Evidence map›Paper›PMID 40275411›Full record

ArticlePneumonia (Nathan Qld.)2025

Changes in the incidence, viral coinfection pattern and outcomes of pneumococcal hospitalizations during and after the COVID-19 pandemic.

King-Pui Florence Chan, Ting-Fung Ma, Hanshu Fang, Wai-Kai Tsui, James Chung-Man Ho, Mary Sau-Man Ip, Pak-Leung Ho

Abstract read
In one paragraph

Article in Pneumonia (Nathan Qld.), 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. Optimizing adult pneumococcal vaccination in India: Evidence from serotype surveillance.Lung India : official organ of Indian Chest Society · 2026
    Article
  2. Observational
  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

7 authors.

King-Pui Florence ChanDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-2094-1206
Ting-Fung MaDepartment of Statistics, University of South Carolina, Columbia, South Carolina, USA.ORCID http://orcid.org/0000-0001-6028-5640
Hanshu FangDepartment of Microbiology and Carol Yu Centre for Infection, Queen Mary Hospital, University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.ORCID http://orcid.org/0009-0004-6133-612X
Wai-Kai TsuiDepartment of Microbiology and Carol Yu Centre for Infection, Queen Mary Hospital, University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.ORCID http://orcid.org/0009-0008-5849-816X
James Chung-Man HoDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-4499-5284
Mary Sau-Man IpDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China.ORCID http://orcid.org/0000-0002-8692-6933
Pak-Leung HoDepartment of Microbiology and Carol Yu Centre for Infection, Queen Mary Hospital, University of Hong Kong, Pokfulam Road, Hong Kong SAR, China. plho@hku.hk.ORCID http://orcid.org/0000-0002-8811-1308

Funding

Health and Medical Research Fund CID-HKU1-13
6 · The paper itself

Abstract

backgroundThe incidence of pneumococcal pneumonia in the context of the Coronavirus Disease 2019 (COVID-19) pandemic, along with the real-world data on the ratio of non-invasive to invasive pneumococcal pneumonia, is an area that has not been thoroughly studied. The outcomes associated with coinfection of influenza and COVID-19 remain unknown. This study examined the incidence, demographics, coinfection with influenza and/or COVID-19, and clinical outcomes of pneumococcal hospitalizations in Hong Kong during the baseline, pandemic, and post-pandemic periods.

methodsHospitalization records of individuals aged 18 years and above with pneumococcal disease from January 2015 to August 2024 were extracted from the territory-wide electronic medical record database. Pneumococcal disease was categorized into invasive pneumococcal pneumonia (IPP), invasive pneumococcal disease without pneumonia (IPDWP), and non-invasive pneumococcal pneumonia (NIPP), followed by univariate and multivariate analyses. Effects of coinfection with influenza and COVID-19 were analyzed.

resultsThe incidence of pneumococcal disease decreased during the COVID-19 pandemic but rebounded in the post-pandemic period. There were no significant changes in the distribution of pneumococcal serotypes across the three periods. The study revealed a strong positive correlation between monthly pneumococcal hospitalizations and the indicator of influenza activity, while the correlation with the COVID-19 indicator was weak. Additionally, strong positive correlations were observed between the indicator of influenza activity and influenza coinfections, as well as between the indicator of COVID-19 activity and COVID-19 coinfections. Multivariate analyses identified male gender, a higher comorbidity index, older age, invasive pneumococcal disease (IPP and IPDWP), coinfection with influenza and COVID-19, and hospitalization during the pandemic period as factors associated with adverse outcomes.

conclusionsThe study showcases changes in the epidemiology of pneumococcal disease during and after the COVID-19 pandemic. It highlights the adverse effects of influenza and COVID-19 coinfections on the outcomes of patients with pneumococcal disease and emphasizes the need to vaccinate vulnerable populations against these infections.

Indexed as

CoinfectionCoronavirus disease 2019InfluenzaPneumococcal disease

Identifiers

PMID40275411
PMCPMC12023597

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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.