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  • COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis #MMPMID32335405
  • Qi H; Xiao S; Shi R; Ward MP; Chen Y; Tu W; Su Q; Wang W; Wang X; Zhang Z
  • Sci Total Environ 2020[Aug]; 728 (ä): 138778 PMID32335405show ga
  • 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 degrees 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 degrees C to 8.2 degrees C. However, these associations were not consistent throughout Mainland China.
  • |*Humidity[MESH]
  • |*Temperature[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*transmission[MESH]
  • |Humans[MESH]
  • |Models, Theoretical[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*transmission[MESH]
  • |SARS-CoV-2[MESH]

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  • suck abstract from ncbi

    138778 ä.728 2020