Environmental Forensics ( IF 1.5 ) Pub Date : 2021-07-09 , DOI: 10.1080/15275922.2021.1940380 Khurram Shahzad 1 , Taimoor Hassan Farooq 2 , Buhari Doğan 3 , Li Zhong Hu 4 , Umer Shahzad 5
Abstract
The coronavirus pandemic has infected more than 100 million people worldwide with COVID-19, with millions of deaths across the globe. In this research, we explored the effects of environmental and weather variables with daily COVID-19 cases and COVID-19 fatalities in Istanbul, Turkey. Turkey has the 8th highest number of COVID-19 cases globally, with the highest infections and deaths in Istanbul. This may be the first study to conduct a comprehensive investigation for environmental quality (air quality pollutants, e.g., PM2.5 and PM10, ozone, nitrogen dioxide, sulfur dioxide, carbon monoxide, etc.), weather parameters (temperature, humidity) and COVID-19 in Turkey. The authors collected meteorological data from 11 March 2020 to 8 February 2021 and COVID-19 data from Istanbul and other regions. The results from empirical estimations, correlation analysis, and quantile on quantile techniques support that air quality and temperature significantly influence COVID-19 deaths in Istanbul. This research may help policymakers and health scientists to take specific measures to reduce the spread of coronavirus across different global cities.
The effects of air quality on COVID-19 in Istanbul was investigated.
The study applied correlation and quantile on quantile techniques over daily data.
Temperature significantly induces the spread of COVID-19 in Istanbul at all quantiles.
Air quality and Nitrogen are positively linked with COVID-19 new cases.
中文翻译:
环境质量和天气是否会诱发 COVID-19:土耳其伊斯坦布尔的案例研究
摘要
冠状病毒大流行已使全球 1 亿多人感染了 COVID-19,全球有数百万人死亡。在这项研究中,我们探索了环境和天气变量对土耳其伊斯坦布尔每日 COVID-19 病例和 COVID-19 死亡人数的影响。土耳其的 COVID-19 病例数在全球排名第八,伊斯坦布尔的感染和死亡人数最高。这可能是第一个对环境质量(空气质量污染物,如PM2.5和PM10、臭氧、二氧化氮、二氧化硫、一氧化碳等)、天气参数(温度、湿度)和土耳其的 COVID-19。作者收集了 2020 年 3 月 11 日至 2021 年 2 月 8 日的气象数据以及伊斯坦布尔和其他地区的 COVID-19 数据。经验估计的结果,相关分析和分位数技术支持空气质量和温度显着影响伊斯坦布尔的 COVID-19 死亡。这项研究可能有助于政策制定者和卫生科学家采取具体措施来减少冠状病毒在全球不同城市的传播。
调查了伊斯坦布尔空气质量对 COVID-19 的影响。
该研究将相关性和分位数应用于日常数据的分位数技术。
温度显着导致 COVID-19 在伊斯坦布尔所有分位数的传播。
空气质量和氮气与 COVID-19 新病例呈正相关。