Abstract
A test negative study was carried out from 13 June through to 15 November 2023 enrolling 3183 children hospitalized with acute respiratory illness in Hong Kong. Influenza A and B viruses were detected in 528 (16.6%) children, among which 419 (79.4%) were influenza A(H3N2). The overall vaccine effectiveness against hospitalization associated with any influenza virus infection was estimated as 22.4% (95% CI: −11.7%, 46.1%), and against influenza A(H3N2) specifically was 14.3% (95% CI: −29.2%, 43.2%). Despite the moderate to low VE estimated here, which could be a result of wanning immunity and antigenic drift, influenza vaccination remains an important approach to reduce the impact of influenza in children.
Keywords: influenza, vaccination, vaccine effectiveness, H3N2
INTRODUCTION
In Hong Kong, a subtropical city in the northern hemisphere, epidemics most frequently occur in the winter (January to March) and spring or summer but may circulate at other times as well [1]. However, influenza was absent from Hong Kong between March 2020 and March 2023 due to control measures and behavioral changes that occurred during the COVID-19 pandemic [2]. Upon relaxation of these measures, an influenza A(H1N1) epidemic occurred in April-May 2023 [3], and this was followed by a large A(H3N2) epidemic in August-September 2023.
The Hong Kong government vaccination program begins at the end of September each year, providing free or subsidized influenza vaccinations to eligible target groups, including a school outreach program that covers children aged up to 18 years. Inactivated and live attenuated quadrivalent vaccines with the Northern Hemisphere vaccine formulation were available for the 2022/23 influenza season. The objective of this study was to provide an estimate of influenza vaccine effectiveness (VE) against influenza-associated hospitalization in children in Hong Kong during an A(H3N2) epidemic in June-November 2023.
METHODS
Data sources
An ongoing test-negative study is being prospectively conducted in three large hospitals in Hong Kong [4, 5]. Each hospital enrolled children admitted to the pediatric ward with febrile acute respiratory illness defined as having a fever of ≥38°C and a respiratory symptom such as a runny nose, sore throat, or a cough with symptom onset within 72 hours. Children between six months up to nine years of age who have never been vaccinated before are advised to receive two doses, each administered at least four weeks apart [6]. Given the time required to ensure adequate immunity is developed, we excluded children below 9 months of age in this study. Nasopharyngeal aspirates or swabs were collected for all patients and tested for influenza and other respiratory viruses using a multiplex PCR assay and/or the FilmArray Respiratory Panel (BioFire/bioMérieux, Salt Lake City, UT) [7].
Information on the receipt of vaccination was obtained from parents or legal guardians using a standardized questionnaire. Vaccinated children were those that had received a vaccine from August 2022 onwards and were vaccinated more than two weeks before hospitalization. Vaccine doses within the two weeks before hospital admission were not counted because post-vaccination immunity would not yet have developed, and children below nine years of age that should have received two doses but only received one dose were categorized as partially vaccinated and not included in statistical analyses.
Ethical approval
The study protocol was approved by the Institutional Review Board of the University of Hong Kong and the Kowloon West Cluster Research Ethics Committee. The nasopharyngeal aspirate or swab collection was part of the clinical management, and the questionnaire was voluntary, thus only verbal consent was obtained from parents or legal guardians.
Statistical analysis
The sample size was calculated assuming a 5% level of significance and 80% power. Taking the population vaccination coverage as 15% and a 20% influenza positivity, we aimed to enroll 1500 patients to detect a VE estimate of 40%. Consistent with previous years [4, 5], we used conditional logistic regression to model the association between influenza infection and vaccination status, adjusting for age, sex, underlying medical conditions, prior vaccination and matched by calendar time. VE was estimated as 1- aOR x 100%. We estimated the VE against any hospitalization associated with influenza virus infection, and also against influenza A(H3N2), specifically. A sensitivity analysis was carried out, removing those that tested positive for SARS-CoV-2 [8]. Statistical analyses were performed in R version 4.2.2 (R Foundation for Statistical Computing, Vienna, Austria).
RESULTS
From 13 June through 15 November 2023, 3183 children aged 9 months to 17 years of age were admitted to hospital, of which 528 (16.6%) were positive for influenza A or B. During this period, influenza A(H3N2) was the predominant influenza type/subtype with 419 (79.4%) cases, followed by 70 (13.3%) cases of influenza A(H1N1) and 31 (5.9%) cases of influenza B. A small number (n=8) of influenza A positives had an undetermined subtype (Figure 1).
