pgph.0000869.s001.doc (941.15 kB)
Sensitivity analysis using confirmed and suspected cholera cases.
journal contribution
posted on 2022-12-14, 18:27 authored by Gina E. C. Charnley, Sebastian Yennan, Chinwe Ochu, Ilan Kelman, Katy A. M. Gaythorpe, Kris A. MurrayThe analysis includes R calculations, variable importance and model fitting for the full dataset.
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machine learning approachsecond highest numberenvironmental risk factorscholera outbreak risksanitation lessened vulnerabilitydecreasing poverty reducedcholera cases missednigeria cholera casespotential numberenvironmental extremescholera incidencecholera globallytherefore addsustainable developmentreducing povertypotential importancenumerous socioeconomicmonthly conflictsmain limitationlight systemlight scenariosless investigatedincreasing accessimprove healthhealthcare ).extreme eventsexisting vulnerabilitiesdisaster prevention
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