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Antibody responses induced by trivalent inactivated influenza vaccine among pregnant and non-pregnant women in Thailand: A matched cohort study

  • Sutthichai Nakphook,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Project administration, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Disease Control, Institute of Preventive Medicine, Ministry of Public Health, Nonthaburi, Thailand, Faculty of Medicine, Thammasat University, Pathum Thani, Bangkok, Thailand

  • Jayanton Patumanond,

    Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – review & editing

    Affiliation Faculty of Medicine, Center for Clinical Epidemiology and Clinical Statistics, Chiang Mai University, Chiang Mai, Thailand

  • Manash Shrestha ,

    Roles Formal analysis, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Faculty of Social Sciences and Humanities, Department of Society and Health, Mahidol University, Nakhon Pathom, Thailand

  • Kriengkrai Prasert,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing – review & editing

    Affiliation Department of Primary Care Unit and Family Medicine, Nakhon Phanom Provincial Hospital, Nakhon Phanom, Thailand

  • Malinee Chittaganpitch,

    Roles Conceptualization, Data curation, Investigation, Validation, Writing – review & editing

    Affiliation National Institute of Health, Ministry of Public Health, Nonthaburi, Thailand

  • Joshua A. Mott,

    Roles Methodology, Validation, Writing – review & editing

    Affiliations Influenza Program, Thailand Ministry of Public Health - US Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand, Influenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America

  • Prabda Praphasiri

    Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – review & editing

    Affiliation Influenza Program, Thailand Ministry of Public Health - US Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand

Antibody responses induced by trivalent inactivated influenza vaccine among pregnant and non-pregnant women in Thailand: A matched cohort study

  • Sutthichai Nakphook, 
  • Jayanton Patumanond, 
  • Manash Shrestha, 
  • Kriengkrai Prasert, 
  • Malinee Chittaganpitch, 
  • Joshua A. Mott, 
  • Prabda Praphasiri



We compared influenza antibody titers among vaccinated and unvaccinated pregnant and non-pregnant women.


During 1st June– 30th September 2018, four groups of cohort participants—vaccinated pregnant, unvaccinated pregnant, vaccinated non-pregnant, and unvaccinated non-pregnant women were selected by matching age, gestational age, and the week of vaccination. Serum antibody titers against each strain of 2018 Southern Hemisphere inactivated trivalent influenza vaccine (IIV3) were assessed by hemagglutination inhibition (HI) assay on Day 0 (pre-vaccination) and Day 28 (one month post-vaccination) serum samples. Geometric mean titer (GMT), GMT ratio (GMR), seroconversion (defined as ≥4 fold increase in HI titer), and seroprotection (i.e. HI titer ≥1:40) were compared across the study groups using multilevel regression analyses, controlling for previous year vaccination from medical records and baseline antibody levels.


A total of 132 participants were enrolled in the study (33 in each of the four study groups). The baseline GMTs for influenza A(H1N1), A(H3N2), and B vaccine strains were not significantly different among all four groups (all p-values >0.05). After one month, both vaccinated groups had significantly higher GMT, GMR, seroconversion, and seroprotection than their unvaccinated controls (all p-values <0.05). The seroconversion rate was over 60% for any strain among the vaccinated groups, with the highest (88.8%) observed against A(H1N1) in the vaccinated pregnant group. Similarly, at least 75% of the vaccinated participants developed seroprotective antibody levels against all three strains; the highest seroprotection was found against A(H3N2) at 92.6% among vaccinated non-pregnant participants. Antibody responses (post-vaccination GMT, GMR, seroconversion, and seroprotection) were not significantly different between pregnant and non-pregnant women for all three strains of IIV3 (all p>0.05).


The 2018 seasonal IIV3 was immunogenic against all three vaccine strains and pregnancy did not seem to alter the immune response to IIV3. These findings support the current influenza vaccination recommendations for pregnant women.


