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Assessing the ambient air quality patterns associated to the COVID-19 outbreak in the Yangtze River Delta: A random forest approach.
Hasnain, Ahmad; Sheng, Yehua; Hashmi, Muhammad Zaffar; Bhatti, Uzair Aslam; Ahmed, Zulkifl; Zha, Yong.
Affiliation
  • Hasnain A; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China; School of Geography, Nanjing Normal University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information, Resource Development and Applicat
  • Sheng Y; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China; School of Geography, Nanjing Normal University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information, Resource Development and Applicat
  • Hashmi MZ; Department of Chemistry, COMSATS University Islamabad, Pakistan. Electronic address: zaffar.hashmi@comsats.edu.pk.
  • Bhatti UA; School of Information and Communication Engineering, Hainan University, Haikou, China.
  • Ahmed Z; Department of Civil Technology, Mir Chakar Khan Rind University of Technology, DG Khan 32200, Pakistan.
  • Zha Y; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China; School of Geography, Nanjing Normal University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information, Resource Development and Applicat
Chemosphere ; 314: 137638, 2023 Feb.
Article in En | MEDLINE | ID: mdl-36565760
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Chemosphere Year: 2023 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Chemosphere Year: 2023 Document type: Article Country of publication: