Investigation and analysis of pertussis antibody levels among healthy people in Hangzhou, Zhejiang Province from 2021 to 2024
Yaning Zhuo, Xinren Che, Yuyang Xu, Xuechao Zhang, Yingying Yang, Xiaoping Zhang, Yan Liu

TL;DR
This study measured pertussis antibody levels in healthy people in Hangzhou from 2021 to 2024 to assess population immunity and identify groups at higher risk of transmission.
Contribution
The study provides new insights into pertussis immunity trends across age groups and vaccination intervals in a specific geographic region.
Findings
The overall antibody positive rate was 37.50% with a geometric mean concentration of 51.54 U/mL.
Higher antibody levels were observed in 1- and 2-year-olds compared to younger and older age groups.
Suboptimal antibody levels in adolescents and adults suggest a need for booster vaccinations to reduce transmission risks.
Abstract
This study aims to investigate the levels of pertussis antibodies among the healthy population in Hangzhou, Zhejiang Province from 2021 to 2024. The goal is to understand the immune status of the population regarding pertussis, providing a basis for assessing the epidemiological risk of pertussis. A multi-stage stratified sampling method was employed, categorizing the population into 11 age groups. From 2021 to 2024, one district/county was selected each year to collect blood samples from healthy individuals. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum pertussis Immunoglobulin G (IgG) antibodies. A total of 1,352 participants were included in the study. A definite history of vaccination was documented in 65.09% of the study subjects. The overall positive rate of antibodies in the healthy population was 37.50%, with a geometric mean concentration (GMC) of 51.54…
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| Subgroup | Total ( | Positive case ( | Positive rate (%) |
|
|
|---|---|---|---|---|---|
| Year | |||||
| 2021 | 357 | 131 | 36.69 | 71.03 | <0.01 |
| 2022 | 330 | 125 | 37.88 | ||
| 2023 | 335 | 179 | 53.43 | ||
| 2024 | 330 | 72 | 21.82 | ||
| Gender | |||||
| Male | 654 | 259 | 39.6 | 2.39 | 0.12 |
| Female | 698 | 248 | 35.53 | ||
| Age (y) | |||||
| <1 | 122 | 51 | 41.8 | 88.89 | <0.01 |
| 1~ | 123 | 62 | 50.41 | ||
| 2~ | 124 | 76 | 61.29 | ||
| 3~ | 122 | 55 | 45.08 | ||
| 5~ | 120 | 52 | 43.33 | ||
| 7~ | 122 | 44 | 36.07 | ||
| 10~ | 135 | 40 | 29.63 | ||
| 15~ | 120 | 27 | 22.5 | ||
| 20~ | 120 | 26 | 21.67 | ||
| 30~ | 124 | 25 | 20.16 | ||
| ≥40 | 120 | 49 | 40.83 | ||
| District | |||||
| Urban | 665 | 251 | 37.74 | 0.03 | 0.86 |
| Rural | 687 | 256 | 37.26 | ||
| Immunization history | |||||
| Unvaccinated | 37 | 6 | 16.22 | 49.1 | <0.01 |
| 1 dose | 10 | 1 | 10 | ||
| 2 dose | 8 | 1 | 12.5 | ||
| 3 dose | 505 | 210 | 41.58 | ||
| 4 dose | 357 | 169 | 47.34 | ||
| Unknown | 435 | 120 | 27.59 | ||
| Intervals between primary and last doses (y) | |||||
| <1 | 165 | 79 | 47.88 | 13.15 | <0.01 |
| 1~ | 681 | 294 | 43.17 | ||
| 2~ | 16 | 5 | 31.25 | ||
| ≥3 | 8 | 2 | 25 | ||
| Unvaccinated | 37 | 6 | 16.22 | ||
| Subgroup | GMC [U/ml, (95% CI)] |
| |
|---|---|---|---|
| Year | |||
| 2021 | 47.54 (40.99–54.09) | <0.01 | |
| 2022 | 50.02 (43.74–56.30) | ||
| 2023 | 72.06 (65.87–86.25) | ||
| 2024 | 32.49 (26.83–38.15) | ||
| Gender | |||
| Male | 54.22 (48.48–59.96) | 0.44 | |
| Female | 48.02 (44.08–53.97) | ||
| Age (y) | |||
| <1 | 51.13 (39.99–62.26) | <0.01 | |
| 1~ | 87.60 (66.75–108.45) | ||
| 2~ | 99.01 (77.94–118.08) | ||
| 3~ | 61.76 (49.20–74.32) | ||
| 5~ | 47.38 (37.77–56.99) | ||
| 7~ | 46.42 (36.64–56.21) | ||
