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The Alto Juru\u00e1 basin (Brazil) exhibits one of the largest vivax and falciparum malaria prevalence in the Amazon. The goal of this study was to estimate the contribution of human commutes to malaria persistence in this region, using data from an origin-destination survey.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n Data from an origin-destination survey were used to describe the intensity and motivation for commutations between rural and urban areas in two Alto Juru\u00e1 basin (Brazil) municipalities, M\u00e2ncio Lima and Rodrigues Alves. The relative time-person spent in each locality per household was estimated. A logistic model was developed to estimate the effect of commuting on the probability of contracting malaria for a certain residence zone inhabitant commuting to another zone.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The main results suggest that the assessed population is not very mobile. A total of\n \n \n $$96\\%$$<\/jats:tex-math>\n \n \n 96<\/mml:mn>\n %<\/mml:mo>\n <\/mml:mrow>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n households reported spending over\n \n \n $$90\\%$$<\/jats:tex-math>\n \n \n 90<\/mml:mn>\n %<\/mml:mo>\n <\/mml:mrow>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n of their annual person-hour in areas within the same residence zone. Study and work were the most prevalent commuting motivations, calculated at\n \n \n $$40.5\\%$$<\/jats:tex-math>\n \n \n 40.5<\/mml:mn>\n %<\/mml:mo>\n <\/mml:mrow>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n and\n \n \n $$29.5\\%$$<\/jats:tex-math>\n \n \n 29.5<\/mml:mn>\n %<\/mml:mo>\n <\/mml:mrow>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n respectively. Spending person-hours in urban Rodrigues Alves conferred relative protection to urban M\u00e2ncio Lima residents. The opposite effect was observed for those spending time in rural areas of both municipalities.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n Residence area is a stronger determinant for contracting malaria than commuting zones in the Alto Juru\u00e1 region. As these municipalities are a hotspot for\n Plasmodium<\/jats:italic>\n transmission, understanding the main local human fluxes is essential for planning control strategies, since the probability of contracting malaria is dependent on the transmission intensity of both the origin and the displacement area. The natural conditions for the circulation of certain pathogens, such as\n Plasmodium<\/jats:italic>\n \u00a0spp., combined with the Amazon human mobility pattern indicate the need for disease control perspective changes. Therefore, intersectoral public policies should become the basis for health mitigation actions.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1186\/s12936-020-03474-4","type":"journal-article","created":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T09:03:09Z","timestamp":1605085389000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Measuring the contribution of human mobility to malaria persistence"],"prefix":"10.1186","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7573-1364","authenticated-orcid":false,"given":"Marcelo F. 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