Figure 1.

Panel A shows the number of children aged 9 months to 17 years admitted to hospital between June and November in Hong Kong. Panel B shows the number of laboratory-confirmed influenza cases in the community reported by the public health laboratory services in Hong Kong for the same period.
The other respiratory viruses most frequently detected among the test negative controls were rhinoviruses (34.7%) and respiratory syncytial virus (11.0%) while 4.0% were positive for SARS-CoV-2. Of the 1186 patients that were vaccinated, 1152 (97.1%) received the quadrivalent inactivated influenza vaccine and 30 (2.5%) received the quadrivalent live attenuated influenza vaccine. Among the controls, 992 (37.4%) children reported receipt of an influenza vaccination, higher than the 194 (36.7%) reporting vaccination among influenza-positive cases (Table 1).
Table 1.
Characteristics of children hospitalized and included in our study.
| Variable | Influenza positive (n=528) | Influenza negative (n=2655) | p-value |
|---|---|---|---|
| Male n (%) | 313 (59.3%) | 1492 (56.2%) | 0.208 |
| Female | 215 (40.7%) | 1163 (43.8%) | |
| Age group n (%) | |||
| 9m-3y | 146 (27.7%) | 1255 (47.3%) | <0.001 |
| 4–8y | 244 (46.2%) | 1102 (41.5%) | |
| 9–17y | 138 (26.1%) | 298 (11.2%) | |
| Underlying conditions | |||
| Lung diseases* | 13 (2.5%) | 157 (5.9%) | 0.062 |
| Cardiac diseases | 3 (0.6%) | 11 (0.4%) | |
| Immunosuppressive disorders | 0 (0.0%) | 4 (0.2%) | |
| Other | 6 (1.1%) | 23 (0.9%) | |
| Receipt of influenza vaccine n (%) | |||
| 9m-3y | 17 (11.6%) | 242 (19.3%) | <0.001 |
| 4–8y | 115 (47.1%) | 598 (54.3%) | |
| 9–17y | 62 (44.9%) | 152 (51.0%) |
the most common lung disease was asthma
The VE against influenza A(H3N2) was estimated to be 14.3% (95%CI: −29.2%, 43.1%) which was similar to the overall VE estimate (Table 2). The age stratified VE estimates were similar between the age groups 9 month to 3 years and 4 to 8 years. The overall VE estimates and VE against influenza A(H3N2) were similar after the removal of children that tested positive for SARS-CoV-2 (Table 2).
Table 2.
Vaccine effectiveness estimated against influenza-associated hospitalization against all influenza and against influenza A(H3N2), by age, and in a sensitivity analysis removing children positive for SARS-CoV-2.
| Total | Influenza positive | Influenza negative | Vaccine effectiveness* | ||||||
|---|---|---|---|---|---|---|---|---|---|
| nvac | N | Proportion vaccinated (%) | nvac | N | Proportion vaccinated (%) | % | 95% CI | ||
| Any influenza | |||||||||
| All ages (9m-17y) | 3183 | 194 | 528 | 36.7 | 992 | 2655 | 37.4 | 22.3 | −11.9 to 46.0 |
| 9 months to 3 years | 1401 | 17 | 146 | 11.6 | 242 | 1255 | 19.3 | 32.7 | −28.7 to 64.9 |
| 4 to 8 years | 1346 | 115 | 244 | 47.1 | 598 | 1102 | 54.3 | 13.2 | −46.1 to 48.4 |
| 9 to 17 years | 436 | 62 | 138 | 44.9 | 152 | 298 | 51.0 | 8.8 | −129.8 to 63.8 |
| All influenza, removing SARS-CoV-2 positives | |||||||||
| All ages (9m-17y) | 3074 | 193 | 526 | 36.7 | 963 | 2548 | 37.8 | 24.4 | −9.0 to 47.6 |
| 9 months to 3 years | 1333 | 17 | 145 | 11.7 | 233 | 1188 | 19.6 | 34.9 | −24.3 to 65.9 |
| 4 to 8 years | 1328 | 115 | 244 | 47.1 | 584 | 1084 | 53.9 | 10.3 | −51.3 to 46.8 |
| 9 to 17 years | 413 | 61 | 137 | 44.5 | 146 | 276 | 52.9 | 26.3 | −91.4 to 71.6 |
| Influenza A(H3N2) | |||||||||
| All ages (9m-17y) | 3074 | 164 | 419 | 39.1 | 992 | 2655 | 37.4 | 14.3 | −29.3 to 43.1 |
| 9 months to 3 years | 1362 | 14 | 107 | 13.1 | 242 | 1255 | 19.3 | 27 | −53.0 to 65.2 |