| 10~ | 41.72 (30.47–52.96) | ||
| 15~ | 29.74 (24.14–35.34) | ||
| 20~ | 30.55 (24.31–36.79) | ||
| 30~ | 26.62 (22.31–30.94) | ||
| ≥40 | 45.51 (38.23–52.79) | ||
| District | |||
| Urban | 54.44 (48.37–60.50) | 0.58 | |
| Rural | 48.73 (44.19–53.27) | ||
| Immunization history | |||
| Unvaccinated | 20.93 (11.59–30.27) | <0.01 | |
| 1 dose | 15.67 (4.87–26.45) | ||
| 2 dose | 14.93 (3.72–26.13) | ||
| 3 dose | 62.56 (54.57–70.56) | ||
| 4 dose | 61.92 (54.74–69.10) | ||
| Unknown | 37.32 (31.05–37.59) | ||
| Intervals between primary and last doses (y) | |||
| <1 | 63.27 (52.40–74.15) | <0.01 | |
| 1~ | 62.51 (56.01–68.90) | ||
| 2~ | 34.38 (20.66–48.10) | ||
| ≥3 | 32.57 (−0.06–65.19) | ||
| Unvaccinated | 20.93 (11.59–30.27) | ||
| Subgroup | Positive rate | GMC | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI |
| OR | 95% CI |
| |
| Gender (Reference: male) | ||||||
| Female | 1.02 | 0.81–1.30 | 0.86 | 1.06 | 0.95–1.17 | 0.32 |
| District (Reference: urban) | ||||||
| Rural | 1.11 | 0.88–1.41 | 0.37 | 0.86 | 0.77–0.95 | <0.05 |
| Age (Reference: <1) | ||||||
| 1~ | 1.98 | 1.09–3.27 | 0.1 | 1.33 | 1.02–1.72 | <0.01 |
| 2~ | 1.61 | 0.73–3.56 | 0.24 | 1.46 | 1.13–1.89 | <0.01 |
| 3~ | 2.28 | 1.02–5.07 | 0.04 | 0.78 | 0.59–1.03 | <0.01 |
| 5~ | 0.98 | 0.44–2.19 | 0.96 | 0.66 | 0.51–1.86 | <0.01 |
| 7~ | 0.89 | 0.40–2.00 | 0.79 | 0.61 | 0.47–0.80 | <0.01 |
| 10~ | 0.66 | 0.29–1.47 | 0.31 | 0.53 | 0.40–0.70 | <0.01 |
| 15~ | 0.4 | 0.18–0.90 | 0.03 | 0.41 | 0.30–0.57 | <0.01 |
| 20~ | 0.35 | 0.19–0.66 | <0.01 | 0.45 | 0.31–0.64 | <0.01 |
| 30~ | 0.8 | 0.22–0.68 | <0.01 | 0.39 | 0.28–0.57 | <0.01 |
| ≥40 | 0.35 | 0.20–0.63 | <0.01 | 0.71 | 0.50–1.02 | <0.01 |
| Immunization history (Reference: unvaccinated) | ||||||
| 1dose | 0.2 | 0.07–0.56 | <0.01 | 0.61 | 0.30–1.12 | 0.17 |
| 2dose | 0.08 | 0.01–0.68 | 0.02 | 0.57 | 0.27–1.22 | 0.45 |
| 3dose | 0.1 | 0.01–0.89 | 0.04 | 2.4 | 1.65–3.48 | <0.01 |
| 4dose | 0.76 | 0.39–1.47 | 0.41 | 3.25 | 2.22–4.78 | <0.01 |
| Unknown | 1.7 | 0.89–3.24 | 0.11 | 2.62 | 1.84–3.71 | <0.01 |
| Intervals between primary and last doses (Reference: unvaccinated) | ||||||
| <1 | 4.35 | 1.73–10.95 | <0.01 | 2.90 | 1.98–4.24 | <0.01 |
| 1~ | 3.93 | 1.62–9.53 | <0.01 | 2.99 | 2.09–4.26 | <0.01 |
| 2~ | 2.35 | 0.60–9.26 | 0.23 | 1.64 | 0.87–3.09 | 0.12 |
| ≥3 | 1.72 | 0.28–10.68 | 0.56 | 1.56 | 0.68–3.54 | 0.29 |
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Taxonomy
TopicsBacterial Infections and Vaccines · Peripheral Neuropathies and Disorders · Pneumonia and Respiratory Infections
Introduction
1
Pertussis, an acute respiratory infectious disease caused by Bordetella pertussis (Bp), is characterized by paroxysmal and spasmodic coughing, often accompanied by a characteristic “whooping” sound during inhalation. In some cases, it can progress to severe complications or death. Pertussis is classified as a category B infectious disease in China and is primarily transmitted through respiratory droplets. The incubation and infectious periods are relatively prolonged, leading to widespread susceptibility in the population, particularly with high secondary attack rates within households. It is most commonly observed in children under 5 years of age, especially in infants of low age. Pertussis remains a significant global public health issue and is one of the leading causes of morbidity and mortality in infants worldwide (1, 2).
