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Meteorological factors and incidence of COVID-19 during the first wave of the pandemic in Catalonia (Spain): A multi-county study

机译:Catalonia大流行病中的Covid-19的气象因素和进出率(西班牙):多县学习

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摘要

The transmission of coronaviruses can be affected by several factors, including the climate. Due to the rapid spread of COVID-19 and the urgent need for rapid responses to contain the pandemic, it is essential to understand the role that weather conditions on the transmission of SARS-CoV-2. We evaluate the influence of meteorological factors on the incidence of COVID-19 during the first wave of the epidemic in Catalonia. We conducted a geographical analysis at the county level to evaluate the association between mean temperature, absolute humidity, solar radiation, and the cumulative incidence of COVID-19. Next, we used a time-series design to assess the short-term effects of meteorological factors on the daily incidence of COVID-19. We found a geographical association between meteorological factors and the cumulative incidence of COVID-19, from the end of March to June 2020, and a lesser extent in the short-term on the daily incidence during the first wave of the epidemic in Spain. Our findings suggest that warm and wet climates may reduce the incidence of COVID-19 in Catalonia. However, policy makers must interpret with caution any COVID-19 risk predictions based on climate information alone.
机译:冠状病毒的传播可能受到若干因素的影响,包括气候。由于Covid-19的迅速传播,迫切需要快速响应遏制大流行,必须了解天气条件对SARS-COV-2传播的作用。我们评估气象因素对加泰罗尼亚疫情第一波Covid-19发生率的影响。我们在县级进行了地理分析,以评估平均温度,绝对湿度,太阳辐射和Covid-19的累积发生率之间的关联。接下来,我们使用时序设计来评估气象因素对Covid-19日常发病率的短期影响。我们发现气象因素与Covid-19的累计发病率之间的地理关联,从3月至2020年6月到6月,在西班牙第一波流行病中的日常发病率的短期内较小。我们的研究结果表明,温暖和潮湿的气候可能会降低加泰罗尼亚Covid-19的发病率。但是,政策制定者必须根据单独的气候信息谨慎解释任何Covid-19风险预测。

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