Evidence map›Paper›PMID 23459950›Full record

ArticleAmerican journal of epidemiology2013

Infection fatality risk of the pandemic A(H1N1)2009 virus in Hong Kong.

Jessica Y Wong, Peng Wu, Hiroshi Nishiura, Edward Goldstein, Eric H Y Lau, Lin Yang, S K Chuang, Thomas Tsang, J S Malik Peiris, Joseph T Wu and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 6 pooled it
4.9field-weighted citation impact, top 4% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 6 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. A systematic review and meta-analysis of published research data on COVID-19 infection fatality rates.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Jessica Y WongSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Peng Wu
Hiroshi Nishiura
Edward Goldstein
Eric H Y Lau
Lin Yang
S K Chuang
Thomas Tsang
J S Malik Peiris
Joseph T Wu
Benjamin J Cowling
University of Hong Kong · HK

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
Epidemiology and modeling of the population dynamics of influenza and antimicrobiK01AI101010 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI GOLDSTEIN, EDWARD · 2012 to 2014
$379k
NIAID NIH HHS 1K01AI101010-01NIAID NIH HHS K01 AI101010NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

One measure of the severity of a pandemic influenza outbreak at the individual level is the risk of death among people infected by the new virus. However, there are complications in estimating both the numerator and denominator. Regarding the numerator, statistical estimates of the excess deaths associated with influenza virus infections tend to exceed the number of deaths associated with laboratory-confirmed infection. Regarding the denominator, few infections are laboratory confirmed, while differences in case definitions and approaches to case ascertainment can lead to wide variation in case fatality risk estimates. Serological surveillance can be used to estimate the cumulative incidence of infection as a denominator that is more comparable across studies. We estimated that the first wave of the influenza A(H1N1)pdm09 virus in 2009 was associated with approximately 232 (95% confidence interval: 136, 328) excess deaths of all ages in Hong Kong, mainly among the elderly. The point estimates of the risk of death on a per-infection basis increased substantially with age, from below 1 per 100,000 infections in children to 1,099 per 100,000 infections in those 60-69 years of age. Substantial variation in the age-specific infection fatality risk complicates comparison of the severity of different influenza strains.

Indexed as

Influenza A Virus, H1N1 SubtypePandemicsAdolescentAdultAgedAge DistributionAge FactorsChildChild, PreschoolHong KongHumansIncidenceInfantInfant, NewbornInfluenza, HumanMiddle Aged

Identifiers

PMID23459950
PMCPMC3658096
OpenAlexW2140445748

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.