dc.creatorCuadros, Diego F.
dc.creatorXiao, Yanyu
dc.creatorMukandavire, Zindoga
dc.creatorCorrea-Agudelo, Esteban
dc.creatorHernández, Andrés
dc.creatorKim, Hana
dc.creatorMacKinnon, Neil J.
dc.date.accessioned2020-09-30T17:37:58Z
dc.date.accessioned2022-09-23T18:02:46Z
dc.date.available2020-09-30T17:37:58Z
dc.date.available2022-09-23T18:02:46Z
dc.date.created2020-09-30T17:37:58Z
dc.identifier1353-8292
dc.identifierhttps://doi.org/10.1016/j.healthplace.2020.102404
dc.identifierhttp://hdl.handle.net/20.500.12010/14029
dc.identifierhttps://doi.org/10.1016/j.healthplace.2020.102404
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3493845
dc.description.abstractThe role of geospatial disparities in the dynamics of the COVID-19 pandemic is poorly understood. We developed a spatially-explicit mathematical model to simulate transmission dynamics of COVID-19 disease infection in relation with the uneven distribution of the healthcare capacity in Ohio, U.S. The results showed substantial spatial variation in the spread of the disease, with localized areas showing marked differences in disease attack rates. Higher COVID-19 attack rates experienced in some highly connected and urbanized areas (274 cases per 100,000 people) could substantially impact the critical health care response of these areas regardless of their potentially high healthcare capacity compared to more rural and less connected counterparts (85 cases per 100,000). Accounting for the spatially uneven disease diffusion linked to the geographical distribution of the critical care resources is essential in designing effective prevention and control programmes aimed at reducing the impact of COVID-19 pandemic.
dc.languageeng
dc.publisherHealth and Place
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto Completo)
dc.sourcereponame:Expeditio Repositorio Institucional UJTL
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozano
dc.subjectCOVID-19
dc.subjectSpatially-explicit mathematical mode
dc.titleSpatiotemporal transmission dynamics of the COVID-19 pandemic and its impact on critical healthcare capacity


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