Modelling the Impact of Delaying Vaccination Against SARS-CoV-2 Assuming Unlimited Vaccines Supply

Author:

Amaku Marcos,Covas Dimas Tadeu,Bezerra Coutinho Francisco Antonio,Azevedo Raymundo Soares,Massad EduardoORCID

Abstract

AbstractBackgroundAt the moment we have more than 109 million cases and 2.4 million deaths around the world and vaccination represents the only hope to control the pandemic. Imperfections in planning vaccine acquisition and difficulties in implementing distribution among the population, however, have hampered the control of the virus so far.MethodsWe propose a new mathematical model to estimate the impact of vaccination delay against COVID-19 on the number of cases and deaths by the disease in Brazil. We apply the model to Brazil as a whole and to the State of Sao Paulo, the most affected by COVID-19 in Brazil. We simulated the model for the populations of the State of Sao Paulo and Brazil as a whole, varying the scenarios related to vaccine efficacy and compliance from the populations.ResultsThe model projects that, in the absence of vaccination, almost 170 thousand deaths and more than 350 thousand deaths until the end of 2021 for Sao Paulo and Brazil, respectively. If in contrast, Sao Paulo and Brazil had enough vaccine supply and so started a vaccination campaign in January with the maximum vaccination rate, compliance and efficacy, they could have averted more than 112 thousand deaths and 127 thousand deaths, respectively. In addition, that for each month of delay the number of deaths increases monotonically in a logarithm fashion, for both the State of Sao Paulo and Brazil as a whole.ConclusionsOur model shows that the current delay in the vaccination schedules that is observed in many countries has serious consequences in terms of mortality by the disease and should serve as an alert to health authorities to speed the process up such that the highest number of people to be immunized is reached in the shortest period of time.

Publisher

Cold Spring Harbor Laboratory

Reference21 articles.

1. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/covid-19-vaccines. Accessed 18 February 2021.

2. https://ourworldindata.org/covid-vaccinations. Accessed 18 February 2021.

3. https://www.bloomberg.com/graphics/covid-vaccine-tracker-global-distribution/. Accessed 18 February 2021.

4. https://www.bloomberg.com/graphics/covid-vaccine-tracker-global-distribution/. Accessed 18 February 2021.

5. Medical Evidence Related to English Population Changes in the Eighteenth Century

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