Evidence map›Paper›PMID 40336577›Full record

ArticleThe Lancet regional health. Western Pacific2025

Post-pandemic excess mortality of COVID-19 in Hong Kong: a retrospective study.

Kehang Li, Yuchen Wei, Chi Tim Hung, Carlos King Ho Wong, Xi Xiong, Paul Kay Sheung Chan, Shi Zhao, Zihao Guo, Guozhang Lin, Qiaoge Chi and 8 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
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

18 authors.

Kehang LiSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Yuchen WeiSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Chi Tim HungSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Carlos King Ho WongLaboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong Special Administrative Region of China.
Xi XiongLaboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong Special Administrative Region of China.
Paul Kay Sheung ChanDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Shi ZhaoSchool of Public Health, Tianjin Medical University, China.
Zihao GuoSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Guozhang LinSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Qiaoge ChiDepartment of Statistics, University of Pittsburgh, Pittsburgh, USA.
Carrie Ho Kwan YamSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Tsz Yu ChowSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Conglu LiSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Xiaoting JiangSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Shuk Yu LeungDepartment of Paediatrics, Kwong Wah Hospital, Hong Kong Special Administrative Region of China.
Ka Li KwokDepartment of Paediatrics, Kwong Wah Hospital, Hong Kong Special Administrative Region of China.
Eng Kiong YeohSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
Ka Chun ChongSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the COVID-19 pandemic shifted into the post-pandemic period in early 2023, following the COVID-19 normalization with relaxation of stringent control measures and high vaccination coverage in Hong Kong, its long-term impact on mortality remains challenging with necessary needs of data-driven insights. This study examined the pattern of post-pandemic excess mortality in Hong Kong. Methods: We analyzed weekly inpatient death data from public hospitals from January 1, 2013, to June 1, 2024, using a mixed model with over-dispersed Poisson regression. Expected mortality was estimated as the difference between observed mortality and baseline derived from pre-pandemic data. Age-stratified analyses of overall and cause-specific mortality were conducted across the pre-Omicron pandemic, Omicron, and post-pandemic periods. Findings: In the post-pandemic period, the excess mortality declined but remained six-fold higher (37.66 [95% CI: 32.72-42.60] per 100,000) than pre-Omicron level, maintaining significance after adjusting for age (32.79 [95% CI: 28.13-37.46] per 100,000). The older population experienced sustained excess mortality, with crude estimates of 100.51 and 586.74 per 100,000 among those aged 65-79 years and ≥80 years, respectively, primarily due to respiratory diseases. Younger population showed near-zero overall excess mortality, whereas increased excess mortality among them occurred in heart disease, cerebrovascular disease, and injuries. Interpretation: Our findings highlight the lasting mortality impact of pandemic among vulnerable populations, specifically the older population, possibly due to the post-COVID conditions and circulating COVID-19, suggesting the need for targeted interventions for this group. Funding: Health and Medical Research Fund.

Indexed as

Excess burdenExcess deathLong COVIDOmicron

Identifiers

PMID40336577
PMCPMC12054014

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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.