The primary method for preventing pertussis is vaccination (3). In China, the diphtheria, tetanus, and whole-cell pertussis combined vaccine (DTwP), containing whole-cell pertussis vaccine (wP), was included in the national immunization program in 1978, leading to a significant reduction in pertussis incidence. In 2007, the diphtheria, tetanus, and acellular pertussis combined vaccine (DTaP), with a proven better tolerance profile, began to be gradually used, completely replacing DTwP by 2012 (4, 5). The reported vaccination coverage for the three doses has consistently remained above 99%. However, since the 1980s, countries with high vaccine coverage, such as the United States, the United Kingdom, and Australia (6), have reported increases in pertussis cases. China also faced this public health issue after 2011. From 2006 to 2010, the annual reported incidence of pertussis in China decreased to 0.2/100,000 (7). Recently, the reported incidence has shown an upward trend, rising to between 0.32 and 2.15/100,000 from 2018 to 2021 (8). The reported incidence rate reached 2.71 per 100,000 in 2022, the highest level since 1989. Among them, 52.67% were children aged 0–4, 40.75% were children aged 5–9, and 7.06% were people aged 10 and older (9). The incidence of pertussis among adolescents and adults in China is severely underestimated due to atypical symptoms (10).
Pertussis toxin (PT) is unique to Bordetella pertussis (11), and plays a crucial role during the course of pertussis. As one of the primary immunogenic components of the vaccine, antibodies against pertussis toxin serve as indicators for evaluating immune response and for serological diagnosis. Elevated levels of pertussis IgG in the serum of healthy individuals can be regarded as sensitive indicators of recent pertussis infection, and also can be used as one of the indicators for monitoring the vaccine efficacy in individuals who have received the DPT vaccine. Additionally, serological monitoring can help identify mild and atypical cases, allowing for a better estimation of the overall pertussis infection levels in the population (12).
To understand the antibody levels of pertussis in the healthy population of Hangzhou, this study collected serum samples from the healthy population of Hangzhou from 2021 to 2024, retrospectively analyzed the test results and explored the influencing factors, providing a certain scientific basis for the improvement of pertussis prevention and control strategies.
Subjects and methods
2
Research object
2.1
From 2021 to 2024, the survey sites were different and randomly selected each year, namely Fuyang District, Tonglu County, Binjiang District, and Gongshu District, totaling four districts or counties. A multi-stage stratified sampling method was used to select the resident healthy population as study subjects, categorizing participants into 11 age groups (<1, 1-, 2-, 3-, 5-, 7-, 10-, 15-, 20-, 30-, ≥40). And select several streets according to age groups for the selection of research subjects. Based on the sample size calculation formula: (p = 33.3%, d = 0.1, α = 0.05),and considering a reported positive rate of 33.3% for pertussis IgG antibodies (13), a sample size of 328 was calculated for each district, ensuring that each age group included at least 30 participants. Exclusion criteria: individuals who refused to sign the informed consent form or who did not cooperate with the surveillance process. Basic demographic information, including age, gender, vaccination history related to pertussis, and the time interval since the last vaccination, was collected from the Zhejiang Province Immunization Information System. Blood samples were collected from the study subjects to detect pertussis IgG antibodies.
