D'Amico Filippo, Marmiere Marilena, Righetti Beatrice, Scquizzato Tommaso, Zangrillo Alberto, Puglisi Riccardo, Landoni Giovanni
Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy; Faculty of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Environ Res. 2022 Apr 15;206:112614. doi: 10.1016/j.envres.2021.112614. Epub 2021 Dec 22.
While the beneficial effect of vaccination, restrictive measures, and social distancing in reducing mortality due to SARS-CoV-2 is intuitive and taken for granted, seasonality (predictable fluctuation or pattern that recurs or repeats over a one-year period) is still poorly understood and insufficiently taken into consideration. We aimed to examine SARS-CoV-2 seasonality in countries with temperate climate.
We identified countries with temperate climate and extracted average country temperature data from the National Center for Environmental information and from the Climate Change Knowledge Portal. We obtained mortality and vaccination rates from an open access database. We used the stringency index derived from the Oxford COVID-19 Government Response Tracker to quantify restriction policies. We used Spearman's and rank-correlation non-parametric test coefficients to investigate the association between COVID-19 mortality and temperature values. We employed multivariate regression models to analyze how containment measures, vaccinations, and monthly temperatures affected COVID-19 mortality rates.
The time series for daily deaths per million inhabitants and average monthly temperatures of European countries and US states with a temperate climate had a negative correlation (p < 0.0001 for all countries, 0.40 < R < 0.86). When running multivariate regression models with country fixed effects, we noted that mortality rates were significantly lower when temperature were higher. Interestingly, when adding an interaction term between monthly temperatures and vaccination rates, we found that as monthly temperatures dropped, the effect of the vaccination campaign on mortality was larger than at higher temperatures.
Deaths attributed to SARS-CoV-2 decreased during the summer period in temperate countries. We found that the effect of vaccination rates on mortality was stronger when temperatures were lower. Stakeholders should consider seasonality in managing SARS-CoV-2 and future pandemics to minimize mortality, limit the pressure on hospitals and intensive care units while maintaining economic and social activities.
虽然疫苗接种、限制措施和社交距离在降低新冠病毒导致的死亡率方面的有益效果是直观且理所当然的,但季节性(在一年期间反复出现或重复的可预测波动或模式)仍未得到充分理解且未被充分考虑。我们旨在研究温带气候国家的新冠病毒季节性。
我们确定了温带气候国家,并从国家环境信息中心和气候变化知识门户提取了各国平均气温数据。我们从一个开放获取数据库中获取了死亡率和疫苗接种率。我们使用从牛津新冠病毒政府应对追踪器得出的严格指数来量化限制政策。我们使用斯皮尔曼秩相关非参数检验系数来研究新冠病毒死亡率与温度值之间的关联。我们采用多元回归模型来分析防控措施、疫苗接种和月平均气温如何影响新冠病毒死亡率。
温带气候的欧洲国家和美国各州每百万居民每日死亡人数的时间序列与月平均气温呈负相关(所有国家p<0.0001,0.40<R<0.86)。在运行具有国家固定效应的多元回归模型时,我们注意到温度较高时死亡率显著较低。有趣的是,当在月平均气温和疫苗接种率之间添加一个交互项时,我们发现随着月平均气温下降,疫苗接种运动对死亡率的影响比在较高温度时更大。
在温带国家,夏季期间新冠病毒导致的死亡人数减少。我们发现温度较低时疫苗接种率对死亡率的影响更强。利益相关者在管理新冠病毒和未来大流行时应考虑季节性,以尽量减少死亡率,限制医院和重症监护病房的压力,同时维持经济和社会活动。