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Original Research

The potential public health impact of the respiratory syncytial virus prefusion F protein vaccine in people aged ≥60 years in Japan: results of a Markov model analysis

Pages 303-311 | Received 21 Oct 2023, Accepted 21 Feb 2024, Published online: 01 Mar 2024

Figures & data

Figure 1. Schematic description of Markov model.

vaccine efficacy was calculated against RSV-ARI and RSV-LRTD separately (indicated by syringe). The number of RSV-URTD was defined by the difference of RSV-ARI and RSV-LRTD.
ARI = acute respiratory infection; LRTD = lower respiratory tract disease; URTD = upper respiratory tract disease; Reinf = reinfection; RSV = respiratory syncytial virus; VE = vaccine efficacy.
Figure 1. Schematic description of Markov model.

Table 1. Epidemiologic and vaccine efficacy model input parameters.

Table 2. PHI of RSVPreF3 OA vaccine over 3 years (base case).

Figure 2. Tornado diagram – DSA results.

Bars are ordered vertically according to the size of the variable’s impact on the outcome. The variable with the greatest impact is on top. The lower (upper) bound end of the bar indicates the impact of the variable when its value is equal to the lower (upper) value of its range.
ARI: acute respiratory infection; DSA: deterministic sensitivity analysis; LRTD: lower respiratory tract disease; RSV: respiratory syncytial virus; URTD: upper respiratory tract disease.
Figure 2. Tornado diagram – DSA results.

Table 3. Scenario analyses.

Data availability statement

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