Machine Learning-Aided Causal Inference Framework for Environmental Data Analysis: A COVID-19 Case Study-Reference-Cited by-同舟云学术

Machine Learning-Aided Causal Inference Framework for Environmental Data Analysis: A COVID-19 Case Study

Published:2021-09-24 Issue: Volume: Page:
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Kang Qiao¹^ORCID,Song Xing¹^ORCID,Xin Xiaying¹,Chen Bing¹^ORCID,Chen Yuanzhu²,Ye Xudong¹,Zhang Baiyu¹

Affiliation:

1. Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s A1B 3X5, Newfoundland and Labrador, Canada

2. School of Computing, Queen’s University, Kingston K7L 2N8, Ontario, Canada

Funder

Canada Foundation for Innovation

Natural Sciences and Engineering Research Council of Canada

Chinese Scholarship Council

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c02204

Reference96 articles.

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4. Thompson, N. More contagious U.K. COVID-19 variant now found in all 10 provinces. https://globalnews.ca/news/7640125/coronavirus-canada-update-feb-13/.(accessed 02 03, 2021).

5. O’Toole, Á.; Hill, V.; Pybus, O.; Watts, A.; Bogoch, I. Tracking the International Spread of SARS-CoV-2 Lineages B.1.1.7 and B.1.351/501Y-V2. https://virological.org/t/tracking-the-international-spread-of-sars-cov-2-lineages-b-1-1-7-and-b-1-351-501y-v2/592.(accessed 02 03, 2021).

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