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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jun 11, 2026
Date Accepted: Sep 28, 2026

The final, peer-reviewed published version of this preprint can be found here:

Age-Specific Pertussis Transmission Dynamics and Impact of Immunization Schedule Revision in Hunan, China: Age-Structured Mathematical Modeling Study

Chen T, He Y, Liu Z, Yang Y, Li K, Wang Y, Wu Y, Bu Z, Liu Y, Chen Q, Su Y, Zhao Z, Rui J, Luo K

Age-Specific Pertussis Transmission Dynamics and Impact of Immunization Schedule Revision in Hunan, China: Age-Structured Mathematical Modeling Study

JMIR Public Health Surveill 2026;12:e104376

DOI: 10.2196/104376

PMID: 42944720

Age-Specific Pertussis Transmission Dynamics and Impact of Immunization Schedule Revision in Hunan, China: Age-Structured Mathematical Modeling Study

  • Tianmu Chen; 
  • Yue He; 
  • Ziyan Liu; 
  • Yanhua Yang; 
  • Kangguo Li; 
  • Yao Wang; 
  • Yuqing Wu; 
  • Zheni Bu; 
  • Yuyang Liu; 
  • Qiuping Chen; 
  • Yanhua Su; 
  • Zeyu Zhao; 
  • Jia Rui; 
  • Kaiwei Luo

ABSTRACT

Background:

Despite extensive vaccination efforts, pertussis has experienced a global resurgence, with China alone reporting over 470,000 cases in 2024. The age distribution of cases has shifted markedly from infants to school-aged children and adults, likely driven by waning acellular pertussis vaccine (DTaP)-induced immunity. In response, China revised its immunization schedule in 2025 to include a booster dose at age 6 years; however, the population-level impact of this strategy on age-specific transmission dynamics remains unclear.

Objective:

This study aimed to characterize the shifting age-specific transmission dynamics of Bordetella pertussis under changing immunization landscapes and evaluate the population-level impact of the 2025 Chinese immunization schedule.

Methods:

An age-structured VSEIR (Vaccinated-Susceptible-Exposed-Infectious-Recovered) model incorporating vaccination, waning immunity, and demographic structures was calibrated using surveillance data from Hunan Province (2010-2025). The next-generation matrix approach estimated the effective reproduction numbers across five epidemic phases. Multi-scenario simulations were used to assess the impact of a 6-year booster dose at varying coverage levels.

Results:

Among 47,300 reported cases (2010-2025), a marked resurgence peaked at 6,743 cases in April 2024, with consistent spring seasonality. The case distribution shifted from infant-dominated (0-6 months: 53.1%, 2010-2017) to school-age-dominated (6-10 years: 32.1%, 2024-2025).The study period was stratified into five temporal phases based on the epidemic dynamics: Phase 1 (2010-2017), Phase 2 (2018-2019), Phase 3 (2020-2023), Phase 4 (2024), and Phase 5 (2025). Segmented fitting analyses were conducted for monthly pertussis cases across age groups within each phase of the study. The model demonstrated high fitting consistency across all age groups, with an overall R2 of 0.96. Adults emerged as the dominant transmission source in 2023-2024 (Reff to infants: 2.717). A booster administered at the age of 6 years with full coverage is expected to decrease the 10-year cumulative incidence by 24.15%. Children between 6 and 10 years of age are expected to experience the most significant monthly decrease, at 45.06%, whereas infants are predicted to gain 28.91% indirect protection.

Conclusions:

Pertussis resurgence is driven by age-structured heterogeneity and waning immunity. Administering a booster shot to children at the age of 6 years can reduce the spread of infections across different age groups and offer indirect protection to infants who are at high risk. However, for long-term control, it may be necessary to implement broader strategies that involve vaccinating adolescents, adults, and pregnant women. Clinical Trial: No trial registration.


 Citation

Please cite as:

Chen T, He Y, Liu Z, Yang Y, Li K, Wang Y, Wu Y, Bu Z, Liu Y, Chen Q, Su Y, Zhao Z, Rui J, Luo K

Age-Specific Pertussis Transmission Dynamics and Impact of Immunization Schedule Revision in Hunan, China: Age-Structured Mathematical Modeling Study

JMIR Public Health Surveill 2026;12:e104376

DOI: 10.2196/104376

PMID: 42944720

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