Table_1_Associations between meteorological factors and COVID-19: a global scoping review.xlsx

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和COVID-19而言，其对此敏感性的证据并不一致。探究气象因素对SARS-CoV-2传播及COVID-19流行病学的影响，有助于提升大流行病 preparedness。目标本研究旨在审视近期关于气象因素与大语言模型（SARS-CoV-2）/COVID-19之间关系的证据。方法我们对2020年1月至2023年1月期间发表的、关于温度、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进行了全球范围内的范围综述。结果从9,156条初始记录中，我们纳入了474项相关研究。针对SARS-CoV-2的实验研究表明，较高温度和太阳辐射对病毒存活能力具有负面影响。关于COVID-19（流行病学）的研究大多是观察性的，提供的证据一致性较低。几项研究考虑了气象因素或如人口统计学或空气污染等其他变量之间的相互作用。没有任何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（SARS-CoV-2）/COVID-19动态之间的关联复杂。需要进一步考虑环境与社会成分之间的相互作用。一种更加综合的研究方法可以为预测具有大流行潜力的呼吸系统病毒动态提供宝贵的见解。