Research methods
2.2
All included participants were informed about the study’s purpose and completed a survey questionnaire. Subsequently, 2 mL of peripheral venous blood was drawn, and the samples were centrifuged at 3,000 rpm for 5 min to separate the serum. The isolated serum was stored in cryogenic tubes at −80 °C for long-term preservation. Antibody titers were measured using the WHO-recommended ELISA method. For the period from 2021 to 2024, the reagent kit batch number was EM0253. A concentration of pertussis IgG antibodies below 40 U/mL was considered negative, between 40 and 50 U/mL was classified as a critical value, and above 50 U/mL was deemed positive. Due to the fact that the critical antibody concentration is commonly interpreted as an indicator of waning immunity, which may not provide sufficient protective effects (14), this study assigns the critical value to the negative group for pertussis antibodies. This aims to more directly observe the susceptibility levels of the population to the disease. The definition range of positive and negative results for pertussis IgG antibody were defined according to the instructions of the test kit. And the positive means past pertussis infection, successful vaccination or immunoglobulin recipient. All kits used were sourced from Virion/Serion GmbH, Germany.
Statistical analysis
2.3
The data were organized using Microsoft Excel 2020 software, and the overall and subgroup positive rates of pertussis IgG antibodies and GMC were calculated using SPSS version 27. For univariate analysis, the χ^2^ test (or Fisher’s exact probability method) and t-test (or analysis of variance) were employed. For inter-group comparisons, multiple comparison tests were conducted. If the data followed a normal distribution, ANOVA was selected, followed by Tukey’s test for post-hoc comparisons; otherwise, the Kruskal–Wallis test was used, with Bonferroni correction applied. Multivariate analyses were conducted using logistic regression and generalized linear model analysis. A p-value < 0.05 was considered statistically significant.
Ethical research
3
This study has obtained ethical approval from the Medical Ethics Committee of the Hangzhou Center for Disease Control and Prevention (Hangzhou Institute of Health Inspection) (Approval Number: 2021-18). Under the technical guidance of the local Center for Disease Control and Prevention and health institutions, the notification and sample collection processes in each district or county were ensured. All target participants (parents) were fully informed about the study content and signed informed consent forms before the study commenced.
Results
4
Overall pertussis antibody levels
4.1
A total of 1,352 participants were included in the study, with males and females comprising 48.37% (654/1,352) and 51.63% (698/1,352), respectively. The urban and rural populations represented 49.19% (665/1,352) and 50.81% (687/1,352). The overall positive rate of pertussis antibodies in the healthy population was 37.50%, with the GMC of 51.54 U/mL (95% CI: 47.82–55.34).
Pertussis antibody levels among different year groups
4.2
Statistically significant differences in the positive rates and GMC values of pertussis IgG were observed among different years (χ^2^ = 71.03, H = 106.65, p < 0.01). The antibody positive rate exhibited a trend of first increasing and then decreasing over the years, with the highest positive rate recorded in 2023 at 53.43%. According to multiple comparison results, the pertussis GMC in 2023 was significantly higher than in other years (p < 0.05), measuring 72.06 U/mL (95% CI: 65.87–86.25) (see Tables 1, 2).
Pertussis antibody levels in different gender groups
4.3
The positive rate of pertussis IgG in males was 39.6%, while in females it was 35.53%, with no statistically significant difference observed (χ^2^ = 2.39, p = 0.12). The GMC was 54.22 IU/mL (95% CI: 48.48–59.96) for males and 48.02 U/mL (95% CI: 44.08–53.97) for females, also showing no statistically significant difference (H = 0.60, p = 0.44) (see Tables 1, 2).
