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Association between ambient temperature and Covid-19 infection in 122 cities from China

Bibliographic Data

ID23323640
AuthorsJingui Xie (0000-0003-4100-2339, University of Science and Technology of China), Yongjian Zhu (0000-0001-8758-4720, University of Science and Technology of China, corresponding author)
Year2020
Volume724
Pages138201
Publication date2020-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Science of The Total Environment (JOURNAL)
Journal identifiersISSN: 0048-9697 • E-ISSN: 1879-1026
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scitotenv.2020.138201
PMID32408450
OpenAlexW3013371964
LanguageEN
Citations received92
References cited28

2019-20 coronavirus outbreak · Atmospheric sciences · Biology · Climate change · Coronavirus · Coronavirus disease 2019 (COVID-19) · Disease · Generalized additive model · Geography · Geometric mean · Infectious disease (medical specialty) · Linear regression · Linear relationship · Mean radiant temperature · Meteorology · Outbreak · Physics · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) · Statistics · Climate Change and Health Impacts · COVID-19 epidemiological studies · COVID-19 impact on air quality · Demography · Epidemiology · Internal Medicine · Mathematics · Medicine · Virology

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Unique citing works92
Citations per year15,33
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 80

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