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dc.contributor.authorLee, SA
dc.contributor.authorEconomou, T
dc.contributor.authorBarcellos, C
dc.contributor.authorCatão, R
dc.contributor.authorCarvalho, MS
dc.contributor.authorLowe, R
dc.date.accessioned2021-04-30T09:20:40Z
dc.date.issued2021-04-20
dc.description.abstractBackground Globally, incidence of dengue fever has increased more than 30-times in the past 50 years, with outbreaks becoming frequent in tropical and subtropical countries. This rapid emergence has been attributed to increased urbanisation, globalisation, international mobility, and climate change. Brazil is endemic to all four dengue virus serotypes with outbreaks occurring in every region of the country. Previous studies identified geographical barriers to dengue diffusion, with some regions of Brazil being relatively protected from outbreaks. These regions included areas in the south of the country where seasonal temperatures were too cold for vectors to efficiently transmit the virus, regions of the western Amazon that were isolated from infectious hosts and vectors, and mountainous regions of southeast Brazil. Methods In this ecological modelling study, we used a Bayesian spatiotemporal model to understand the effect of climate variation, connectivity between cities, and socioeconomic factors, such as urbanisation, on the expansion of the permanent dengue virus transmission zone in Brazil. We obtained monthly dengue fever case data from 5560 municipalities in Brazil for 2001–19 from the Notifiable Diseases Information System (SINAN) surveillance system. The model was fitted to an outbreak indicator defined as exceeding 300 cases per 100 000 inhabitants per year. Fixed effects included climate suitability and hydrometeorological variables obtained from the Climate Research Unit (University of East Anglia, Norwich, UK), the level of influence of a city from the Brazilian Regiōes de Influência das Cidades study, and socioeconomic factors, such as urbanisation, from census data. Spatiotemporal random effects were included to account for unobserved heterogeneity, spatial autocorrelation, and temporal trends. Findings Data from the past 10 years showed that pre-identified geographical barriers to dengue virus transmission are being eroded or destroyed completely. The emergence of dengue fever outbreaks in south Brazil coincided with an increase in the number of months per year with temperatures suitable for transmission. Interpretation Understanding the factors that lead to the erosion of barriers to dengue virus transmission will help identify regions at risk of future outbreaks, and improve public health preparedness to emerging and re-emerging diseases.en_GB
dc.description.sponsorshipRoyal Societyen_GB
dc.identifier.citationVol. 5, Supplement 1, article S14en_GB
dc.identifier.doi10.1016/s2542-5196(21)00098-x
dc.identifier.urihttp://hdl.handle.net/10871/125517
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.en_GB
dc.titleEffect of climate change, connectivity, and socioeconomic factors on the expansion of the dengue virus transmission zone in 21st century Brazil: an ecological modelling studyen_GB
dc.typeArticleen_GB
dc.date.available2021-04-30T09:20:40Z
dc.identifier.issn2542-5196
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this record.en_GB
dc.description2021 Planetary Health Annual Meeting and Festival, 25 - 30 April 2021. Virtual
dc.identifier.journalThe Lancet Planetary Healthen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-04-20
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-04-30T09:17:32Z
refterms.versionFCDVoR
refterms.dateFOA2021-04-30T09:21:20Z
refterms.panelBen_GB


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© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
Except where otherwise noted, this item's licence is described as © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.