Pertussis antibody levels among different age groups
4.4
Statistically significant differences in the positive rates and GMC values of pertussis IgG were observed among different age groups (χ^2^ = 88.89, H = 85.27, p < 0.01). With the increase of age, the positive rates and GMC exhibited a trend of initially increasing, then decreasing, and subsequently increasing again. The top three positive rates were the 2-year-old group, the 1-year-old group, and the 3-year-old group, which were 61.29, 50.41, and 45.08% respectively; The top three GMC values were the 2-year-old group, the 1-year-old group and the 3-year-old group, which were 99.01 U/mL (95% CI:77.94–118.08), 87.60 U/mL (95% CI:66.75–108.45) and 61.76 U/mL (95% CI:49.20–74.32) respectively. According to multiple comparison results, the GMC for the 1-year-old group was significantly higher than that of the group <1-year-old group and the ≥5-year-old group, while the GMC for the 2-year-old group was significantly higher than all other age groups except for the 1-year-old group (p < 0.05) (see Tables 1, 2).
Pertussis antibody levels in different district groups
4.5
The positive rate of pertussis IgG in urban areas was 37.74%, while in rural areas it was 37.26%, with no statistically significant difference observed (χ^2^ = 0.03, p = 0.86). The GMC was 54.44 U/mL (95% CI:48.37–60.50) for urban areas and 48.73 U/mL (95% CI:44.19–53.27) for suburban areas, also showing no statistically significant difference (H = 0.30, p = 0.58) (see Tables 1, 2).
Pertussis antibody levels among different immunization history groups
4.6
Statistically significant differences in the positive rates and GMC values of pertussis IgG were observed among the different vaccination history groups (χ^2^ = 49.10, H = 61.04, p < 0.01). A total of 65.09% (880/1,352) of the participants had a definite history of vaccination, 2.74% (37/1,352) had no history of vaccination, and for 32.17% (435/1,352), the vaccination history was undetermined. The highest antibody positive rate was found in the population who received four doses of pertussis-related vaccine, and the lowest was in those who received only one dose, which were 47.34% and 10.00% respectively; The highest GMC value was in the population with three doses, and the lowest was in the population with two doses, which were 62.56 U/mL (95% CI:54.57–70.56) and 14.93 U/mL (95% CI:3.72–26.13) respectively. According to multiple comparison results, the GMC values for individuals receiving three and four doses were significantly higher than those for unvaccinated individuals or those with unclear vaccination history (p < 0.05) (see Tables 1, 2).
Pertussis antibody levels among different intervals between primary and last doses groups
4.7
Statistically significant differences in the positive rates and GMC values of pertussis IgG were observed among the intervals between the first and last doses of vaccination (χ^2^ = 13.15, H = 22.64, p < 0.01). The positive rate and GMC value showed a downward trend with the increase of the interval time. The positive rate and GMC value of pertussis vaccination with an interval of less than 1 year were the highest, which were 47.88% 和 63.27 U/mL (95% CI:52.40–74.15) respectively (see Tables 1, 2).
Multiple-factor analysis
4.8
The results of logistic analysis indicated that the following factors significantly influenced the positive rate of pertussis IgG in the healthy population:1-year-old group, 2-year-old group, ≥20-year-old group, having an immunization history, and the time interval between the first and last doses of the vaccine < 1 year group and 1-year-group; Generalized linear model analysis revealed that factors affecting the GMC of pertussis IgG antibodies included district, age, 3-dose vaccination, 4-dose vaccination and unknown immunization history, as well as the group with the time interval between the first and last doses < 1 year and the 1-year- group (see Table 3).
