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Table 1 Fictional data example. \({\varvec{E}}\) expected deaths, \({\varvec{O}}\) observed deaths, \({\varvec{R}}{\varvec{D}}\) total number of excess deaths, \({{\varvec{R}}{\varvec{D}}}_{{\varvec{p}}.{\varvec{c}}.}\) per captia rate, \({\varvec{S}}{\varvec{M}}{\varvec{R}}\) standardized morality ratio, \({\varvec{P}}{\varvec{A}}{\varvec{F}}\) population attributable fraction

From: Quantifying and communicating the burden of COVID-19

Definition

Population A (high baseline mortality)

Population B (low baseline mortality)

\(E\)

\(900\)

\(900\)

\(O\)

\(1000\)

\(1000\)

\(n\)

\(\mathrm{100,000}\)

\(\mathrm{500,000}\)

\(RD\)

\(100\)

\(100\)

\({RD}_{p.c.}\)

\(100 per \mathrm{100,000}\)

\(20 per \mathrm{100,000}\)

\(p-score\)

\(11.1\%\)

\(11.1\%\)

\(SMR\)

\(1.1\)

\(1.1\)

\(PAF\)

\(10\%\)

\(10\%\)