| 4 to 8 years | 1295 | 98 | 193 | 50.8 | 598 | 1102 | 54.3 | −2.8 | −86.7 to 43.4 |
| 9 to 17 years | 417 | 52 | 119 | 43.7 | 152 | 298 | 51.0 | 11.3 | −148.4 to 68.4 |
| Influenza A(H3N2), removing SARS -CoV-2 positives | |||||||||
| All ages (9m-17y) | 2965 | 163 | 417 | 39.1 | 963 | 2548 | 37.8 | 16.7 | −26.0 to 44.9 |
| 9 months to 3 years | 1294 | 14 | 106 | 13.2 | 233 | 1188 | 19.6 | 29.2 | −47.8 to 66.1 |
| 4 to 8 years | 1277 | 98 | 193 | 50.8 | 584 | 1084 | 53.9 | −6.7 | −94.4 to 41.5 |
| 9 to 17 years | 394 | 51 | 118 | 43.2 | 146 | 276 | 52.9 | 31.5 | −99.0 to 76.4 |
Estimated as (1 minus the adjusted conditional odds ratio)x100%, with adjustment for age, sex, underlying medical conditions, prior vaccination and conditioning on calendar time.
DISCUSSION
While influenza can circulate throughout the year in Hong Kong, compared to previous years the 2023 influenza season began a few months late, overlapping with the beginning of the 2023/24 vaccination campaign. In this late influenza A(H3N2) season, we estimated a VE of 14.3% (95% CI: −29.2%, 43.1%) against pediatric hospitalizations associated with influenza A(H3N2). This estimate is similar to previous influenza seasons in Hong Kong [5]. It was lower than the range of estimates against influenza A(H3N2) from several European study sites for the 2022/23 season in children (62%–70%) [9] and lower than the influenza A(H3N2) VE reported in Chile for all ages (49%, 95% CI: 23%–67%) [10]. The 2022/23 influenza season in most of the 53 WHO European Region countries and in Chile occurred earlier than their pre-pandemic seasons and both studies reported that the circulating influenza A(H3N2) clade matched their respective vaccine formulations [9, 10].
In Hong Kong’s delayed winter 2022/23 epidemic predominated by influenza A(H1N1) we also reported that the estimated VE for A(H1N1) in 2022/23 was similar to estimates of VE against A(H1N1) in the period 2010/11 through 2019/20 [3]. Natural immunity from prior infections in the unvaccinated can reduce VE estimates but given there was little to no influenza circulation for three years from March 2020 through to February 2023 in Hong Kong [2] we had anticipated higher VE estimates in 2022/23. One possible explanation for the low VE estimate against influenza A(H3N2) may be due to the late season, resulting in wanning immunity [11]. The majority (73%) of vaccinated children had received their vaccination more than six months before hospitalization. On the other hand, if many of these children were not recently infected, there may be a decreasing VE because there has been no natural protection or vaccine boosting of naturally acquired antibodies. During the study period, A(H3N2) viruses drifted away from the 2023/24 northern hemisphere vaccine antigen A/Darwin/9/2021 and the WHO has updated its recommendation to a A/Thailand/8/2022-like viruses (2a.3a.1) for the 2024 southern hemisphere formulation [12]. A majority of the sequences uploaded to GISAID by the Public Health Laboratory in Hong Kong corresponded to this new 2a.3a.1 clade. Globally, it was documented that circulating A(H3N2) viruses were becoming less well-inhibited by ferret antisera raised against egg-culture based A/Darwin/9/2021. Moreover, post-vaccination human serum panels also suggested reduced inhibition of 2a.3a.1 viruses [12]. Thus, it is possible that the vaccine provided reduced coverage of the viruses that circulated in Hong Kong during this time.
