Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, I-20133 Milano, Italy; Université Grenoble Alpes, CNRS, Université Savoie Mont Blanc, LECA, Laboratoire d'Ecologie Alpine, F-38000 Grenoble, France.
Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, I-20133 Milano, Italy.
Sci Total Environ. 2021 Mar 20;761:144432. doi: 10.1016/j.scitotenv.2020.144432. Epub 2020 Dec 16.
Environmental factors are well known to affect spatio-temporal patterns of infectious disease outbreaks, but whether the rapid spread of COVID-19 across the globe is related to local environmental conditions is highly debated. We assessed the impact of environmental factors (temperature, humidity and air pollution) on the global patterns of COVID-19 early outbreak dynamics during January-May 2020, controlling for several key socio-economic factors and airport connections. We showed that during the earliest phase of the global outbreak (January-March), COVID-19 growth rates were non-linearly related to climate, with fastest spread in regions with a mean temperature of ca. 5 °C, and in the most polluted regions. However, environmental effects faded almost completely when considering later outbreaks, in keeping with the progressive enforcement of containment actions. Accordingly, COVID-19 growth rates consistently decreased with stringent containment actions during both early and late outbreaks. Our findings indicate that environmental drivers may have played a role in explaining the early variation among regions in disease spread. With limited policy interventions, seasonal patterns of disease spread might emerge, with temperate regions of both hemispheres being most at risk of severe outbreaks during colder months. Nevertheless, containment measures play a much stronger role and overwhelm impacts of environmental variation, highlighting the key role for policy interventions in curbing COVID-19 diffusion within a given region. If the disease will become seasonal in the next years, information on environmental drivers of COVID-19 can be integrated with epidemiological models to inform forecasting of future outbreak risks and improve management plans.
环境因素众所周知会影响传染病爆发的时空模式,但 COVID-19 在全球范围内的迅速传播是否与当地环境条件有关,这一点存在很大争议。我们评估了环境因素(温度、湿度和空气污染)对 2020 年 1 月至 5 月期间 COVID-19 早期爆发动态的全球模式的影响,同时控制了几个关键的社会经济因素和机场连接。我们表明,在全球爆发的最早阶段(1 月至 3 月),COVID-19 的增长率与气候呈非线性关系,在平均温度约为 5°C 的地区和污染最严重的地区传播最快。然而,当考虑后期爆发时,环境影响几乎完全消失,这与遏制措施的逐步实施相一致。因此,在早期和后期爆发期间,随着遏制措施的严格执行,COVID-19 的增长率持续下降。我们的研究结果表明,环境驱动因素可能在解释疾病传播早期在地区之间的差异方面发挥了作用。由于政策干预有限,疾病传播可能会出现季节性模式,两个半球的温带地区在较冷的月份最容易发生严重爆发。然而,遏制措施发挥了更强的作用,超过了环境变化的影响,突出了政策干预在遏制 COVID-19 在特定地区扩散方面的关键作用。如果该疾病在未来几年成为季节性疾病,那么有关 COVID-19 环境驱动因素的信息可以与流行病学模型相结合,以告知未来爆发风险的预测并改进管理计划。