PMC:7229913 / 5935-7546 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7229913","sourcedb":"PMC","sourceid":"7229913","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7229913","text":"The global probability distribution of COVID-19 cases with respect to the ambient temperature is shown in Fig. 1 . The temperature interval at each panel is 1 °C. The results clearly illustrate that 60.0% of the confirmed COVID-19 cases were found in places where the air temperature ranged from 5 °C to 15 °C, with a peak at 11 °C. However, there were few confirmed cases located at cold (lower that 0 °C) and hot (greater than 30 °C) regions. Fitting the results using normal distribution, we found that the mean and the standard deviation of the fitted normal distribution curve were 11.54 °C and 5.47 °C, respectively. A previous study analyzed the relationship between daily confirmed COVID-19 cases and air temperature from 122 cities in China (Xie and Zhu, 2020) and pointed out that confirmed COVID-19 cases increased by 4.861%/°C for ambient temperature lower than 3 °C. Based on the analysis of global COVID-19 cases, our results demonstrated that confirmed COVID-19 cases increased by 27,536 cases/°C for ambient temperature lower than 10 °C. Thus, the rate of increase in COVID-19 cases induced by temperature may have been underestimated by the previous study.\nFig. 1 Relationship of daily confirmed cases of coronavirus disease 2019 with (a) corresponding temperatures, (b) daily temperature difference, (c) maximum temperature, and (d) minimum temperature globally from January 22, 2020 to May 6, 2020. The blue line represents the fitted normal distribution curve. 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