tetano
Editor, Senior Moderator
Epidemiologia (Basel)
. 2021 Jun;2(2):140-161.
doi: 10.3390/epidemiologia2020012. Epub 2021 Apr 1.
Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
David Martínez-Rodríguez[SUP] 1 [/SUP], Gilberto Gonzalez-Parra[SUP] 2 [/SUP], Rafael-J Villanueva[SUP] 1 [/SUP]
Affiliations
Abstract
The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early December of 2020. Currently, there are only a few approved vaccines, each with different efficacies and mechanisms of action. Moreover, vaccination programs in different regions may vary due to differences in implementation, for instance, simply the availability of the vaccine. In this article, we study the impact of the pace of vaccination and the intrinsic efficacy of the vaccine on prevalence, hospitalizations, and deaths related to the SARS-CoV-2 virus. Then we study different potential scenarios regarding the burden of the COVID-19 pandemic in the near future. We construct a compartmental mathematical model and use computational methodologies to study these different scenarios. Thus, we are able to identify some key factors to reach the aims of the vaccination programs. We use some metrics related to the outcomes of the COVID-19 pandemic in order to assess the impact of the efficacy of the vaccine and the pace of the vaccine inoculation. We found that both factors have a high impact on the outcomes. However, the rate of vaccine administration has a higher impact in reducing the burden of the COVID-19 pandemic. This result shows that health institutions need to focus on increasing the vaccine inoculation pace and create awareness in the population about the importance of COVID-19 vaccines.
Keywords: SARS-CoV-2 virus; mathematical modeling; simulation; vaccination.
. 2021 Jun;2(2):140-161.
doi: 10.3390/epidemiologia2020012. Epub 2021 Apr 1.
Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
David Martínez-Rodríguez[SUP] 1 [/SUP], Gilberto Gonzalez-Parra[SUP] 2 [/SUP], Rafael-J Villanueva[SUP] 1 [/SUP]
Affiliations
- PMID: 35141702
- PMCID: PMC8824484
- DOI: 10.3390/epidemiologia2020012
Abstract
The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early December of 2020. Currently, there are only a few approved vaccines, each with different efficacies and mechanisms of action. Moreover, vaccination programs in different regions may vary due to differences in implementation, for instance, simply the availability of the vaccine. In this article, we study the impact of the pace of vaccination and the intrinsic efficacy of the vaccine on prevalence, hospitalizations, and deaths related to the SARS-CoV-2 virus. Then we study different potential scenarios regarding the burden of the COVID-19 pandemic in the near future. We construct a compartmental mathematical model and use computational methodologies to study these different scenarios. Thus, we are able to identify some key factors to reach the aims of the vaccination programs. We use some metrics related to the outcomes of the COVID-19 pandemic in order to assess the impact of the efficacy of the vaccine and the pace of the vaccine inoculation. We found that both factors have a high impact on the outcomes. However, the rate of vaccine administration has a higher impact in reducing the burden of the COVID-19 pandemic. This result shows that health institutions need to focus on increasing the vaccine inoculation pace and create awareness in the population about the importance of COVID-19 vaccines.
Keywords: SARS-CoV-2 virus; mathematical modeling; simulation; vaccination.