Salcido Alejandro, Castro Telma
Departamento de Física, Universidad Autónoma Metropolitana-Iztapalapa, San Rafael Atlixco 186, Ciudad de México 09340, Mexico.
Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México. Circuito exterior, Ciudad Universitaria, 04510, Coyoacán, Ciudad de México, Mexico.
Environ Adv. 2022 Apr;7:100157. doi: 10.1016/j.envadv.2021.100157. Epub 2021 Dec 21.
Meteorology is a critical factor affecting respiratory infectious diseases such as MERS, SARS, and influenza, but its effect on the spread of the COVID-19 disease remains controversial. Nevertheless, since the infected people cough-jets produce plumes of droplets and aerosols that can travel for several meters in the atmosphere, the possible influence of wind circulation and atmospheric turbulence on the infectious plume's fate cannot be ignored. This paper applied cluster analysis for identifying the near surface wind circulation patterns and associated temperature and humidity distributions in the Mexico City Metropolitan Area (MCMA), then their influence on the spread of the COVID-19 disease during the 2020 pandemic was discussed. Meteorology data and daily numbers of confirmed COVID-19 infections were obtained from public sources. An intense infection activity occurred from October to December 2020, and notable spreading of the disease toward the southwest and south MCMA was observed. In the same period, temperature and humidity conditions that could favor the virus stability and replication were detected in the same sectors, besides 60% of the wind observations revealed considerable northerly components. These findings suggested the existence of correlations between both phenomena. For assessing the possible relationship, the Pearson coefficients between the daily confirmed infections and the temperature and inward flux were estimated, and values from -0.32 to -0.55 and 0.62 to 0.70 were obtained. Correlation was negligible for relative humidity. Multilinear regression for the daily infections in response to the meteorological variables produced coefficients of determination from 0.3839 to 0.6138. Because of its implications for public health, this topic deserves a more in-depth investigation.
气象学是影响中东呼吸综合征(MERS)、严重急性呼吸综合征(SARS)和流感等呼吸道传染病的关键因素,但其对新型冠状病毒肺炎(COVID-19)疾病传播的影响仍存在争议。然而,由于感染者咳嗽喷出的飞沫和气溶胶羽流可在大气中传播数米,因此风循环和大气湍流对感染性羽流命运的可能影响不容忽视。本文应用聚类分析来识别墨西哥城大都市区(MCMA)近地表风循环模式以及相关的温度和湿度分布,然后讨论了它们在2020年疫情期间对COVID-19疾病传播的影响。气象数据和COVID-19确诊感染的每日数据均来自公共来源。2020年10月至12月出现了强烈的感染活动,并且观察到该疾病显著向MCMA的西南部和南部蔓延。在同一时期,在相同区域检测到了有利于病毒稳定性和复制的温度和湿度条件,此外60%的风观测显示有相当大的北风分量。这些发现表明这两种现象之间存在相关性。为了评估可能的关系,估计了每日确诊感染与温度和内向通量之间的皮尔逊系数,得到的值在-0.32至-0.55以及0.62至0.70之间。相对湿度的相关性可忽略不计。针对气象变量的每日感染情况进行的多元线性回归得出的决定系数在0.3839至0.6138之间。由于其对公共卫生的影响,这个话题值得更深入的研究。