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Spatiotemporal analysis of mosquito-borne infections and mosquito vectors in mainland Portugal

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dc.contributor.authorMoutinho, Sandra
dc.contributor.authorRocha, Jorge
dc.contributor.authorGomes, Alberto
dc.contributor.authorGomes, Bernardo
dc.contributor.authorRibeiro, Ana Isabel
dc.date.accessioned2025-01-10T14:57:08Z
dc.date.available2025-01-10T14:57:08Z
dc.date.issued2025
dc.description.abstractBackground The incidence of mosquito-borne infections has increased worldwide. Mainland Portugal’s characteristics might favour the (re)emergence of mosquito-borne diseases. This study aimed to characterize the spatial distribution of vectors and notification rates of imported cases of mosquito-borne infections in mainland Portugal and demarcate the areas where these geographies overlap. Methods We used data from imported cases of malaria, dengue and Zika from 2009 to 2019, alongside data on the presence of mosquitoes capable of potentially transmitting these diseases at the municipality level (2009–2018). This data was provided by the National Epidemiological Surveillance System and Regional Health Administrations, based on reports from the Vector Surveillance Network. While the mosquitoes in question do not currently transmit these diseases, they have the potential to do so if there is a significant increase in pathogen circulation. A spatial cluster analysis was performed using the univariate Local Moran Index, the Bivariate Moran Local Index and the MannKendall method. Results We found significant spatial variability in both notification rates of imported mosquito-borne infections and the distribution of competent mosquito species. We identified clusters of simultaneous high concentrations of vectors and imported cases of malaria in Condeixa-a-Nova (Coimbra), Cuba (Beja), Santiago do Cacém (Setúbal), Albufeira and São Brás de Alportel (Faro), most located on the Southern coast of Portugal. For dengue, we detected clusters of simultaneous high concentrations of vectors and imported cases in Paredes, in the Northern region, and Faro, on the southern coast. For Zika, no clusters were identified. Conclusion This study identified areas with high notification rates of imported cases and the presence of competent vectors. Surveillance, control, and awareness efforts are essential, as these areas may present higher risks for local transmission in the future if ecological conditions remain or become suitable, potentially evolving into foci for disease transmission.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMoutinho, S., Rocha, J., Gomes, A., Gomes, B., & Ribeiro, A. I. (2025). Spatiotemporal analysis of mosquito-borne infections and mosquito vectors in mainland Portugal. BMC Infectious Diseases, 25(1), 45. https://doi.org/10.1186/s12879-024-10433-wpt_PT
dc.identifier.doi10.1186/s12879-024-10433-wpt_PT
dc.identifier.issn1471-2334
dc.identifier.urihttp://hdl.handle.net/10400.5/97073
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBMC, Springer Naturept_PT
dc.relationModelação estocástica e espaciotemporal da incidência de doenças transmitidas por vetores em Portugal
dc.relationLaboratory for Integrative and Translational Research in Population Health
dc.relationhealTh RIsk and social vulnerability to Arboviral Diseases in mainland portugal
dc.relation.publisherversionhttps://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-024-10433-wpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectVector-Borne diseasespt_PT
dc.subjectSpatial analysispt_PT
dc.subjectClusterspt_PT
dc.subjectSpatiotemporal distributionpt_PT
dc.titleSpatiotemporal analysis of mosquito-borne infections and mosquito vectors in mainland Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleModelação estocástica e espaciotemporal da incidência de doenças transmitidas por vetores em Portugal
oaire.awardTitleLaboratory for Integrative and Translational Research in Population Health
oaire.awardTitlehealTh RIsk and social vulnerability to Arboviral Diseases in mainland portugal
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_CENTRO/2020.07201.BD/PT
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oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F00295%2F2020/PT
oaire.citation.issue1pt_PT
oaire.citation.startPage45pt_PT
oaire.citation.titleBMC Infectious Diseasespt_PT
oaire.citation.volume25pt_PT
oaire.fundingStreamPOR_CENTRO
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
person.familyNameRocha
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