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冠状病毒 COVID-19 爆发与控制:温度、相对湿度和封锁措施的影响。

Coronavirus COVID-19 outbreak and control: Effect of temperature, relative humidity, and lockdown implementation.

机构信息

Department of Chemical Engineering and Polymer Science, Shahjalal University of Science and Technology, 3114 Sylhet, Bangladesh.

Departament d'Enginyeria Química, Universitat Rovira i Virgili, 43007 Tarragona, Spain.

出版信息

Arch Pediatr. 2021 Feb;28(2):111-116. doi: 10.1016/j.arcped.2020.12.006. Epub 2020 Dec 23.

Abstract

Meteorological parameters are important factors that have an influence on infectious diseases. The present study aimed to explore the correlation between the spread of COVID-19, temperature, and relative humidity. The effect of human-imposed control parameters in the form of lockdown on the dissipation of COVID-19 was also analysed. Data were collected on the three study variables - temperature, relative humidity, and lockdown period - from nine of the most infected cities worldwide as well as information on changes in the number of COVID-19 patients from the beginning to a specific point in the lockdown period. A generalised regression model was applied to explore the effect of temperature and relative humidity on the change in daily new cases of COVID-19. The regression analysis did not find any significant correlation between temperature, humidity, and change in number of COVID-19 cases. Analysis of the cities with wide-ranging temperature variations showed a negative correlation of COVID-19 transmission (P=0.079) with temperature, but a relatively non-significant correlation with relative humidity (P=0.198). The number of total deaths was also higher in low-temperature countries compared with high-temperature countries. The specific growth rate in COVID-19 cases was decreased by more than 66% after implementation of a lockdown. This growth rate was exponentially decreased over time through the proper implementation of lockdown. Analysis of the real-case scenario and application of predictive models showed that for New York, Lombardy, and Madrid more than 120 days of strict lockdown was required for complete control of the transmission of COVID-19.

摘要

气象参数是影响传染病的重要因素。本研究旨在探讨 COVID-19 的传播与温度和相对湿度的相关性。还分析了以封锁形式人为施加的控制参数对 COVID-19 消散的影响。从全球感染最严重的九个城市收集了三个研究变量(温度、相对湿度和封锁期)的数据,以及从封锁开始到特定时间点 COVID-19 患者数量变化的信息。应用广义回归模型探讨了温度和相对湿度对 COVID-19 每日新增病例变化的影响。回归分析未发现温度、湿度与 COVID-19 病例数量变化之间存在显著相关性。对温度变化范围广泛的城市进行分析表明,COVID-19 传播呈负相关(P=0.079),但与相对湿度呈相对非显著相关(P=0.198)。与高温国家相比,低温国家的总死亡人数也更高。在实施封锁后,COVID-19 病例的特定增长率下降了超过 66%。通过适当实施封锁,这种增长率呈指数级下降。对实际案例场景的分析和预测模型的应用表明,对于纽约、伦巴第和马德里,需要 120 天以上的严格封锁才能完全控制 COVID-19 的传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbe9/7755572/55f4f8fd0c86/gr1_lrg.jpg

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