论文标题
天气影响了中国大陆的Covid-19的爆发
The Weather Impacts the Outbreak of COVID-19 in Mainland China
论文作者
论文摘要
最近的文献表明，气候条件对Covid-19的冠状病毒的传播产生了相当大的影响。但是，缺乏全面的研究，可以研究多种天气因素与Covid-19大流行的发展之间的关系，同时排除了社会因素的影响。在本文中，我们研究了中国大陆250个城市的六个主要天气因素与Covid-19的感染统计之间的关系。我们使用天气和感染统计数据的相关性分析表明，所有研究的天气因子与Covid-19的扩散相关，在降水显示最强的相关性。我们还建立了一种天气感知的预测模型，该模型可以预测中国大陆爆发的第二波爆发，可预测被感染案件的数量。我们的预测结果表明，位于不同地理区域的城市在非常不同的时间段内的第二波Covid-19可能会受到挑战，并且爆发的严重程度在很大程度上变化了，这与不同的天气条件相对应。
Recent literature has suggested that climate conditions have considerably significant influences on the transmission of coronavirus COVID-19. However, there is a lack of comprehensive study that investigates the relationships between multiple weather factors and the development of COVID-19 pandemic while excluding the impact of social factors. In this paper, we study the relationships between six main weather factors and the infection statistics of COVID-19 on 250 cities in Mainland China. Our correlation analysis using weather and infection statistics indicates that all the studied weather factors are correlated with the spread of COVID-19, where precipitation shows the strongest correlation. We also build a weather-aware predictive model that forecasts the number of infected cases should there be a second wave of the outbreak in Mainland China. Our predicted results show that cities located in different geographical areas are likely to be challenged with the second wave of COVID-19 at very different time periods and the severity of the outbreak varies to a large degree, in correspondence with the varying weather conditions.
