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PLOS One logoLink to PLOS One
. 2024 Sep 30;19(9):e0311362. doi: 10.1371/journal.pone.0311362

Seroprevalence of Bordetella pertussis infection in children 1–14 years old: Indonesia basic health research (Riskesdas) 2013 and 2018 data

Monica Dwi Hartanti 1,2,3,*, Novaria Sari Dewi Panjaitan 1, Sunarno Sunarno 1, Nathalia Ningrum 4, Armedy Ronny Hasugian 5, Rita Marleta Dewi 1, Sarwo Handayani 1, Masri Sembiring Maha 1, Firda Fairuza 4, Meiriani Sari 4, Dita Setiati 4, Christina Safira Whinie Lestari 1
Editor: Daniela Flavia Hozbor6
PMCID: PMC11441644  PMID: 39348411

Abstract

Bordetella pertussis infection is a highly contagious respiratory disease that can cause complications such as pneumonia and death. A total of 62,646 cases of pertussis worldwide were reported by WHO in 2022. This study aimed to obtain the pertussis seroprevalence and sociodemographic data in children aged 1–14 years and its association factors in the community based on Riskesdas 2013 and 2018. Bivariate and multivariate analysis was carried out on data from 12,753 children aged 1–14 years collected from Riskesdas 2013 and 2018 in Indonesia. Pertussis serology data was obtained based on the results of the ELISA examination which was categorized as seropositive if anti-pertussis toxin IgG ≥ 100 IU/mL or anti-pertussis IgG > 11 NTU. Pertussis seropositive indicated recent pertussis infection if no pertussis vaccine was received within the last twelve months. Pertussis seroprevalence was found at 9.8% and 33.4% in Riskesdas 2013 and 2018 respectively. While 10.1% of children aged 5–14 years were found pertussis seropositive by excluding the possible effect of vaccination in the last twelve months in Riskesdas 2013. The most important associated factor in seropositive pertussis at ages 1–4 years and 5–14 years was a history of pneumonia in the last month (OR = 2.709, 95%CI: 2.592–2.831 in Riskesdas 2013 and OR = 2.421, 95%CI: 2.299–2.550 in Riskesdas 2018). In the adjusted analysis for respondents’ characteristics, low maternal education was the predictive factor that most influenced pertussis seropositivity, especially in the 2013 Riskesdas (APOR = 2.983, 95%CI: 2.670–3.333). In conclusion, the results of this study showed that the seroprevalence of pertussis was high, especially in children aged 5–14 years, so that pertussis vaccine booster administration could be considered. Because the most influencing factor towards pertussis seropositive was low maternal education, the groups of children with low-educated mothers should be targets for strengthening complete vaccination coverage and disease control.

Introduction

Pertussis is caused by Bordetella pertussis, also known as whooping cough, which is a highly contagious respiratory ailment [1]. Symptoms usually develop 7 to 10 days after infection. They include a mild fever, runny nose, and cough, which in most cases progresses to a hacking cough followed by whooping (hence the common name whooping cough). Pneumonia is a common complication, while seizures and brain disease seldom occur [2, 3]. The recurrence of newborn pertussis is of particular concern since infants are most vulnerable to severe morbidity and mortality, especially before they complete their first pertussis immunization series [4]. The World Health Organization (WHO) reported 62,646 cases of pertussis worldwide in 2022, China had the highest number of cases (38,295) [5]. A low number of pertussis cases were reported in Indonesia recently. However, there were more than 1,000 cases reported in Indonesia in 2017, 2014, and 2013 [6, 7]. Apart from that, pertussis cases in the field are considered to be higher than those reported based on the Indonesian Ministry of Health (Kemenkes RI) data and previous studies [7, 8].

Immunization is the most effective method of preventing pertussis. The incidence of severe pertussis in infants is reduced by the three-dose primary series diphtheria-tetanus-pertussis (DTP3) vaccinations [2]. In 2021, WHO reported about 81% (105 million infants) of the target population worldwide have gotten the advised three doses of the DTP-containing vaccination during infancy [9]. Indonesia has implemented the Expanded Program Immunization (EPI) basic immunization program for diphtheria, pertussis, and tetanus (DTwP) since 1976 with high immunization coverage for infants. Since 2018, the Indonesian Ministry of Health (Kemenkes RI) has changed the concept of complete basic immunization to complete routine immunization. Pertussis-containing vaccine is given in three doses to infants 2, 3, and 4 months, then 1 booster dose is added at 18 months, for continued immunization. The pertussis-containing vaccine in Indonesia is given in the form of whole cell pertussis vaccine (wP) and combined with diphtheria toxoid, tetanus toxoid, hepatitis B, and Haemophilus influenzae b [10, 11].

