronavirus disease COVID 19 Background The World Health Organization declared COVID 19 as a pandemic on the 11th of March 2020 and declared as a global health emergency. Since then, many efforts are being carried out to control the rapid spread of the ongoing COVID 19 epidemic in India. The control measures COVID 19 is affected by their knowledge, attitudes, and practices KAP towards COVID 19. Knowledge attitude and practice of people should be directed towards strict preventive practices in order to prevents the spread of the virus. Materials and Methods The aim of the current electronic cross sectional study is to assess the knowledge, attitude and practice among selected rural community. Structured questionnaire was created in the google forms, the link was generated and distributed among the people though email and other media to participate in the survey. A total 153 subject was enrolled through convenient sampling technique. Collected data was analysed using descriptive statistics including frequency, percentage, mean and standard deviation. Results Majority of participant 91.50 were having the adequate information regarding the covid 19 and most of participants, 52.28 were got the information from multimedia included television, radio and newspaper regarding COVID 19. About 52.28 participants were the aware about the online training program by the government .Among 153 participants, 115 had adequate knowledge, 23 had moderately adequate and 15 had inadequate knowledge. Most 75.16 of the participants had adequate knowledge, in 15.03 moderately adequate and in 9.80 inadequate knowledge found regarding prevention of COVID 19. The mean knowledge score was 15.54 with standard deviation of 2.93. Most of the 102 66.66 had most favourable attitude, 31 20.26 had favourable and 20 13.07 had unfavourable attitude . The mean attitude score was 34.76 with standard deviation of 2.86.Majority of the participants, 129 had good practice, 20 had average practice and 4 had bad practice . Most 84.31 of the participants had good practice, in 13.07 average practice and in 2.61 bad practice found regarding prevention of COVID 19. The mean practice score was 25.2 with standard deviation of 2.56. Lalan Kumar "A Study to Assess the Knowledge, Attitude and Practice Regarding Prevention of Novel Coronavirus (COVID-19): An Electronic Cross-Sectional Survey among Selected Rural Community" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30657.pdf Paper Url :https://www.ijtsrd.com/medicine/nursing/30657/a-study-to-assess-the-knowledge-attitude-and-practice-regarding-prevention-of-novel-coronavirus-covid19-an-electronic-crosssectional-survey-among-selected-rural-community/lalan-kumar
Combating Health Misinformation _ M Gisondi _ Community Memorial Health Syste...Michael Gisondi
Dr. Michael Gisondi from Stanford University lectured on the topic "Combating Health Misinformation" at Community Memorial Health Care. He discussed the impact of health misinformation, provided scripted language to practice when discussed misinformation with patients, encouraged physicians to engage with patients using social media, and recommended several ways that residency training programs can combat health misinformation.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Knowledge, Attitude and Vaccination Status on Covid 19 among Adults Living in...ijtsrd
Introduction In 2019, the whole World faced with the great challenges in the health due to the epic outbreak of novel Corona virus. World Health Organization WHO declared the Corona virus as the global health emergency on January 30, 2020. The Covid 19 vaccine are widely created for their role in reducing the spread of Covid 19 and reducing the severity and death caused by Covid 19. People’s perception toward vaccine acceptance have fluctuated with the information flow in various social medias and the severity of COVID 19 cases. This study aimed to assess the level of knowledge and attitude about Covid 19 vaccine among the community people. Methods Quantitative approach with descriptive research design was adopted for the present study. Two hundred 200 adults aged 20 60 years from Angarpada and Mahul residence in Khordha District, Odisha were selected