Discussion
5
The phenomenon whereby pertussis, previously characterized by low incidence or minimal fluctuations, suddenly exhibits a sustained and significant increase in cases—even escalating to outbreaks—is referred to as the “reemergence of pertussis” (15). Since 2015, the annual reported cases and incidence rate of pertussis in China have shown a continuous upward trend, peaking in 2019. Although the number of pertussis cases declined after 2019, an upward trend was observed again starting in 2022. It is reported that from January to February 2024, the number of pertussis cases in China has reached 32,380, approaching the total number of cases reported in 2022. These data indicate that pertussis has once again become a public health concern (16). Therefore, this study selected the period from 2021 to 2024, during which serum pertussis antibodies were tested in 1,352 healthy individuals from four districts (counties) of Hangzhou. The aim was to assess the population-level pertussis immunity in the context of pertussis reemergence and to analyze associated influencing factors. The results showed that the overall pertussis seropositivity rate from 2021 to 2024 was 37.50%, which did not reach the national protective threshold of 75% based on pertussis IgG levels (17). This result is consistent with findings from other regions, such as those reported in studies conducted in Shanghai and Shijiazhuang (18, 19). The overall GMC was 51.54 U/mL (95% CI:47.82–55.34). In 2023, the levels of pertussis antibodies were the highest, with a positive rate and GMC of 53.43% and 72.06 U/mL (95% CI: 65.87–86.25), respectively. A systematic review indicates that COVID-19 is likely to have contributed to the decline in antibodies against specific pathogens. This decline is attributed to the significant reduction in population exposure to the external environment during the COVID-19 pandemic, which interrupted natural infections and led to decreased antibody levels (20). Additionally, during this period, routine vaccination rates for both children and adults significantly decreased, creating potential immunity gaps that could result in increased pertussis incidence (21). These two factors may, to some extent, explain the elevated levels of pertussis antibodies observed in 2023. There were no statistically significant differences in the positivity rates or GMC among different districts, suggesting a high coverage rate of pertussis vaccination.
There were statistically significant differences in pertussis antibody seropositivity rates and GMC values among different age groups. The results of this survey indicate that overall pertussis antibody levels peak in the 2-year-old group, followed by a declining trend with increasing age. According to the 2021 edition of the National Immunization Program for Children, three types of vaccines containing pertussis components are currently used in China: DTaP, DTaP-Hib, and DTaP-IPV/Hib. All are administered as a four-dose schedule, with primary immunization at 3, 4, and 5 months of age, and a booster dose at 18 months (22). The studies have shown that antibody levels peak within 1 year after children receive four doses of DTaP-containing vaccine, but decline significantly over the subsequent 1–2 years (23, 24). Moreover, a prospective study conducted abroad involving over 1,000 children aged 0–7 years over a decade period showed that the protective efficacy decreased to approximately 50% by the ages of 4 and 5 years (25). This finding is consistent with the results of the present survey, suggesting that the increase in antibody levels observed in the 1–2 year-age-group is primarily attributable to vaccine-induced immune responses. Multiple-factor analysis indicated that age is one of the key factors influencing pertussis antibody levels, with antibody levels decreasing as age increases. This finding is consistent with the conclusion of Wu et al. (26), which suggested that the duration of protection provided by the acellular pertussis vaccine is relatively limited, and its immunological effectiveness diminishes over time. These results suggest that the current vaccination strategy may not be sufficient to curb the spread of pertussis. Both domestic and overseas studies have reported that the actual infection and morbidity rates of pertussis among adolescents and adults are underestimated (27), and that pertussis antibody levels may decline to 0%–20% of the original level within decade (28). To address immunity in these populations, foreign experts have proposed a lifelong immunization strategy. On the basis of completing the original immunity program, an additional dose should be administered around the ages of 5, 10, and 20 respectively, and then every 10 years thereafter, in order to enhance the antibody levels of adolescents and adults (29). Furthermore, given that pertussis antibody levels among Chinese adults are low and maternal antibodies in newborns may be insufficient to protect against infection, some studies have recommended that pregnant women receive a booster dose during each pregnancy, either in the second or third trimester (30). This immunization strategy can help infants who have not obtained sufficient maternal protective antibodies to reduce the risk of pertussis.
Statistically significant differences were observed in pertussis antibody seropositivity rates and the GMC among individuals with different immunization histories. Receiving three or more doses of pertussis-containing vaccines was associated with higher antibody levels, and those who completed the full course of immunization exhibited higher antibody levels compared to those with only partial immunization. Previous studies have demonstrated that the overall protective efficacy of pertussis vaccines can reach 90.75% (31), making vaccination a major determinant of pertussis outcomes. The reemergence of pertussis is closely linked to the three key elements of infectious disease epidemiology: source of infection, transmission route, and susceptible population. While the increase in sources of infection and changes in transmission routes are difficult to control, a study of close contacts of pertussis cases found that 8%–83% of respiratory samples carried BP (32, 33), indicating that reducing the susceptible population is one of the most feasible and effective interventions. Completing the full immunization schedule reduces the number of susceptible individuals, promotes herd immunity, and interrupts transmission chains, thereby decreasing the number of sources of infection. The level of pertussis in patients with an unknown immunization history was relatively high in this research results. This might be due to the fact that most of the people in this study were older and had likely acquired natural infection during periods of pertussis circulation, which was similar to the results of related studies at home and abroad (34, 35). The protective effect of vaccination is not only related to the number of doses received, but also may be influenced by vaccine type and immunization schedule (36). The results of this study also support this view, indicating that the Intervals between primary and last vaccine doses is one of the factors influencing pertussis antibody levels. Intervals between primary and last. Therefore, to maintain vaccine-induced protection, it is essential to timely complete the full course of pertussis-containing vaccine immunization.