Pregnant women are at a higher risk of severe illness from influenza due to physiological and immunological changes and are therefore recommended for influenza vaccination [13]. Recent meta-analyses show that influenza vaccination in pregnancy can reduce the incidence of laboratory-confirmed influenza by 53–63%, reduce adverse birth outcomes such as pre-term and low birth weight, and further extend prevention against influenza to their infants [46]. The immunogenicity of influenza vaccine is an important measure of how well the vaccine responds in different populations as the vaccine needs to be immunogenic to be clinically effective [7]. The data on antibody responses to influenza vaccines, however, remain unclear in pregnancy and are particularly sparse in tropical middle-income countries like Thailand.

Although most studies conducted among pregnant women report adequate humoral immune responses to the trivalent influenza vaccine (IIV3) albeit a lower response to influenza B strain [810], only a few studies included a non-pregnant group for comparison [11,12]. Using vaccinated non-pregnant women as controls, Schlaudecker et al. found that despite similar seroconversion and seroprotection rates, the rise in post-vaccination antibody titers against influenza A(H1N1) and A(H3N2) viruses was diminished in pregnant women [12]. This suggested that immunological changes in pregnancy may modulate the antibody response [12,13]. In contrast, other observational studies and randomized controlled trials did not report any significant differences in antibody responses to IIV3 between pregnant and non-pregnant women [11,14].

In Thailand, serious outcomes of influenza including maternal and infant death have been documented [15]. The Thai Ministry of Public Health (MOPH) has recommended seasonal IIV3 for pregnant women since 2009, but the vaccine coverage has been low [16]. Previous studies among Thai pregnant women consistently indicate that their decisions to get vaccinated are mainly influenced by the recommendation of their physicians [1719], for whom the vaccine efficacy, safety, and immunogenicity data may be important indicators [20]. Extended benefits of maternal vaccination in transferring influenza antibodies to their infants was recently reported by Kittikraisak et al. in a study among Thai pregnant women at a tertiary center in Bangkok [21]. We conducted a prospective cohort study with the main objective of assessing the immune responses induced by IIV3 among both pregnant and non-pregnant women and compared them along with their unvaccinated counterparts.

Materials and methods

Study design and setting

This was a prospective, matched cohort study comprising two arms (pregnant and non-pregnant) and four groups—vaccinated pregnant women, unvaccinated pregnant women, vaccinated non-pregnant women, and unvaccinated non-pregnant women in the rural northeastern province of Nakhon Phanom, Thailand (Fig 1). This study was conducted during four months between 1st June– 30th September 2018 as nested research within a larger cohort study assessing influenza vaccine effectiveness among pregnant women in Nakhon Phanom province (Thai Clinical Trials Registry ID: TCTR20201014004). For willing participants, 2018 seasonal southern hemisphere inactivated IIV3 (Influvac®, Abbott Biologicals B.V., The Netherlands) provided free of charge by the Thai MOPH was offered at the provincial hospital (one intramuscular dose of 0.5 ml) containing the following three antigens: A/Michigan/45/2015 A(H1N1)pdm09, A/Singapore/INFIMH-16-0019/2016 A(H3N2), and B/Phuket3073/2013 (Yamataga lineage) [22]. Serum antibody titers against each of the three vaccine strains were assessed on the blood collected from the participants via venipuncture on Day 0 (pre-vaccination) and Day 28 (one month post-vaccination).

Participant selection

The study population consisted of women of reproductive age above 18 years visiting Nakhon Phanom Provincial Hospital during the study period. Pregnant women with at least one visit to the hospital’s antenatal care clinic (ANC) were selected if they were Thai nationals, residents of the province since at least June 2018, and had no plans to relocate to another place before giving birth. Pregnant women with gravida more than 33 weeks were excluded to avoid delivery before the second venipuncture, which was scheduled one month after the first venipuncture. Pregnant participants willing and not willing to receive seasonal influenza vaccines were matched by age group, gestational age, and week of vaccination. For comparison, non-pregnant women, both willing and not willing to receive influenza vaccines were selected from the patients visiting the family planning services at the hospital after age-matching with pregnant participants. Their non-pregnant status was confirmed by a negative urine pregnancy test. Any potential participant with an acute illness that could hinder the blood draw procedure was excluded from the study.

