About: Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions

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scientific article published on 01 March 2020

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) artículu científicu espublizáu en marzu de 2020 (ast) scientific article published on 01 March 2020 (en) im März 2020 veröffentlichter wissenschaftlicher Artikel (de) наукова стаття, опублікована 1 березня 2020 (uk)
publication date	wds:Q91792638-192CA030-B663-4136-B0DE-D8390530A7FC
publication date	2020-03-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q91792638-46514CA5-6457-4C4D-9BD4-C6D9E81E70FD wds:Q91792638-62DED6D0-8A16-42EC-AB7C-8D43D798972B wds:Q91792638-632510CF-4121-4242-8CD5-933D78A6135E wds:Q91792638-84A4EDBB-3099-4CB5-B961-AC18A82FE13D wds:Q91792638-899BEEA6-66C2-4287-A7B0-6D4D9188B181 wds:Q91792638-FF0F8635-E958-4F50-8AE3-4EA55CB5255A
cites work	A pneumonia outbreak associated with a new coronavirus of probable bat origin Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20-28 January 2020 Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China Environmental factors on the SARS epidemic: air temperature, passage of time and multiplicative effect of hospital infection
author name string	wds:Q91792638-1D2FF0B8-84B6-4AD8-A3BF-3BA5571A3EE7 wds:Q91792638-215F6134-4013-438E-8846-8EB5FB98BD7E wds:Q91792638-30A0312A-3A7B-4154-9BD7-25492952F623 wds:Q91792638-38406657-54BE-482C-9C57-6D97CA4B6285 wds:Q91792638-3A04C613-92F2-41CD-AB82-78ADDCA4126D wds:Q91792638-4B1C2C51-B78A-4AAE-9C54-C6F4EF81C906 wds:Q91792638-4C10AC2B-7E5F-4294-AAEB-260FDEBD9282 wds:Q91792638-5F7D5C20-BC2F-412B-A5D6-F26899CD8891 wds:Q91792638-66A09374-9423-4021-BBCE-BF0FC6858954 wds:Q91792638-7675EAF8-3582-4F2E-B25A-5225B4673B2C wds:Q91792638-7D0337EB-E77B-4896-A12C-CE50E4B0641B wds:Q91792638-7EBF898C-333E-4F44-A1A5-D51E71B40518 wds:Q91792638-83FB530F-2929-474B-BE28-E9AE97D6DAD5 wds:Q91792638-8771B615-788D-4897-AF77-C5856C088546 wds:Q91792638-8810F1FF-F9B0-4DD9-BAE9-974943052C2D wds:Q91792638-89B6B31D-5369-4217-BDA3-642591FDCA1B wds:Q91792638-92C40C0A-B506-40F6-9F49-C5FBD0E39C7C wds:Q91792638-9953A4D5-C7ED-44FE-A51B-9CE16FB7D599 wds:Q91792638-9F8F11CA-5B8E-44CB-9A74-5E589907C863 wds:Q91792638-B9981CC9-CD32-4B00-9DDD-8DD49C6FDDD1 wds:Q91792638-C725A0BB-3952-4856-A608-73ECE05DE494 wds:Q91792638-D84C7D04-AC8E-4030-B013-E25047500126 wds:Q91792638-F0A99B2D-E765-4349-8A50-BE0BD54AAB3E wds:Q91792638-F3D4B124-966E-4AF3-BDA5-CBFF36C5AB7B wds:Q91792638-FC03DB97-683E-4126-A627-39790CB8C84A wds:Q91792638-FEA1A33E-E5DF-4C71-9667-D8FE1EB01E5A
author name string	Xiaoqing Liu Yimin Li Bin Liu Peng Liu Feng Ye Ke Wang Yifan Yang Fei Li Mark Zanin Sook-San Wong Weijie Guan Yaonan Wang Shaobo Zhang Nanshan Zhong Jianxing He Wenhua Liang Zifeng Yang Xudong Cao Shiyue Li Jingyi Liang Yuqi Xie Zhoulang Wang Zhiqi Zeng Shengmei Luo Zhitong Mai Zhongqiang Gao
rdfs:label	Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions (en) Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions (nl)
skos:prefLabel	Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions (en) Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions (nl)
name	Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions (en) Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions (nl)
title	wds:Q91792638-782B11CA-7A3F-4557-9203-BE51148B91E4
title	Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions (en)
page(s)	wds:Q91792638-F67B0A71-B4D2-4A14-96FC-A75CB5AC56C3
page(s)	165-174
instance of	wds:Q91792638-24E5842B-6B7F-4EA0-BF29-D770DDC2886B
instance of	scholarly article
main subject	wds:Q91792638-4C718964-5B1E-4782-B92B-84DAA3451C94 wds:Q91792638-BBD74933-0AF5-45ED-BFB1-7425F24ED7FB
main subject	SARS-CoV-2 COVID-19 mortality
PubMed ID	wds:Q91792638-82E7E744-0EC3-429E-AE6A-DA0BAF3A2453
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/32274081
PubMed ID	32274081
published in	wds:Q91792638-A9BFB90B-69FD-444D-AA57-4EE665F546B1
published in	Journal of thoracic disease
issue	wds:Q91792638-92BA1D14-184B-4AC5-922A-224F002ABE1A
volume	wds:Q91792638-556B9E54-F7D0-4064-980E-1F38EF45B839
issue	3
volume	12
DOI	wds:Q91792638-45B02B03-C191-4431-8363-4193A2DD48EC
DOI	http://dx.doi.org/10.21037/JTD.2020.02.64
DOI	10.21037/JTD.2020.02.64

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