Data-Driven Decision Making for Malaria Programs in Myanmar
Myanmar, Asia
- Disease Surveillance
- Epidemiology
- Genetics & Genomics
- *Global Health Security
- Health Policy & Management
- *Infectious Diseases
- Population & Family Health
- Vector-borne Diseases
- Workforce Development
Understanding how mosquitos interact with a specific intervention is vital when optimizing local and country-wide malaria control and elimination strategies. A baseline comprehension of entomological, epidemiological, as well as other drivers of disease transmission allows us to both recognize what specific strategies would be most effective as well as evaluate the strategy post implementation. We have developed and are piloting a decision-tree based framework for ministries of health (and other implementation partners) enabling the collection of a minimal set of informative entomological data factoring in limited capacity and resources, towards strategic decision making. This entomological surveillance-planning tool is being piloted in 6 countries, with data coming in from 4 countries at present. These data allow for the understanding of local transmission dynamics and how an intervention may function within it. Consequently, this also allows for evidence based decision making as well as an evaluation of the strategy.
Researchers
Partners
- Centers for Disease Control and Prevention, Atlanta
- Clinton Health Access Initiative
- International Centre for Diarrheal Disease Research, Bangladesh (ICDDR,B)
- Ministry of Health – Myanmar
- United States Agency for International Development (USAID)
- University of California, San Francisco