purposively. Adults who gave their consent and were present during the data collection period were included in the study. Pregnant woman and the people have systemic diseases were excluded from the study. The tools used to collect the data were 1. Socio demographic questionnaire, 2. Knowledge questionnaire to assess the Covid 19 vaccination and 3. Attitude scale to assess the attitude on Covid 19 vaccine. The data was analysed by using descriptive and inferential statistics. Results Vaccination status of the adults living in the Khordha district shows that 83 of people vaccinated for COVID 19. Level of knowledge on covid19 vaccine shows that more than half of the people 52.5 had poor knowledge. Highest percentage of adults 47.5 had neutral attitude. The mean knowledge score is 10±3.59 and mean attitude score is 92.38±6.54. There was a very weak positive correlation r = 0.176, p = 0.096 found between the knowledge and attitude. Conclusion The study results indicates that most of the community people are having adequate knowledge and having neutral attitude towards the Covid 19 vaccination. It shows that awareness is needed on the importance of vaccination. Dr. B. Gomathi | Sreya De | Sutapa Roy | Sandip Pradhan | Ankit Barla | Sayantani Das "Knowledge, Attitude and Vaccination Status on Covid-19 among Adults Living in Selected Rural Areas of Khurdha District, Odisha" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59985.pdf Paper Url: https://www.ijtsrd.com/medicine/nursing/59985/knowledge-attitude-and-vaccination-status-on-covid19-among-adults-living-in-selected-rural-areas-of-khurdha-district-odisha/dr-b-gomathi
Webinar Series on COVID-19 vaccine: Jointly organized by Malaysian Society of Infection Control and Infectious Diseases (MyICID) & Institute for Clinical Research (ICR), NIH
Speaker: Dr.Benedict Sim Lim Heng is a Consultant Infectious Disease Physician at the Sungai Buloh Hospital, Ministry of Health Malaysia.
Combating Health Misinformation _ BROWN _ Gisondi.pdfMichael Gisondi
This lecture was prepared for Grand Rounds in the Department of Emergency Medicine at Brown University on January 18, 2023. It reviews the impact of health misinformation, strategies to address COVID-19 health misinformation in clinical encouters and online, and recommendations for research on this topic.
These insights draw upon findings from McKinsey’s Consumer Surveys from March 15–22, February 8–12, January 4–11, 2021, and in 2020, November 20, December 6, October 22–26, September 5–7, July 11–14, June 4–8, May 15–18, April 25–27, April 11–13, March 27–29, and March 16–17, 2020 on COVID 19.
Public perception on COVID-19 Vaccine(AstraZeneca) uptake presentation-Simon ...SimonMwaringa
Public Perception on Covid-19 ( AstraZeneca) Uptake at University of Eldoret: a case study at University of Eldoret.
2. Coronaviruses: from Animals to Humans
3. Covid-19: How does it affect you?
4. The pandemic "vaccine" development
5. Vaccine Devpt against SARS-CoV-2
6. How two types of COVID-19 Vaccine Work
7. Key features of the spike protein
8. Testing Vaccines
9. An array of Vaccines
10. Perception
11. Justification
12. Objectives
*General Objectives
*Specific Objectives
13. Research Questions
14. Materials and Methods
15. Demographic Characteristic of Respondents
16. Ratio of Male to Female Willingness for COVID-19 Vaccine
17. Immunization Centre Awareness
18. Vaccine Knowledge from Respondents
19. Public Trust in Government's choice of Vaccine
20. Public Trust in Pharmaceutical Companies
21. Vaccination Status of Respondents
22. Influence of Vaccine Uptake by Religious Leaders
23. Safety Concerns towards COVID-19 Vaccine
24. Conspiracies
25. Do you believe in the Conspiracy Theories
26. Conclusion
27. Recommendation
28. End
ILC webinar: Under the microscope: Comparing countries’ experiences of the CO...ILC- UK
COVID-19 has had devastating effects on health systems and economies across the world and has put the importance of the prevention of ill health throughout the life course into sharp focus– from the importance of better pandemic preparedness to the need to promote the overall health of the population.
This ILC webinar is part of our “Delivering prevention in an ageing world” programme.
