Seasonal influenza vaccine effectiveness in Thailand, 2022–2025: a multi-season test-negative design study

<title>Abstract</title> Background Seasonal influenza vaccination is a key public health strategy for reducing influenza-related morbidity and mortality. In Thailand, influenza vaccine effectiveness (VE) is routinely evaluated using surveillance data; however, VE may vary by season, virus subtype, and population subgroup. Continuous monitoring is essential to inform vaccination policy and program performance. Methods We conducted a retrospective observational study using a test-negative design to estimate influenza VE in Thailand from 2022 to 2025. Data were obtained from sentinel surveillance across nine hospitals in four regions, including Bangkok. Patients presenting with influenza-like illness (ILI) or severe acute respiratory infection (SARI) who were tested for influenza by RT-PCR were included. Cases were influenza-positive patients, and controls were influenza-negative patients. Vaccination status was based on self-report and verified through medical records or registry data, with vaccination defined as receipt of influenza vaccine at least 14 days prior to symptom onset. VE was estimated using mixed-effects logistic regression adjusted for age group, sex, comorbidity, obesity, patient severity, epidemiologic week, and influenza season, with hospital included as a random effect. Results A total of 26,623 participants were included, comprising 4,395 influenza-positive cases and 22,228 controls. Overall VE against laboratory-confirmed influenza was 46% (95% confidence interval [CI]: 37–54). VE was relatively consistent across seasons (42% to 52%). By subtype, VE was highest against influenza B (64%; 95% CI: 49–74), followed by A(H3N2) (46%; 95% CI: 34–56) and A(H1N1) (35%; 95% CI: 15–51). Subgroup analyses showed higher VE among adults aged 18–64 years (57%; 95% CI: 44–67) and lower, non-significant VE among young children and older adults. VE was higher among outpatients than among severe cases. Conclusions Seasonal influenza vaccination provided moderate protection against laboratory-confirmed influenza in Thailand, with consistent effectiveness across multiple seasons. These findings support continued influenza vaccination programs and highlight the importance of ongoing VE monitoring to inform public health policy and improve vaccination strategies, particularly among high-risk populations.

Authors

Institutions

Publication Details

Journal
BMC Infectious Diseases
Published
2026-08-14
DOI
https://doi.org/10.1186/s12879-026-14202-9
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seasonal influenza vaccine effectiveness in Thailand, 2022–2025: a multi-season test-negative design study

Passakorn Ongarj, Sutthichai Nakphook, Kanlaya Sornwong, Suriya Naosri et al.
BMC Infectious Diseases
Influenza Virus Research Studies
article

Seasonal influenza vaccine effectiveness in Thailand, 2022–2025: a multi-season test-negative design study

Passakorn Ongarj, Sutthichai Nakphook, Kanlaya Sornwong, Suriya Naosri, Kriengkrai Prasert, Jiraphut Kittiwatanachod, Rathanith Jaratworapatra, Sarunpattori Khunarsa, Prabda Praphasiri
article en

Abstract

<title>Abstract</title> Background Seasonal influenza vaccination is a key public health strategy for reducing influenza-related morbidity and mortality. In Thailand, influenza vaccine effectiveness (VE) is routinely evaluated using surveillance data; however, VE may vary by season, virus subtype, and population subgroup. Continuous monitoring is essential to inform vaccination policy and program performance. Methods We conducted a retrospective observational study using a test-negative design to estimate influenza VE in Thailand from 2022 to 2025. Data were obtained from sentinel surveillance across nine hospitals in four regions, including Bangkok. Patients presenting with influenza-like illness (ILI) or severe acute respiratory infection (SARI) who were tested for influenza by RT-PCR were included. Cases were influenza-positive patients, and controls were influenza-negative patients. Vaccination status was based on self-report and verified through medical records or registry data, with vaccination defined as receipt of influenza vaccine at least 14 days prior to symptom onset. VE was estimated using mixed-effects logistic regression adjusted for age group, sex, comorbidity, obesity, patient severity, epidemiologic week, and influenza season, with hospital included as a random effect. Results A total of 26,623 participants were included, comprising 4,395 influenza-positive cases and 22,228 controls. Overall VE against laboratory-confirmed influenza was 46% (95% confidence interval [CI]: 37–54). VE was relatively consistent across seasons (42% to 52%). By subtype, VE was highest against influenza B (64%; 95% CI: 49–74), followed by A(H3N2) (46%; 95% CI: 34–56) and A(H1N1) (35%; 95% CI: 15–51). Subgroup analyses showed higher VE among adults aged 18–64 years (57%; 95% CI: 44–67) and lower, non-significant VE among young children and older adults. VE was higher among outpatients than among severe cases. Conclusions Seasonal influenza vaccination provided moderate protection against laboratory-confirmed influenza in Thailand, with consistent effectiveness across multiple seasons. These findings support continued influenza vaccination programs and highlight the importance of ongoing VE monitoring to inform public health policy and improve vaccination strategies, particularly among high-risk populations.

BMC Infectious Diseases
Nakhon Phanom University (TH), Sakon Nakhon Rajabhat University (TH)
Good health and well-being
Openalex Percentile: Top 39%
Influenza Virus Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.