ArticleInfectious Disease Modelling2022
Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model.
Article in Infectious Disease Modelling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review.Systematic reviews · 2024Pooled it
- The impact of non-pharmaceutical interventions on COVID-19 transmission and its effect on life expectancy in two European regions.BMC public health · 2025Article
- A vaccination-based COVID-19 model: Analysis and prediction using Hamiltonian Monte Carlo.Heliyon · 2024Article
- A Physics-Informed Neural Network approach for compartmental epidemiological models.PLoS computational biology · 2024Article
- Assessing the dynamics and impact of COVID-19 vaccination on disease spread: A data-driven approach.Infectious Disease Modelling · 2024Article
- Cost-effectiveness analysis of COVID-19 intervention policies using a mathematical model: an optimal control approach.Scientific reports · 2024Article
- Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out: An application to the Italian scenario.Infectious Disease Modelling · 2023Article
- Kalman-based compartmental estimation for covid-19 pandemic using advanced epidemic model.Biomedical signal processing and control · 2023Article
- Mathematical Modeling Evaluates How Vaccinations Affected the Course of COVID-19 Disease Progression.Vaccines · 2023Article
- Extended compartmental model for modeling COVID-19 epidemic in Slovenia.Scientific reports · 2022Article
- Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study.Journal of the Royal Society, Interface · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several epidemiological models have been proposed to study the evolution of COVID-19 pandemic. In this paper, we propose an extension of the SUIHTER model, to analyse the COVID-19 spreading in Italy, which accounts for the vaccination campaign and the presence of new variants when they become dominant. In particular, the specific features of the variants (e.g. their increased transmission rate) and vaccines (e.g. their efficacy to prevent transmission, hospitalization and death) are modeled, based on clinical evidence. The new model is validated comparing its near-future forecast capabilities with other epidemiological models and exploring different scenario analyses.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.