The panellists presented their country perspectives on how each of their countries have responded to COVID-19 and what we can learn from the pandemic for the prevention agenda going forward.
A Study to Assess the Knowledge, Attitude and Practice Regarding Prevention o...ijtsrd
Objective To assess the knowledge, attitude and practice toward coronavirus disease COVID 19 Background The World Health Organization declared COVID 19 as a pandemic on the 11th of March 2020 and declared as a global health emergency. Since then, many efforts are being carried out to control the rapid spread of the ongoing COVID 19 epidemic in India. The control measures COVID 19 is affected by their knowledge, attitudes, and practices KAP towards COVID 19. Knowledge attitude and practice of people should be directed towards strict preventive practices in order to prevents the spread of the virus. Materials and Methods The aim of the current electronic cross sectional study is to assess the knowledge, attitude and practice among selected rural community. Structured questionnaire was created in the google forms, the link was generated and distributed among the people though email and other media to participate in the survey. A total 153 subject was enrolled through convenient sampling technique. Collected data was analysed using descriptive statistics including frequency, percentage, mean and standard deviation. Results Majority of participant 91.50 were having the adequate information regarding the covid 19 and most of participants, 52.28 were got the information from multimedia included television, radio and newspaper regarding COVID 19. About 52.28 participants were the aware about the online training program by the government .Among 153 participants, 115 had adequate knowledge, 23 had moderately adequate and 15 had inadequate knowledge. Most 75.16 of the participants had adequate knowledge, in 15.03 moderately adequate and in 9.80 inadequate knowledge found regarding prevention of COVID 19. The mean knowledge score was 15.54 with standard deviation of 2.93. Most of the 102 66.66 had most favourable attitude, 31 20.26 had favourable and 20 13.07 had unfavourable attitude . The mean attitude score was 34.76 with standard deviation of 2.86.Majority of the participants, 129 had good practice, 20 had average practice and 4 had bad practice . Most 84.31 of the participants had good practice, in 13.07 average practice and in 2.61 bad practice found regarding prevention of COVID 19. The mean practice score was 25.2 with standard deviation of 2.56. Lalan Kumar "A Study to Assess the Knowledge, Attitude and Practice Regarding Prevention of Novel Coronavirus (COVID-19): An Electronic Cross-Sectional Survey among Selected Rural Community" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30657.pdf Paper Url :https://www.ijtsrd.com/medicine/nursing/30657/a-study-to-assess-the-knowledge-attitude-and-practice-regarding-prevention-of-novel-coronavirus-covid19-an-electronic-crosssectional-survey-among-selected-rural-community/lalan-kumar
Combating Health Misinformation _ M Gisondi _ Community Memorial Health Syste...Michael Gisondi
Dr. Michael Gisondi from Stanford University lectured on the topic "Combating Health Misinformation" at Community Memorial Health Care. He discussed the impact of health misinformation, provided scripted language to practice when discussed misinformation with patients, encouraged physicians to engage with patients using social media, and recommended several ways that residency training programs can combat health misinformation.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
1. REPUBLIQUE DU CAMEROUN
……………………………………………
Paix- Travail- Patrie
……………………………………
UNIVERSITE DU BAMENDA
…………………………………..
FACULTE DES SCIENCES DE LA SANTE
……………………………………...
BAMBILI, BAMENDA
REPUBLIC OF CAMEROON
……………………………………………
Peace- Work- Fatherland
……………………………………
THE UNIVERSITY OF BAMENDA
…………………………………..
FACULTY OF HEALTH SCIENCES
……………………………………...
