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Table 2 Measles deaths averted due to vaccination for 112 countries across 2000 to 2030, assuming a constant case fatality ratio (CFR) in “no-vaccination” scenario and percent reduction compared to no vaccination

From: Differential health impact of intervention programs for time-varying disease risk: a measles vaccination modeling study

Model

Scenario

Time-varying period

Deaths averted (millions) 2000–2018

Deaths averted (millions) 2019–2030

Deaths averted (millions) 2000–2030

PSU

Scenario 0

NA

29.3

26.8

56.1

77.7%

96.8%

85.8%

Scenario 1

2000–2018

27.3 (19.9–31.4)

27.1 (26.4–27.4)

54.4 (46.3–58.8)

72.5% (52.8–83.2%)

98.0% (95.3–99.1%)

83.3% (70.8–89.9%)

Scenario 2

2000–2030

27.3 (19.9–31.4)

27.3 (26.6–27.5)

54.6 (46.5–58.9)

72.5% (52.8–83.2%)

98.5% (95.9–99.4%)

83.5% (71.1–90.1%)

DynaMICE

Scenario 0

NA

33.3

27.2

60.5

88.3%

96.9%

92.0%

Scenario 1

2000–2018

32.5 (28.5–34.6)

27.7 (27.1–27.9)

60.2 (55.5–62.6)

86.3% (75.5–91.9%)

98.7% (96.4–99.5%)

91.6% (84.4–95.1%)

Scenario 2

2000–2030

32.5 (28.5–34.6)

27.8 (27.2–28.0)

60.3 (55.7–62.6)

86.3% (75.5–91.9%)

99.0% (97.0–99.7%)

91.7% (84.6–95.2%)

  1. Note: The first line for each scenario presents measles deaths averted due to measles vaccination compared to no vaccination for 112 countries aggregated across 2000 to 2030 in millions. The second line for each scenario presents the associated percent reduction in measles deaths compared to no vaccination. The 95% uncertainty intervals across 1000 draws of CFR model parameters are included in parentheses for both measles deaths averted and percent reductions. PSU Pennsylvania State University model, DynaMICE DynaMICE model developed at the London School of Hygiene & Tropical Medicine