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. 2026 Feb 3;14:1755092. doi: 10.3389/fpubh.2026.1755092

Table 2.

Characteristics of included studies.

1st author, year Country, disease Population Sample size Intervention Stigma measure; any validation Outcome; risk of bias
Randomised controlled trials
Islam and Pakrashi, 2021 (17) India,
COVID-19
Adult residents 1,081 (intervention); 1,057 (control) Phone-based delivery of accurate COVID-19 information and anti-stigma messaging Two composite stigma measures; no ↓; some concerns for bias*
Lu et al., 2021 (26) China,
COVID-19
University students returning from Wuhan to non-Hubei provinces 31 (intervention); 32 (control) Brief online “social support” reading and writing psychological exercise Perceived Personal Discrimination Scale; yes ↓; some concerns for bias*
Smith, 2012 (19) United States, Disease X (hypothetical) Undergraduate students 333 (16 experimental conditions) Exposure to different message frames in a hypothetical infectious-disease alert Stigma-belief and restrictive-measures scales; yes ↑ (high-peril messaging); some concerns for bias*
Techapoonpon et al., 2023 (25) Thailand, COVID-19 Recovered persons who had been admitted to hospital for COVID-19 71 (intervention); 71 (control) Brief self-directed online programme on COVID-19 stigma and emotional first-aid techniques Adapted version of COVID-19-related stigma questionnaire; yes ↓ (days 7 and 14); some concerns for bias*
Tidwell et al., 2024 (20) Kenya,
COVID-19
Residents of informal settlements 515 (intervention 1); 516 (intervention 2); 494 (control) Behaviourally framed text messages emphasising (1) reciprocity or (2) community support Survey of knowledge, attitudes and behavioural intentions; no ↔; some concerns for bias*
Valeri et al., 2021 (18) United States, COVID-19 Adult residents 250 (control); 243 (intervention 1); 249 (intervention 2); 246 (intervention 3) (1) Information sheet only; (2) plus video on social support; (3) plus video of recovered person sharing experience Adapted HIV stigma scale; no ↓ (interventions 2 & 3); high risk of bias*
Wang et al., 2024 (27) China,
COVID-19
Male adults 70 (within-sample, before/after comparison) 24 IU intranasal oxytocin (based on social behaviour and empathy mechanism) Stigma-judgement paradigm; yes ↔; low risk of bias*
Qualitative studies
Biesty et al., 2024 (21) United Kingdom, mpox Outbreak responders and GBMSM 11 (key-informant interviews); 15 (workshops) Community-led public-health campaigns and messaging through LGBTQ+ organisations to reduce stigma and increase vaccine uptake Qualitative interviews / focus groups; N/A Mixed results; largely methodologically sound †
Collier et al., 2023 (22) Sierra Leone, Ebola disease Affected community members / leaders 134 (total participants) Community-driven sensitisation campaign using survivors, local leaders and health workers to disseminate trusted information Qualitative interviews / focus groups; N/A ↓; methodologically sound †
Crea et al., 2022 (23) Sierra Leone, Ebola disease Affected community members / leaders 228 (total participants) Community protection bylaws and education led by local leaders, health workers and NGO staff Qualitative interviews / focus groups; N/A Mixed results; mostly methodologically sound †
Siu, 2008 (24) Hong Kong, SARS Recovered persons 170 (observation only); 30 (in-depth interview) Follow-up clinics for SARS survivors with separate entrances and elevators for privacy Qualitative interviews; N/A ↑; methodologically sound †

↓Reduction in stigma; ↑ Increase in stigma; ↔ No clear change in stigma. *Assessed with Cochrane revised risk-of-bias tool for RCTs (RoB 2). †Assessed with CASP qualitative-studies checklist. IU, International units; GBMSM, Gay, bisexual and other men who have sex with men; NGO, Non-governmental organisation; SARS, Severe acute respiratory syndrome; UK, United Kingdom; US, United States.