Data collection

After enrollment, demographic data were collected such as age, height and weight (for Body Mass Index (BMI) calculation), gestational age of the baby, number of pregnancies, underlying disease, and smoking status. Histories of the immediate prior year influenza vaccination and presence of any pre-existing medical conditions were obtained from the medical record forms. Particular focus was given to ICD-10 codes for immunosuppressive conditions such as B20 (HIV infection), N18 (Chronic kidney disease), O24 (Gestational DM), E08 (Diabetes mellitus), D89 (Autoimmune disease), C80 (Malignant neoplasm), and C95 (Leukemia). Vaccine strain match data to circulating viruses was obtained from Thai National Institute of Health (NIH) (S1 Table).

Immediately before vaccination, 5 ml or approximately one teaspoon of blood was drawn from the participants by research nurses using aseptic technique. The blood was collected in a Red Top Vacutainer tube labeled with a unique Study ID Number sticker. The second blood draw was obtained after one month of vaccination. Similarly, for unvaccinated participants, blood samples were drawn on the day of enrollment (Day 0) and after one month (Day 28). For participants who could not travel to the provincial hospital, blood samples were collected by the study nurses at the participant’s home and transported to the provincial hospital on ice packs. Sera were then separated from blood samples using a centrifuge at Nakhon Phanom Hospital Laboratory and stored in a refrigerator at a controlled temperature of 4–8°C for up to 48 hours and then in a freezer at -20°C until used. Serum samples were transported to the Thai NIH laboratory in Nonthaburi every week.

Serological testing and outcomes

Serum antibody titers were determined by hemagglutination inhibition (HI) assay according to the WHO standard protocol at the Thai NIH laboratory using goose red blood cells as described previously [23,24]. The laboratory staff were blinded to the participants’ cohort group information. Seroprotection was defined as HI titer ≥1:40 and seroconversion as at least a four-fold increase in antibody titer compared between Day 0 and Day 28 serum samples. The geometric mean titer (GMT) was calculated by taking the antilog of the mean of logarithmically transformed HI titers. Geometric mean titer ratio (GMR) or fold increase was determined as the ratio of GMT of post-vaccination blood by GMT of pre-vaccination blood.

Sample size calculation

The minimum sample size was calculated based on the Fleiss method [25], using Stata software version 14.2 (StataCorp LP, College Station, TX, USA). At least 28 participants were needed in each of the vaccinated and unvaccinated groups to have 80% power to detect 30% or more seroconversion after vaccination at 5% type I error. To compensate for a possible loss to follow-up, the sample size was inflated by 15% to 33 per group such that the total sample size was 132 (i.e. 33 × 4).

Statistical analyses

Descriptive statistics were used to enumerate variables such as pregnancy trimester, number of pregnancies, smoking status, and vaccination history. Mean and standard deviation were used to report the central tendency of continuous variables like age, gestational age, and BMI. Estimates of antibody responses (GMT, GMR, seroprotection, and seroconversion) were compared between vaccinated and unvaccinated groups of both pregnant and non-pregnant arms and also between the vaccinated pregnant and non-pregnant women using a multilevel regression. Specifically, we conducted the multilevel analyses of GMT and GMR to estimate the mean and 95% confidence intervals (CI) in each group by mixed-effects linear regression model with interaction terms between pregnancy status and IIV3 vaccination status, controlling for previous year vaccination history and baseline antibody levels, and IIV3 vaccination status as the random intercept. For seroprotection and seroconversion, the multilevel analyses were conducted using mixed-effects negative binomial regression model to estimate the proportions and their 95% CI in each group, keeping all other parameters same as that for GMT and GMR. The use of multilevel regression allowed for adjustment of multiple comparisons by partial pooling and shifting of point estimates and their 95% CI [26]. As a sub-analysis, the proportions of vaccinated participants reaching higher HI titers of ≥1:80 and ≥1:160 after one month of vaccination were compared between the pregnant and non-pregnant groups. Statistical analyses were performed using Stata software version 14.2 and the significance was set at p-value <0.05.

Ethical considerations

The study protocol was reviewed and approved by the Ethical Review Committee of Thammasat University (Ref no. MTU-EC-ES-4-217/60). Approval of local ethics committee of Nakhon Phanom Hospital (No. NP-EC11-No.4/2560) was also received prior to the data collection. Written informed consent was obtained from each participant by research nurses who were not involved in ANC and/or family planning services at the hospital.


