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Measuring the impact of COVID-19 vaccination and immunity waning: A modelling study for Portugal.
Caetano, Constantino; Morgado, Maria Luísa; Patrício, Paula; Leite, Andreia; Machado, Ausenda; Torres, André; Pereira, João Freitas; Namorado, Sónia; Sottomayor, Ana; Peralta-Santos, André; Nunes, Baltazar.
  • Caetano C; Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, University of Lisbon, Portugal. Electronic address: constantino.caetano@insa.min-saude.pt.
  • Morgado ML; Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, University of Lisbon, Portugal; Department of Mathematics, University of Trás-os-Montes e Alto Doutor (UTAD), Portugal.
  • Patrício P; Center for Mathematics and Applications (NovaMath), FCT NOVA and Department of Mathematics, Nova School of Science and Technology, Universidade NOVA de Lisboa, Quinta da Torre, Caparica, Portugal.
  • Leite A; NOVA National School of Public Health, Public Health Research Center, Universidade NOVA de Lisboa, Portugal; Comprehensive Health Research Center, Universidade NOVA de Lisboa, Portugal.
  • Machado A; Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; NOVA National School of Public Health, Public Health Research Center, Universidade NOVA de Lisboa, Portugal.
  • Torres A; NOVA National School of Public Health, Public Health Research Center, Universidade NOVA de Lisboa, Portugal.
  • Pereira JF; Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; Department of Mathematics, University of Trás-os-Montes e Alto Doutor (UTAD), Portugal.
  • Namorado S; Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; NOVA National School of Public Health, Public Health Research Center, Universidade NOVA de Lisboa, Portugal; Comprehensive Health Research Center, Universidade NOVA de Lisboa, Portugal.
  • Sottomayor A; Direção de Serviços de Informação e Análise, Direção Geral da Saúde, Lisboa, Portugal.
  • Peralta-Santos A; Direção de Serviços de Informação e Análise, Direção Geral da Saúde, Lisboa, Portugal.
  • Nunes B; Departamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; NOVA National School of Public Health, Public Health Research Center, Universidade NOVA de Lisboa, Portugal; Comprehensive Health Research Center, Universidade NOVA de Lisboa, Portugal.
Vaccine ; 40(49): 7115-7121, 2022 Nov 22.
Article in English | MEDLINE | ID: covidwho-2069775
ABSTRACT
Vaccination strategies to control COVID-19 have been ongoing worldwide since the end of 2020. Understanding their possible effect is key to prevent future disease spread. Using a modelling approach, this study intends to measure the impact of the COVID-19 Portuguese vaccination strategy on the effective reproduction number and explore three scenarios for vaccine effectiveness waning. Namely, the no-immunity-loss, 1-year and 3-years of immunity duration scenarios. We adapted an age-structured SEIR deterministic model and used Portuguese hospitalisation data for the model calibration. Results show that, although the Portuguese vaccination plan had a substantial impact in reducing overall transmission, it might not be sufficient to control disease spread. A significant vaccination coverage of those above 5 years old, a vaccine effectiveness against disease of at least 80% and softer non-pharmaceutical interventions (NPIs), such as mask usage and social distancing, would be necessary to control disease spread in the worst scenario considered. The immunity duration scenario of 1-year displays a resurgence of COVID-19 hospitalisations by the end of 2021, the same is observed in 3-year scenario although with a lower magnitude. The no-immunity-loss scenario presents a low increase in hospitalisations. In both the 1-year and 3-year scenarios, a vaccination boost of those above 65 years old would result in a 53% and 38% peak reduction of non-ICU hospitalisations, respectively. These results suggest that NPIs should not be fully phased-out but instead be combined with a fast booster vaccination strategy to reduce healthcare burden.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Experimental Studies / Observational study Topics: Vaccines Limits: Aged / Child, preschool / Humans Country/Region as subject: Europa Language: English Journal: Vaccine Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Experimental Studies / Observational study Topics: Vaccines Limits: Aged / Child, preschool / Humans Country/Region as subject: Europa Language: English Journal: Vaccine Year: 2022 Document Type: Article