Universidad Peruana Cayetano Heredia

Understanding Weather and Hospital Admissions Patterns to Inform Climate Change Adaptation Strategies in the Healthcare Sector in Uganda

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dc.contributor.author Bishop-Williams, Katherine E.
dc.contributor.author Berrang-Ford, Lea
dc.contributor.author Sargeant, Jan M.
dc.contributor.author Pearl, David L.
dc.contributor.author Lwasa, Shuaib
dc.contributor.author Namanya, Didacus Bambaiha
dc.contributor.author Edge, Victoria L.
dc.contributor.author Cunsolo, Ashlee
dc.contributor.author IHACC Research Team
dc.contributor.author Bwindi Community Hospital
dc.contributor.author Huang, Yi
dc.contributor.author Ford, James
dc.contributor.author Garcia Funegra, Patricia Jannet
dc.contributor.author Harper, Sherilee L.
dc.date.accessioned 2018-11-30T23:41:30Z
dc.date.available 2018-11-30T23:41:30Z
dc.date.issued 2018
dc.identifier.uri https://hdl.handle.net/20.500.12866/4207
dc.description.abstract Background: Season and weather are associated with many health outcomes, which can influence hospital admission rates. We examined associations between hospital admissions (all diagnoses) and local meteorological parameters in Southwestern Uganda, with the aim of supporting hospital planning and preparedness in the context of climate change. Methods: Hospital admissions data and meteorological data were collected from Bwindi Community Hospital and a satellite database of weather conditions, respectively (2011 to 2014). Descriptive statistics were used to describe admission patterns. A mixed-effects Poisson regression model was fitted to investigate associations between hospital admissions and season, precipitation, and temperature. Results: Admission counts were highest for acute respiratory infections, malaria, and acute gastrointestinal illness, which are climate-sensitive diseases. Hospital admissions were 1.16 (95% CI: 1.04, 1.31; p = 0.008) times higher during extreme high temperatures (i.e., >95th percentile) on the day of admission. Hospital admissions association with season depended on year; admissions were higher in the dry season than the rainy season every year, except for 2014. Discussion: Effective adaptation strategy characteristics include being low-cost and quick and practical to implement at local scales. Herein, we illustrate how analyzing hospital data alongside meteorological parameters may inform climate-health planning in low-resource contexts. en_US
dc.language.iso eng
dc.publisher MDPI
dc.relation.ispartofseries International Journal of Environmental Research and Public Health
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject climate change en_US
dc.subject climate change adaptation en_US
dc.subject hospital admissions en_US
dc.subject hospital planning en_US
dc.subject meteorological parameters en_US
dc.subject precipitation en_US
dc.subject season en_US
dc.subject Southwestern Uganda en_US
dc.subject temperature en_US
dc.subject weather en_US
dc.title Understanding Weather and Hospital Admissions Patterns to Inform Climate Change Adaptation Strategies in the Healthcare Sector in Uganda en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.3390/ijerph15112402
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.05
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.05.08
dc.relation.issn 1660-4601


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