Seasonal variation of Covid-19 incidence and role of land surface and air temperatures: a case study in the west of Iran.
.In this study, we assessed the impact of satellite-based Land Surface Temperature (LST) and Air Temperature (AT) on covid-19. First, we spatio-temporally kriged the LST and applied bias correction. The epidemic shape, timing, and size were compared after and before adjusting for the predictors. Giv...
| Publicado en: | International Journal of Environmental Health Research Vol. 34; no. 3; pp. 1342 - 1355 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175749825&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175749825 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Mar2024 vid: 34 iid: 3 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 175749825 162777740 175749825 175749825 10.1080/09603123.2023.2196057 175749825 ppf: 1342 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Seasonal variation of Covid-19 incidence and role of land surface and air temperatures: a case study in the west of Iran. aug: au: Maleki, Afshin Aboubakri, Omid Rezaee, Reza Alahmad, Barrak Sera, Francesco affil: Green Technology and Sustainable Development in Construction Research Group, School of Engineering and Technology, Van Lang University, Ho Chi Minh City, Vietnam sug: subj: Seasons COVID-19 Epidemiology Natural Environment Temperature Air Human Confidence Intervals Uncertainty Iran ab: .In this study, we assessed the impact of satellite-based Land Surface Temperature (LST) and Air Temperature (AT) on covid-19. First, we spatio-temporally kriged the LST and applied bias correction. The epidemic shape, timing, and size were compared after and before adjusting for the predictors. Given the non-linear behavior of a pandemic, a semi-parametric regression model was used. In addition, the interaction effect between the predictors and season was assessed. Before adjusting for the predictors, the peak happened at the end of hot season. After adjusting, it was attenuated and slightly moved forward. Moreover, the Attributable Fraction (AF) and Peak to Trough Relative (PTR) were % 23 (95% CI; 15, 32) and 1.62 (95%CI; 1.34, 1.97), respectively. We found that temperature might have changed the seasonal variation of covid-19. However, given the large uncertainty after adjusting for the variables, it was hard to provide conclusive evidence in the region we studied. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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