A prospective cohort study linking migration, climate, and malaria risk in the Peruvian Amazon - CORRIGENDUM.

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10.1017/s0950268824000025

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Gunderson, Annika K, Cristina Recalde-Coronel, Benjamin F Zaitchik, Pablo PeƱataro Yori, Silvia Rengifo Pinedo, Maribel Paredes Olortegui, Margaret Kosek, Joseph M Vinetz, et al. (2024). A prospective cohort study linking migration, climate, and malaria risk in the Peruvian Amazon - CORRIGENDUM. Epidemiology and infection, 152. p. e5. 10.1017/s0950268824000025 Retrieved from https://hdl.handle.net/10161/30132.

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Pan

William Kuang-Yao Pan

Elizabeth Brooks Reid and Whitelaw Reid Associate Professor

William Pan, DrPH, Elizabeth Brooks Reid and Whitelaw Reid Professor of Population Studies and Global Environmental Health, joined the faculty at Duke in 2011. He holds a joint appointment at DGHI and the Nicholas School of Environment, and is Adjunct Professor in the Department of International Health at Johns Hopkins Bloomberg School of Public Health. He is a biostatistician with expertise in spatial analysis, demography land use science, infectious disease epidemiology and environmental health.  He has over 20-years of experience leading large, multi-institutional and interdisciplinary research teams to study the impact of human-environment dynamics influencing human health in low- and middle-income countries (LMICs).  His work is primarily focused in Latin America, particularly the Amazon region.  His current research focuses on: (1) studying the health effects of mercury and other chemical exposures from artisanal and small-scale gold mining (ASGM); (2) developing tools for forecasting vector-borne disease risk, focusing particularly on the integration and modeling of climate, land use, population and malaria surveillance data; (3) studying the role of migration and social network connectivity influencing infectious disease transmission; (4) understanding the risk of lead exposure among hunters and their families, and to identify solutions to mitigate that risk; and (5) evaluating multi-faceted benefits of nature-based solutions related to agroforestry, climate resilience, livelihoods, and disease mitigation.


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