@WHO @UNDESA #COVID19 excess mortality estimates reveal that the 5.4 million reported deaths from Jan 2020-Dec 2021 are a significant undercount. Let’s dive deeper into the findings. #HealthData
who.int/news/item/05-0…
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who.int/news/item/05-0…
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Excess mortality is the diff. between the number of reported #COVID19 deaths and the number expected based on historical data & statistical modelling.
Read more 👉 who.int/data/stories/g…
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Read more 👉 who.int/data/stories/g…
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These estimates show that just 10 countries accounted for 68% of excess deaths. Deaths were concentrated in 3 regions:
1️⃣ South-East Asia: 40%
2️⃣ Europe: 22%
3️⃣ Americas: 22%
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1️⃣ South-East Asia: 40%
2️⃣ Europe: 22%
3️⃣ Americas: 22%
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Distribution of the 19.4M excess deaths by @WorldBank income groups:
🔵Low income: 4%
🔵Lower-middle income: 53%
🔵Higher-middle income: 28%
🔵High income: 15%
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🔵Low income: 4%
🔵Lower-middle income: 53%
🔵Higher-middle income: 28%
🔵High income: 15%
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The estimates also include a breakdown of excess mortality by age & sex, with the global death toll for men being higher than that for women.
🔵Men = 58% of global death toll
🔵Women = 42% of global death toll
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🔵Men = 58% of global death toll
🔵Women = 42% of global death toll
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Good estimates rely on good data. Where good data isn’t available, the estimates are less certain.
@WHO will continue updating the data & methodology as the pandemic evolves.
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@WHO will continue updating the data & methodology as the pandemic evolves.
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