Participant characteristics

A total of 132 participants (i.e. 66 pregnant and 66 non-pregnant women) were enrolled in the study, with 33 participants in each of the four groups (Fig 1). The baseline demographic characteristics are presented in Table 1. The mean age of the participants was 26.4 years (standard deviation [SD] 5.4 years). The matched frequencies of vaccinated and unvaccinated pregnant participants were 11 (33.3%), 18 (54.6%), and 4 (12.1%) in the first, second, and third trimesters, respectively. Fourteen vaccinated (42.4%) and nine unvaccinated participants (27.3%) were pregnant for the first time. None of the study participants had any pre-existing immunosuppressive medical conditions. BMI and smoking history were not significantly different across all four groups (p-value >0.05). The difference in proportion of vaccinated pregnant and non-pregnant participants not having received influenza vaccination in the previous year was not statistically significant (87.9% vs 78.8%, p = 0.511) (Table 1).

Vaccine strain matching

According to the sentinel surveillance data of the Thai NIH, A/Singapore/ INFIMH-16-0019/2016 A(H3N2) was the dominant strain circulating before the study period and the 2018 seasonal IIV3 vaccine strain matching during the study period for A/Michigan/45/2015 A(H1N1)pdm09, A/Singapore/INFIMH-16-0019/2016 A(H3N2), and B/Phuket/3073/2013 (Yamataga lineage) was 100%, 78.2%, and 100%, respectively (S1 Table).

Antibody responses to influenza vaccination

The baseline (pre-vaccination) GMTs of the participants were not significantly different for each vaccine strain among all four groups (all p-values >0.05; Table 2). At baseline, the proportion of participants with seroprotective HI titers of ≥1:40 were found to be in the range of 21.2–28.0%, 37.9–48.6%, and 8.9–12.1% for A(H1N1), A(H3N2), and B, respectively.

Table 2. Comparison of antibody responses against influenza vaccine strains among the study participants (N = 132).

After one month, both pregnant and non-pregnant vaccinated women had significantly higher GMT, GMR, seroconversion, and seroprotection in comparison to their unvaccinated control groups (all p-values <0.05; Table 2). Specifically, post-vaccination GMT against A(H1N1), A(H3N2), and B viruses in pregnant women was 171.8 (95% CI 118.8–248.2), 195.7 (95% CI 131.2–291.9), and 94.7 (95% CI 70.4–127.5), respectively; while the same in vaccinated non-pregnant women was estimated at 106.1 (95% CI 72.9–154.3), 241.1 (95% CI 161.4–360.0), and 113.5 (95% CI 84.1–153.3), respectively (Fig 2). The difference in GMR among vaccinated pregnant and non-pregnant women were not significant for A(H1N1) (20.9 vs 14.9, p = 0.219), A(H3N2) (26.4 vs 21.2, p = 0.611), and B viruses (12.3 vs 21.1, p = 0.133) (Table 2).

Fig 2. Comparison of influenza antibody geometric mean titers before and after vaccination between pregnant and non-pregnant participants.

The seroconversion rate among vaccinated pregnant women was 88.8%, 69.5%, and 76.9% against A(H1N1), A(H3N2), and B viruses, respectively. The rates were not significantly different among vaccinated non-pregnant women at 62.5%, 76.0%, and 76.7%, respectively (all p-values >0.05; Table 2). At least 78% of the vaccinated participants developed seroprotective antibody levels against all three strains; the highest seroprotection was found against A(H3N2) at 92.6% among vaccinated non-pregnant participants. The proportions of both pregnant and non-pregnant participants developing seroprotective HI titers ≥40 after vaccination were not significantly different (p>0.05). When higher cut points of HI titer ≥1:80 and ≥1:160 were used for seroprotection, the proportion of vaccinated pregnant women reaching seroprotective levels for all vaccine strains were in the range of 73–85% and 38–67%, respectively. These proportions were not significantly different among vaccinated non-pregnant women (65–77% and 50–67%, respectively) (Table 3).

