Evidence map›Paper›PMID 40747582›Full record

ArticleHuman vaccines & immunotherapeutics2025

Impact of the COVID-19 pandemic on the timeliness of pertussis-containing vaccination: A cohort study in Shanghai, China.

Zhuoying Huang, Ye Wu, Mengxian Gao, Nan Wang, Zhonghui Ma, Suyi Zhang, Minyi Yang, Xinyu Wang, Danni Zhao, Zexuan Wen and 4 more

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Zhuoying HuangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Ye WuDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Mengxian GaoShanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
Nan WangInstitute of Immunization, Shanghai Municipal Center of Disease Control and Prevention, Shanghai, China.
Zhonghui MaInstitute of Immunization, Shanghai Municipal Center of Disease Control and Prevention, Shanghai, China.
Suyi ZhangShanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
Minyi YangShanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
Xinyu WangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Danni ZhaoShanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
Zexuan WenShanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
Wenyong ZhouShanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
Bo ZhengDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Jie TianShanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
Weibing WangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.

Funding

Gates Foundation INV-034554
6 · The paper itself

Abstract

The COVID-19 epidemic has significantly disrupted routine childhood immunization programs. This study assesses the impact of different COVID-19 prevalence phases on immunization coverage and timeliness in Shanghai, China. We employed a retrospective cohort design, encompassing children born between September 1, 2018, and August 30, 2023. Children were categorized into three COVID-19 phases based on their expected vaccination dates: baseline period, epidemic period, and pre/post-epidemic period. Kaplan-Meier estimators were utilized to ascertain the cumulative vaccination probabilities, with differences tested using the log-rank method. A multivariate Cox proportional hazards model was conducted to assess the impact of COVID-19 phases on vaccination timeliness. Vaccination timeliness significantly declined when the vaccination window coincided with an epidemic period, particularly for older children and during heightened epidemic activity. The probability of timely vaccination at 2 months was 0.89 (95% CI: 0.86-0.92) in the baseline period and 0.53 (95% CI: 0.51-0.55) in the epidemic period, compared to the pre/post-epidemic period. At 3 months, the probability of timely vaccination decreased 12% (HR = 0.88, 95% CI 0.86-0.90) and 49% (HR = 0.51, 95% CI 0.49-0.53), respectively. Similarly, for vaccinations scheduled at 4 months, the probabilities of timely vaccination were 0.87 (95% CI 0.85-0.89) and 0.49 (95% CI 0.47-0.51) times. At 5 months, the probabilities declined 9% (HR = 0.91, 95% CI 0.87-0.94) and 57% (HR = 0.43, 95% CI 0.40-0.46), correspondingly. Our study assessed the notable decline of vaccination timeliness during epidemic periods, highlighting the need for targeted strategies to mitigate disruptions in routine childhood immunization services.

Indexed as

COVID-19Immunization SchedulePertussis VaccineVaccinationVaccination CoverageWhooping CoughChildChild, PreschoolChinaCohort StudiesFemaleHumansImmunization ProgramsInfantMaleRetrospective StudiesPertussis VaccineCOVID-19pertussis-containing vaccinesroutine immunizationvaccination coveragevaccination timeliness

Identifiers

PMID40747582
PMCPMC12320832

What OpenQuestion holds

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LicenceCC BY-NC
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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.