Literature DB >> 33634403

Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA.

Muhammad Farhan Bashir1, Khurram Shahzad2, Bushra Komal3, Muhammad Adnan Bashir4, Madiha Bashir5, Duojiao Tan6, Tehreem Fatima7, Umar Numan8.   

Abstract

In the current context of the COVID-19 pandemic, researchers are working with health professionals to inform governments on how to formulate health strategies. In this study, we examine the correlation between environmental and climate indicators and COVID-19 outbreak in the top 10 most affected states of the USA. In doing so, PM2.5, temperature, humidity, environmental quality index, and rainfall are included as crucial meteorological and environmental factors. Kendall and Spearman rank correlation coefficients, quantile regression, and log-linear negative binominal analysis are employed as an estimation strategy. The empirical estimates conclude that temperature, humidity, environmental quality index, PM2.5, and rainfall are significant factors related to the COVID-19 pandemic in the top 10 most affected states of the USA. The empirical findings of the current study would serve as key policy input to mitigate the rapid spread of COVID-19 across the USA.

Entities:  

Keywords:  COVID-19; Coronavirus; Environmental quality index; PM2.5; Temperature

Year:  2021        PMID: 33634403     DOI: 10.1007/s11356-021-12646-x

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


  13 in total

1.  On the Frontline-A bibliometric Study on Sustainability, Development, Coronaviruses, and COVID-19.

Authors:  Andrea Gatto; Carlo Drago; Matteo Ruggeri
Journal:  Environ Sci Pollut Res Int       Date:  2022-03-06       Impact factor: 4.223

Review 2.  Exploring the Deep-Learning Techniques in Detecting the Presence of Coronavirus in the Chest X-Ray Images: A Comprehensive Review.

Authors:  K Silpaja Chandrasekar
Journal:  Arch Comput Methods Eng       Date:  2022-05-23       Impact factor: 8.171

3.  Effect of ambient air pollution and meteorological factors on the potential transmission of COVID-19 in Turkey.

Authors:  Nur H Orak
Journal:  Environ Res       Date:  2022-06-07       Impact factor: 8.431

4.  Do environmental pollutants carrier to COVID-19 pandemic? A cross-sectional analysis.

Authors:  Salman Shamsi; Khalid Zaman; Bushra Usman; Abdelmohsen A Nassani; Mohamed Haffar; Muhammad Moinuddin Qazi Abro
Journal:  Environ Sci Pollut Res Int       Date:  2021-10-20       Impact factor: 5.190

5.  Geographically weighted regression model for physical, social, and economic factors affecting the COVID-19 pandemic spreading.

Authors:  Ihsan Abbas Jasim; Moheb Kamil Fileeh; Mustafa A Ebrahhem; Laheab A Al-Maliki; Sohaib K Al-Mamoori; Nadhir Al-Ansari
Journal:  Environ Sci Pollut Res Int       Date:  2022-03-04       Impact factor: 5.190

6.  Impact of air temperature and containment measures on mitigating the intrahousehold transmission of SARS-CoV-2: a data-based modelling analysis.

Authors:  Di Liu; Qidong Tai; Yaping Wang; Miao Pu; Lei Zhang; Bo Su
Journal:  BMJ Open       Date:  2022-04-08       Impact factor: 2.692

7.  Evaluation of the effects of meteorological factors on COVID-19 prevalence by the distributed lag nonlinear model.

Authors:  Hongjing Ai; Rongfang Nie; Xiaosheng Wang
Journal:  J Transl Med       Date:  2022-04-11       Impact factor: 5.531

8.  Artificial Intelligence to Combat the Sting of the Pandemic on the Psychological Realms of Human Brain.

Authors:  Mary Fabiola Sagayaraj; Ignisha Rajathi George; R Vedhapriyavadhana; L R Priya
Journal:  SN Comput Sci       Date:  2022-03-07

9.  Long-term statistical assessment of meteorological indicators and COVID-19 outbreak in hot and arid climate, Bahrain.

Authors:  Adeb Qaid; Muhammad Farhan Bashir; Dilshan Remaz Ossen; Khurram Shahzad
Journal:  Environ Sci Pollut Res Int       Date:  2021-08-04       Impact factor: 5.190

10.  The impact of air pollution on COVID-19 pandemic varied within different cities in South America using different models.

Authors:  Haining Huang; Congtian Lin; Xiaobo Liu; Liting Zhu; Ricardo David Avellán-Llaguno; Mauricio Manuel Llaguno Lazo; Xiaoyan Ai; Qiansheng Huang
Journal:  Environ Sci Pollut Res Int       Date:  2021-07-31       Impact factor: 4.223

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