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Dengue, Chikungunya, and Zika: Spatial and Temporal Distribution in Rio de Janeiro State, 2015–2019

dc.contributor.authorPereira de Almeida, Paula María
dc.contributor.authorAraújo Nobre, Aline
dc.contributor.authorCâmara, Daniel Cardoso Portela
dc.contributor.authorCosta, Luciana Moura Martins
dc.contributor.authorReis, Izabel Cristina dos
dc.contributor.authorRibeiro, Mário Sérgio
dc.contributor.authorGiordano Dias, Cristina Maria
dc.contributor.authorAyllón Santiago, Tania
dc.contributor.authorHonório, Nildimar Alves
dc.date.accessioned2024-02-27T15:21:55Z
dc.date.available2024-02-27T15:21:55Z
dc.date.issued2022
dc.description.abstractSimultaneous spatial circulation of urban arboviral diseases, such as dengue, chikungunya, and Zika, is a major challenge. In this ecological study of urban arboviruses performed from 2015 to 2019, we analyzed the spatial and temporal dynamics of these arboviruses in all 92 municipalities and nine health regions of Rio de Janeiro state. Annual cumulative incidences are presented for all three arboviruses throughout the study period. Spatial analyses of the three studied arboviruses showed distinct behaviors among municipalities and health regions. Co-circulation of the three arboviruses in the state and a heterogeneous spatiotemporal pattern was observed for each disease and region, with dengue having a higher annual incidence during the five years of the study, as well as two consecutive epidemic years in the state. The increase in transmission in different regions of the state in one year culminated in an epidemic in the state in the following year. A high annual cumulative incidence of chikungunya occurred in municipalities from 2017 to 2019 and of Zika only in 2016. Some municipalities with higher population densities showed higher incidences for some arboviruses and appeared to contribute to the dissemination to cities of lower demographic density and maintenance of these urban arboviruses. Thus, regions recording increased incidences of the three diseases in their territories for long periods should be considered municipal poles, as they initiated and sustained high transmission within their region.
dc.description.departmentDepto. de Genética, Fisiología y Microbiología
dc.description.facultyFac. de Ciencias Biológicas
dc.description.refereedTRUE
dc.description.sponsorshipBrazilian Federal Agency for Support and Evaluation of Graduate Education
dc.description.sponsorshipFundation Carlos Chagas Filho de Amparo (Rio de Janeiro, Brazil)
dc.description.sponsorshipInstituto Oswaldo Cruz (Brazil)
dc.description.statuspub
dc.identifier.citationde Almeida, P.M.P.; Nobre, A.A.; Câmara, D.C.P.; Costa, L.M.M.; dos Reis, I.C.; Ribeiro, M.S.; Dias, C.M.G.; Ayllón, T.; Honório, N.A. Dengue, Chikungunya, and Zika: Spatial and Temporal Distribution in Rio de Janeiro State, 2015–2019. Trop. Med. Infect. Dis. 2022, 7, 141. https://doi.org/10.3390/tropicalmed7070141
dc.identifier.doi10.3390/tropicalmed7070141
dc.identifier.essn2414-6366
dc.identifier.officialurlhttps://doi.org/10.3390/tropicalmed7070141
dc.identifier.urihttps://hdl.handle.net/20.500.14352/101774
dc.issue.number7
dc.journal.titleTropical medicine and infectious disease
dc.language.isoeng
dc.page.final16
dc.page.initial1
dc.publisherMDPI
dc.relation.projectID(grant numbers E-26/010.001610/2016; E-26/202.736/2018; E-26/203.052/2019 and E-26/203.893/2021)
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu578
dc.subject.cdu616.98(81)
dc.subject.keywordArboviruses
dc.subject.keywordAedes spp
dc.subject.keywordSpatial and temporal dynamics
dc.subject.keywordRio de Janeiro
dc.subject.ucmMicrobiología (Biología)
dc.subject.unesco2420.01 Arbovirus
dc.titleDengue, Chikungunya, and Zika: Spatial and Temporal Distribution in Rio de Janeiro State, 2015–2019
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number7
dspace.entity.typePublication
relation.isAuthorOfPublication0f7d7417-a5e6-4dc4-965b-83378dc7079e
relation.isAuthorOfPublication.latestForDiscovery0f7d7417-a5e6-4dc4-965b-83378dc7079e

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