The evaluation of preventable infection diseases, vaccination achievements, and child immunity regularly, is very important for global vaccine policy information and improvement of program implementation, towards the targets set by the Global Vaccine Plan (GVAP) and the 2030 Immunization Agenda [12, 13]. The Indonesian Ministry of Health (Kemenkes RI) carried out basic health research (Riskesdas) in 2013 and 2018 which provided data on immunization coverage and serology for several diseases that can be prevented by immunization, including pertussis. The data on pertussis seropositive was available in children 1–14 years old which represented the national data of Indonesia with a large-scale survey sample in the community. The objective of this study was to estimate the seroprevalence of pertussis and sociodemographic data of children aged 1–14 years in the community and its association factors based on Riskesdas 2013 and 2018 data. The information is important as evidence-based in formulating an effective immunization strategy in the future.

Materials and methods

Study design and samples

This research is a further analysis of the data collected in the Riskesdas 2013 and 2018. Data were obtained from the Centre of Data and Information, of the Health Development Policy Agency, Ministry of Health, Indonesia [14]. The Riskesdas was carried out periodically every five years using a cross-sectional design, which represented the community on a national scale. The data provided consists of unique ID numbers for each research subject, which were not linked to individual identity data, ensuring the anonymity of the research subjects’ data. The outline of samples was planned based on calculations from the Indonesian Central Statistics Agency (BPS) by implies of multistage sampling through the stages as detailed in the national reports of the Riskesdas 2013 and 2018 [1517]. Data from structured interviews and measurements on selected household and individual samples were then subjected to further analysis. The samples used for further analysis were children 1–14 years old who had undergone serological examination.

Blood samples in the Riskesdas 2013 and 2018 were taken from healthy individuals in the community, from all provinces in Indonesia, aged one year and above, and who met the inclusion criteria during the survey period. However, serological testing for anti-Pertussis IgG was only performed on children aged 1–14 years to assess immune response and the risk of pertussis infection, which would be linked to data on immunization history, history of acute respiratory infection, and pneumonia. In Riskesdas 2013, of the 7,229 blood serums of children aged 1–14 years examined for anti-PT antibodies, there were 6,542 (90.5%) who had completed the questionnaire data. In addition, the anthropometry measurements were complete and could be linked to the examination data ELISA for analysis. Meanwhile, at Riskesdas 2018, of the 7,032 tested for anti-Pertussis IgG antibodies, there were 6,211 (88.3%) who met the requirements for analysis. Out of the total samples, the toddler samples aged 1–4 years old were 568 (8.6%) children (in 2013) and 992 (15.97%) children (in 2018). The sample represented urban and rural areas nationwide [16, 17].

Pertussis serology data was obtained from the results of the Enzyme-Linked Immunosorbent Assay (ELISA) examination conducted at the research laboratory of the National Institute of Health Research and Development, Indonesian Ministry of Health. The serological examination of pertussis performed in the Riskesdas 2013 and 2018 used a semi-qualitative commercial ELISA with NovaLisa B. pertussis toxin (PT) IgG (Cat No; BPTG0610, NovaTec Immundiagnostica GmbH, Germany) and NovaTec B. pertussis IgG (Cat No; BOPG0030, NovaTec Immundiagnostica GmbH, Germany) reagents for the detection of anti-Pertussis IgG and was interpreted according to the manufacturer’s instructions. ELISA results were categorized as pertussis seropositive if anti-pertussis toxin IgG ≥ 100 IU/mL (in Riskesdas 2013) or anti-pertussis IgG > 11 NovaTec Unit (NTU) (in Riskesdas 2018). This parameter indicated a recent pertussis infection if no pertussis vaccine was received within the last twelve months.

Operational definitions

Complete pertussis immunization for data analysis in the Riskesdas 2013 and 2018 namely three doses of pertussis vaccine given to infants 2, 3, and 4 months together with Hepatitis B vaccine in the form of the DTwP-HB combo (in 2011) which was replaced by DTwP-HB-Hib pentavalent (Biofarma Indonesia) in 2015 [18, 19]. Positive acute respiratory infection (ARI) and pneumonia based on the confession of a respondent or guardian, who in the last month, had a history of symptoms or had been diagnosed by a health worker. Economic status was measured by expenditure quintiles, namely the grouping of expenditures into five equal groups after being sorted from smallest to largest expenditure. Quintiles 1–2 were classified as poor, quintiles 3–4 as middle class, and quintile 5 as rich. The measurement of nutritional status in children 1–14 years was used based on the body mass index (BMI) for age. The BMI Z-score of undernutrition status is < -2.0; whereas the BMI Z-score of normal nutrition is +2.0 to -2.0; and overnutrition status means a combination of excess nutrition and obesity, with BMI Z-score > +2.0 [2022]. Maternal education is categorized into 3 levels, namely low for those without school, medium for elementary to high school, and high for diploma-1 (D1) to college.

