Influence of important environmental parameters on the spread and severity of COVID-19: Part 1

V. Tiwari, N. Sharma
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Abstract

In the absence of the detailed COVID-19 epidemiological data or large benchmark studies, an effort has been made to explore and correlate the relation of parameters like environment, economic indicators, and the large scale exposure of different prevalent diseases, with COVID-19 spread and severity amongst the different countries affected by COVID-19. Data for environmental, socio-economic and others important infectious diseases were collected from reliable and open source resources like World Health Organization, World Bank, etc. Further, this large data set is utilized to understand the COVID-19 worldwide spread using simple statistical tools. Important observations that are made in this study are the high degree of resemblance in the pattern of temperature and humidity distribution among the cities severely affected by COVID-19. Further, It is surprising to see that in spite of the presence of many environmental parameters that are considered favorable (like clean air, clean water, EPI, etc.), many countries are suffering with the severe consequences of this disease. Lastly a noticeable segregation among the locations affected by different prevalent diseases (like Malaria, HIV, Tuberculosis, and Cholera) was also observed. Among the considered environmental factors, temperature, humidity and EPI should be an important parameter in understanding and modelling COVID-19 spreads. Further, contrary to intuition, countries with strong economies, good health infrastructure and cleaner environment suffered disproportionately higher with the severity of this disease. Therefore, policymaker should sincerely review their country preparedness toward the potential future contagious diseases, weather natural or manmade.
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重要环境参数对COVID-19传播和严重程度的影响:第一部分
在缺乏详细的COVID-19流行病学数据或大型基准研究的情况下,我们试图探索环境、经济指标和不同流行疾病的大规模暴露等参数与COVID-19在不同受影响国家的传播和严重程度之间的关系。环境、社会经济和其他重要传染病的数据是从世界卫生组织、世界银行等可靠和开放来源的资源中收集的。此外,利用这一大型数据集,使用简单的统计工具了解COVID-19在全球的传播情况。本研究的重要观察结果是,受COVID-19严重影响的城市之间的温度和湿度分布模式高度相似。此外,令人惊讶的是,尽管存在许多被认为有利的环境参数(如清洁的空气、清洁的水、扩大免疫方案等),但许多国家正在遭受这种疾病的严重后果。最后,还观察到受不同流行疾病(如疟疾、艾滋病毒、结核病和霍乱)影响的地区之间存在明显的隔离。在考虑的环境因素中,温度、湿度和EPI应该是理解和模拟COVID-19传播的重要参数。此外,与直觉相反,经济强劲、卫生基础设施良好和环境更清洁的国家,这种疾病的严重程度要高得多。因此,决策者应该真诚地审查他们的国家对未来潜在的传染病的准备情况,无论是自然的还是人为的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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