BAMBILI, BAMENDA
OPTION: COMMUNITY HEALTH
PERCEPTION, KNOWLEDGE AND ATTITUDE OF THE COVID 19 VACCINE IN
THE BAMBILI COMMUNITY
PRESENTED BY
NIBAFU NORALINE PHONJAM (B.Sc in Nursing)
Registration number UBa20HP113
SUPERVISOR
PROF. GERALD NGO TEKE
SEPTEMBER 2022 1
2. PRESENTATION OUTLINE
INTRODUCTION
STATEMENT OF THE PROBLEM
RESEARCH QUESTION
RESEARCH OBJECTIVES
SIGNIFICANCE OF THE STUDY
MATERIALS AND METHODS
RESULTS
DISCUSSIONS
CONCLUSIONS
RECOMMENDATIONS
2
3. INTRODUCTION 1/2
The coronavirus disease (COVID- 19) pandemic is a global health issue that has
serious impact on the international community.
In January 2020, it was declared a global health emergency of international concern
by the World Health Organization (WHO).
The coronavirus pandemic has rapidly spread throughout the world, hampering
economic activities.
COVID-19 primarily affects the respiratory system with a range of symptoms from
mild rhinorrhea to severe respiratory distress syndrome
3
4. INTRODUCTION 2/2
The virus is generally more fatal for the elderly and those with a history of
comorbidities.
Its transmission COVID-19 is reported to occur when infected respiratory droplets are
expelled during close face-to-face contact.
In the early phase of the COVID-19 pandemic, Cameroon was among the top five
countries in sub-Saharan Africa and the first in central Africa in terms of number of
confirmed cases.
Cameroon on Friday, March 6 2020 confirmed the first case of the Coronavirus in the
country and a month after, more than 1000 people have been infected. 4
5. STATEMENT OF THE PROBLEM 1/2
In the early times of the COVID-19 pandemic, the development of an effective vaccine was
a mere hope.
Despite strong evidence that vaccines have proven to be highly effective at preventing both
infection and serious illness from COVID-19, a high percentage of people still express
hesitancy about it.
To achieve the necessary herd immunity to control viral transmission and stop the pandemic,
vaccinating more than 82% of the population is crucial and requires strong acceptance and
low hesitation levels throughout the population.
5
6. STATEMENT OF THE PROBLEM 2/2
• Wide gaps in vaccine coverage between countries could potentially delay global control of the
pandemic.
• The current levels of willingness to accept a COVID-19 vaccine are insufficient to meet the
requirements for herd immunity.
• If vaccination hesitancy for SARSCOV is prevalent, then it is important to identify the
motivational roots (i.e., attitudes or reasons) underlying the reluctance and ways to address
these, hence; the purpose of this study is to assess the perception, knowledge, attitude, of the
COVID -19 vaccine.
6
7. RESEARCH QUESTION
MAIN RESEARCH QUESTION
• What is the knowledge attitude and
acceptance of the COVID- 19 vaccine
among the people of the Bambili
community?
SPECIFIC RESEARCH QUESTIONS
1. How do the people of the Bambili community
perceive the COVID 19 vaccine?
2. What knowledge on COVID 19 vaccine do
the people of Bambili community have?
3. What is the attitude of the Bambili community
towards the COVID-19 vaccine?
4. What are the factors that affect covid vaccine
uptake in the Bambili community?
7
8. RESEARCH OBJECTIVES
MAIN RESEARCH OBJECTIVE
• To investigate the knowledge
Perception and factors affecting
the COVID- 19 vaccine uptake by
the people of Bambili community
SPECIFIC RESEARCH OBJECTIVES
1. To describe the feelings/reactions of the Bambili community
towards COVID-19 vaccine.
2. To Determine the level of knowledge of the people of Bambili
community on COVID -19 vaccine.
3. To determine the attitude of the Bambili community towards the
COVID-19 vaccine.
4. To deduce the factors that affect COVID- 19 vaccine uptake in
the Bambili community.
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9. SIGNIFICANCE OF THE STUDY
This study will help to examine the related factors influencing the willingness to
receive COVID-19 vaccines, which can assist health services in developing
effective interventions to increase the vaccination rate.
This study provides insightful information on educational awareness about
COVID-19 infection and vaccination that can be implemented via an applicable
framework of governmental public health efforts.
