Evidence map›Paper›PMID 41704307›Full record

ArticlePreventive medicine reports2026

Epidemiological characteristics of human coronaviruses among populations with acute respiratory infections: surveillance data from jing'an district, Shanghai, 2024-2025.

Qi Shen, Shuiping Lu, Qingyuan Xu, Mengting Tang, Yi Li, Bing Shen, Mingyi Cai, Chenglong Xiong

Abstract read
In one paragraph

Article in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Qi ShenShanghai Jing'an District Center for Disease Control and Prevention (Shanghai Jing'an District Health Supervision Institute), Shanghai 200072, China.
Shuiping LuSchool of Public Health, Fudan University, Key Lab of Public Health Safety, Ministry of Education, Shanghai 200433, China.
Qingyuan XuShanghai Jing'an District Center for Disease Control and Prevention (Shanghai Jing'an District Health Supervision Institute), Shanghai 200072, China.
Mengting TangShanghai Jing'an District Center for Disease Control and Prevention (Shanghai Jing'an District Health Supervision Institute), Shanghai 200072, China.
Yi LiShanghai Jing'an District Center for Disease Control and Prevention (Shanghai Jing'an District Health Supervision Institute), Shanghai 200072, China.
Bing ShenShanghai Jing'an District Center for Disease Control and Prevention (Shanghai Jing'an District Health Supervision Institute), Shanghai 200072, China.
Mingyi CaiShanghai Jing'an District Center for Disease Control and Prevention (Shanghai Jing'an District Health Supervision Institute), Shanghai 200072, China.
Chenglong XiongSchool of Public Health, Fudan University, Key Lab of Public Health Safety, Ministry of Education, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the epidemiological characteristics of common human coronaviruses (HCoVs) among populations with acute respiratory infections in the post-pandemic period. Methods: Detection data from the 2024-2025 comprehensive acute respiratory infection surveillance in Jing'an District, Shanghai, were analyzed using descriptive epidemiological methods to assess HCoVs' detection rates, demographic and seasonal patterns, co-infections, and their trends relative to influenza and other common respiratory viruses. Results: A total of 4758 acute respiratory infection cases were included, with an overall detection rate of HCoVs of 4.9% (232/4758). HCoV-NL63 (53.9%, 125/232) and HCoV-OC43 (22.8%, 53/232) were the predominant subtypes. Children under 14 years and adults over 65 years constituted susceptible populations. Different subtypes peaking at different times. HCoV-NL63 was predominant during summer and autumn; HCoV-OC43 in autumn and winter; HCoV-HKU1 in winter and spring; and HCoV-229E was sporadically year-round. Nearly 40% of the detections involved co-infections (38.8%, 90/232), and HCoVs showed alternating and co-circulating trends with other common respiratory viruses. Conclusions: HCoVs exhibit subtype-specific predominance in different seasons, with frequent co-infections and a substantial burden in children and the elderly, supporting the need for integrated surveillance and targeted protection.

Indexed as

Acute respiratory infectionCo-infectionEpidemiological characteristicsHuman coronavirusesMultipathogen surveillance

Identifiers

PMID41704307
PMCPMC12907243

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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.