Evidence map›Paper›PMID 41979562›Full record

ArticleHuman vaccines & immunotherapeutics2026

Transmission patterns of pertussis in school-based clustered outbreaks: A retrospective analysis in Zhejiang Province, China, 2024.

Shuhan Zheng, Feng Luo, Hangjie Zhang, Yang Zhou, Ying Su, Hanqing He, Yao Zhu

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

7 authors.

Shuhan ZhengDepartment of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Feng LuoSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Hangjie ZhangDepartment of Prevention and Control of Infectious Disease, Key Lab of Vaccine, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yang ZhouDepartment of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Ying SuCenter for General Practice Medicine, Department of Research Administration, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Hanqing HeDepartment of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0003-0863-5177
Yao ZhuDepartment of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0001-8675-6826

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a retrospective study using data from Zhejiang Province's pertussis surveillance system between February 1 and May 1, 2024, defining school-based clusters as ≥5 cases occurring within 21 d in the same class. We identified 124 outbreaks involving 825 confirmed cases, with cluster sizes ranging from 5 to 16 cases (median: 7). Most outbreaks occurred in primary schools (79.03%, 98/124), followed by kindergartens (19.35%, 24/124) and middle schools (1.61%, 2/124). Among cases, 19.3% (159/825) were index cases (predominantly aged 7-8 y) and 80.7% (666/825) were secondary infections. The median serial interval was 9.0 d (IQR: 5.0-13.0); it was significantly longer in kindergarten than in primary school cases (10.0 vs. 9.0 d,

Indexed as

Disease OutbreaksSchoolsWhooping CoughAdolescentChildChild, PreschoolChinaCluster AnalysisFemaleHumansMaleRetrospective StudiesPertussisschoolserial intervaltransmission

Identifiers

PMID41979562
PMCPMC13081745

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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.