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Spatial Methods for Inferring Extremes in Dengue Outbreak Risk in Singapore.
Soh, Stacy; Ho, Soon Hoe; Seah, Annabel; Ong, Janet; Richards, Daniel R; Gaw, Leon Yan-Feng; Dickens, Borame Sue; Tan, Ken Wei; Koo, Joel Ruihan; Cook, Alex R; Lim, Jue Tao.
Afiliación
  • Soh S; Environmental Health Institute, National Environment Agency, Singapore 138667, Singapore.
  • Ho SH; Environmental Health Institute, National Environment Agency, Singapore 138667, Singapore.
  • Seah A; Environmental Health Institute, National Environment Agency, Singapore 138667, Singapore.
  • Ong J; Environmental Health Institute, National Environment Agency, Singapore 138667, Singapore.
  • Richards DR; Manaaki Whenua-Landcare Research, Lincoln P.O. Box 69040, New Zealand.
  • Gaw LY; Department of Architecture, College of Design and Engineering, National University of Singapore, Singapore 117566, Singapore.
  • Dickens BS; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
  • Tan KW; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
  • Koo JR; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
  • Cook AR; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
  • Lim JT; Environmental Health Institute, National Environment Agency, Singapore 138667, Singapore.
Viruses ; 14(11)2022 11 04.
Article en En | MEDLINE | ID: mdl-36366548
ABSTRACT
Dengue is a major vector-borne disease worldwide. Here, we examined the spatial distribution of extreme weekly dengue outbreak risk in Singapore from 2007 to 2020. We divided Singapore into equal-sized hexagons with a circumradius of 165 m and obtained the weekly number of dengue cases and the surface characteristics of each hexagon. We accounted for spatial heterogeneity using max-stable processes. The 5-, 10-, 20-, and 30-year return levels, or the weekly dengue case counts expected to be exceeded once every 5, 10, 20, and 30 years, respectively, were determined for each hexagon conditional on their surface characteristics remaining constant over time. The return levels were higher in the country's east, with the maximum weekly dengue cases per hexagon expected to exceed 51 at least once in 30 years in many areas. The surface characteristics with the largest impact on outbreak risk were the age of public apartments and the percentage of impervious surfaces, where a 3-year and 10% increase in each characteristic resulted in a 3.8% and 3.3% increase in risk, respectively. Vector control efforts should be prioritized in older residential estates and places with large contiguous masses of built-up environments. Our findings indicate the likely scale of outbreaks in the long term.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dengue Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans País/Región como asunto: Asia Idioma: En Revista: Viruses Año: 2022 Tipo del documento: Article País de afiliación: Singapur

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dengue Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans País/Región como asunto: Asia Idioma: En Revista: Viruses Año: 2022 Tipo del documento: Article País de afiliación: Singapur