Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA
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 sta...
Gespeichert in:
| Veröffentlicht in: | Environmental science and pollution research international 2021-07, Vol.28 (25), p.32856-32865 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 32865 |
|---|---|
| container_issue | 25 |
| container_start_page | 32856 |
| container_title | Environmental science and pollution research international |
| container_volume | 28 |
| creator | Bilal Bashir, Muhammad Farhan Shahzad, Khurram Komal, Bushra Bashir, Muhammad Adnan Bashir, Madiha Tan, Duojiao Fatima, Tehreem Numan, Umar |
| description | 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, PM
2.5
, 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, PM
2.5
, 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. |
| doi_str_mv | 10.1007/s11356-021-12646-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7906571</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2546405352</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-8e0a0388e7e45eab51fdad4cd46e81563c3208cd86aa17635f0bb860f3e79b6e3</originalsourceid><addsrcrecordid>eNp9kU1vFDEMhiNERZfCH-CAInFtIJl8zXBAqrYFKlXqAco1ymSc3VQzk22SXbX_ntAthV56smy_fm3rQegdox8ZpfpTZoxLRWjDCGuUUOT2BVowxQTRouteogXthCCMC3GIXud8TWlDu0a_Qoecq1qlfIF2Z_MupDhPMBc74putHUO5O8ZuDJMtgMM8BGdLTPkY23nAy8tf56eEdXhTM5iC-1wlOazWJWOf4oRL3GBG8RRzwdZ7cAUGnEv1yjh6XNaAr36cvEEH3o4Z3j7EI3T19ezn8ju5uPx2vjy5IE5oUUgL1FLetqBBSLC9ZH6wg3CDUNAyqbjjDW3d0CprmVZcetr3raKeg-56BfwIfdn7brb9BIOrXyY7mk2q36U7E20wTztzWJtV3BndUSU1qwYfHgxSvNlCLuY6btNcbzaNFEpQyWVTVc1e5VLMOYF_3MCo-cPK7FmZysrcszK3dej9_7c9jvyFUwV8L8i1Na8g_dv9jO1vX06g7g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2546405352</pqid></control><display><type>article</type><title>Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA</title><source>Springer Nature - Complete Springer Journals</source><creator>Bilal ; Bashir, Muhammad Farhan ; Shahzad, Khurram ; Komal, Bushra ; Bashir, Muhammad Adnan ; Bashir, Madiha ; Tan, Duojiao ; Fatima, Tehreem ; Numan, Umar</creator><creatorcontrib>Bilal ; Bashir, Muhammad Farhan ; Shahzad, Khurram ; Komal, Bushra ; Bashir, Muhammad Adnan ; Bashir, Madiha ; Tan, Duojiao ; Fatima, Tehreem ; Numan, Umar</creatorcontrib><description>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, PM
2.5
, 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, PM
2.5
, 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.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-021-12646-x</identifier><identifier>PMID: 33634403</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Climate ; Coronaviruses ; Correlation coefficient ; Correlation coefficients ; COVID-19 ; Earth and Environmental Science ; Ecotoxicology ; Empirical analysis ; Environment ; Environmental Chemistry ; Environmental factors ; Environmental Health ; Environmental quality ; Environmental science ; Humidity ; Indicators ; Medical personnel ; Pandemics ; Particulate matter ; Rainfall ; Research Article ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2021-07, Vol.28 (25), p.32856-32865</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-8e0a0388e7e45eab51fdad4cd46e81563c3208cd86aa17635f0bb860f3e79b6e3</citedby><cites>FETCH-LOGICAL-c474t-8e0a0388e7e45eab51fdad4cd46e81563c3208cd86aa17635f0bb860f3e79b6e3</cites><orcidid>0000-0001-6599-6687 ; 0000-0001-5103-4639</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-021-12646-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-021-12646-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33634403$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bilal</creatorcontrib><creatorcontrib>Bashir, Muhammad Farhan</creatorcontrib><creatorcontrib>Shahzad, Khurram</creatorcontrib><creatorcontrib>Komal, Bushra</creatorcontrib><creatorcontrib>Bashir, Muhammad Adnan</creatorcontrib><creatorcontrib>Bashir, Madiha</creatorcontrib><creatorcontrib>Tan, Duojiao</creatorcontrib><creatorcontrib>Fatima, Tehreem</creatorcontrib><creatorcontrib>Numan, Umar</creatorcontrib><title>Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>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, PM
2.5
, 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, PM
2.5