Table 3. Proportions of vaccinated participants reaching hemagglutination inhibition antibody titers of ≥1:40, ≥1:80, ≥1:160 on one-month post vaccination.


In our matched cohort analysis, we found that IIV3 induced high humoral immune responses in both pregnant and non-pregnant women compared with their unvaccinated counterparts. In addition, the antibody responses in form of post-vaccination GMT, GMR, and proportions of participants reaching seroconversion and seroprotection levels were not statistically different between the pregnant and non-pregnant women. These findings suggest that pregnancy did not alter immune responses to IIV3 in our study population.

Our results are in stark contrast with that of Schlaudecker et al. who had found significant differences in post-vaccination GMT against influenza A(H1N1)pdm09 and A(H3N2) viruses among pregnant and non-pregnant control group in a similar prospective study [12]. This discordance may be attributed to some differences between the study sample characteristics. The mean age of pregnant women in Schlaudecker et al.’s study was nearly 32 years and almost all of them (97%) had received IIV3 the previous year [12]. Prior vaccination has been associated with lower immune response in subsequent vaccination among pregnant women [27,28]. In comparison, our participants were younger and likely to be immunologically naïve against the vaccine strains as most of them had not received any influenza vaccines before and therefore could have mounted a higher immune response. Additionally, we controlled for potential confounding factors between the pregnant and non-pregnant women through cohort matching and multilevel regression which may have produced more robust estimates. Similar results of equivalent post-vaccination antibody titers have been found in other studies which have also controlled for baseline differences between pregnant and non-pregnant women [11,14].

Compared with influenza A(H1N1)pdm09 and B viruses, baseline seroprotection against A(H3N2) was high in our study, conferred possibly by natural infection since it was the dominant circulating strain and prior year vaccination was low. Nonetheless, immune responses against all three influenza strains were strong one month after vaccination in both pregnant and non-pregnant groups, exceeding the European Committee for Medicinal Products for Human Use (CHMP) recommended serological criteria for influenza vaccine for healthy adults aged less than 60 years (i.e. >2.5 GMR, >40% seroconversion rate, >70% seroprotection rate) [29]. In Thailand, the Food and Drug Administration uses the CHMP criteria as a reference for approval of influenza vaccines for public use. However, in 2014, the CHMP adopted a more diversified approach to the measurement and reporting of the immune response to influenza vaccines due to growing concerns of appropriateness of clinical correlation of HI titer ≥1:40 for different subgroups [29,30]. For example, one study demonstrated that for children, an HI titer >1:110 would be needed for 50% of clinical protection and a titer of 1:330 would be necessary to correlate with 80% clinical protection [31]. This would mean that higher HI titers may be needed among pregnant women to confer clinical protection to their infants, especially up to their first six months during which the newborns are not indicated for influenza vaccination. Since there are no new suggested cut points for pregnant women and an HI titer above ≥1:150 may only correlate with marginal benefits [32], we used HI titers of ≥1:80 and ≥1:160 to further analyze seroprotective levels among our study sample. Our results showed that more than 70% pregnant women reached HI titers ≥1:80 against all three strains and more than 60% reached the titer ≥1:160 after one month of vaccination (except for influenza B), which was not different from those seen among non-pregnant healthy women, denoting a strong immune response.

The vaccine was well-matched with the circulating strains and the antibody responses observed in this study corresponded well with the overall vaccine effectiveness in the larger cohort study which enrolled more than 1,700 participants and estimated the effectiveness of IIV3 against laboratory-confirmed, influenza-associated acute respiratory illness among pregnant women at 65% (95% CI 38%-81%) [33]. Unlike some previous studies from other countries that have reported a low vaccine effectiveness against influenza A(H3N2) which have been attributed to either the egg-adaptive mutations in the A(H3N2) vaccine strain [34,35] or poor immunogenicity in general [36], results of this study and the VE cohort study found IIV3 to be immunogenic and effective against A(H3N2) among pregnant women [33]. These data provide important empirical support to the policy of recommending seasonal influenza vaccination to pregnant women, particularly in countries like Thailand where the vaccine coverage among this group is perennially low. A prior survey revealed that Thai physicians at ANC in public hospitals were more likely to recommend influenza vaccines to pregnant women if they perceived the vaccines to be effective [20]. As healthcare providers’ recommendations are known predictors of IIV3 uptake among pregnant women in Thailand [17,18], epidemiological evidence of vaccine benefit like effectiveness and immunogenicity in real-world settings may reduce the hesitancy of healthcare providers and aid in their recommendation of IIV3 to pregnant patients.