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10. MATERIALS AND METHODS 1/3
STUDY DESIGN
The study was a community
based descriptive cross-sectional
study
STUDY PERIOD
This study covered a period of 3 months from
March to July 2022
STUDY AREAAND SETTING
Bambili is a locality of Cameroon, located in Tubah subdivision, Mezam division,
Northwest region.
It is found between latitude 5 degrees north and longitude 10 degrees east. Bambili has an
altitude of about 1558 m above sea level. 5° 59' 0" North, 10° 15' 0" East.
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11. MATERIALS AND METHODS 2/3
STUDY POPULATION
All inhabitants living in the Bambili
community
TARGET POPULATION
Individuals aged 18years and above living
in the Bambili community
INCLUSION CRITERIA
All males and females18 years and
above living in the Bambili and are
willing to participate by signing the
consent form
EXCLUSION CRITERIA
People with impaired memory or cognitive
function such that they could not understand
the question.
Parts with incomplete questionnaire
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12. MATERIALS AND METHODS 3/3
SAMPLING METHOD
A probability sampling technique;
proportionate sampling was used.
The sample size was calculated
using Cochran`s formula as follows
𝑛
𝑍2
𝑝𝑞
𝑑2
SAMPLE SIZE DETERMINATION
STUDY PROCEDURE
Ethical and administrative
procedure
Invitation of participants
Selection of participants
Data collection procedure and tools
DATAANALYSIS AND
INTERPRETATION
Data from questionnaires was
entered into separate templates in
Excel version 10.
The data was exported into
SPSS version 25 for analyses
ETHICAL CONSIDERATIONS
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13. RESULTS
Perception of participants toward covid-19 vaccine
Question Response N %
Covid-19 vaccine may not be effective
Agree 139 46.3%
Undecided 74 24.7%
Disagree 87 29.0%
Covid-19 vaccine is known to have serious side effect
Agree 155 51.7%
Undecided 86 28.7%
Disagree 59 19.7%
Covid-19 vaccine should be given to everyone
Agree 161 53.7%
Undecided 55 18.3%
Disagree 84 28.0%
Vaccine Protects me from getting infected
Agree 202 67.3%
Undecided 54 18.0%
Disagree 44 14.7%
Scary information about Covid-19 vaccine are rampant on social media
Agree 224 74.7%
Undecided 41 13.7%
Disagree 35 11.7%
It will be difficult to get the vaccine in nearby clinics due to high demands
Agree 118 39.3%
Undecided 93 31.0%
Disagree 89 29.7%
Vaccines also protects other people who are vaccinated not
Agree 114 38.0%
Undecided 138 46.0%
Disagree 48 16.0%
After vaccination, I can live a normal life
Agree 147 49.0%
Undecided 125 41.7%
Disagree 28 9.3%
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14. RESULTS
Overall perception of participants
Frequency Percent
Overall Perception
Agree 25 8.3
Neutral 237 79.0
Disagree 38 12.7
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15. RESULTS
Knowledge of participants toward covid-19 vaccine
Frequency Percent
Overall Knowledge
Poor Knowledge 64 21.3
Average Knowledge 113 37.7
Good Knowledge 123 41.0
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16. RESULTS
Association between socio-demographic data and Knowledge
on Covid-19 vaccine
Socio demograhic variables Poor Knowledge Average Knowledge Good Knowledge Chi
Square (χ2)
P
value
Age
18-29years 28(43.8%) 53(46.9%) 49(39.8%) 10.081 .259a
30-39years 26(40.6%) 30(26.5%) 47(38.2%)
40-49years 7(10.9%) 19(16.8%) 23(18.7%)
50-59years 2(3.1% 7(6.2%) 2(1.6%)
>61 1(1.6% 4(3.5%) 2(1.6%)
Gender
Male 41(64.1%) 68(60.2%) 58(47.2%) 6.371
.
