Evidence map›Paper›PMID 39652276›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2025

Population-based active surveillance of pertussis hospitalization rates in two cities of China.

Hanying Dai, Hanqing He, Yanyang Zhang, Juan Xu, Jie Che, Yao Zhu, Tao Fu, Chuanwei Chen, Qian Zhou, Bohan Chen and 4 more

Abstract read
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In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Hanying DaiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Hanqing HeZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yanyang ZhangHenan Provincial Center for Disease Control and Prevention, Zhengzhou, China.
Juan XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Jie CheNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Yao ZhuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Tao FuYiwu District Center for Disease Control and Prevention, Jinhua, China.
Chuanwei ChenYongcheng District Center for Disease Control and Prevention, Shangqiu, China.
Qian ZhouYongcheng District Center for Disease Control and Prevention, Shangqiu, China.
Bohan ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Yuan GaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Aiping QinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Maojun ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Zhujun ShaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. shaozhujun@icdc.cn.

Funding

Enhancement of Infectious Disease Surveillance and Control Technological Capabilities 102393240020020000003Operation of Public Health Emergency Response Mechanisms - Infectious Disease Control 102393220020020000029Sanofi No. PER00082the National Science Foundation of China No. 81973106
6 · The paper itself

Abstract

purposeHospitalization is most common for severe pertussis cases and those with serious complications caused by pertussis. In mainland China, the immunization program consists of primary vaccinations at 3, 4, and 5 months, followed by a booster at 18 months with DTaP. It remains uncertain whether the first dose at 3 months, rather than 6 weeks as WHO recommended, may increase disease burden, as delayed immunization may lead to lagged protection. This study aimed to determine pertussis hospitalization rates by active surveillance in China, shedding light on immunization strategies for better disease control.

methodsFrom June 1, 2021, to May 31, 2022, two Chinese cities underwent a population-based active surveillance. Suspected pertussis cases were confirmed as pertussis cases through PCR and culture. Pertussis hospitalization rates were calculated by dividing the number of laboratory confirmed pertussis cases by the hospitalization coverage rate of surveillance hospitals and the resident population.

resultsDuring the study period 2021-2022, pertussis hospitalization rate in Yiwu was 2.50/100,000 (95% CrI 2.48-2.53), while in Yongcheng, it was 7.90/100,000 (95% CrI 7.81-8.00). In both cities, infants aged < 1 year had the highest hospitalization rate (215.64/100,000: Yiwu; 217.65/100,000: Yongcheng), followed by the age group of 4-5 years (16.37/100,000: Yiwu; 65.70/100,000: Yongcheng).

conclusionsThis study revealed significant pertussis hospitalization rates in China, particularly among infants aged < 1 year, highlighting the need of timely and early immunization. The higher hospitalization rates in the 4-5-year age group emphasize the importance of targeted preventive measures for preschool children to mitigate the impact of pertussis.

Indexed as

HospitalizationWhooping CoughAdolescentAdultAgedChildChild, PreschoolChinaCitiesFemaleHumansInfantInfant, NewbornMaleMiddle AgedPopulation SurveillanceChinaHospitalization rateImmunizationPertussisSurveillance

Identifiers

PMID39652276
PMCPMC11754310

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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.