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Use of open mobile mapping tool to assess human mobility traceability in rural offline populations with contrasting malaria dynamics

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dc.contributor.author Carrasco Escobar, Gabriel
dc.contributor.author Castro, M.C.
dc.contributor.author Barboza, J.L.
dc.contributor.author Ruiz Cabrejos, Jorge
dc.contributor.author Llanos Cuentas, Elmer Alejandro
dc.contributor.author Vinetz, Joseph Michael
dc.contributor.author Gamboa Vilela, Dionicia Baziliza
dc.date.accessioned 2019-07-04T17:01:24Z
dc.date.available 2019-07-04T17:01:24Z
dc.date.issued 2019
dc.identifier.uri https://hdl.handle.net/20.500.12866/6944
dc.description.abstract Infectious disease dynamics are affected by human mobility more powerfully than previously thought, and thus reliable traceability data are essential. In rural riverine settings, lack of infrastructure and dense tree coverage deter the implementation of cutting-edge technology to collect human mobility data. To overcome this challenge, this study proposed the use of a novel open mobile mapping tool, GeoODK. This study consists of a purposive sampling of 33 participants in six villages with contrasting patterns of malaria transmission that demonstrates a feasible approach to map human mobility. The self-reported traceability data allowed the construction of the first human mobility framework in rural riverine villages in the Peruvian Amazon. The mobility spectrum in these areas resulted in travel profiles ranging from 2 hours to 19 days; and distances between 10 to 167 km. Most Importantly, occupational-related mobility profiles with the highest displacements (in terms of time and distance) were observed in commercial, logging, and hunting activities. These data are consistent with malaria transmission studies in the area that show villages in watersheds with higher human movement are concurrently those with greater malaria risk. The approach we describe represents a potential tool to gather critical information that can facilitate malaria control activities. en_US
dc.language.iso eng
dc.publisher PeerJ
dc.relation.ispartofseries PeerJ
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject adult en_US
dc.subject aged en_US
dc.subject Amazon en_US
dc.subject Article en_US
dc.subject assessment of humans en_US
dc.subject Contact network en_US
dc.subject disease control en_US
dc.subject Epidemics en_US
dc.subject female en_US
dc.subject forest dynamics en_US
dc.subject geographic distribution en_US
dc.subject geographic mapping en_US
dc.subject health survey en_US
dc.subject human en_US
dc.subject human experiment en_US
dc.subject Human mobility en_US
dc.subject Infectious diseases en_US
dc.subject malaria en_US
dc.subject Malaria en_US
dc.subject male en_US
dc.subject mean transit time en_US
dc.subject mobile application en_US
dc.subject morbidity en_US
dc.subject Network en_US
dc.subject normal human en_US
dc.subject physical mobility en_US
dc.subject rural population en_US
dc.subject self report en_US
dc.subject total distance traveled en_US
dc.subject travel en_US
dc.subject walking distance en_US
dc.subject watershed en_US
dc.title Use of open mobile mapping tool to assess human mobility traceability in rural offline populations with contrasting malaria dynamics en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.7717/peerj.6298
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#4.01.00
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.06.03
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.01.04
dc.relation.issn 2167-8359


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