Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study

The COVID-19 outbreak is ongoing in China. Here, Boltzmann function-based analyses reveal the potential total numbers of COVID-19 deaths: 3,260 (95% confidence interval [CI], 3187–3394) in China; 110 (95% CI, 109–112) in Hubei Province; 3,174 (95% CI, 3095–3270) outside Hubei; 2,550 (95% CI, 2494–26...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Yuanyuan, Zhang, Zuqin, Yao, Wei, Ying, Qi, Long, Cheng, Fu, Xinmiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Concise Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163192/
https://www.ncbi.nlm.nih.gov/pubmed/32238216
http://dx.doi.org/10.1017/ice.2020.101
_version_ 1783523169930313728
author Gao, Yuanyuan
Zhang, Zuqin
Yao, Wei
Ying, Qi
Long, Cheng
Fu, Xinmiao
author_facet Gao, Yuanyuan
Zhang, Zuqin
Yao, Wei
Ying, Qi
Long, Cheng
Fu, Xinmiao
author_sort Gao, Yuanyuan
collection PubMed
description The COVID-19 outbreak is ongoing in China. Here, Boltzmann function-based analyses reveal the potential total numbers of COVID-19 deaths: 3,260 (95% confidence interval [CI], 3187–3394) in China; 110 (95% CI, 109–112) in Hubei Province; 3,174 (95% CI, 3095–3270) outside Hubei; 2,550 (95% CI, 2494–2621) in Wuhan City; and 617 (95% CI, 607–632) outside Wuhan.
format Online
Article
Text
id pubmed-7163192
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-71631922020-04-17 Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study Gao, Yuanyuan Zhang, Zuqin Yao, Wei Ying, Qi Long, Cheng Fu, Xinmiao Infect Control Hosp Epidemiol Concise Communication The COVID-19 outbreak is ongoing in China. Here, Boltzmann function-based analyses reveal the potential total numbers of COVID-19 deaths: 3,260 (95% confidence interval [CI], 3187–3394) in China; 110 (95% CI, 109–112) in Hubei Province; 3,174 (95% CI, 3095–3270) outside Hubei; 2,550 (95% CI, 2494–2621) in Wuhan City; and 617 (95% CI, 607–632) outside Wuhan. Cambridge University Press 2020-04-02 /pmc/articles/PMC7163192/ /pubmed/32238216 http://dx.doi.org/10.1017/ice.2020.101 Text en © The Society for Healthcare Epidemiology of America 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Concise Communication
Gao, Yuanyuan
Zhang, Zuqin
Yao, Wei
Ying, Qi
Long, Cheng
Fu, Xinmiao
Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
title Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
title_full Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
title_fullStr Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
title_full_unstemmed Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
title_short Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
title_sort forecasting the cumulative number of covid-19 deaths in china: a boltzmann function-based modeling study
topic Concise Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163192/
https://www.ncbi.nlm.nih.gov/pubmed/32238216
http://dx.doi.org/10.1017/ice.2020.101
work_keys_str_mv AT gaoyuanyuan forecastingthecumulativenumberofcovid19deathsinchinaaboltzmannfunctionbasedmodelingstudy
AT zhangzuqin forecastingthecumulativenumberofcovid19deathsinchinaaboltzmannfunctionbasedmodelingstudy
AT yaowei forecastingthecumulativenumberofcovid19deathsinchinaaboltzmannfunctionbasedmodelingstudy
AT yingqi forecastingthecumulativenumberofcovid19deathsinchinaaboltzmannfunctionbasedmodelingstudy
AT longcheng forecastingthecumulativenumberofcovid19deathsinchinaaboltzmannfunctionbasedmodelingstudy
AT fuxinmiao forecastingthecumulativenumberofcovid19deathsinchinaaboltzmannfunctionbasedmodelingstudy

Ejemplares similares