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墨西哥第一阶段社区 COVID-19 传染病的温度和区域气候影响。

The temperature and regional climate effects on communitarian COVID-19 contagion in Mexico throughout phase 1.

机构信息

Instituto de Ciencias Aplicadas y Tecnología-Consejo Nacional de Ciencia y Tecnología, Mexico. Instituto de Ingeniería-Universidad Nacional Autónoma de México, Mexico..

出版信息

Sci Total Environ. 2020 Sep 15;735:139560. doi: 10.1016/j.scitotenv.2020.139560. Epub 2020 May 19.

Abstract

Due to the close relationship between the incidence of infectious diseases by epidemics and environmental conditions, this research explores the temperature, evaporation, precipitation and regional climate effects on the local transmission of coronavirus SARS-CoV-2 inside 31 states and capital of Mexico since February 29 (national onset) to March 31, 2020. Statistical analysis was conducted to explore the association between the daily local COVID-19 confirmed positive cases (LCPC) and both climate characteristics and the daily weather reported by the regional meteorological stations. In this work, the local transmission ratio (LTR) was calculated with the regional LCPC divided by the number of the effective contagion days since regional onset in each state. The results showed a negative association between temperature (mean, max and min) and climate classification with both LCPC and LTR variables. The precipitation associated positively with LCPC and LTR. The associations between the climate classification with LCPC and LTR are statistically significant. The tropical climate (mean temperature around 25.95 °C and mean precipitation around 8.74 mm) delayed the regional onset. However, the regional onset in dry climates emerged earlier as consequence of the lower temperatures and higher precipitations (20.57 °C and 20.87 mm respectively) than the observed in the tropical climate. The fastest regional onsets were observed in tempered climates in states where the lowest temperatures and lowest precipitations were registered (19.65 °C and 8.48 mm respectively). Meteorological factors influenced the trend on the regional outbreaks in Mexican's states likely by the host predisposition and susceptibility during the cold winter season. In Mexico, the climate characteristics played a crucial role on the local infection during the phase 1 being the tempered regions (as Michoacán, Jalisco, Puebla, etc.) more vulnerable than the dry (as Chihuahua, Durango or Zacatecas, etc.) or tropical areas (as Colima, Campeche, Morelos etc.).

摘要

由于传染病的发病率与环境条件密切相关,本研究探讨了温度、蒸发、降水和区域气候对 2020 年 2 月 29 日(全国发病)至 3 月 31 日期间墨西哥 31 个州和首都本地传播冠状病毒 SARS-CoV-2 的影响。对统计分析进行了探讨,以研究当地每日 COVID-19 确诊阳性病例(LCPC)与气候特征和各地区气象站报告的每日天气之间的关系。在这项工作中,局部传播率(LTR)是用每个州的区域 LCPC 除以区域发病以来的有效感染天数来计算的。结果表明,温度(平均值、最大值和最小值)和气候分类与 LCPC 和 LTR 变量呈负相关。降水与 LCPC 和 LTR 呈正相关。气候分类与 LCPC 和 LTR 的关联具有统计学意义。热带气候(平均温度约为 25.95°C,平均降水量约为 8.74mm)延迟了区域发病。然而,由于温度较低、降水较多(分别为 20.57°C 和 20.87mm),干燥气候中的区域发病时间更早。在温度最低、降水最低的州,温带气候的区域发病速度最快(分别为 19.65°C 和 8.48mm)。气象因素可能通过宿主在寒冷冬季的易感性和易感性影响了墨西哥各州的区域疫情趋势。在墨西哥,气候特征在第 1 阶段的本地感染中起着至关重要的作用,温带地区(如米却肯州、哈利斯科州、普埃布拉州等)比干燥地区(如奇瓦瓦州、杜兰戈州或萨卡特卡斯州等)或热带地区(如科利马州、坎佩切州、莫雷洛斯州等)更脆弱。

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