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Identifying hidden Zika hotspots in Pernambuco, Brazil: a spatial analysis.
Freitas, Laís Picinini; Lowe, Rachel; Koepp, Andrew E; Alves, Sandra Valongueiro; Dondero, Molly; Marteleto, Letícia J.
Afiliação
  • Freitas LP; Population Research Center, University of Texas at Austin, Austin, Texas 78712-1699, USA.
  • Lowe R; Department of Earth Sciences, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.
  • Koepp AE; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.
  • Alves SV; Centre on Climate Change & Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.
  • Dondero M; Population Research Center, University of Texas at Austin, Austin, Texas 78712-1699, USA.
  • Marteleto LJ; Department of Human Development and Family Sciences, University of Texas at Austin, Austin, Texas 78712, USA.
Trans R Soc Trop Med Hyg ; 117(3): 189-196, 2023 03 01.
Article em En | MEDLINE | ID: mdl-36326785
BACKGROUND: Northeast Brazil has the world's highest rate of Zika-related microcephaly. However, Zika case counts cannot accurately describe burden because mandatory reporting was only established when the epidemic was declining in the region. METHODS: To advance the study of the Zika epidemic, we identified hotspots of Zika in Pernambuco state, Northeast Brazil, using Aedes-borne diseases (dengue, chikungunya and Zika) and microcephaly data. We used Kulldorff's Poisson purely spatial scan statistic to detect low- and high-risk clusters for Aedes-borne diseases (2014-2017) and for microcephaly (2015-2017), separately. Municipalities were classified according to a proposed gradient of Zika burden during the epidemic, based on the combination of cluster status in each analysis and considering the strength of the evidence. RESULTS: We identified 26 Aedes-borne diseases clusters (11 high-risk) and 5 microcephaly clusters (3 high-risk) in Pernambuco. According to the proposed Zika burden gradient, our results indicate that the northeast of Pernambuco and the Sertão region were hit hardest by the Zika epidemic. The first is the most populous area of Pernambuco, while the second has one of the highest rates of social and economic inequality in Brazil. CONCLUSION: We successfully identified possible hidden Zika hotspots using a simple methodology combining Aedes-borne diseases and microcephaly information.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aedes / Zika virus / Infecção por Zika virus / Microcefalia Limite: Animals / Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Trans R Soc Trop Med Hyg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aedes / Zika virus / Infecção por Zika virus / Microcefalia Limite: Animals / Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Trans R Soc Trop Med Hyg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido