Universidad Peruana Cayetano Heredia

Open-Source 3D Printable GPS Tracker to Characterize the Role of Human Population Movement on Malaria Epidemiology in River Networks: A Proof-of-Concept Study in the Peruvian Amazon

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dc.contributor.author Carrasco Escobar, Gabriel
dc.contributor.author Fornace, K.
dc.contributor.author Wong, D.
dc.contributor.author Padilla-Huamantinco, P.G.
dc.contributor.author Saldaña-Lopez, J.A.
dc.contributor.author Castillo-Meza, O.E.
dc.contributor.author Caballero-Andrade, A.E.
dc.contributor.author Manrique, E.
dc.contributor.author Ruiz Cabrejos, Jorge
dc.contributor.author Barboza, J.L.
dc.contributor.author Rodriguez, H.
dc.contributor.author Henostroza, G.
dc.contributor.author Gamboa Vilela, Dionicia Baziliza
dc.contributor.author Castro, M.C.
dc.contributor.author Vinetz, Joseph Michael
dc.contributor.author Llanos Cuentas, Elmer Alejandro
dc.date.accessioned 2020-12-14T16:06:13Z
dc.date.available 2020-12-14T16:06:13Z
dc.date.issued 2020
dc.identifier.uri https://hdl.handle.net/20.500.12866/8677
dc.description.abstract Human movement affects malaria epidemiology at multiple geographical levels; however, few studies measure the role of human movement in the Amazon Region due to the challenging conditions and cost of movement tracking technologies. We developed an open-source low-cost 3D printable GPS-tracker and used this technology in a cohort study to characterize the role of human population movement in malaria epidemiology in a rural riverine village in the Peruvian Amazon. In this pilot study of 20 participants (mean age = 40 years old), 45,980 GPS coordinates were recorded over 1 month. Characteristic movement patterns were observed relative to the infection status and occupation of the participants. Applying two analytical animal movement ecology methods, utilization distributions (UDs) and integrated step selection functions (iSSF), we showed contrasting environmental selection and space use patterns according to infection status. These data suggested an important role of human movement in the epidemiology of malaria in the Peruvian Amazon due to high connectivity between villages of the same riverine network, suggesting limitations of current community-based control strategies. We additionally demonstrate the utility of this low-cost technology with movement ecology analysis to characterize human movement in resource-poor environments. en_US
dc.language.iso eng
dc.publisher Frontiers Media
dc.relation.ispartofseries Frontiers in 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 malaria en_US
dc.subject human movement en_US
dc.subject movement ecology en_US
dc.subject asymptomatic malaria en_US
dc.subject connectivity en_US
dc.subject network en_US
dc.subject Amazon en_US
dc.subject open-source en_US
dc.title Open-Source 3D Printable GPS Tracker to Characterize the Role of Human Population Movement on Malaria Epidemiology in River Networks: A Proof-of-Concept Study in the Peruvian Amazon en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.3389/fpubh.2020.526468
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.05
dc.relation.issn 2296-2565


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