Our study has several limitations. First, the assay kit used in this study is a mixed antigen kit, which has relatively low specificity. While ELISA can measure antibody levels, there is no recognized standard for defining a protective titer for pertussis IgG. Due to its low specificity, this assay may lead to an underestimation of vaccine-induced protective efficacy. Additionally, this study only conducted a combined analysis of different types of pertussis-related vaccines (37, 38) and did not distinguish between the types of pertussis vaccines administered to the study population, which lacked further analysis of the immunological effects of different pertussis vaccines. Finally, as the Zhejiang Province immunization information system has only been in use since 2004, all vaccination histories in this study were obtained from this system. Therefore, the vaccination history for individuals in older age groups could not be verified.
In summary, variations in pertussis antibody levels are associated with district, age, immunization history, and the timing of vaccination. To prevent pertussis and address the issue of its reemergence, optimizing immunization program management in rural areas—where the GMC levels of pertussis antibodies are relatively low—may effectively reduce the risk of transmission between urban and rural populations. Furthermore, while ensuring adequate immunization coverage among children, greater attention should be paid to pertussis prevention in adolescents and adults, and efforts should be made to enhance the uptake of pertussis-related vaccines in these groups, thereby establishing a more effective pertussis prevention and control system. The development of new vaccines with longer duration of protection and higher immunogenicity will be crucial in addressing the issue of waning pertussis antibody levels.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Liu J Lu XL Zhu DS Huang J Zang P . Clinical features of pertussis and risk factors of severe pertussis in children. Chin Pediatr Emerg Med. (2022) 29:796–802. doi: 10.3760/cma.j.issn.1673-4912.2022.10.008 · doi ↗
- 2Yang YZ Cheng YY. Interpretation of the Chinese guidelines for diagnosis, treatment and prevention of pertussis (2024 edition). J Hebei Med Univ. (2025) 46:125–30. doi: 10.3969/j.issn.1007-3205.2025.02.001 · doi ↗
- 3Cao ZB Li YX Tang JH. Progress in pertussis resurgence and related vaccine research. Int J Biol Prod. (2025) 48:130–6. doi: 10.3760/cma.j.cn 311962-20240516-00028 · doi ↗
- 4Kuchar E Karlikowska-Skwarnik M Han S Nitsch-Osuch A. Pertussis: history of the disease and current prevention failure. Adv Exp Med Biol. (2016) 934:77–82. doi: 10.1007/5584_2016_21, 27256351 · doi ↗ · pubmed ↗
- 5Li HS Liang JL Yang JS. Epidemiological characteristics and prevention progress of pertussis. Chin J Biologicals. (2024) 37:361–9. doi: 10.13200/j.cnki.cjb.004188 · doi ↗
- 6Barkoff AM GRöNDAHL-YLI-HANNUKSELAK He Q. Seroprevalence studies of pertussis: what have we learned from different immunized populations. Pathog Dis. (2015) 73:ftv 050. doi: 10.1093/femspd/ftv 050, 26208655 · doi ↗ · pubmed ↗
- 7Wang HB Luo HM Wen N Hao LX Fan CX Ma C . Epidemiological analysis on pertussis in China during 2006-2010. Chin J Vacc Immun. (2012) 18:207–10. doi: 10.19914/j.cjvi.2012.03.004 · doi ↗
- 8Wu D Zheng H Li MS. Epidemiology of pertussis in China, 2018-2021. Chin J Vacc Immun. (2022) 28:638–43. doi: 10.19914/j.CJVI.2022119 · doi ↗
