Selected article for: "confirmed number and exclusion date"
Author: Yun Qiu; Xi Chen; Wei Shi
Title: Impacts of social and economic factors on the transmission of coronavirus disease (COVID-19) in China
  • Document date: 2020_3_17
    • ID: 8ozauxlk_83
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.13.20035238 doi: medRxiv preprint A Data Figure A .1 illustrates the dependent variable, the instrumental variables, and the exclusion restriction that weather conditions earlier than two weeks from date t affect the number of people who are infectious within past two weeks, but do not directly affect the number of confirmed new cases at .....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.13.20035238 doi: medRxiv preprint A Data Figure A .1 illustrates the dependent variable, the instrumental variables, and the exclusion restriction that weather conditions earlier than two weeks from date t affect the number of people who are infectious within past two weeks, but do not directly affect the number of confirmed new cases at date t. (1) and (2), the dependent variables are the numbers of newly confirmed COVID-19 cases in the own city in the preceding first and second weeks, respectively. In Columns (3) and (4) Weather conditions affect disease transmissions either directly if the virus can more easily survive and spread in certain environment, or indirectly by changing human behavior. In our sample period, higher wind speeds or more precipitation decrease the number of infections in the future. Higher temperatures increase local infections, but decrease infections in other cities.

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