Statistical analysis

At the time of analysis, authors used “weighting” which had been carried out by the Centre of Data and Information, of the Health Development Policy Agency, Ministry of Health, Indonesia. Descriptive analysis was carried out to identify the characteristics of the respondents and association factors of pertussis seropositivity, including age, sex, DTwP immunization status, history of acute respiratory infection, pneumonia, nutrition status, family economic level, and maternal education level. Sample grouping was performed on several research variables to answer the purpose of further analysis. Grouping for ages 1–4 and 5–14 years was carried out to minimize data bias due to the possible effect of vaccination on seropositivity at ages 1–4 years. The Prevalence Odds Ratio (POR) was assessed using the single logistic regression test. The multivariate test was performed to identify factors that associated with the seroprevalence of pertussis. All the unknown data was not included in the further analysis. The analysis was performed using StataCorp software version 16.4.

Ethical consideration

This further analysis used secondary data, which was not linked to the research subjects, thus it did not require ethical clearance. Consent to utilize and analyze the dataset was obtained by submitting a research proposal to the Centre of Data and Information, the Health Development Policy Agency (Indonesia: Pusat Data dan Informasi, Badan Kebijakan Pembangunan Kesehatan), Ministry of Health, the Republic of Indonesia via email: datin.bkpk@kemkes.go.id.

Results

The general characteristics of the respondents analyzed in the 2013 and 2018 Riskesdas are shown in Table 1. The respondents of the Riskesdas 2013 mostly lived in rural areas (51.3%), while in the Riskesdas 2018, respondents mostly lived in urban areas (66.5%). The proportion of respondents was higher in the boy group, aged 5–14 years, poor-middle economic status, normal nutrition, completed immunization status, and medium maternal education level both in Riskesdas 2013 and 2018. The proportion of toddlers (1–4 years old) with complete immunization status in the Riskesdas 2013 was 74.6%, meanwhile in the Riskesdas 2018 was 78.3%. Maternal education level was more commonly found in the middle category, followed by low and high education in each Riskesdas. Most respondents had no history of suffering from acute respiratory infection (ARI) or pneumonia in the last month (Riskesdas 2013 and 2018 data).

Table 1. Distribution of the respondents according to their characteristics in the Riskesdas 2013 and 2018.

Characteristic
Riskesdas 2013 Riskesdas 2018
Demographic n N Percentage (%) n N Percentage (%)
Area
Urban 2,940 1,324,240 48.7 3,752 2,696,317 66.5
Rural 4,170 1,394,848 51.3 3,451 1,357,397 33.5
Sex
Boy 3,664 1,401,863 51.6 3,815 2,094,626 51.7
Girl 3,446 1,317,226 48.4 3,388 1,959,088 48.3
Age group (years old)
1–4 568 229,958 8.50 992 590,559 14.5
5–14 6,542 2,489,131 91.50 6,211 3,463,155 85.5
Family economy status
Poor 2,980 1,003,564 36.9 3,012 1,586,223 45.8
Middle class 3,061 1,296,653 47.7 2,264 1,278,372 36.9
Rich 1,069 418,871 15.4 919 600,336 17.3
Unknown 0 1,008
Nutritional status
Undernutrition 640 214,351 9.19 543 295,108 7.3
Good nutrition 5,138 1,984,818 85.08 6,016 3,391,459 84.3
Overnutrition 346 133,776 5.73 583 335,289 8.3
Unknown 986 61
Complete DTP immunization status (1–4 years old)
Complete 375 151,225 74.6 658 386,418 78.3
Uncomplete/Unknown 110 51,408 25.4 167 107,222 21.7
Unknown 83 167
Acute Respiratory Infection in last month
Yes 2,044 804,431 29.6 892 536,626 13.2
No 5,065 1,914,253 70.4 6,311 3,517,088 86.8
Unknown 1 0
Pneumonia in last month
Yes 336 143,017 5.3 25 16,340 0.4
No 6,754 2,567,503 94.7 7,047 3,964,716 99.6
Unknown 20 131
Maternal Education Level
Low 1,153 394,894 16.1 796 428,071 11.6
Medium 4,916 1,966,464 80.2 5,270 3,046,483 82.52
High 255 90,821 3.7 408 217,269 5.89
Unknown 786 729

n: unweighting samples, N: weighting samples

Since pertussis is a vaccine-preventable disease, we conducted an analysis of pertussis seropositivity in relation to the immunization status of respondents, which was only available for the 1–4 years age group. Table 2 showed the results of statistical analysis on pertussis seropositive respondents with complete DTwP immunization status. Pertussis seropositive was found in 9.8% respondents which 7.4% were at aged 1–4 years and 10.1% at aged 5–14 years in Riskesdas 2013 subjects. Meanwhile, in the Riskesdas 2018, seropositive pertussis was found in 33.4% of respondents, which 49.3% were aged 1–4 years and 30.7% were aged 5–14 years. In both Riskesdas 2013 and 2018, the complete DTwP immunization status based on age showed a similar proportion, with the highest being at one year of age. In Riskesdas 2013, respondents aged 1–4 years with a complete DTwP immunization history, the highest proportion of seropositive pertussis was in children aged one year (14.3%). Meanwhile, in Riskesdas 2018, the highest proportion of seropositive pertussis was at the age of four years (60.3%) (Table 2).

