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. 2023 May 11;18(5):e0285466.
doi: 10.1371/journal.pone.0285466. eCollection 2023.

Time-dependent vaccine efficacy estimation quantified by a mathematical model

Affiliations

Time-dependent vaccine efficacy estimation quantified by a mathematical model

Jennifer Loria et al. PLoS One. .

Abstract

In this paper we calculate the variation of the estimated vaccine efficacy (VE) due to the time-dependent force of infection resulting from the difference between the moment the Clinical Trial (CT) begins and the peak in the outbreak intensity. Using a simple mathematical model we tested the hypothesis that the time difference between the moment the CT begins and the peak in the outbreak intensity determines substantially different values for VE. We exemplify the method with the case of the VE efficacy estimation for one of the vaccines against the new coronavirus SARS-CoV-2.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Schematic representation of the epidemiological model representing its different compartments.
Fig 2
Fig 2. Force of infection in the city of Santos, Southeast Region of Brazil, modeled as a Gaussian function.
Fig 3
Fig 3. The cohort’s burden of infection during the clinical trial that begins at t = 0.
Fig 4
Fig 4. Evolution of the vaccine efficacy as a function of the disease outbreak peak when the vaccine and the placebo inoculation start at tv = tp = 0.
Fig 5
Fig 5. Evolution of the vaccine efficacy as a function of the disease outbreak peak (τ) when the vaccine inoculation starts at tv = 0 and the placebo inoculation starts at tp = 0, 5, 10, and 15 days.
The quantity τ is the time delay in days from the clinical trial launch (which is set to t = 0) to the outbreak peak.
Fig 6
Fig 6. Evolution of the vaccine efficacy as a function of the disease outbreak peak (τ) when the vaccine inoculation starts at tv = 10 and the placebo inoculation starts at tp = 0, 5, 10, and 15 days.
The quantity τ is the time delay in days from the clinical trial launch (which is set to t = 0) to the outbreak peak.
Fig 7
Fig 7. Evolution of the vaccine efficacy as a function of the disease outbreak peak (τ) when the vaccine inoculation starts at tv = 15 and the placebo inoculation starts at tp = 10, 15, 20, and 25 days.
The quantity τ is the time delay in days from the clinical trial launch (which is set to t = 0) to the outbreak peak.
Fig 8
Fig 8. The cohort’s infection burden during the clinical trial.
Fig 9
Fig 9. Evolution of the vaccine efficacy as a function of the disease outbreak peak when the vaccine and the placebo inoculation start at tv = tp = 0.
The clinical trial ends at the first day when the total number of infected individuals inoculated with the vaccine and the placebo reached at least 200.
Fig 10
Fig 10. Evolution of the vaccine efficacy as a function of the disease outbreak peak when the peak in the vaccine and the placebo inoculation are at Tv = Tp = 0 and the clinical trial ends at the first day when the total number of infected individuals inoculated with the vaccine and the placebo reached at least 200.
The placebo and vaccine daily inoculation follows the Gaussian function in Eq (19).
Fig 11
Fig 11. Evolution of the vaccine efficacy as a function of the disease outbreak peak when the peak of the vaccine and the placebo inoculation are at Tv = 0 and Tp = 10, respectively, and the clinical trial ends at the first day when the total number of infected individuals inoculated with the vaccine and the placebo reached at least 200.
The placebo and vaccine daily inoculation follows the Gaussian function in Eq (19).
Fig 12
Fig 12. Evolution of the vaccine efficacy as a function of the disease outbreak peak when the peak of the vaccine and the placebo inoculation are at Tv = 10 and Tp = 0, respectively, and the clinical trial ends at the first day when the total number of infected individuals inoculated with the vaccine and the placebo reached at least 200.
The placebo and vaccine daily inoculation follows the Gaussian function in Eq (19).
Fig 13
Fig 13. Daily numbers of individuals inoculated with the vaccine and the placebo during the CORONAVAC® trial in Brazil.
The solid line represents a continuous function fitted to the data.

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