1,013
Views
0
CrossRef citations to date
0
Altmetric
Original Research

Modelling the Potential Public Health Impact of Different COVID-19 Vaccination Strategies with an Adapted Vaccine in Singapore

, , , , , , , , & show all
Pages 16-26 | Received 10 Nov 2023, Accepted 30 Nov 2023, Published online: 12 Dec 2023

Figures & data

Figure 1. Model structure combining (a) Markov cohort model and (b) decision tree component.

In the Markov model component, individuals transition weekly through health states related to COVID-19 protection and infection. If individuals transition into any infection state, they immediately enter (B) the decision tree component for sorting. Green circles indicate decision points, with probabilities informed by the level of protection against COVID-19 in the particular infected state from which an individual arrives. Red triangles indicate decision tree end points, from which participants reenter the Markov model component.
Figure 1. Model structure combining (a) Markov cohort model and (b) decision tree component.

Table 1. Outcomes of vaccination in various age and risk groups.

Table 5. Scenario analysis results varying the disease burden in analysis of the full Singapore population.

Table 2. Base case results and expanding vaccination in the standard-risk population.

Table 3. Alternative base case results and expanding vaccination in the standard-risk population.

Table 4. Alternative base case results and expanding vaccination in the standard-risk population.

Figure 2. Tornado diagram showing the 10 most impact parameters identified in the deterministic sensitivity analysis varying parameters by ± 20% on the total incremental cost savings in the high-risk population and individuals aged ≥ 50. Color of the bar indicates whether the parameter is at its lower or upper bound.

Figure 2. Tornado diagram showing the 10 most impact parameters identified in the deterministic sensitivity analysis varying parameters by ± 20% on the total incremental cost savings in the high-risk population and individuals aged ≥ 50. Color of the bar indicates whether the parameter is at its lower or upper bound.
Supplemental material

Supplemental Material

Download MS Word (50.5 KB)