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Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019

dc.contributor.authorAlmeida, Paula Maria Pereira de
dc.contributor.authorCâmara, Daniel Cardoso Portela
dc.contributor.authorNobre, Aline Araújo
dc.contributor.authorAyllón Santiago, Tania
dc.contributor.authorRibeiro, Mário Sérgio
dc.contributor.authorDias, Cristina Maria Giordano
dc.contributor.authorPeixoto, Eduardo Mesquita
dc.contributor.authorRocha, Maíra Mendonça da
dc.contributor.authorCarvalho, Silvia
dc.contributor.authorHonório, Nildimar Alves
dc.date.accessioned2024-04-29T08:10:06Z
dc.date.available2024-04-29T08:10:06Z
dc.date.issued2023-07-01
dc.description.abstractDengue (DENV), chikungunya (CHIKV), and Zika (ZIKV) virus infections are widespread throughout the Rio de Janeiro state. The co-circulation of these emergent arboviruses constitutes a serious public health problem, resulting in outbreaks that can spatially and temporally overlap. Environmental conditions favor the presence, maintenance, and expansion of Aedes aegypti, the primary vector of these urban arboviruses. This study assessed the detection of clusters of urban arboviruses in the Rio de Janeiro state from 2010 to 2019. Notified cases of dengue, chikungunya, and Zika were grouped by year according to the onset of symptoms and their municipality of residence. The study period recorded the highest number of dengue epidemics in the state along with the simultaneous circulation of chikungunya and Zika viruses. The analyzes showed that the central municipalities of the metropolitan regions were associated with higher risk areas. Central municipalities in metropolitan regions were the first most likely clusters for dengue and Zika, and the second most likely cluster for chikungunya. Furthermore, the northwest and north regions were comprised clusters with the highest relative risk for the three arboviruses, underscoring the impact of these arboviruses in less densely populated regions of Brazil. The identification of high-risk areas over time highlights the need for effective control measures, targeted prevention and control interventions for these urban arboviral diseases.
dc.description.departmentDepto. de Genética, Fisiología y Microbiología
dc.description.facultyFac. de Ciencias Biológicas
dc.description.fundingtypeDescuento UCM
dc.description.refereedTRUE
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil)
dc.description.sponsorshipFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (Brasil)
dc.description.sponsorshipInstituto Oswaldo Cruz/Fiocruz (Brasil)
dc.description.statuspub
dc.identifier.citationAlmeida, P.M.P.d.; Câmara, D.C.P.; Nobre, A.A.; Ayllón, T.; Ribeiro, M.S.; Dias, C.M.G.; Peixoto, E.M.; Rocha, M.M.d.; Carvalho, S.; Honório, N.A. Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019. Viruses 2023, 15, 1496. https://doi.org/10.3390/v15071496
dc.identifier.doi10.3390/v15071496
dc.identifier.issn1999-4915
dc.identifier.officialurlhttps://doi.org/10.3390/v15071496
dc.identifier.relatedurlhttps://www.mdpi.com/1999-4915/15/7/1496
dc.identifier.urihttps://hdl.handle.net/20.500.14352/103618
dc.issue.number7
dc.journal.titleViruses
dc.language.isoeng
dc.page.final14
dc.page.initial1
dc.publisherMDPI
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu616.921.5
dc.subject.keywordArbovirus infections
dc.subject.keywordAedes aegypti
dc.subject.keywordRio de Janeiro state
dc.subject.keywordBrazil
dc.subject.keywordSpatio-temporal analysis
dc.subject.ucmEnfermedades infecciosas
dc.subject.unesco3205.05 Enfermedades Infecciosas
dc.titleSpatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses’ Infection in Rio de Janeiro State from 2010 to 2019
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number15
dspace.entity.typePublication
relation.isAuthorOfPublication0f7d7417-a5e6-4dc4-965b-83378dc7079e
relation.isAuthorOfPublication.latestForDiscovery0f7d7417-a5e6-4dc4-965b-83378dc7079e

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