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dc.creatorQi, Hongchao
dc.creatorXiao, Shuang
dc.creatorShi, Runye
dc.creatorWard, Michael P.
dc.creatorChen, Yue
dc.creatorTu, Wei
dc.creatorSu, Qing
dc.creatorWang, Wenge
dc.creatorWang, Xinyi
dc.creatorZhang, Zhijie
dc.date.accessioned2020-07-16T15:36:02Z
dc.date.available2020-07-16T15:36:02Z
dc.date.created2020
dc.identifier.issn0048-9697spa
dc.identifier.otherhttps://doi.org/10.1016/j.scitotenv.2020.138778spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/10653
dc.description.abstractCOVID-19 has become a pandemic. The influence of meteorological factors on the transmission and spread of COVID-19 is of interest. This study sought to examine the associations of daily average temperature (AT) and relative humidity (ARH) with the daily counts of COVID-19 cases in 30 Chinese provinces (in Hubei from December 1, 2019 to February 11, 2020 and in other provinces from January 20, 2020 to Februarys 11, 2020). A Generalized Additive Model (GAM) was fitted to quantify the province-specific associations between meteorological variables and the daily cases of COVID-19 during the study periods. In the model, the 14-day exponential moving averages (EMAs) of AT and ARH, and their interaction were included with time trend and health-seeking behavior adjusted. Their spatial distributions were visualized. AT and ARH showed significantly negative associations with COVID-19 with a significant interaction between them (0.04, 95% confidence interval: 0.004–0.07) in Hubei. Every 1 °C increase in the AT led to a decrease in the daily confirmed cases by 36% to 57% when ARH was in the range from 67% to 85.5%. Every 1% increase in ARH led to a decrease in the daily confirmed cases by 11% to 22% when AT was in the range from 5.04 °C to 8.2 °C. However, these associations were not consistent throughout Mainland Chinaspa
dc.format.extent6 páginasspa
dc.format.mimetypeimage/jepgspa
dc.publisherScience Directeng
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectMeteorological factorsspa
dc.subjectCOVID-19spa
dc.subjectTime-series analysisspa
dc.subjectChinaspa
dc.titleCOVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysisspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2020.138778spa


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