The 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.
An expert panel reviewed and evaluated DIEPS, and created the report, Division of International Epidemiology and Population Studies Review 2009 [PDF <1K, 52 pages].
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Contact the Division of International Epidemiology and Population Studies (DIEPS)
MAL-ED | MISMS | RAPIDD
MAL-ED (pronounced "mal-a-dee") is a five-year multi-site project to investigate the linkages between malnutrition and intestinal infections and their effects on children in the developing world. 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.
Roger Glass, M.D., Ph.D., of Fogarty, and Michael Gottlieb, Ph.D., of FNIH, serve as the Co-Principal Investigators in collaboration with other partners, including universities in the United States and foreign institutions.
Multinational Influenza Seasonal Mortality Study (MISMS)
MISMS is an international collaborative effort to analyze national and global mortality patterns associated with influenza virus circulation. Its four specific 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 achieve this goal, new methods for estimating mortality impact in tropical countries need to be developed; and, to develop a world map of influenza mortality burden and seasonal patterns.
Research and Policy for Infectious Disease Dynamics (RAPIDD)
The Research and Policy for Infectious Disease Dynamics (RAPIDD) program aims to improve the state of the art of mathematical modeling of infectious diseases, making it more reliable and relevant to policy makers preparing for or responding to outbreaks. Through an extensive series of workshops, working groups and postdoctoral fellowships designed to address critical challenges, RAPIDD seeks to understand:
- which models and modeling approaches will 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.
Selected Recent RAPIDD Publications
- Day T, Read AF (2016) Does High-Dose Antimicrobial Chemotherapy Prevent the Evolution of Resistance? PLoS Comput Biol 12(1): e1004689.
- Bhatt S, PW Gething, OJ Brady, JP Messina, AW Farlow, C Moyes, J M Drake, J S Brownstein, AG Hoen, O Sankoh, M F Myers, DB George, T Jaenisch, GR Wint, CP Simmons, TW Scott, JJ Farrar, SI Hay 2013. The global distribution and burden of dengue. Nature 496: 504-507.
- Heesterbeek H, RM Anderson, V Andreasen, S Bansal, D DeAngelis, C Dye, KTD Eames, WJ Edmunds, SDW Frost, S Funk, TD Hollingsworth, T House, V Isham, P Klepac, J Lessler, JO Lloyd-Smith, CJE Metcalf, D Mollison, L Pellis, JRC Pulliam, MG Roberts, C Viboud et al.. 2015. Modeling infectious disease dynamics in the complex landscape of global health. Science 347: 1216 (aaa4339: 1-10).
- Lloyd-Smith JO, D George, KM Pepin, VE Pitzer, JRC Pulliam, AP Dobson, PJ Hudson, BT Grenfell 2009. Epidemic dynamics at the human-animal interface. Science 326: 1362-1367.
- Luis AD, DTS Hayman, TJ O’Shea, PM Cryan, AT Gilbert, JRC Pulliam, JN Mills, ME Timonin, CKR Willis, AA Cunningham, AAR Fooks, CE Rupprecht, JLN Wood, CT Webb 2013. A comparison of bats and rodents as reservoirs of zoonotic viruses: Are bats special? Proceedings of the Royal Society B 280: 20122753.
- Pepin K, S Lass, JRC Pulliam, AF Read, JO Lloyd-Smith 2010. Identifying genetic markers of adaptation for surveillance of viral host jumps. Nature Reviews Microbiology 8: 802-813.
- Pitzer VE, C Viboud, L Simonsen, C Steiner, CA Panozzo, WJ Alonso, MA Miller, RI Glass, JW Glasser, UD Parashar, BT Grenfell 2009. Demographic variability, vaccination, and the spatiotemporal dynamics of rotavirus epidemics. Science 325: 290-294.
- Riley S, KO Kwok, KM Wu, DY Ning, BJ Cowling, JT Wu, LM Ho, T Tsang, S V Lo, DK Chu, ES Ma, JS Peiris 2011. Epidemiological characteristics of 2009 (H1N1) pandemic influenza based on paired sera from a longitudinal community cohort study. PLoS Medicine 8: e1000442.
- Shea K, MJ Tildesley, MC Runge, CJ Fonnesbeck, MJ Ferrari 2014. Adaptive management and the value of information: learning via intervention in epidemiology. PLoS Biology 12: e1001970.
- Takahashi S, CJE Metcalf, MJ Ferrari, WJ Moss, SA Truelove, AJ Tatem, BT Grenfell, J Lessler 2015. Reduced vaccination and the risk of measles and other childhood infections post-Ebola Science 347: 1240-1242.
- Wesolowski A, N Eagle, AJ Tatem, DL Smith, AM Noor, RW Snow, CO Buckee 2012.
Quantifying the Impact of Human Mobility on Malaria. Science 338: 267-270.
Updated June 9, 2017