041*
Female 23(35.9%) 45(39.8%) 65(52.8%)
Religion
Christianity 56(87.5%) 90(79.6%) (65.0%)
17.826 .007a,*
Islam 2(3.1%) 9(8.0%) (18.7%)
Protestant 6(9.4%) 9(8.0%) (11.4%)
Pegan 0(0.0%) 5(4.4%) 6(4.9%)
Level of Education
Primary 9(14.1%) 15(13.3%) 17(13.8%)
4.354 .360
Secondary 16(25.0%) 43(38.1%) 48(39.0%)
University 39(60.9%) 55(48.7%) 58(47.2%)
Occupation
Teacher 16(25.0%) 23(20.4%) 12(9.8%)
.002* 28.108
Health
professional
15(23.4%) 14(12.4%) 20(16.3%)
Farmer 4(6.2%) 26(23.0%) 29(23.6%)
Religious 2(3.1%) 8(7.1%) 16(13.0%)
Business Man 6(9.4%) 15(13.3%) 22(17.9%)
Other 21(32.8%) 27(23.9%) 24(19.5%)
Single 42(65.6%) 71(62.8%) 58(47.2%)
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17. RESULTS
Attitude of participants toward covid-19 vaccine
Questions Response N %
It is not possible to find an effective vaccine that could protect against the
Covid-19?
Yes 146 48.7%
No 154 51.3%
Do you think you that you can get prevention from Covid-19 by vaccination
Yes 115 38.3%
No 69 23.0%
I don't know 116 38.7%
Do you think that the vaccines available on the market are safe
Yes 89 29.7%
No 124 41.3%
Maybe 87 29.0%
Do you think the vaccine is effective?
Yes 98 32.7%
No 97 32.3%
Maybe 105 35.0%
How much do you care about the vaccine related information
I don't care 52 17.3%
I care about every information
positive or not
215 71.7%
i am indifferent 33 11.0%
Are you willing to get vaccinated?
Yes 123 41.0%
No 177 59.0%
Will you take the vaccine if charged for it in future?
Yes 92 30.7%
No 108 36.0%
Maybe 100 33.3%
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18. RESULTS
Factors affecting Covid-19 vaccine acceptance
20
20
15
30
6
40
10
0 5 10 15 20 25 30 35 40 45
Health Status
Age
Free vaccine or Coverage by health…
Advice of your doctor
Duration of protection provided by…
Kniwledge of the possible side…
Opinion of your friends or family…
percentages
factors
affecting
vaccine
acceptance
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19. CONCLUSION
Overall, majority of the participants 237 (79.0%) had a fair perception,
38 participants representing 12.7% had a negative perception and 25(8.3%)
had a positive perception towards the covid 19 vaccine.
In this study, the level of good knowledge, about the COVID -19 vaccine
was 41.0%, average knowlege 37.7% and poor knowledge 21.3%.
While a percentage of 41.0%, had a positive attitude, towards the
COVID- 19 vaccine.
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20. CONCLUSION
The following were the factors with the highest percentages that affect
COVID-19 vaccine uptake knowledge of the possible side effects,messages
from social media 59%,opinions from family members and friends 58%,were
the highest factors influencing non COVID-19 vaccine acceptance while
number of deaths due ti COVID-19 health status (64%) was the highest factors
that influenced participants decision to take COVID-19 vaccine.
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21. RECOMMENDATIONS
Authorities should fight rumor mongers and limit their negative impact on society,
Proper Education of the media cadre about vaccines will be necessary in order to
involve them in urging people to take the vaccine and reassure public about the
vaccine’s effectiveness and side effects.
Also, misinformation about negative effects of vaccine as well as fake news
concerning COVID -19 from irresponsible parties should be managed with a sanction
by the authorities.
Advocacy should be done in order to lobby stake holders into implementing some health
policies to reduce the risk of non-vaccine uptake
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