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  3. Artigo de Periódico
Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/79831
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Campo DCValorIdioma
dc.creatorLuigi Seddapt_BR
dc.creatorAna Paula Pessoa Vilelapt_BR
dc.creatorEric Roberto Guimarães Rocha Aguiarpt_BR
dc.creatorCaio Henrique Pessoa Gasparpt_BR
dc.creatorAndré Nicolau Aquime Gonçalvespt_BR
dc.creatorRoenick Proveti Olmopt_BR
dc.creatorAna Teresa Saraiva Silvapt_BR
dc.creatorLízia de Cássia da Silveirapt_BR
dc.creatorRoenick Proveti Olmopt_BR
dc.creatorAna Teresa Saraiva Silvapt_BR
dc.creatorLízia de Cássia da Silveirapt_BR
dc.creatorÁlvaro Eduardo Eiraspt_BR
dc.creatorBetânia Paiva Drumondpt_BR
dc.creatorErna Geessien Kroonpt_BR
dc.creatorJoão Trindade Marquespt_BR
dc.date.accessioned2025-02-10T19:52:43Z-
dc.date.available2025-02-10T19:52:43Z-
dc.date.issued2018-02-02-
dc.citation.volume11pt_BR
dc.citation.issue79pt_BR
dc.citation.spage1pt_BR
dc.citation.epage14pt_BR
dc.identifier.doiDOI 10.1186/s13071-018-2662-6pt_BR
dc.identifier.issn1756-3305pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/79831-
dc.description.resumoBackground: Dengue is a vector-borne disease caused by the dengue virus (DENV). Despite the crucial role of Aedes mosquitoes in DENV transmission, pure vector indices poorly correlate with human infections. Therefore there is great need for a better understanding of the spatial and temporal scales of DENV transmission between mosquitoes and humans. Here, we have systematically monitored the circulation of DENV in individual Aedes spp. mosquitoes and human patients from Caratinga, a dengue endemic city in the state of Minas Gerais, in Southeast Brazil. From these data, we have developed a novel stochastic point process pattern algorithm to identify the spatial and temporal association between DENV infected mosquitoes and human patients. Methods: The algorithm comprises of: (i) parameterization of the variogram for the incidence of each DENV serotype in mosquitoes; (ii) identification of the spatial and temporal ranges and variances of DENV incidence in mosquitoes in the proximity of humans infected with dengue; and (iii) analysis of the association between a set of environmental variables and DENV incidence in mosquitoes in the proximity of humans infected with dengue using a spatio-temporal additive, geostatistical linear model. Results: DENV serotypes 1 and 3 were the most common virus serotypes detected in both mosquitoes and humans. Using the data on each virus serotype separately, our spatio-temporal analyses indicated that infected humans were located in areas with the highest DENV incidence in mosquitoes, when incidence is calculated within 2.5–3 km and 50 days (credible interval 30–70 days) before onset of symptoms in humans. These measurements are in agreement with expected distances covered by mosquitoes and humans and the time for virus incubation. Finally, DENV incidence in mosquitoes found in the vicinity of infected humans correlated well with the low wind speed, higher air temperature and northerly winds that were more likely to favor vector survival and dispersal in Caratinga. Conclusions: We have proposed a new way of modeling bivariate point pattern on the transmission of arthropodborne pathogens between vector and host when the location of infection in the latter is known. This strategy avoids some of the strong and unrealistic assumptions made by other point-process models. Regarding virus transmission in Caratinga, our model showed a strong and significant association between high DENV incidence in mosquitoes and the onset of symptoms in humans at specific spatial and temporal windows. Together, our results indicate that vector surveillance must be a priority for dengue control. Nevertheless, localized vector control at distances lower than 2.5 km around premises with infected vectors in densely populated areas are not likely to be effective.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICB - DEPARTAMENTO DE BIOQUÍMICA E IMUNOLOGIApt_BR
dc.publisher.departmentICB - DEPARTAMENTO DE MICROBIOLOGIApt_BR
dc.publisher.departmentICB - DEPARTAMENTO DE PARASITOLOGIApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofParasites & Vectorspt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectAedes aegyptipt_BR
dc.subjectAedes albopictuspt_BR
dc.subjectDengue virus serotypes 1 and 3pt_BR
dc.subjectBivariate point-processpt_BR
dc.subjectKrigingpt_BR
dc.subjectGeostatistical additive modelspt_BR
dc.subjectUrban denguept_BR
dc.subject.otherAedes aegyptipt_BR
dc.subject.otherVírus da Denguept_BR
dc.subject.otherDenguept_BR
dc.titleThe spatial and temporal scales of local dengue virus transmission in natural settings: a retrospective analysispt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://parasitesandvectors.biomedcentral.com/articles/10.1186/s13071-018-2662-6#rightslinkpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-9271-6596pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9030-0688pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8143-5756pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-5264-8368pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3849-8591pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3045-0673pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-4049-4055pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-2721-3826pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3457-3320pt_BR
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