Study protocol: improving response to malaria in the Amazon through identification of inter-community networks and human mobility in border regions of Ecuador, Peru and Brazil

dc.contributor.affiliationPontificia Universidad Católica del Perú. Departamento de Ingeniería
dc.contributor.authorJanko, M.M.
dc.contributor.authorAraujo, A.L.
dc.contributor.authorAscencio, E.J.
dc.contributor.authorGuedes, G.R.
dc.contributor.authorVasco, L.E.
dc.contributor.authorSantos, R.O.
dc.contributor.authorDamasceno, C.P.
dc.contributor.authorMedrano, P.G.
dc.contributor.authorChacón-Uscamaita, P.R.
dc.contributor.authorGunderson, A.K.
dc.contributor.authorO’Malley, S.
dc.contributor.authorKansara, P.H.
dc.contributor.authorNarvaez, M.B.
dc.contributor.authorCoombes, C.
dc.contributor.authorPizzitutti, F.
dc.contributor.authorSalmón-Mulanovich, G.
dc.contributor.authorZa
dc.date.accessioned2026-03-13T16:58:34Z
dc.date.issued2024
dc.description.abstractIntroduction Understanding human mobility’s role in malaria transmission is critical to successful control and elimination. However, common approaches to measuring mobility are ill-equipped for remote regions such as the Amazon. This study develops a network survey to quantify the effect of community connectivity and mobility on malaria transmission. Methods We measure community connectivity across the study area using a respondent driven sampling design among key informants who are at least 18 years of age. 45 initial communities will be selected: 10 in Brazil, 10 in Ecuador and 25 in Peru. Participants will be recruited in each initial node and administered a survey to obtain data on each community’s mobility patterns. Survey responses will be ranked and the 2–3 most connected communities will then be selected and surveyed. This process will be repeated for a third round of data collection. Community network matrices will be linked with each country’s malaria surveillance system to test the effects of mobility on disease risk. Ethics and dissemination This study protocol has been approved by the institutional review boards of Duke University (USA), Universidad San Francisco de Quito (Ecuador), Universidad Peruana Cayetano Heredia (Peru) and Universidade Federal Minas Gerais (Brazil). Results will be disseminated in communities by the end of the study.
dc.description.sponsorshipFunding: This work was supported by the US National Institutes of Health (R01 AI51056; WKP, PI) and by a grant from the Duke Climate and Health Initiative (WKP, PI). PRC-U was supported by CONCYTEC through the PROCIENCIA programme under the call entitled 'Science, Technology and Innovation Thesis and Internships' according to the contract PE501081617-2022. AGL, CSC, EJA and PRC-U were sponsored by Emerge, the Emerging Diseases Epidemiology Research Training grant D43 TW007393 awarded by the Fogarty International Center of the US National Institutes of Health.
dc.identifier.doihttps://doi.org/10.1136/bmjopen-2023-078911
dc.identifier.urihttp://hdl.handle.net/20.500.14657/205956
dc.language.isoeng
dc.publisherBMJ Publishing Group
dc.relation.ispartofurn:issn:2044-6055
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourceBMJ Open; Vol. 14, Núm. 4 (2024)
dc.subjectRespondent
dc.subjectMalaria
dc.subjectAmazon rainforest
dc.subjectMedicine
dc.subjectTransmission (telecommunications)
dc.subjectProtocol (science)
dc.subjectData collection
dc.subjectSocioeconomics
dc.subjectEnvironmental health
dc.subjectTelecommunications
dc.subjectEcology
dc.subjectAlternative medicine
dc.subjectSociology
dc.subjectPolitical science
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.03.06
dc.titleStudy protocol: improving response to malaria in the Amazon through identification of inter-community networks and human mobility in border regions of Ecuador, Peru and Brazil
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.type.otherArtículo
dc.type.versionhttps://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/

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