There were several limitations to this study. First, our sample size did not permit reliable VE estimation in subgroups such as age groups. Second, we were unable to estimate the VE by vaccine type, although, the majority of children in this study received the inactivated quadrivalent egg-based influenza vaccine. Vaccination history is reported by the parents or legal guardians of children and we cannot rule out misclassification of vaccination status. Every effort was made to check medical records or for the children vaccinated in schools we checked the dates and vaccination type with schools. In our study, the influenza vaccination coverage among controls was 40%, which was the same as that reported in early March for children up to 18 years old in Hong Kong [13]. Third, it has been reported that a correlation between receipt of influenza and COVID-19 vaccination could lead to bias in VE estimates [8], but in a sensitivity analyses we examined the effect of removing SARS-CoV-2-positives and observed similar overall and subgroup VE estimates. Finally, children who were partially vaccinated were excluded from our analysis and the VE estimate might be reduced if they were included in the vaccinated group [14].
Carrying out test-negative studies in hospital settings can also be subject to limitations. Patients presenting at hospitals may be later in infection and as viral shedding decreases with time it may result in false negatives [15]. To minimize misclassification of test-positive cases and test-negative controls, we restricted enrolment in the study to within three days of symptom onset. A strength of the test-negative study design is enrolling cases and controls using the same clinical case definition, reducing the potential for differential healthcare seeking behaviors and ensuring the controls are reflective of the source population. However, biases may persist if those who do not usually engage in health seeking behaviors still seek hospital admission when severely ill [16]. Vaccination could also reduce the severity of influenza symptoms [17, 18]. In turn this could reduce the probability of being admitted to hospital among vaccinated cases [19] or reduce the detection of influenza due to reduced viral shedding [16]. If vaccination does not affect the probability of hospitalization among the controls (non-influenza ARI) the VE estimate could be overestimated [16]. Additionally, hospital admission criteria vary across countries. Admission can be judged by a clinician and may not always be related to severity, and in particular the clinical threshold for admission of younger children with influenza could be lower in Hong Kong than in some other locations, affecting the generalizability of our results.
In conclusion, we estimated a moderate to low influenza VE during a late summer influenza A(H3N2) epidemic in Hong Kong. Despite the moderate to low VE, which was suspected to be a result of waning immunity and antigenic drift, influenza vaccination remains an important approach to reduce the impact of influenza in children.
ACKNOWLEDGMENTS
The authors thank Julie Au for technical support. This research was supported by the Health and Medical Research Fund, Health Bureau, The Government of the Hong Kong Special Administrative Region (grant no. INF-HKU-3). BJC is supported by the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract no. 75N93021C00015, the Theme-based Research Scheme (Project No. T11-712/19-N) of the Research Grants Council of the Hong Kong SAR Government, and an RGC Senior Research Fellowship from the University Grants Committee (grant number: HKU SRFS2021-7S03).
Declaration of interests
Ben Cowling reports financial support was provided by Health and Medical Research Fund. Ben Cowling reports financial support was provided by National Institute of Allergy and Infectious Diseases. Ben Cowling reports financial support was provided by Theme-based Research Scheme. Ben Cowling reports financial support was provided by RGC Senior Research Fellowship. Ben Cowling reports a relationship with AstraZeneca that includes: consulting or advisory. Ben Cowling reports a relationship with Fosun Pharma USA Inc that includes: consulting or advisory. Ben Cowling reports a relationship with GSK that includes: consulting or advisory. Ben Cowling reports a relationship with Haleon plc that includes: consulting or advisory. Ben Cowling reports a relationship with Moderna Inc that includes: consulting or advisory. Ben Cowling reports a relationship with Novavax Inc that includes: consulting or advisory. Ben Cowling reports a relationship with Pfizer that includes: consulting or advisory. Ben Cowling reports a relationship with Roche that includes: consulting or advisory. Ben Cowling reports a relationship with Sanofi Pasteur that includes: consulting or advisory. Sheena G. Sullivan reports a relationship with Evo Health that includes: consulting or advisory. Sheena G Sullivan reports a relationship with Moderna that includes: consulting or advisory. Sheena G Sullivan reports a relationship with Pfizer that includes: consulting or advisory. Sheena G Sullivan reports a relationship with CSL Seqirus that includes: consulting or advisory. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
POTENTIAL CONFLICTS OF INTEREST
BJC consults for AstraZeneca, Fosun Pharma, GSK, Haleon, Moderna, Novavax, Pfizer, Roche, and Sanofi Pasteur. SGS has consulted for Evo Health, Moderna, Pfizer and CSL Seqirus. The authors report no other potential conflicts of interest.
