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Ensemble forecast and parameter inference of childhood diarrhea in Chobe District, Botswana

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dc.contributor.authorHeaney, Alexandra K.en
dc.contributor.authorAlexander, Kathleen A.en
dc.contributor.authorShaman, Jeffreyen
dc.contributor.departmentFish and Wildlife Conservationen
dc.date.accessioned2020-05-13T19:15:10Zen
dc.date.available2020-05-13T19:15:10Zen
dc.date.issued2020-03en
dc.description.abstractDiarrheal disease is the second largest cause of mortality in children younger than 5, yet our ability to anticipate and prepare for outbreaks remains limited. Here, we develop and test an epidemiological forecast model for childhood diarrheal disease in Chobe District, Botswana. Our prediction system uses a compartmental susceptible-infected-recovered-susceptible (SIRS) model coupled with Bayesian data assimilation to infer relevant epidemiological parameter values and generate retrospective forecasts. Our model inferred two system parameters and accurately simulated weekly observed diarrhea cases from 2007-2017. Accurate retrospective forecasts for diarrhea outbreaks were generated up to six weeks before the predicted peak of the outbreak, and accuracy increased over the progression of the outbreak. Many forecasts generated by our model system were more accurate than predictions made using only historical data trends. Accurate real-time forecasts have the potential to increase local preparedness for coming outbreaks through improved resource allocation and healthcare worker distribution.en
dc.description.notesThis project was made possible by a grant from the National Science Foundation Dynamics of Coupled Natural and Human Systems (Award #1518486, KAA) and by a training grant from National Institutes of Health (T32 ES023770). We would also like to thank the Botswana Ministry of Health, the Chobe District Health Team, Dr. M. Vandewalle, R. Sut-cliffe, L. Nkwalale, M. Heneghan, K. Ramsden, T. Motseothata, S. Vandewalle, C. A. Nichols, and others who contributed importantly to the collection of the health data used in this study.en
dc.description.sponsorshipNational Science Foundation Dynamics of Coupled Natural and Human Systems [1518486]; National Institutes of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [T32 ES023770]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.epidem.2019.100372en
dc.identifier.issn1755-4365en
dc.identifier.other100372en
dc.identifier.pmid31551173en
dc.identifier.urihttp://hdl.handle.net/10919/98246en
dc.identifier.volume30en
dc.language.isoenen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectChildhood diarrheaen
dc.subjectForecastingen
dc.subjectBayesian inferenceen
dc.subjectDynamic modelingen
dc.titleEnsemble forecast and parameter inference of childhood diarrhea in Chobe District, Botswanaen
dc.title.serialEpidemicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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Scholarly Works, Fish and Wildlife Conservation
Destination Area: Global Systems Science (GSS)