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PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID-19) in Asian Countries: A MULTI-Country Generalized Additive Modeling Analysis
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487521/ http://dx.doi.org/10.1016/j.vhri.2020.07.281 |
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author | Chin, Y. He, Z. Yu, S. Huang, J. Zhang, C.J.P. Ming, W.K. |
author_facet | Chin, Y. He, Z. Yu, S. Huang, J. Zhang, C.J.P. Ming, W.K. |
author_sort | Chin, Y. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-7487521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74875212020-09-14 PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID-19) in Asian Countries: A MULTI-Country Generalized Additive Modeling Analysis Chin, Y. He, Z. Yu, S. Huang, J. Zhang, C.J.P. Ming, W.K. Value Health Reg Issues Infectious Diseases - Epidemiology & Public Health Published by Elsevier Inc. 2020-09 2020-09-14 /pmc/articles/PMC7487521/ http://dx.doi.org/10.1016/j.vhri.2020.07.281 Text en Copyright © 2020 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Infectious Diseases - Epidemiology & Public Health Chin, Y. He, Z. Yu, S. Huang, J. Zhang, C.J.P. Ming, W.K. PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID-19) in Asian Countries: A MULTI-Country Generalized Additive Modeling Analysis |
title | PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID-19) in Asian Countries: A MULTI-Country Generalized Additive Modeling Analysis |
title_full | PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID-19) in Asian Countries: A MULTI-Country Generalized Additive Modeling Analysis |
title_fullStr | PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID-19) in Asian Countries: A MULTI-Country Generalized Additive Modeling Analysis |
title_full_unstemmed | PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID-19) in Asian Countries: A MULTI-Country Generalized Additive Modeling Analysis |
title_short | PIN34 Effects of Meteorological Factors on the Daily Domestic New CASES of Coronavirus Disease (COVID-19) in Asian Countries: A MULTI-Country Generalized Additive Modeling Analysis |
title_sort | pin34 effects of meteorological factors on the daily domestic new cases of coronavirus disease (covid-19) in asian countries: a multi-country generalized additive modeling analysis |
topic | Infectious Diseases - Epidemiology & Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487521/ http://dx.doi.org/10.1016/j.vhri.2020.07.281 |
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