Mostrar el registro sencillo del documento
COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis
dc.creator | Qi, Hongchao | |
dc.creator | Xiao, Shuang | |
dc.creator | Shi, Runye | |
dc.creator | Ward, Michael P. | |
dc.creator | Chen, Yue | |
dc.creator | Tu, Wei | |
dc.creator | Su, Qing | |
dc.creator | Wang, Wenge | |
dc.creator | Wang, Xinyi | |
dc.creator | Zhang, Zhijie | |
dc.date.accessioned | 2020-07-16T15:36:02Z | |
dc.date.available | 2020-07-16T15:36:02Z | |
dc.date.created | 2020 | |
dc.identifier.issn | 0048-9697 | spa |
dc.identifier.other | https://doi.org/10.1016/j.scitotenv.2020.138778 | spa |
dc.identifier.uri | http://hdl.handle.net/20.500.12010/10653 | |
dc.description.abstract | COVID-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 China | spa |
dc.format.extent | 6 páginas | spa |
dc.format.mimetype | image/jepg | spa |
dc.publisher | Science Direct | eng |
dc.source | reponame:Expeditio Repositorio Institucional UJTL | spa |
dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | spa |
dc.subject | Meteorological factors | spa |
dc.subject | COVID-19 | spa |
dc.subject | Time-series analysis | spa |
dc.subject | China | spa |
dc.title | COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis | spa |
dc.type.local | Artículo | spa |
dc.subject.lemb | Síndrome respiratorio agudo grave | spa |
dc.subject.lemb | COVID-19 | spa |
dc.subject.lemb | SARS-CoV-2 | spa |
dc.subject.lemb | Coronavirus | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
dc.identifier.doi | https://doi.org/10.1016/j.scitotenv.2020.138778 | spa |