高空气湿度天气条件下城市中COVID-19的传播:从土耳其黑海地区吸取的经验教训,以应对下一次大流行危机

COVID Pub Date : 2023-10-29 DOI:10.3390/covid3110113
Aytac Perihan Akan, Mario Coccia
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引用次数: 0

摘要

本研究的目的是分析土耳其黑海地区城市的COVID-19传播与气象指标之间的关系,特别是在最潮湿的地区,降雨量过多,雾反复出现。具体来说,工作假设是,新型冠状病毒SARS-CoV-2(导致空气传播疾病COVID-19)在城市的广泛传播可以用特定的天气条件,即高空气湿度来解释。总体而言,这里的统计证据似乎并不支持这样的假设,即所研究城市的COVID-19加速传播可以用高湿度来解释,因为不同的气象、环境、人口和社会经济因素在被调查地区的疾病传播动态中也起着关键作用。我们的研究结果的主要含义是,在设计有效的国家和区域大流行计划时,应通过系统的方法考虑人口结构、气候指标、卫生系统组织和环境因素(例如空气污染等),这些计划旨在实施卫生政策,以应对COVID-19的新变种和/或新的空气传播疾病,以减少它们对健康的负面影响。社会和经济制度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transmission of COVID-19 in Cities with Weather Conditions of High Air Humidity: Lessons Learned from Turkish Black Sea Region to Face Next Pandemic Crisis
The goal of this study is to analyze associations between COVID-19 transmission and meteorological indicators in cities of the Black Sea region of Turkey, located specifically in the dampest area, with excess rainfall and recurring fog. In particular, the working hypothesis is that the widespread transmission of new coronavirus SARS-CoV-2 (leading to the airborne disease COVID-19) in cities can be explained by specific weather conditions, namely high levels of air humidity. Statistical evidence here does not seem, in general, to support the hypothesis that the accelerated transmission of COVID-19 in the studied cities can be explained by high levels of humidity because different meteorological, environmental, demographic, and socioeconomic factors also plays a critical role in the disease transmission dynamics of the investigated region. The main implications of our findings here are that the demographic structure of the population, climate indicators, organization of the health system, and environmental factors (e.g., air pollution, etc.) should be considered through a systemic approach when designing effective national and regional pandemic plans directed to implement health policies for facing new variants of COVID-19 and/or new airborne diseases, in order to reduce their negative effects on health, social and economic systems.
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