Literature DB >> 34024000

Effect of meteorological factors and Air Quality Index on the COVID-19 epidemiological characteristics: an ecological study among 210 countries.

Mohebat Vali1, Jafar Hassanzadeh2, Alireza Mirahmadizadeh3, Mohammad Hoseini4, Samaneh Dehghani5, Zahra Maleki1, Fabiola Méndez-Arriaga6, Haleh Ghaem7.   

Abstract

The survival of COVID-19 in different environments may be affected by a variety of weather, pollution, and seasonal parameters. Therefore, the present study aims to conduct an ecological investigation on COVID-19 average growth rate of daily cases and deaths influenced by environmental factors (temperature, humidity, and air pollution) using a sample size of adjusted cumulative incidence of daily cases and deaths based on five 60-day periods. Research data was gathered on official websites, including information on COVID-19, meteorological data, and air pollution indicators from December 31, 2019, to October 12, 2020, from 210 countries. Spearman correlation and generalized additive model (GAM) were used to analyze the data. During the observed period, the COVID-19 average growth rate of daily cases (r = -0.08, P =0.151) and deaths (r= -0.09, P = 0.207) were not correlated with humidity. Also, there was a negative relationship between the COVID-19 average growth rate of new cases and deaths with the Air Quality Index (AQI) and wind (new cases and wind: r=-0.25, P= 0.04). Furthermore, the data related to the first and second 60 day of the adjusted cumulative incidence of COVID-19 daily cases and deaths were not associated with humidity and Air Quality Index (AQI). The result of GAM showed the effect of AQI on the average growth rate of COVID-19 new cases and deaths. This study provides evidence for a positive relationship between COVID-19 daily cases, deaths, and AQI.

Entities:  

Keywords:  Air pollution; COVID-19; Humidity; Meteorological concepts

Year:  2021        PMID: 34024000     DOI: 10.1007/s11356-021-14322-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Correlating the trends of COVID-19 spread and air quality during lockdowns in Tier-I and Tier-II cities of India-lessons learnt and futuristic strategies.

Authors:  Mangottiri Vasudevan; Narayanan Natarajan; Sugashini Masillamani Selvi; Kesavan Ravikumar; Arun Dharshini Rajendran; Anushya Banu Bagavathi
Journal:  Environ Sci Pollut Res Int       Date:  2021-09-21       Impact factor: 5.190

2.  PM2.5 Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model.

Authors:  Hang Zhang; Yong Liu; Dongyang Yang; Guanpeng Dong
Journal:  Int J Environ Res Public Health       Date:  2022-08-30       Impact factor: 4.614

  2 in total

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