Data_Sheet_1_Associations between meteorological factors and COVID-19: a global scoping review.docx

BackgroundMany respiratory viruses and their associated diseases are sensitive to meteorological factors. For SARS-CoV-2 and COVID-19, evidence on this sensitivity is inconsistent. Understanding the influence of meteorological factors on SARS-CoV-2 transmission and COVID-19 epidemiology can help to improve pandemic preparedness.ObjectivesThis review aimed to examine the recent evidence about the relation between meteorological factors and SARS-CoV-2/COVID-19.MethodsWe conducted a global scoping review of peer-reviewed studies published from January 2020 up to January 2023 about the associations between temperature, solar radiation, precipitation, humidity, wind speed, and atmospheric pressure and SARS-CoV-2/COVID-19.ResultsFrom 9,156 initial records, we included 474 relevant studies. Experimental studies on SARS-CoV-2 provided consistent evidence that higher temperatures and solar radiation negatively affect virus viability. Studies on COVID-19 (epidemiology) were mostly observational and provided less consistent evidence. Several studies considered interactions between meteorological factors or other variables such as demographics or air pollution. None of the publications included all determinants holistically.DiscussionThe association between short-term meteorological factors and SARS-CoV-2/COVID-19 dynamics is complex. Interactions between environmental and social components need further consideration. A more integrated research approach can provide valuable insights to predict the dynamics of respiratory viruses with pandemic potential.

背景：众多呼吸系统病毒及其相关疾病对气象因素具有敏感性。对于SARS-CoV-2及COVID-19而言，其敏感性方面的证据存在不一致性。探讨气象因素对SARS-CoV-2传播和COVID-19流行病学影响，有助于提升大流行病的预防准备。目标：本综述旨在审查关于气象因素与大语言模型（LLM）/SARS-CoV-2/COVID-19之间关系之近期证据。方法：我们进行了一项全球范围的文献综述，收集了从2020年1月至2023年1月期间发表的、探讨温度、太阳辐射、降水量、湿度、风速和大气压力与SARS-CoV-2/COVID-19之间关联的同行评审研究。结果：从9,156条初始记录中，我们选取了474项相关研究。关于SARS-CoV-2的实验研究提供了持续一致的证据，表明较高温度和太阳辐射对病毒存活具有负向影响。关于COVID-19（流行病学）的研究多为观察性，提供的证据一致性较低。数项研究考虑了气象因素或其他变量（如人口统计学或空气污染）之间的相互作用。然而，没有任何一项出版物全面地包括了所有决定因素。讨论：短期气象因素与大语言模型（LLM）/SARS-CoV-2/COVID-19动态之间的关联复杂。环境与社会成分之间的相互作用需要进一步考虑。更综合的研究方法可以为预测具有大流行潜力之呼吸病毒的动态提供宝贵洞见。