PDF(Pubmed)
Abstract：
Since the onset of the COVID-19 pandemic in 2019, the role of weather conditions in influencing transmission has been unclear, with results varying across different studies. Given the changes in border policies and the higher vaccination rates compared to earlier conditions, this study aimed to reassess the impact of weather on COVID-19, focusing on local climate effects. We analyzed daily COVID-19 case data and weather factors such as temperature, humidity, wind speed, and a diurnal temperature range from 1 March to 15 August 2022 across six regions in Taiwan. This study found a positive correlation between maximum daily temperature and relative humidity with new COVID-19 cases, whereas wind speed and diurnal temperature range were negatively correlated. Additionally, a significant positive correlation was identified between the unease environmental condition factor (UECF, calculated as RH*Tmax/WS), the kind of Climate Factor Complex (CFC), and confirmed cases. The findings highlight the influence of local weather conditions on COVID-19 transmission, suggesting that such factors can alter environmental comfort and human behavior, thereby affecting disease spread. We also introduced the Fire-Qi Period concept to explain the cyclic climatic variations influencing infectious disease outbreaks globally. This study emphasizes the necessity of considering both local and global climatic effects on infectious diseases.
摘要：
自2019年COVID-19大流行爆发以来，天气条件在影响传播中的作用一直不清楚，不同研究的结果各不相同。鉴于边境政策的变化和疫苗接种率比以前更高，这项研究旨在重新评估天气对COVID-19的影响，重点关注当地的气候影响。我们分析了每日COVID-19病例数据和天气因素，如温度，湿度,湿度风速,台湾六个地区的昼夜温度范围为2022年3月1日至8月15日。这项研究发现，新的COVID-19病例与每日最高温度和相对湿度呈正相关，而风速与日气温范围呈负相关。此外,在不稳定的环境条件因素(UECF，以RH*Tmax/WS计算)，气候因子复合体(CFC)的种类，和确诊病例。调查结果强调了当地天气条件对COVID-19传播的影响，表明这些因素可以改变环境舒适度和人类行为，从而影响疾病传播。我们还引入了火气时期的概念来解释影响全球传染病爆发的周期性气候变化。这项研究强调了考虑局部和全球气候对传染病的影响的必要性。