Table 2. The pertussis seropositive in respondents with complete immunization based on age*.

  Age (Years Old) Riskesdas 2013 Riskesdas 2018
  n N % POR (95%CI) n N % POR (95%CI)
Pertussis Seropositive
  1–4 568 229,958 7.40 ref 991 590,060 49.30 ref
  5–14 6,542 2,489,131 10.10 1.394
(1.372–1.416)
6,207 3,461,040 30.70 0.456
(0.453–0.459)
Total 7,110 2,719,089 9.80 - 7,203 4,051,100 33.40 -
Complete DTwP immunization status
  1 y.o 72 31,876 82.60 ref 184 107,109 85.80 ref
  2.y.o 111 45,955 80.50 0.865
(0.833–0.898)
189 127,119 81.90 0.748
(0.732–0.765)
  3 y.o 131 54,913 70.10 0.492
(0.475–0.509)
226 127,435 73.70 0.463
(0.453–0.473)
  4 y.o 171 69,889 70.70 0.508
(0.491–0.525)
226 131,977 73.10 0.448
(0.439–0.458)
Pertussis seropositive in respondent with complete immunization
  1 y.o 53 26,339 14.30 1.899
(1.714–2.103)
158 91,427 49.10 1.191
(1.150–1.233)
  2.y.o 91 36,973 2.30 0.520
(0.460–0.588)
155 103,129 53.40 1.247
(1.212–1.284)
  3 y.o 100 38,474 9.30 0.592
(0.560–0.625)
182 93,936 48.10 1.547
(1.508–1.587)
  4 y.o 131 49,439 5.20 0.570
(0.535–0.606)
162 96,427 60.30 1.344
(1.312–1.378)

*Simple Logistic Regression Test, n: unweighting samples, N: weighting samples, POR: Prevalence Odds Ratio

Furthermore, for determining the relationship between pertussis seroprevalence and respondent characteristics in all data of Riskesdas 2013 and 2018, multivariate analysis was conducted. Results showed that low maternal education was the predictive factor that most influences pertussis seropositivity after other variables were controlled, especially in Riskesdas 2013 (APOR = 2.983, 95% CI: 2.670–3.333) (Table 3).

Table 3. The association between pertussis seroprevalence and respondent characteristics in Riskesdas 2013 and 2018#.

Characteristics n %
Positive
%
Negative
POR (95%CI) p APOR (95%CI) p
           
Riskesdas 2013
Area
Urban 2,940 9.7 90.3 1.037
(1.029–1.046)
0.713 1.142
(1.095–1.190)
0.000
  Rural 4,170 10 90 ref       
Sex
Girl 3,446 9.7 90.3 1.024
(1.016–1.032)
0.000 0.588
(0.567–0.610)
0.000
  Boy 3,664 9.9 90.1 ref       
Age Group (years old)
1–4 568 7.4 92.6 1.394
(1.372–1.416)
0.000    
  5–14 6,542 10.1 89.9 ref       
Family Economy Status
Poor 2,980 11.5 88.5 1.042
(1.030–1.054)
0.000 0.96
(0.907–1.016)
0.161
  Middle Class 3,061 8.1 91.9 0.707
(0.696–0.715)
  0.773
90.688–0.760)
0.000
  Rich 919 33.7 66.1 ref      
Nutritional Status
Undernutrition 640 9.4 90.6 1.084
(1.067–1.1)
0.000 0.301
(0.254–0.357)
0.000
  Normal Nutrition 5,138 10.1 89.9 0.928
(0.906–0.951)
0.000 1.817
(1.681–1.963)
0.000
  Overnutrition 346 8.8 91.2 ref      
Complete DTP Immunization Status (1–4 years old)
Incomplete/Unknown 110 9.8 90.2 1.422
(1.373–1.472)
0.000 1.539
(1.482–1.599)
0.000
  Complete 375 7.1 92.9 ref      
History of Acute Respiratory Infection in the Last Month
Yes 2,044 10 90 1.022
(1.013–1.031)
0.000 1.109
(1.068–1.152)
0.000
  No 5,065 9.8 90.2 ref      
History of Pneumonia in the Last Month
Yes 336 13.1 86.9 1.410
(1.387–1.432)
0.000 1.979
(1.887–2.086)
0.000
  No 6,754 9.6 90.4 ref       
Maternal Education Level
Low 1,153 10.92 89.08 1.226
(1.196–1.257)
0.007 2.983
(2.670–3.333)
0.000
  Medium 4,916 9.8 90.2 1.086
(1.061–1.112)
0.000 1.383
(1.215–1.531)
0.000
  High 255 9.09 90.91 ref      
Riskesdas 2018
Area
Urban 3,752 33.4 66.6 0.999
(0.995–1.003)
0.000 1.226
(1.209–1.244)
0.000
  Rural 3,446 33.4 66.6 ref       
Sex
Female 3,812 33.1 66.9 1.029
(1.025–1.034)
0.000 1.096
(1.083–1.111)
0.000
  Male 3,386 33.8 66.2 ref       
Age Group (years old)
1–4 991 49.3 50.7 0.456
(0.454–0.459)
0.000    
  5–14 6,207 30.7 69.3 ref       
Family Economy Status
Poor 3,010 31.5 68.5 0.912
(0.906–0.918)
0.000 0.697
(0.684–0.684)
0.000
  Middle Class 2,261 36.5 63.5 1.141
(1.134–1.149)
  1.135
(1.114–1.157)
0.000
  Rich 919 33.7 66.1 ref      
Nutritional Status
Undernutrition 543 37.4 62.6 0.597
(0.593–0.601)
0.000 1.042
(1.009–1.077)
0.000
  Good Nutrition 6,012 32.9 67.1 0.489
(0.488–0.490)
0.000 1.463
(1.429–1.499)
0.000
  Overnutrition 582 34.8 65.2 ref      
Complete DTP Immunization Status (1–4 years old)
Incomplete/Unknown 167 45.9 54.1 0.758
(0.748–0.768)
0.000 0.855
(0.842–0.868)
0.000
  Complete 657 52.8 47.2  ref      
Acute Respiratory Infection in the Last Month
Yes 891 31.8 68.2 0.918
(0.912–0.924)
0.000 0.732
(0.719–0.746)
0.000
  No 6,307 33.7 66.3 ref       
Pneumonia in the Last Month
Yes 25 36.9 63.1 1.155
(1.119–1.192)
0.000 0.613
(0.582–0.646)
0.000
  NO 7,042 33.6 66.4 ref       
Maternal Education Level
Low 795 33.1 66.9 1.015
(1.004–1.026)
0.007 1.181
(1.751–1.879)
0.000
  Medium 5,268 32.3 67.7 0.927
(0.92–0.937)
0.000 1.343
(1.309–1.378)
0.000
  High 407 33.7 66.3 ref       

