ArticleInfection control and hospital epidemiology2020
Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study.
Article in Infection control and hospital epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A Spreadsheet-Based Short Time Forecasting Method for the COVID-19 Pandemic.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2022Article
- Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect.Chaos, solitons, and fractals · 2021Article
- Systematic review of predictive mathematical models of COVID-19 epidemic.Medical journal, Armed Forces India · 2021Article
- The spatial transmission of SARS-CoV-2 in China under the prevention and control measures at the early outbreak.Archives of public health = Archives belges de sante publique · 2021Article
- Nonlinear models: a case of the COVID-19 confirmed rates in top 8 worst affected countries.Nonlinear dynamics · 2021Article
- Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India.SN computer science · 2021Article
- Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review.Chaos, solitons, and fractals · 2020Article
- Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art.SN computer science · 2020Article
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6 authors.
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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.
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