Use of earth observation-derived hydrometeorological variables to model and predict rotavirus infection (MAL-ED): a multisite cohort study

Use of earth observation-derived hydrometeorological variables to model and predict rotavirus infection (MAL-ED): a multisite cohort study

Summary: Background: Climate change threatens to undermine recent progress in reducing global deaths from diarrhoeal disease in children. However, the scarcity of evidence about how individual environmental factors affect transmission of specific pathogens makes prediction of trends under different...

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Bibliographic Details
Main Authors: Josh M Colston, PhD, Benjamin Zaitchik, PhD, Gagandeep Kang, ProfMD, Pablo Peñataro Yori, MPH, Tahmeed Ahmed, PhD, Aldo Lima, PhD, Ali Turab, MD, Esto Mduma, MSc, Prakash Sunder Shrestha, MD, Pascal Bessong, ProfPhD, Roger D Peng, ProfPhD, Robert E Black, ProfMD, Lawrence H Moulton, ProfPhD, Margaret N Kosek, MD
Format: Article
Language:English
Published: Elsevier 2019-06-01
Series:The Lancet Planetary Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2542519619300841

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http://www.sciencedirect.com/science/article/pii/S2542519619300841

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