#Multiple Regression Logistic Test, n: unweighting samples, POR: Prevalence Odds Ratio, APOR: Adjusted Prevalence Odds Ratio.

Table 4 shows the multivariate analysis that was carried out in the Riskesdas 2013 and 2018 data to determine the association factors of pertussis seroprevalence with respondent characteristics. Data were divided into two groups based on age 1–4 and 5–14 years to distinguish complete DTwP immunization history data which was only available in children aged 1–4 years. The results of this study showed that several factors such as history of pneumonia in the last month (POR = 2.709, 95%CI: 2.592–2.831), history of acute respiratory infection in the last month (POR = 2.043, 95%CI: 1.980–2.108) and nutrition status (POR = 2.186, 95%CI: 1.978–2.416) were the factors that played the most role in differentiating the incidence of seropositive pertussis in children aged 1–4 years and 5–14 years compared to other variables in the Riskesdas 2013. Meanwhile, in Riskesdas 2018, the history factor pneumonia in the last month (POR = 2.421, 95%CI: 2.299–2.550) played a greater role compared to other variable factors, when observed from the prevalence odds ratio value. In addition, the history of pneumonia and history of acute respiratory infection in children with seropositive pertussis was higher in children aged 1–4 years compared to those aged 5–14 years, both in Riskesdas 2013 and 2018. Although the results of the statistical analysis also indicated the role of nutrition in the immune response to vaccination, which was indicated by the high proportion of pertussis seropositive in children aged 1–14 years with good nutrition compared to malnutrition. However, after adjusting for other variables, the history of pneumonia played a more important role (Table 4).

Table 4. The association between respondent characteristics and pertussis seropositive based on age groups 1–4 years and 5–14 years in Riskesdas 2013 and 2018.

