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Original Research

Modeling the potential public health impact of different vaccination strategies with an omicron-adapted bivalent vaccine in Malaysia

, , , , , , , & show all
Pages 714-725 | Received 01 Jul 2023, Accepted 03 Aug 2023, Published online: 17 Aug 2023

Figures & data

Figure 1. Model structure. The Markov component (top) and decision tree component (bottom) of the model are shown. Abbreviations: ICU = intensive care unit; PASC = post-acute sequelae of COVID-19.

Figure 1. Model structure. The Markov component (top) and decision tree component (bottom) of the model are shown. Abbreviations: ICU = intensive care unit; PASC = post-acute sequelae of COVID-19.

Table 1. Base case results and expanding vaccination to other age and risk groups.

Table 2. Scenario analysis results expanding vaccination in the standard-risk population compared to base case of Age ≥65 and High Risk.

Table 3. Scenario analysis results expanding vaccination in the standard-risk population compared to base case of Age ≥55 and High Risk.

Table 4. Scenario analysis results expanding vaccination in the standard-risk population compared to base case of Age 6 mo-4 years or > 55 and High Risk.

Table 5. Scenario analysis results varying the disease burden in the base-case analysis of the high-risk population.

Figure 2. One-way deterministic sensitivity analysis. Tornado diagram showings the top 25 parameters with the greatest impact on the results.

Figure 2. One-way deterministic sensitivity analysis. Tornado diagram showings the top 25 parameters with the greatest impact on the results.
Supplemental material

Supplemental Material

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