Impact of the first booster vaccine against SARS-CoV-2 in Chile
Year: 2025
Type: article
Abstract: The present paper proposes a novel methodology for evaluating the impact of a vaccination plan against a transmissible disease. The methodology has two distinct stages. The initial stage comprises a compartmental model that describes the transmission of the disease within the population. This model is composed of fundamental parts representing the vaccination status and is used in this initial stage to estimate the number of cases and deaths averted by the vaccination plan. The case dynamics generated by the compartmental model serve as the input for a data-driven model in the second part of the methodology. The second model is statistical in nature and provides additional information regarding the number of hospitalizations and ICU admissions averted. This methodology is applied to assess the impact of booster SARS-CoV-2 vaccines in Chile, resulting in an estimation of 84 % (95 % confidence interval (CI): 74 %-92 %) of cases, 73 % (95 % CI: 57 %, 80 %) of hospital admissions, 77 % (95 % CI: 61 %, 84 %) of intensive care unit admissions, and 78 % (95 % CI: 62 %-85 %) of deaths averted between August 16 and December 31, 2021.
Source: Infectious Disease Modelling
Authors: Emilio Molina, Diego Olguín, Antoine Brault, Paula Uribe, Pedro Gajardo, Mauricio Canals, Héctor Ramírez
Institutions: Lyon 1 Université, Centre National de la Recherche Scientifique, Inserm, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé, Institut National des Sciences Appliquées de Lyon, Center for Mathematical Modeling, University of Chile, Institut Pasteur, Université Paris Cité, Génomique évolutive, modélisation et santé, Universidad Técnica Federico Santa María
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,100
OpenAlex ID: W4417279452
