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

Identifieur interne : 003B62 ( Main/Merge ); précédent : 003B61; suivant : 003B63

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

Auteurs : Yuanyuan Gao [République populaire de Chine] ; Zuqin Zhang [République populaire de Chine] ; Wei Yao [République populaire de Chine] ; Qi Ying ; Cheng Long [République populaire de Chine] ; Xinmiao Fu [République populaire de Chine]

Source :

Infection Control and Hospital Epidemiology [ 0899-823X ] ; ????.

RBID : PMC:7163192

Abstract

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.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163192

DOI: 10.1017/ice.2020.101
PubMed: 32238216
PubMed Central: 7163192

Links to Exploration step

PMC:7163192

Le document en format XML

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

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

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Abstract

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