Despite the strengths of using matched cohorts and controlling for confounders using multilevel regression, there are some limitations in our study. First, the sample size was calculated initially to assess differences between vaccinated and unvaccinated groups which may be small in number and lack sufficient power to draw confirmatory inference between pregnant and non-pregnant women. Consequently, we did not conduct sub-group analyses on the antibody responses by receipt of vaccination in different trimesters of pregnancy. Second, we relied exclusively on HI titers for measuring humoral immunity. Additional measures such as microneutralization assay and induction of plasmablasts may be needed in future studies as they may be more sensitive and specific for pregnant women [11]. Third, the prior vaccination data of the study participants was limited to one year. Although prior vaccinations may affect the immune responses to influenza vaccine, it is less likely that pregnant women have had multiple year vaccinations in Thailand as they are only recommended for seasonal IIV3 in case of pregnancy and the vaccine uptake among pregnant women is less than 1% [16]. Finally, we did not assess the antibody levels in infants which may be an important consideration for the prevention of influenza in infants through maternal vaccination. However, the findings of Kittikraisak et al. suggest that vaccinated Thai pregnant women have higher placental transfer of influenza antibodies to their infants than those unvaccinated [21].

In conclusion, seasonal IIV3 was immunogenic against all three vaccine strains and pregnancy did not seem to alter the immune response to the IIV3. These findings support the current influenza vaccination recommendations for pregnant women. Larger studies with clinical correlations and supplementary markers of humoral and cellular immunity may be needed to assess the immune response among pregnant women with subsequent vaccinations.

Supporting information

S1 Table. Vaccine strain matching during the study period.



We are grateful to the participants and the study nurses at the Nakhon Phanom Provincial Hospital for their consideration and co-operation in this study. We also thank the staff of Thai NIH for their assistance in carrying out the laboratory investigations.


The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention or the Agency for Toxic Substances and Disease Registry.


