Division of International Epidemiology and Population Studies (DIEPS) conducts research in epidemiology and mathematical modeling of infectious diseases. Primary concentrations include cross-national studies of mortality patterns with special emphasis on influenza-associated disease, malaria and other vector-borne and vaccine-preventable diseases. Outcomes of DIEPS research and other activities include changes in public health policies and practices to decrease disease burdens.
Contact the Division of International Epidemiology and Population Studies (DIEPS)
Clean Cooking ISN | HAPIN | MAL-ED |
Multinational Influenza Seasonal Mortality Study (MISMS)
Fogarty's Division of International Epidemiology and Population Studies (DIEPS) leads the
Multinational Influenza Seasonal Mortality Study (MISMS), an international collaborative effort to analyze national and global mortality patterns associated with influenza virus circulation. Its aims are:
- to describe synchrony in seasonal variations of various causes of mortality associated with influenza mortality patterns, both within and amongst countries, and their association with changes in circulating subtypes of influenza virus, antigenic characteristics, population factors and vaccine coverage
- to explore the seasonal patterns and burden of influenza mortality in tropical countries, and understand the global circulation of influenza viruses
- to develop new methods for estimating mortality impact in tropical countries
- to develop a world map of influenza mortality burden and seasonal patterns
Clean Cooking Implementation Science Network (ISN)
Clean Cooking Implementation Science Network (ISN) is working to advance the science of uptake and scale up of clean cooking technology in the developing world. The Clean Cooking ISN is hosted by Fogarty's
Center for Global Health Studies (CGHS), and is supported by the NIH Common Fund. The Network's members conduct clean cooking research and implementation efforts in countries across Asia, Africa, and Latin America. Funding currently supports four research projects (in Ghana, Cameroon, and India) and the development of a series of case studies of clean cooking scale-up around the world.
Household Air Pollution Investigation Network (HAPIN)
Household Air Pollution Intervention Network (HAPIN) is an international multi-center trial aimed at assessing the impact of a liquefied petroleum gas (LPG) cooking stove and fuel intervention on health. HAPIN Trial centers are located in four countries: Guatemala, India, Peru and Rwanda. The HAPIN Trial was launched in 2017 and will continue at least through 2021. More than 7,200 study participants will help the HAPIN Trial find answers to questions about LPG cookstoves and health. The trial funding and management represents a consortium of NIH Institutes and Centers (NHLBI, NCI, NIEHS, NICHD and Fogarty) and the
Bill and Melinda Gates Foundation.
Malnutrition and Enteric Disease Study (MAL-ED)
The Malnutrition and Enteric Disease Study (MAL-ED) is a multi-site project to investigate the linkages between malnutrition and intestinal infections and their effects on children in the developing world. Fogarty's Division of International Epidemiology and Population Studies (DIEPS) serves as the Scientific Secretariat for this eight-site study located in Brazil, Peru, South Africa, Tanzania, India, Pakistan, Bangladesh and Nepal, and co-administers the study with the
Foundation for NIH (FNIH). The program is funded by a grant of nearly $30 million from the Bill and Melinda Gates Foundation.
Research and Policy for Infectious Disease Dynamics (RAPIDD)
Fogarty's Division of International Epidemiology and Population Studies (DIEPS) manages the Research and Policy for Infectious Disease Dynamics (RAPIDD) program, which aims to improve mathematical modeling of infectious diseases, making it more reliable and relevant to policymakers preparing for or responding to outbreaks. The program has catalyzed the field of infectious disease modeling.
Through workshops, working groups and postdoctoral fellowships designed to address critical challenges, RAPIDD seeks to understand:
- which models and modeling approaches facilitate adequate operational capacity
- how models relate with one another and with data of various quality and scale
- how the needs of decision-makers can be characterized and addressed through modeling
The ultimate goal of RAPIDD is to help improve outbreak control through scientifically sound modeling for forecasting and analysis. Since its establishment in 2008, RAPIDD has published more than 1,000 peer-reviewed papers, which have been cited more than 36,000 times.
Updated January 26, 2018