Riskesdas 2013 Riskesdas 2018
n 1–4 5–14 P POR (95%CI) APOR
(95%CI)
P n 1–4 5–14 P POR
(95% CI)
APOR
(95%CI)
p
Area
Urban 268 48.4 47.8 0.139 1.024
(0.992–1.056)
0.770
(0.742–0.799)
0.000 1209 72.8 64.9 0.000 1.448
(1.435–1.461)
1.392 (1.378–1.407) 0.000
Rural 420 51.6 52.2 1144 27.2 35.1
Sex
Female 346 40.7 48.4 0.000 0.732
(0.710–0.756)
0.652 (0.630–0.676) 0.000 1124 47.1 52.3 0.000 0.812
(0.806–0.819)
0.786 (0.779–0.793) 0.000
Male 342 59.3 51.6 1229 52.9 47.7
History Pneumonia in the Last Month
Yes 37 15.7 6.4 0.000 2.709
(2.592–2.831)
1.772
(1.683–1.865)
0.000 5 0.8 0.3 0.000 2.421
(2.299–2.550)
1.878 (1.782–1.978) 0.000
No 647 84.3 93.6 2312 99.2 99.7
History Acute Respiratory Infection in the Last Month
Yes 188 45.4 29.0 0.000 2.043
(1.980–2.108)
1.994 (1.925–2.066) 0.000 274 14.1 12.2 0.000 1.190
(1.176–1.204)
1.233 (1.217–1.250) 0.000
No 500 54.6 71.0 2079 85.9 87.8
Family Economic Status
Poor 327 38.8 43.5 0.000 1,233
(1,181–1,288)
0.451 (0.428–0.476) 0.000 949 39.4 43.7 0.000 1.321
(1.305–1.337)
0.904 (0.891–0.917) 0.000
Medium 258 42.2 39.2 0.385 1,019
(0.976–1,064)
0.622 (0.593–0.653) 0.000 777 40.9 39.7 0.000 1.158
(1.143–1.172)
0.920 (0.908–0.933) 0.000
Rich 103 19.0 17.3 ref 303 19.7 16.6
Nutrition Status
Undernutrition 58 4.6 9.0 0.000 2,186
(1,978–2,416)
0.398 (0.356–0.445) 0.000 191 7.2 8.5 0.000 1.043
(1.022–1.066)
0.944 (0.922–0.966) 0.000
Normal nutition 506 89.9 86.0 0.079 1,065
(0.993–1,142)
1.174 (1.087–1.269) 0.000 1939 85.0 82.6 0.000 0.851
(0.838–0.865)
1.124 (1.105–1.143) 0.000
Overnutrition 36 5.6 5.0 ref 194 7.8 8.9
Maternal Education Level
Low 118 24.0 17.2 0.000 1.226
(1.196–1.257)
1.185 (1.062–1.323) 0.003 263 7.7 13.5 0.000 0.418
(0.409–0.427)
0.538 (0.525–0.551) 0.000
Medium 481 73.2 79.4 0.000 1.087
(1.062–1.112)
0.902 (0.814–1.001) 0.052 1703 84.6 80.9 0.000 0.767
(0.753–0.778)
0.829 (0.813–0.845) 0.000
High 20 2.8 3.4 ref 137 7.7 5.6

n: unweighting samples, POR: Prevalence Odds Ratio, APOR: Adjusted Prevalence Odds Ratio.

Discussion

Riskesdas is a periodic national health survey every five years that collects abundant variable data, which aims to provide an overview of the health status of the Indonesian population during the survey period. So, there were limited data that could be analyzed for this study, not all the required variables were available, including the history of pertussis vaccination for children aged 5–14 years. In addition, in 2017–2018, outbreak response immunization (ORI) was carried out with the DTwP vaccine in children aged 1–5 years due to the diphtheria outbreak in Indonesia. Unfortunately, there was no data related to information about ORI recipients in the Riskesdas 2018. This might lead to bias in determining whether the increase in pertussis IgG was a result of vaccination or natural infection, particularly in Riskesdas 2018 data. In addition, although the pertussis serological examination method used in the Riskesdas 2013 and 2018 was similar (ELISA). However, the kits were different, including the cut-off values and seropositivity units.

The age group was divided into two (1–4 years and 5–14 years) because data on immunization history was only available for children aged 1–4 years. Specifically, the Riskesdas 2013 data could provide an overview of pertussis infection in children aged 5–14 years, because there was no history of pertussis vaccination in the last twelve months. This is related to the routine immunization program for pertussis in Indonesia involved administering three doses of the DTP vaccine, in the form of a whole-cell pertussis; at two, three, and four months of age. However, since 2018, a booster dose of the DTP vaccine at 18 months of age was included in the immunization program [7, 10, 11]. In the Riskesdas 2013 and 2018 data, the routine immunization program of the Indonesian government for pertussis still consisted of three doses of the DTP vaccine. However, from late 2017 to 2018, there was additional DTwP vaccination for children aged 1–5 years in response to the diphtheria outbreak, so it was likely to influence the seropositive pertussis data in the Riskesdas 2018. During the year 2017, Indonesia experienced a diphtheria outbreak in 170 districts/cities and 30 provinces, with a total of 954 cases and 44 deaths. Consequently, an outbreak response immunization (ORI) program was implemented to break the chain of transmission through vaccination. The vaccination containing pertussis was provided in the ORI program in the form of pentabio vaccine (DTP-HB-Hib vaccine), targeting children aged 1–5 years. The ORI program started in December 2017 in 12 districts/cities and continued gradually in 73 districts/cities across 11 other provinces in 2018 [23]. The addition of pertussis-containing vaccinations since 2017, it might affect the results of anti-pertussis Toxin IgG in the Riskesdas 2018 [24, 25].