  1. 1. Grohskopf LA, Alyanak E, Broder KR, Blanton LH, Fry AM, Jernigan DB, et al. Prevention and control of seasonal influenza with vaccines: recommendations of the advisory committee on immunization practices—United States, 2020–21 influenza season. MMWR Recomm Rep. 2020;69(8):1–24. pmid:32820746.
  2. 2. Buchy P, Badur S, Kassianos G, Preiss S, Tam JS. Vaccinating pregnant women against influenza needs to be a priority for all countries: an expert commentary. Int J Infect Dis. 2020;92:1–12. pmid:31863875
  3. 3. World Health Organization. Vaccines against influenza WHO position paper—November 2012. Wkly Epidemiol Rec. 2012;87(47):461–76. pmid:23210147
  4. 4. Quach THT, Mallis NA, Cordero JF. Influenza vaccine efficacy and effectiveness in pregnant women: systematic review and meta-analysis. Matern Child Health J. 2020;24(2):229–40. pmid:31865602
  5. 5. Nunes MC, Madhi SA. Influenza vaccination during pregnancy for prevention of influenza confirmed illness in the infants: a systematic review and meta-analysis. Hum Vaccin Immunother. 2018;14(3):758–66. pmid:28708952
  6. 6. Nunes MC, Aqil AR, Omer SB, Madhi SA. The effects of influenza vaccination during pregnancy on birth outcomes: a systematic review and meta-analysis. Am J Perinatol. 2016;33(11):1104–14. Epub 2016/09/08. pmid:27603545.
  7. 7. Domnich A, Manini I, Panatto D, Calabrò GE, Montomoli E. Immunogenicity measures of influenza vaccines: a study of 1164 registered clinical trials. Vaccines (Basel). 2020;8(2):325. pmid:32575440
  8. 8. Amin AB, Nunes MC, Tapia MD, Madhi SA, Cutland CL, Wairagkar N, et al. Immunogenicity of influenza vaccines administered to pregnant women in randomized clinical trials in Mali and South Africa. Vaccine. 2020;38(41):6478–83. pmid:32868130
  9. 9. Steinhoff MC, Omer SB, Roy E, Arifeen SE, Raqib R, Altaye M, et al. Influenza immunization in pregnancy—antibody responses in mothers and infants. N Eng J Med. 2010;362(17):1644–6. pmid:20427817.
  10. 10. Munoz FM, Jackson LA, Swamy GK, Edwards KM, Frey SE, Stephens I, et al. Safety and immunogenicity of seasonal trivalent inactivated influenza vaccines in pregnant women. Vaccine. 2018;36(52):8054–61. Epub 2018/11/13. pmid:30416018.
  11. 11. Kay AW, Bayless NL, Fukuyama J, Aziz N, Dekker CL, Mackey S, et al. Pregnancy does not attenuate the antibody or plasmablast response to inactivated influenza vaccine. J Infect Dis. 2015;212(6):861–70. pmid:25740957
  12. 12. Schlaudecker EP, McNeal MM, Dodd CN, Ranz JB, Steinhoff MC. Pregnancy modifies the antibody response to trivalent influenza immunization. J Infect Dis. 2012;206(11):1670–3. pmid:22984116
  13. 13. Schlaudecker EP, Ambroggio L, McNeal MM, Finkelman FD, Way SS. Declining responsiveness to influenza vaccination with progression of human pregnancy. Vaccine. 2018;36(31):4734–41. pmid:29941326
  14. 14. Munoz FM, Patel SM, Jackson LA, Swamy GK, Edwards KM, Frey SE, et al. Safety and immunogenicity of three seasonal inactivated influenza vaccines among pregnant women and antibody persistence in their infants. Vaccine. 2020;38(33):5355–63. Epub 2020/06/24. pmid:32571718.
  15. 15. Thongnoi P, Praphasiri P, Dawood FS, Lindblade KA. Maternal death from influenza in tropical Thailand. Lancet. 2017;389(10068):571–2. pmid:28170335
  16. 16. Owusu JT, Prapasiri P, Ditsungnoen D, Leetongin G, Yoocharoen P, Rattanayot J, et al. Seasonal influenza vaccine coverage among high-risk populations in Thailand, 2010–2012. Vaccine. 2015;33(5):742–7. pmid:25454853
  17. 17. Kaoiean S, Kittikraisak W, Suntarattiwong P, Ditsungnoen D, Phadungkiatwatana P, Srisantiroj N, et al. Predictors for influenza vaccination among Thai pregnant woman: the role of physicians in increasing vaccine uptake. Influenza Other Respir Viruses. 2019;13(6):582–92. pmid:31419068
  18. 18. Ditsungnoen D, Greenbaum A, Praphasiri P, Dawood FS, Thompson MG, Yoocharoen P, et al. Knowledge, attitudes and beliefs related to seasonal influenza vaccine among pregnant women in Thailand. Vaccine. 2016;34(18):2141–6. Epub 2016/02/09. pmid:26854910.
  19. 19. Leewongtrakul T, Kunpalin Y, Ingviya T, Chaithongwongwatthana S. Acceptance of influenza vaccination among pregnant women attending the antenatal care clinic, King Chulalongkorn Memorial Hospital. Thai Journal of Obstetrics and Gynaecology. 2017:75–82.
