Please use this identifier to cite or link to this item: https://doi.org/10.3390/v14112450
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dc.titleSpatial Methods for Inferring Extremes in Dengue Outbreak Risk in Singapore
dc.contributor.authorSoh, Stacy
dc.contributor.authorHo, Soon Hoe
dc.contributor.authorSeah, Annabel
dc.contributor.authorOng, Janet
dc.contributor.authorRichards, Daniel R
dc.contributor.authorGaw, Leon Yan-Feng
dc.contributor.authorDickens, Borame Sue
dc.contributor.authorTan, Ken Wei
dc.contributor.authorKoo, Joel Ruihan
dc.contributor.authorCook, Alex RR
dc.contributor.authorLim, Jue Tao
dc.date.accessioned2023-07-06T05:33:43Z
dc.date.available2023-07-06T05:33:43Z
dc.date.issued2022-11-01
dc.identifier.citationSoh, 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 RR, Lim, Jue Tao (2022-11-01). Spatial Methods for Inferring Extremes in Dengue Outbreak Risk in Singapore. VIRUSES-BASEL 14 (11). ScholarBank@NUS Repository. https://doi.org/10.3390/v14112450
dc.identifier.issn1999-4915
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/242831
dc.description.abstractDengue 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.
dc.language.isoen
dc.publisherMDPI
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectVirology
dc.subjectdengue
dc.subjectextreme value theory
dc.subjectmax-stable model
dc.subjecttransmission risk
dc.subjectMODELS
dc.typeArticle
dc.date.updated2023-07-05T11:48:19Z
dc.contributor.departmentARCHITECTURE
dc.contributor.departmentDEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH)
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.description.doi10.3390/v14112450
dc.description.sourcetitleVIRUSES-BASEL
dc.description.volume14
dc.description.issue11
dc.published.statePublished
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