The studies conducted by Alexandre Pereira et al. and Nasamon Wanlapakorn et al. in Brazil and Thailand also showed that children with a history of complete DTwP immunization still exhibited high levels of serum antibodies against pertussis at least two years after vaccination. This is because the vaccine induces an effective immunologic memory [26, 27]. Therefore, the increase in IgG at the age of 1–4 years could be caused by both vaccination and natural infection. Meanwhile, an increase in IgG > 100 IU at the age of 5–14 years could almost certainly be caused by infection, particularly in the Riskesdas 2013.

The high levels of Ig-PT antibodies (≥100 IU/mL) in age groups not targeted for vaccination could indicate a higher likelihood of natural pertussis infection [28]. In 2013, the prevalence of pertussis in children aged 5–14 years in Indonesia was estimated at 10.1% based on seropositive pertussis data (Table 2). This number was much higher than the case numbers reported by WHO (27 cases in 2019 and 36 cases in 2020) and the Ministry of Health, Indonesia (386 cases in 2019) [6, 7]. This was due to the general similarity of clinical manifestation of pertussis with ARI and some cases were mild or asymptomatic [29, 30] so they were not reported as pertussis. Therefore, a booster pertussis vaccine should be considered to prevent pertussis infection, since currently, the national pertussis vaccination program is up to 18 months of age. This is also in accordance with WHO recommendations, with a four doses pertussis vaccine administration schedule, it can provide protection for at least six years for countries that use the wP vaccine [31]. Thus, further analysis of the 2023 Riskesdas data is warranted to assess the impact of the pertussis vaccination booster at 18 months of age on the prevalence of pertussis infection. A study conducted in Thailand on 900 serum samples showed that after the age of 11 years, the highest proportion of anti-PT IgG >100 IU/ml was observed [27]. Furthermore, a study in China involving 2144 subjects aged three days to 76 years showed that the highest percentage of recent pertussis infection (anti-PT IgG >100 IU/ml) was observed in children aged nine years (5.1%) (95% CI 0.0–12.1) [32]. The high number of unreported cases of pertussis needs attention because pertussis transmission can occur without any contact with sufferers who are ’diagnosed’ with pertussis. The high rate of subclinical infections among household contacts of pertussis sufferers, might be an important factor in disease transmission [30].

In Table 2, for children aged 1–4 years with a complete history of DTwP immunization, the highest proportion of pertussis seropositive was aged one year in the Riskesdas 2013, because there was a history of getting pertussis vaccination in babies according to the government’s routine vaccination program. Meanwhile, in the Riskesdas 2018, the highest proportion was children aged 4 years, possibly due to additional vaccination given in the form of the DTwP vaccine as a response to the diphtheria outbreak, although this could not be confirmed due to limited data available.

Apart from that, the use of commercial kits with NTU units in the Riskesdas 2018 raised concerns about differences in results from commercial kits with IU units used in the Riskesdas 2013. Even though this study used the same categories (seropositive and seronegative), in reality, no references were found, which compared the results of both types of commercial kits on the same samples. This was supported by evidence that in general, the prevalence of pertussis seropositive was much greater in Riskesdas 2018 compared to Riskesdas 2013, even at ages 5–14 years, where the influence of ORI could be minimized (Table 2). No strong data was obtained to confirm whether the high proportion of pertussis seropositive in the Riskesdas 2018 was caused by high levels of infection, the effect of vaccination (ORI), or the commercial kits used.

Based on multivariate analysis, the predictive factor that most influences the pertussis seropositivity of characteristics of respondents was low maternal education (Table 3). Although maternal education is not directly related to the incidence of pertussis, maternal educational status is directly related to the completeness of vaccination, which can have an impact on vaccine-preventable disease infections, including pertussis. We added an analysis of the relationship between completeness of vaccination and maternal education level, showing that completeness of vaccination was 5.48 times higher (95% CI 5.03–5.07) in 2013 Riskesdas and 1.38 times higher (95% CI 1.33–1.43) in 2018 Riskesdas in higher maternal education level groups compared to low maternal education group (data not shown). An analysis survey conducted in Eritrea showed that children of mothers with no education had lower full vaccination coverage than those with middle or above education (OR = 2.34, 95% CI 1.30–4.21) [33]. Another study on infectious diseases in Bangladesh in the form of a nationwide cross-sectional survey showed results similar to our study, that children with mothers with no education, low and moderate education showed higher odds of acute respiratory infection than mothers with higher education [34]. Therefore, groups of mothers with low education or no education should become targets for strengthening vaccination programs and controlling infectious diseases.

