Fine scale infectious disease modeling using satellite-derived data

Abstract Innovative tools for modeling infectious agents are essential for better understanding disease spread given the inherent complexity of changing and interacting ecological, environmental, and demographic factors. We leveraged fine-scale satellite data on urban areas to build a road-connected...

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Autores principales:	Nistara Randhawa, Hugo Mailhot, Duncan Temple Lang, Beatriz Martínez-López, Kirsten Gilardi, Jonna A. K. Mazet
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/33492377324d4e41884180ad72182cc2
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id	oai:doaj.org-article:33492377324d4e41884180ad72182cc2
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spelling	oai:doaj.org-article:33492377324d4e41884180ad72182cc22021-12-02T17:04:34ZFine scale infectious disease modeling using satellite-derived data10.1038/s41598-021-86124-22045-2322https://doaj.org/article/33492377324d4e41884180ad72182cc22021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86124-2https://doaj.org/toc/2045-2322Abstract Innovative tools for modeling infectious agents are essential for better understanding disease spread given the inherent complexity of changing and interacting ecological, environmental, and demographic factors. We leveraged fine-scale satellite data on urban areas to build a road-connected geospatial network upon which to model disease spread. This model was tested by simulating the spread of the 2009 pandemic influenza in Rwanda and also used to determine the effects of vaccination regimens on outbreak spread and impact. Our results were comparable to data collected during the actual pandemic in Rwanda, determining the initial places affected after outbreak introduction in Kigali. They also highlighted the effectiveness of preventing outbreaks by targeting mitigation efforts at points of outbreak origin. This modeling approach can be valuable for planning and control purposes in real-time disease situations, providing helpful baseline scenarios during initial phases of outbreaks, and can be applied to other infectious diseases where high population mobility promotes rapid disease propagation.Nistara RandhawaHugo MailhotDuncan Temple LangBeatriz Martínez-LópezKirsten GilardiJonna A. K. MazetNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nistara Randhawa Hugo Mailhot Duncan Temple Lang Beatriz Martínez-López Kirsten Gilardi Jonna A. K. Mazet Fine scale infectious disease modeling using satellite-derived data
description	Abstract Innovative tools for modeling infectious agents are essential for better understanding disease spread given the inherent complexity of changing and interacting ecological, environmental, and demographic factors. We leveraged fine-scale satellite data on urban areas to build a road-connected geospatial network upon which to model disease spread. This model was tested by simulating the spread of the 2009 pandemic influenza in Rwanda and also used to determine the effects of vaccination regimens on outbreak spread and impact. Our results were comparable to data collected during the actual pandemic in Rwanda, determining the initial places affected after outbreak introduction in Kigali. They also highlighted the effectiveness of preventing outbreaks by targeting mitigation efforts at points of outbreak origin. This modeling approach can be valuable for planning and control purposes in real-time disease situations, providing helpful baseline scenarios during initial phases of outbreaks, and can be applied to other infectious diseases where high population mobility promotes rapid disease propagation.
format	article
author	Nistara Randhawa Hugo Mailhot Duncan Temple Lang Beatriz Martínez-López Kirsten Gilardi Jonna A. K. Mazet
author_facet	Nistara Randhawa Hugo Mailhot Duncan Temple Lang Beatriz Martínez-López Kirsten Gilardi Jonna A. K. Mazet
author_sort	Nistara Randhawa
title	Fine scale infectious disease modeling using satellite-derived data
title_short	Fine scale infectious disease modeling using satellite-derived data
title_full	Fine scale infectious disease modeling using satellite-derived data
title_fullStr	Fine scale infectious disease modeling using satellite-derived data
title_full_unstemmed	Fine scale infectious disease modeling using satellite-derived data
title_sort	fine scale infectious disease modeling using satellite-derived data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/33492377324d4e41884180ad72182cc2
work_keys_str_mv	AT nistararandhawa finescaleinfectiousdiseasemodelingusingsatellitederiveddata AT hugomailhot finescaleinfectiousdiseasemodelingusingsatellitederiveddata AT duncantemplelang finescaleinfectiousdiseasemodelingusingsatellitederiveddata AT beatrizmartinezlopez finescaleinfectiousdiseasemodelingusingsatellitederiveddata AT kirstengilardi finescaleinfectiousdiseasemodelingusingsatellitederiveddata AT jonnaakmazet finescaleinfectiousdiseasemodelingusingsatellitederiveddata
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Fine scale infectious disease modeling using satellite-derived data

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