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Archive
Tag: Data analysis
Methodology | The Collective Service
Data Handbook for Risk Communication and Community Engagement (RCCE)
This handbook provides an outline description of the processes involved in the use of data for risk communication and community engagement (RCCE) for COVID-19, and to provide links to useful...
| The Collective Service
Real-time Data for Decision-Makers in Eastern and Southern Africa
In an era where billions of people use social media across the globe, the COVID-19 pandemic brought with it an unprecedented infodemic: abundant misinformation spreading faster, one could argue, than...
Report | HelpAge, The Collective Service, UNICEF
Data for action RCCE for COVID-19 Vaccine Demand in Eastern and Southern Africa
The latest Data 4 Action brief from the Collective Service showcases data on vaccine demand in Eastern and Southern Africa.
Methodology | CASS, UNICEF
CASS Methodology Guide: Analyzing qualitative data
This methodology guide developed by the Social Science Analysis Cell (UNICEF) aims to help field staff to conduct qualitative data analysis.
Website | GeoPoll
Coding Qualitative Data
This article details the process for coding qualitative data.
Tool | WHO Afro
Social and behavioural insights COVID-19 data collection tool for Africa
WHO has developed the “Social and Behavioural Insights COVID-19 Data Collection Tool for Africa” to help WHO Country Offices, NGOs, universities or other groups interested in capturing quantitative and qualitative...
Evaluation, Tool |
Data synthesis: public perceptions of the COVID-19 vaccinations (July 2021)
This analysis is the first of a series of data syntheses from the RCCE Collective Service. It focuses on public perceptions of the COVID-19 vaccinations.
|
Gender Analysis: Prevention and Response to Ebola Virus Disease in the Democratic Republic of Congo
Analysis of the EVD crisis in North Kivu in order to provide information about the different needs, capacities and coping strategies of women, men, girls and boys during the EVD...
|
Perceptions and experiences of the public regarding the COVID-19 pandemic in Nepal: a qualitative study using phenomenological analysis
This study intends to explore the perceptions of people towards COVID-19 and their experiences during the pandemic in Nepal.
| BMC
Using the framework method for the analysis of qualitative data in multi-disciplinary health research
The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients...
Categories
Keywords
Behaviours
Children
Community engagement
Community feedback
COVID-19
Data analysis
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Disease outbreaks
DRC
Ebola
Emergency response
Epidemics
Ethics
FAQ
gender equality
Health workforce
India
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Media
migrants
Misinformation
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pandemics
prevention
Qualitative
Qualitative data
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rapid assessments
research
Research Methodology
risk communication
risk perception
Rumours
social science research
Social Science Tools
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Strengthening capacity
surveys
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technology
Trust
Vaccine hesitancy
vaccines
Vulnerable groups
Youth