In the 2013 Riskesdas data, a history of acute respiratory infection and pneumonia in the past month was the most significant factor for pertussis infection after controlling for other variables, while in the 2018 Riskesdas data, only a history of pneumonia was significant (Table 4). These findings suggested the possibility that pertussis infection increases the risk of complications leading to pneumonia. Pertussis (whooping cough) is a severe acute respiratory infection caused by the bacterial pathogen B. pertussis, with persistent coughing in children, adolescents and adults with severe respiratory illness [35]. Clinical manifestations of B. pertussis infection range from a relatively moderate cough condition to a serious and potentially deadly condition with pneumonia, convulsions, encephalopathy, and respiratory failure [36]. Co-infection cases with multiple pathogen species are becoming common and revealed as important issue for diseases development and treatment. In the upper respiratory tract, where exposure to microbial species is common, interactions between pathogens, often host-mediated, are of particular relevance. The co-infection between bacteria and influenza causing infection in the respiratory tract is an example of the well-studied interspecies interaction in co-infection cases. An example of an interaction between influenza virus, is their interaction with bacterial pathogens, including Streptococcus pneumoniae, Streptococcus pyogenes, Staphylococcus aureus, Haemophilus influenza, and B. pertussis [37]. These co-infections still play an important role today, as evidenced by the increased mortality associated with bacterial infections during recent influenza epidemics and pandemics.

There are several of studies aimed at explaining the clinical importance of the interaction occurred between influenza virus with bacterial pathogens in infected hosts, especially with B. pertussis [38, 39]. Seasonal influenza and pertussis infections are recognized as the leading causes of neonatal and infant morbidity and mortality worldwide [40, 41]. A study involving seven African and Asian countries in low- and middle-income regions (LMIC) on children aged 1–59 months, who were hospitalized with severe or very severe pneumonia, revealed the detection of B. pertussis in 53 out of 4200 (1.3%) cases. Pertussis-infected pneumonia cases in children aged 1–5 months exhibited a case fatality ratio of 12.5% (95% CI: 4.2%-26.8%; 5/40) [42]. The findings in our study, as well as other studies conducted in 7 countries across Asia and Africa, indicated the need for attention to pertussis, particularly in children, due to its potential for severe outcomes, including fatal cases.

Conclusions

Further analysis from Riskesdas 2013 and 2018 data performed in this study revealed that the seroprevalence of pertussis in children aged 1–14 years was high, particularly those children aged 5–14 years. So, giving a pertussis vaccine booster needs to be considered. This was because at the time the Riskesdas 2013 and 2018 were implemented, the pertussis immunization program in Indonesia was still implementing three basic vaccination doses, and a new booster was implemented in 2018. Considering that maternal education is the characteristic factor most related to pertussis seroprevalence, the group of children and mothers with low education can be the main targets for strengthening complete vaccination coverage and efforts to control diseases, one of which is pertussis which can cause complications from pneumonia.

Acknowledgments

We would like to acknowledge the Head of the Health Development Policy, the Indonesian Ministry of Health and the data management laboratory team, whom had given authorization to the authors to utilize the information and given the Riskesdas 2013 and 2018 research and investigation data sets. Extended gratitude and appreciation was conveyed and passed on to all the research teams who cannot be mentioned one by one, specifically from the Institute of Health Research and Development, Ministry of Health of Indonesia (Kemenkes RI), whom had collected data on Riskesdas researches and inquired about research facility examinations, and information administration forms.

Data Availability

The data are available upon request to the Center of Data and Information, Health Policy Agency (Indonesia: Pusat Data dan Informasi, Badan Kebijakan Pembangunan Kesehatan), Ministry of Health, Indonesia at https://www.badankebijakan.kemkes.go.id/. Select “Menu Layanan Data” (Data service menu), select “Tata Cara Permintaan Data” (Data request procedures). The request must be submitted with a cover letter signed by the head of the institution, Data Request Submission Form, and project proposal and emailed to datin.bkpk@kemkes.go.id. Data can be used with the following conditions: 1. The data received is not provided to other parties. 2. Include the statement "Data used in reports/articles/thesis/thesis/dissertation and others come from the Health Development Policy Agency which can be accessed with certain requirements and procedures via the link www.litbang.kemkes.go.id in the data utilization results document . 3. Obligated to submit the results of the analysis to the Health Development Policy Agency (BKPK RI). 4. Attachments are an inseparable part of the submitted letter.

Funding Statement

This work was supported by the grant provided by the Faculty of Medicine, Universitas Trisakti, Jakarta, Indonesia (No. 0388/PUF/FK-2022-2023). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data are available upon request to the Center of Data and Information, Health Policy Agency (Indonesia: Pusat Data dan Informasi, Badan Kebijakan Pembangunan Kesehatan), Ministry of Health, Indonesia at https://www.badankebijakan.kemkes.go.id/. Select “Menu Layanan Data” (Data service menu), select “Tata Cara Permintaan Data” (Data request procedures). The request must be submitted with a cover letter signed by the head of the institution, Data Request Submission Form, and project proposal and emailed to datin.bkpk@kemkes.go.id. Data can be used with the following conditions: 1. The data received is not provided to other parties. 2. Include the statement "Data used in reports/articles/thesis/thesis/dissertation and others come from the Health Development Policy Agency which can be accessed with certain requirements and procedures via the link www.litbang.kemkes.go.id in the data utilization results document . 3. Obligated to submit the results of the analysis to the Health Development Policy Agency (BKPK RI). 4. Attachments are an inseparable part of the submitted letter.


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