Accurate and timely data are necessary to develop a comprehensive health picture of a country or municipality. In many places data are gathered, but not analyzed correctly or in a timely fashion, a waste of time and resources and a lost opportunity to answer important questions. To help move data through the pipeline and assist technical staff in ministries of health in low- and middle-income countries to use data to spur action, the Data Impact Program conducts Data Analytics Methods training workshops on data analysis and use. The workshop is tailored toward epidemiologists and surveillance officers working in the central ministry or in subnational government health agencies.
During the workshop, which is presented live and through an online platform, participants learn about the foundations of epidemiology, data presentation, including the creation of visual depictions of data, and how to perform various analyses.
After participating in the workshop participants have stronger visualization and analytic skills for developing robust and accurate annual health reports, enhanced comprehension and monitoring of national health indicators and improved understanding of internal communication of data to senior leadership.
Guide for Analysis of Respiratory Syndromic Surveillance Data to Supplement COVID-19 Surveillance
How to Measure and Interpret COVID-19 Surveillance Indicators
Monitoring Continuity of Essential Health Services During the COVID-19 Pandemic: A Guide for LMIC - English / French / Spanish
Training: Data Analysis for Public Health Practice Online Self-Paced Course - English / French / Spanish
Effective Data Management and Use in the Malawi Health System
Bangladesh
Brazil
Colombia
Ecuador
Ghana
Malawi
Myanmar
Philippines
PNG
Rwanda
Solomons
Sri Lanka
Bloomberg Philanthropies | Data for Health Initiative
The Initiative, supported by Bloomberg Philanthropies is providing technical assistance to 20 low- and middle-income countries worldwide to improve public health data systems. The Data Impact Program, focusing on data use, is one of three Initiative components; the other two components focus on data collection and quality: improving civil registration and vital statistics systems and developing new tools for noncommunicable disease risk factor surveillance. Collaborating institutions in the Initiative are: Vital Strategies, CDC Foundation, U.S. Centers for Disease Control and Prevention, Global Health Advocacy Incubator, the Johns Hopkins Bloomberg School of Public Health, and the World Health Organization.