Division of Health Risk Factors Monitoring and Control, Department of Environmental Health, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institutes of Preventive Medicine, Shanghai, China.
Department of Infectious Diseases Monitoring and Control, Shanghai Yangpu Center for Disease Control and Prevention, Shanghai, China.
J Med Virol. 2022 Mar;94(3):965-970. doi: 10.1002/jmv.27395. Epub 2021 Oct 21.
The association between meteorological factors and COVID-19 is important for the prevention and control of COVID-19. However, similar studies are relatively rare in China. This study aims to investigate the association between COVID-19 and meteorological factors, such as average temperature, relative humidity, and air quality index (AQI), and average wind speed. We collected the daily confirmed cases of COVID-19 and meteorological factors in Shanghai China from January 10, 2020 to March 31, 2020. A generalized additive model was fitted to quantify the associations between meteorological factors and COVID-19 during the study period. A negative association between average temperature and daily confirmed cases of COVID-19 was found on lag 13 days. In addition, we observed a significant positive correlation between meteorological factors (AQI, relative humidity) and daily confirmed cases of COVID-19. A 10 increase in AQI (lag1/7/8/9/10 days) was correlated with a 4.2%-9.0% increase in the daily confirmed cases of COVID-19. A 1% increase in relative humidity (lag1/4/7/8/9/10 days) was correlated with 1.7%-3.7% increase in the daily confirmed cases of COVID-19. However, the associations between average wind speed and the daily confirmed cases of COVID-19 is complex in different lag days. In summary, meteorological factors could affect the occurrence of COVID-19. Reducing the effects of meteorological factors on COVID-19 may be an important public health action for the prevention and control of COVID-19.
气象因素与 COVID-19 之间的关系对 COVID-19 的预防和控制非常重要。然而,在中国,类似的研究相对较少。本研究旨在探讨 COVID-19 与气象因素(如平均气温、相对湿度和空气质量指数(AQI)以及平均风速)之间的关系。我们收集了 2020 年 1 月 10 日至 2020 年 3 月 31 日期间中国上海的每日 COVID-19 确诊病例和气象数据。采用广义加性模型来量化研究期间气象因素与 COVID-19 之间的关系。在滞后 13 天时,发现平均气温与每日 COVID-19 确诊病例之间呈负相关。此外,我们观察到气象因素(AQI、相对湿度)与每日 COVID-19 确诊病例之间存在显著正相关。AQI 增加 10(滞后 1/7/8/9/10 天)与 COVID-19 每日确诊病例增加 4.2%-9.0%相关。相对湿度增加 1%(滞后 1/4/7/8/9/10 天)与 COVID-19 每日确诊病例增加 1.7%-3.7%相关。然而,平均风速与 COVID-19 每日确诊病例之间的关系在不同的滞后天数表现复杂。总之,气象因素可能会影响 COVID-19 的发生。减少气象因素对 COVID-19 的影响可能是预防和控制 COVID-19 的重要公共卫生措施。