, 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.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Climate</subject><subject>Coronaviruses</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>COVID-19</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Empirical analysis</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental factors</subject><subject>Environmental Health</subject><subject>Environmental quality</subject><subject>Environmental science</subject><subject>Humidity</subject><subject>Indicators</subject><subject>Medical personnel</subject><subject>Pandemics</subject><subject>Particulate matter</subject><subject>Rainfall</subject><subject>Research Article</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1vFDEMhiNERZfCH-CAInFtIJl8zXBAqrYFKlXqAco1ymSc3VQzk22SXbX_ntAthV56smy_fm3rQegdox8ZpfpTZoxLRWjDCGuUUOT2BVowxQTRouteogXthCCMC3GIXud8TWlDu0a_Qoecq1qlfIF2Z_MupDhPMBc74putHUO5O8ZuDJMtgMM8BGdLTPkY23nAy8tf56eEdXhTM5iC-1wlOazWJWOf4oRL3GBG8RRzwdZ7cAUGnEv1yjh6XNaAr36cvEEH3o4Z3j7EI3T19ezn8ju5uPx2vjy5IE5oUUgL1FLetqBBSLC9ZH6wg3CDUNAyqbjjDW3d0CprmVZcetr3raKeg-56BfwIfdn7brb9BIOrXyY7mk2q36U7E20wTztzWJtV3BndUSU1qwYfHgxSvNlCLuY6btNcbzaNFEpQyWVTVc1e5VLMOYF_3MCo-cPK7FmZysrcszK3dej9_7c9jvyFUwV8L8i1Na8g_dv9jO1vX06g7g</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Bilal</creator><creator>Bashir, Muhammad Farhan</creator><creator>Shahzad, Khurram</creator><creator>Komal, Bushra</creator><creator>Bashir, Muhammad Adnan</creator><creator>Bashir, Madiha</creator><creator>Tan, Duojiao</creator><creator>Fatima, Tehreem</creator><creator>Numan, Umar</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6599-6687</orcidid><orcidid>https://orcid.org/0000-0001-5103-4639</orcidid></search><sort><creationdate>20210701</creationdate><title>Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA</title><author>Bilal ; Bashir, Muhammad Farhan ; Shahzad, Khurram ; Komal, Bushra ; Bashir, Muhammad Adnan ; Bashir, Madiha ; Tan, Duojiao ; Fatima, Tehreem ; Numan, Umar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-8e0a0388e7e45eab51fdad4cd46e81563c3208cd86aa17635f0bb860f3e79b6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Climate</topic><topic>Coronaviruses</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>COVID-19</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Empirical analysis</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental factors</topic><topic>Environmental Health</topic><topic>Environmental quality</topic><topic>Environmental science</topic><topic>Humidity</topic><topic>Indicators</topic><topic>Medical personnel</topic><topic>Pandemics</topic><topic>Particulate matter</topic><topic>Rainfall</topic><topic>Research Article</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bilal</creatorcontrib><creatorcontrib>Bashir, Muhammad Farhan</creatorcontrib><creatorcontrib>Shahzad, Khurram</creatorcontrib><creatorcontrib>Komal, Bushra</creatorcontrib><creatorcontrib>Bashir, Muhammad Adnan</creatorcontrib><creatorcontrib>Bashir, Madiha</creatorcontrib><creatorcontrib>Tan, Duojiao</creatorcontrib><creatorcontrib>Fatima, Tehreem</creatorcontrib><creatorcontrib>Numan, Umar</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bilal</au><au>Bashir, Muhammad Farhan</au><au>Shahzad, Khurram</au><au>Komal, Bushra</au><au>Bashir, Muhammad Adnan</au><au>Bashir, Madiha</au><au>Tan, Duojiao</au><au>Fatima, Tehreem</au><au>Numan, Umar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>28</volume><issue>25</issue><spage>32856</spage><epage>32865</epage><pages>32856-32865</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><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, PM
2.5
, 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, PM
2.5
, 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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33634403</pmid><doi>10.1007/s11356-021-12646-x</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6599-6687</orcidid><orcidid>https://orcid.org/0000-0001-5103-4639</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0944-1344 |
| ispartof | Environmental science and pollution research international, 2021-07, Vol.28 (25), p.32856-32865 |
| issn | 0944-1344 1614-7499 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7906571 |
| source | Springer Nature - Complete Springer Journals |
| subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Climate Coronaviruses Correlation coefficient Correlation coefficients COVID-19 Earth and Environmental Science Ecotoxicology Empirical analysis Environment Environmental Chemistry Environmental factors Environmental Health Environmental quality Environmental science Humidity Indicators Medical personnel Pandemics Particulate matter Rainfall Research Article Waste Water Technology Water Management Water Pollution Control |
| title | Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T17%3A52%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Environmental%20quality,%20climate%20indicators,%20and%20COVID-19%20pandemic:%20insights%20from%20top%2010%20most%20affected%20states%20of%20the%20USA&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Bilal&rft.date=2021-07-01&rft.volume=28&rft.issue=25&rft.spage=32856&rft.epage=32865&rft.pages=32856-32865&rft.issn=0944-1344&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-021-12646-x&rft_dat=%3Cproquest_pubme%3E2546405352%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2546405352&rft_id=info:pmid/33634403&rfr_iscdi=true |