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Letter

Anticipated reduction in COVID-19 mortality due to population-wide BCG vaccination: evidence from Germany

ORCID Icon, ORCID Icon & ORCID Icon
Pages 2451-2453 | Received 03 Dec 2020, Accepted 03 Jan 2021, Published online: 05 Feb 2021

Figures & data

Figure 1. Methodology. (a). Calculated BCG vaccination coverage in people with 65 y or more based on Germany’s population data in the States of Former East and West Germany. (b). Algorithm implemented with the CoMo model to calculate first the Heterologous Vaccine efficacy of BCG in former East Germany in the context of NPIs and then to simulate a scenario in former West Germany incorporating a BCG campaign before the onset of the pandemic

Figure 1. Methodology. (a). Calculated BCG vaccination coverage in people with 65 y or more based on Germany’s population data in the States of Former East and West Germany. (b). Algorithm implemented with the CoMo model to calculate first the Heterologous Vaccine efficacy of BCG in former East Germany in the context of NPIs and then to simulate a scenario in former West Germany incorporating a BCG campaign before the onset of the pandemic

Figure 2. Projected COVID-19 mortality reduction in former West German states with hypothetical preexisting BCG-vaccine coverage of ≥ 65 y population equivalent to former East German states (assuming 5% heterologous-efficacy and 85% coverage). Red = modeled actual COVID-19 mortality data (median); Green = modeled hypothetical COVID-19 mortality (median); Blue = 25th, 75th quantiles for modeled hypothetical mortality (with 0.01 SD “Gaussian noise” for key parameters)

Figure 2. Projected COVID-19 mortality reduction in former West German states with hypothetical preexisting BCG-vaccine coverage of ≥ 65 y population equivalent to former East German states (assuming 5% heterologous-efficacy and 85% coverage). Red = modeled actual COVID-19 mortality data (median); Green = modeled hypothetical COVID-19 mortality (median); Blue = 25th, 75th quantiles for modeled hypothetical mortality (with 0.01 SD “Gaussian noise” for key parameters)