Evidence map›Paper›PMID 31364545›Full record

ArticleEpidemiology and infection2019

Real-time estimation of the influenza-associated excess mortality in Hong Kong.

Jessica Y Wong, Edward Goldstein, Vicky J Fang, Benjamin J Cowling, Peng Wu

Open access · hybridAbstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
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

5 authors at 2 institutions in 3 countries.

Jessica Y WongWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
Edward GoldsteinCenter for Communicable Disease Dynamics,Department of Epidemiology,Harvard TH Chan School of Public Health,Boston, MA,USA.
Vicky J FangWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
Benjamin J CowlingWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.ORCID 0000-0002-6297-7154
Peng WuWHO Collaborating Centre for Infectious Disease Epidemiology and Control,School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.
Department of Health · CNCenter for Disease Dynamics, Economics & Policy · US

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

Statistical models are commonly employed in the estimation of influenza-associated excess mortality that, due to various reasons, is often underestimated by laboratory-confirmed influenza deaths reported by healthcare facilities. However, methodology for timely and reliable estimation of that impact remains limited because of the delay in mortality data reporting. We explored real-time estimation of influenza-associated excess mortality by types/subtypes in each year between 2012 and 2018 in Hong Kong using linear regression models fitted to historical mortality and influenza surveillance data. We could predict that during the winter of 2017/2018, there were ~634 (95% confidence interval (CI): (190, 1033)) influenza-associated excess all-cause deaths in Hong Kong in population ⩾18 years, compared to 259 reported laboratory-confirmed deaths. We estimated that influenza was associated with substantial excess deaths in older adults, suggesting the implementation of control measures, such as administration of antivirals and vaccination, in that age group. The approach that we developed appears to provide robust real-time estimates of the impact of influenza circulation and complement surveillance data on laboratory-confirmed deaths. These results improve our understanding of the impact of influenza epidemics and provide a practical approach for a timely estimation of the mortality burden of influenza circulation during an ongoing epidemic.

Indexed as

Cause of DeathAdultAgedAge DistributionAntiviral AgentsCohort StudiesDatabases, FactualFemaleHong KongHumansIncidenceInfluenza, HumanLinear ModelsMaleMiddle AgedRetrospective StudiesAntiviral AgentsDeathhuman influenzaimpact

Identifiers

PMID31364545
PMCPMC6627011
OpenAlexW2949639485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.