Impact of the first booster vaccine against SARS-CoV-2 in Chile

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.

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Publication Details

Journal
Infectious Disease Modelling
Published
2025-12-12
DOI
https://doi.org/10.1016/j.idm.2025.12.009
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
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article

Impact of the first booster vaccine against SARS-CoV-2 in Chile

Paula Uribe, Héctor Ramírez, Pedro Gajardo, Antoine Brault et al.
Infectious Disease Modelling
SARS-CoV-2 and COVID-19 Research
article

Impact of the first booster vaccine against SARS-CoV-2 in Chile

Paula Uribe, Héctor Ramírez, Pedro Gajardo, Antoine Brault, Mauricio Canals, Emilio Molina, Diego Olguín
article en

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.

Infectious Disease ModellingVol. 11(2)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut Pasteur (FR), Université Paris Cité (FR), Instituto de Salud Pública de Chile (CL), Institut National des Sciences Appliquées de Lyon (FR), University of Chile (CL), Federico Santa María Technical University (CL)
Openalex Percentile: Top 53%
SARS-CoV-2 and COVID-19 Research
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Impact of the first booster vaccine against SARS-CoV-2 in Chile — Paula Uribe, Héctor Ramírez, et al. · Infectious Disease Modelling (2025) | TGRS Research Map | TGRS