ArticleInfectious Disease Modelling2021
Hospitalization dynamics during the first COVID-19 pandemic wave: SIR modelling compared to Belgium, France, Italy, Switzerland and New York City data.
Article in Infectious Disease Modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A scoping review of COVID-19 modelling studies in Belgium 2020-2024: incorporation of behaviour and lessons learned.Archives of public health = Archives belges de sante publique · 2026Pooled it
- Was severe SARS-CoV-2 substantially spreading in Northern Italy before its first detection in February 2020? An evaluation of pneumonia-associated hospitalization trends from September 2014 to February 2020.European journal of public health · 2025Article
- A simulation model for predicting hospital occupancy for Covid-19 using archetype analysis.Healthcare analytics (New York, N.Y.) · 2023Article
- Wastewater-based modeling, reconstruction, and prediction for COVID-19 outbreaks in Hungary caused by highly immune evasive variants.Water research · 2023Article
- Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help.Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Determining the rate of infectious disease testing through contagion potential.PLOS global public health · 2023Article
- The Trade-Off between Airborne Pandemic Control and Energy Consumption Using Air Ventilation Solutions.Sensors (Basel, Switzerland) · 2022Article
- Disparities in demand for COVID-19 hospital care in the United States: Insights from a longitudinal hierarchical study.Health science reports · 2022Article
- Network-based prediction of COVID-19 epidemic spreading in Italy.Applied network science · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
Using the classical Susceptible-Infected-Recovered epidemiological model, an analytical formula is derived for the number of beds occupied by Covid-19 patients. The analytical curve is fitted to data in Belgium, France, New York City and Switzerland, with a correlation coefficient exceeding 98.8%, suggesting that finer models are unnecessary with such macroscopic data. The fitting is used to extract estimates of the doubling time in the ascending phase of the epidemic, the mean recovery time and, for those who require medical intervention, the mean hospitalization time. Large variations can be observed among different outbreaks.
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