Evidence map›Paper›PMID 42350912›Full record

ArticleEpidemiology and infection2026

Using forensic autopsy data to estimate the age-specific infection fatality risk of COVID-19.

Yuri Amemiya, Hiroshi Nishiura

Erratum issuedAbstract read
In one paragraph

Article in Epidemiology and infection, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Yuri AmemiyaGraduate School of Medicine, https://ror.org/02kpeqv85Kyoto University, Kyoto, Japan.
Hiroshi NishiuraSchool of Public Health, https://ror.org/02kpeqv85Kyoto University, Kyoto, Japan.ORCID 0000-0003-0941-8537

Funding

Core Research for Evolutional Science and Technology JPMJCR24Q3Japan Agency for Medical Research and Development JP24fk0108685 and JP24fk0108710Japan Society for the Promotion of Science 21H03198 and 22K19670,24KJ1518Ministry of Health, Labour and Welfare 20CA2024, 20HA2007, 21HB1002, 21HA2016 and 23HA200Research Institute of Science and Technology for Society JPMJRS22B4World Health Organization NA
6 · The paper itself

Abstract

The infection fatality risk indicates the probability of death among infected individuals. The age-dependent heterogeneity of infection fatality risk is crucial for severity assessment and prioritization of countermeasures. However, infection fatality risk estimation requires infection data from a large-scale seroepidemiological survey combined with either direct ascertainment of deaths caused by infection or excess mortality estimates. To overcome the difficulty in ascertaining death, we propose an alternative approach to estimating the age-specific infection fatality risk for SARS-CoV-2 using medicolegal death investigation data in Tokyo with systematic post-mortem polymerase chain reaction testing. We integrated (i) polymerase chain reaction positivity among all deceased individuals at the Tokyo Medical Examiner's Office, (ii) age-specific all-cause mortality risks from vital statistics, and (iii) age-stratified cumulative infection risks derived from seroepidemiological surveys. Infection fatality risk was computed using Bayes' theorem. Results showed that infection fatality risk increased steeply with age. Our estimates (0.02% for ages 0-39 years, 0.30%-0.50% for ages 40-64 years, and 3.8%-4.2% for those aged ≥65 years) were consistent with published pre-vaccination meta-analytic estimates. Systematic testing within medicolegal death investigation systems can provide rapid, age-resolved severity assessments, improving the timeliness and comparability of infection fatality risk estimation across jurisdictions.

Indexed as

COVID-19AdolescentAdultAgedAged, 80 and overAge FactorsAutopsyBayes TheoremChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedBayesian modelforensic autopsyinfection fatality riskSARS-CoV-2statistical estimation

Identifiers

PMID42350912
PMCPMC13366359

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.