REFERENCES
- 1.Ali ST, Cowling BJ, Wong JY, et al. Influenza seasonality and its environmental driving factors in mainland China and Hong Kong. Sci Total Environ 2022;818:151724. [DOI] [PubMed] [Google Scholar]
- 2.Xiong W, Cowling B, Tsang T. Resurgence of influenza after relaxation of public health and social measures in Hong Kong, 2023. Emerging Infectious Diseases 2023;(in press). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Cowling B, Kwan M, Murphy C, et al. Influenza vaccine effectiveness against influenza-associated hospitalization in Hong Kong children aged 9 months to 17 years, March-June 2023. J Pediatric Infect Dis Soc 2023;(in press). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Chiu SS, Chua H, Kwan MYW, et al. Influenza vaccination effectiveness in preventing influenza hospitalization in children, Hong Kong, winter 2019/20. Vaccine 2020;38(51):8078–81. [DOI] [PubMed] [Google Scholar]
- 5.Chua H, Kwan MYW, Chan ELY, et al. Influenza vaccine effectiveness against influenza-associated hospitalization in children in Hong Kong, 2010–2020. Vaccine 2021;39(34):4842–8. [DOI] [PubMed] [Google Scholar]
- 6.Grohskopf LA, Alyanak E, Broder KR, 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. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Echavarria M, Marcone DN, Querci M, et al. Clinical impact of rapid molecular detection of respiratory pathogens in patients with acute respiratory infection. J Clin Virol 2018;108:90–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Doll MK, Pettigrew SM, Ma J, Verma A. Effects of Confounding Bias in Coronavirus Disease 2019 (COVID-19) and Influenza Vaccine Effectiveness Test-Negative Designs Due to Correlated Influenza and COVID-19 Vaccination Behaviors. Clin Infect Dis 2022;75(1):e564–e71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kissling E, Maurel M, Emborg HD, et al. Interim 2022/23 influenza vaccine effectiveness: six European studies, October 2022 to January 2023. Euro Surveill 2023;28(21). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Olivares Barraza MF, Fasce RA, Nogareda F, et al. Influenza Incidence and Vaccine Effectiveness During the Southern Hemisphere Influenza Season - Chile, 2022. MMWR Morb Mortal Wkly Rep 2022;71(43):1353–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Feng S, Chiu SS, Chan ELY, et al. Effectiveness of influenza vaccination on influenza-associated hospitalisations over time among children in Hong Kong: a test-negative case-control study. Lancet Respir Med 2018;6(12):925–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.World Health Organization. Recommended composition of influenza virus vaccines for use in the 2024 southern hemisphere influenza season; 2023. (https://www.who.int/publications/m/item/recommended-composition-of-influenza-virus-vaccines-for-use-in-the-2024-southern-hemisphere-influenza-season). (Accessed 1 Feb 2024).
- 13.HKSAR Government. Public urged to receive seasonal influenza vaccination early. Hong Kong, 2023. [Google Scholar]
- 14.Chua H, Chiu SS, Chan ELY, et al. Effectiveness of Partial and Full Influenza Vaccination Among Children Aged <9 Years in Hong Kong, 2011–2019. J Infect Dis 2019;220(10):1568–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Carrat F, Vergu E, Ferguson NM, et al. Time lines of infection and disease in human influenza: a review of volunteer challenge studies. Am J Epidemiol 2008;167(7):775–85. [DOI] [PubMed] [Google Scholar]
- 16.Sullivan SG, Tchetgen Tchetgen EJ, Cowling BJ. Theoretical Basis of the Test-Negative Study Design for Assessment of Influenza Vaccine Effectiveness. Am J Epidemiol 2016;184(5):345–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Castilla J, Godoy P, Dominguez A, et al. Influenza vaccine effectiveness in preventing outpatient, inpatient, and severe cases of laboratory-confirmed influenza. Clin Infect Dis 2013;57(2):167–75. [DOI] [PubMed] [Google Scholar]
- 18.Deiss RG, Arnold JC, Chen WJ, et al. Vaccine-associated reduction in symptom severity among patients with influenza A/H3N2 disease. Vaccine 2015;33(51):7160–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ainslie KEC, Shi M, Haber M, Orenstein WA. On the bias of estimates of influenza vaccine effectiveness from test-negative studies. Vaccine 2017;35(52):7297–301. [DOI] [PMC free article] [PubMed] [Google Scholar]
