论文标题
最佳Covid-19感染在低温，干燥空气和低紫外线辐射下扩散
Optimal COVID-19 infection spread under low temperature, dry air, and low UV radiation
论文作者
论文摘要
由新型冠状病毒SARS-COV-2引起的Covid-19-19大流行目前正在迅速传播到世界各地，造成许多死亡和严重的经济损害。人们认为，炎热和潮湿的条件不利于新型的冠状病毒，但由于与COVID-19的数据相关的许多不确定性，这仍在争论中。在这里，我们提出了替代数据测试，以检查该病毒在不同气候条件下扩散的偏好。我们发现，当温度为$ \ sim $ 10 $^\ circ $ c时，这种疾病显着（高于95％的置信度），具体的湿度为$ \ sim $ 5 g/kg，紫外线（UV）辐射为$ \ sim $ \ sim $ 80 kj/m $^2 $。相对湿度的重要性低于95％的置信度，并且没有显示优选值。结果是使用全球和区域数据支持的，涵盖了从2020年1月到7月的时间段。Covid-19数据包括每日报告的新病例和每日死亡案件；对于这两者，人口规模要么被考虑或忽略。
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, is currently spreading rapidly throughout the world, causing many deaths and severe economic damage. It is believed that hot and humid conditions do not favor the novel coronavirus, yet this is still under debate due to many uncertainties associated with the COVID-19 data. Here we propose surrogate data tests to examine the preference of this virus to spread under different climate conditions. We find that the disease is significantly (above the 95% confidence level) more common when the temperature is $\sim$10$^\circ$C, the specific humidity is $\sim$5 g/kg, and the ultraviolet (UV) radiation is $\sim$80 kJ/m$^2$. The significance of relative humidity is below the 95% confidence level and does not show a preferred value. The results are supported using global and regional data, spanning the time period from January to July 2020. The COVID-19 data includes the daily reported new cases and daily death cases; for both, the population size is either taken into account or ignored.