  20. 20. Praphasiri P, Ditsungneon D, Greenbaum A, Dawood FS, Yoocharoen P, Stone DM, et al. Do Thai physicians recommend seasonal influenza vaccines to pregnant women? A cross-sectional survey of physicians’ perspectives and practices in thailand. PLoS One. 2017;12(1):e0169221. pmid:28099486
  21. 21. Kittikraisak W, Phadungkiatwatana P, Ditsungnoen D, Kaoiean S, Macareo L, Rungrojcharoenkit K, et al. Comparison of influenza antibody titers among women who were vaccinated in the 2nd and the 3rd trimesters of pregnancy. Vaccine. 2021;39(1):18–25. pmid:33243634
  22. 22. World Health Organization. Recommended composition of influenza virus vaccines for use in the 2018 southern hemisphere influenza season. Geneva, Switzerland: WHO, 2017 [cited 2021 Feb 9].
  23. 23. WHO Global Influenza Surveillance Network. Serological diagnosis of influenza by haemagglutination inhibition testing. In: Manual for the laboratory diagnosis and virological surveillance of influenza. Geneva, Switzerland: WHO, 2011.
  24. 24. Chittaganpitch M, Puthavathana P, Praphasiri P, Waicharoen S, Shrestha M, Mott JA, et al. Antibody responses against influenza B lineages among community-dwelling individuals 65 years of age or older having received trivalent inactivated influenza vaccine during two consecutive seasons in Thailand. Southeast Asian J Trop Med Public Health. 2019;50(3):500–13.
  25. 25. Fleiss JL, Levin B, Paik MC. Statistical methods for rates and proportions: John Wiley & Sons; 2013.
  26. 26. Gelman A, Hill J, Yajima M. Why we (usually) don’t have to worry about multiple comparisons. J Res Educ Eff. 2012;5(2):189–211.
  27. 27. Sperling RS, Engel SM, Wallenstein S, Kraus TA, Garrido J, Singh T, et al. Immunogenicity of trivalent inactivated influenza vaccination received during pregnancy or postpartum. Obstet Gynecol. 2012;119(3):631–9. pmid:22353963
  28. 28. Ohfuji S, Fukushima W, Deguchi M, Kawabata K, Yoshida H, Hatayama H, et al. Immunogenicity of a monovalent 2009 Influenza A (H1N1) vaccine among pregnant women: lowered antibody response by prior seasonal vaccination. J Infect Dis. 2011;203(9):1301–8. pmid:21459817
  29. 29. Wijnans L, Voordouw B. A review of the changes to the licensing of influenza vaccines in Europe. Influenza Other Respir Viruses. 2016;10(1):2–8. pmid:26439108
  30. 30. Euroepan Medical Agency. Guideline on influenza vaccines. Non-clinical and clinical module. London, England: Committee for Medicinal Products for Human Use, European Medicines Agency, 2016. [cited 2021 Feb 9].
  31. 31. Black S, Nicolay U, Vesikari T, Knuf M, Del Giudice G, Della Cioppa G, et al. Hemagglutination inhibition antibody titers as a correlate of protection for inactivated influenza vaccines in children. Pediatr Infect Dis J. 2011;30(12):1081–5. pmid:21983214
  32. 32. Coudeville L, Bailleux F, Riche B, Megas F, Andre P, Ecochard R. Relationship between haemagglutination-inhibiting antibody titres and clinical protection against influenza: development and application of a bayesian random-effects model. BMC Med Res Methodol. 2010;10(1):18. pmid:20210985
  33. 33. Nakphook S, Prasert K, Chaithongwongwatthana S, Patumanond J. Effectiveness of trivalent inactivated influenza vaccine among pregnant women: a one-year prospective cohort study in Nakhon Phanom. Chiangrai Medical Journal. 2021;13(1):106–19. Available from:
  34. 34. Skowronski DM, Janjua NZ, De Serres G, Sabaiduc S, Eshaghi A, Dickinson JA, et al. Low 2012–13 influenza vaccine effectiveness associated with mutation in the egg-adapted H3N2 vaccine strain not antigenic drift in circulating viruses. PLoS One. 2014;9(3):e92153. pmid:24667168
  35. 35. Kissling E, Pozo F, Buda S, Vilcu A-M, Rizzo C, Gherasim A, et al. Effectiveness of influenza vaccine against influenza A in Europe in seasons of different A(H1N1)pdm09 and the same A(H3N2) vaccine components (2016–17 and 2017–18). Vaccine X. 2019;3:100042. pmid:31660536
  36. 36. Cobey S, Gouma S, Parkhouse K, Chambers BS, Ertl HC, Schmader KE, et al. Poor immunogenicity, not vaccine strain egg adaptation, may explain the low H3N2 influenza vaccine effectiveness in 2012–2013. Clin Infect Dis. 2018;67(3):327–33. pmid:29471464