ReviewEmerging infectious diseases2024
Strategies to Enhance COVID-19 Vaccine Uptake among Prioritized Groups, Uganda-Lessons Learned and Recommendations for Future Pandemics.
Review in Emerging infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- COVID-19 Vaccination Refusal and Non-Uptake Among People Living with HIV in the United States.Journal of community health · 2026Review
- Article
- Vaccination Coverage of Greek Adults Aged ≥60 Years in a Primary Health Care Setting in Relation to Lifestyle Factors and Health Care Services Utilization.Healthcare (Basel, Switzerland) · 2026Article
- Vaccination Strategies Against Respiratory Pathogens in the Adult Population: A Narrative Review.Vaccines · 2026Review
- COVID-19 knowledge, attitudes, and practices among people vulnerable to HIV in Uganda: A cross-sectional cohort analysis.PloS one · 2026Article
- Behavioural and social drivers of routine childhood immunization in selected low coverage areas in the Philippines.Global health research and policy · 2025Article
- Healthcare provider and patient perspectives on COVID-19 vaccination among persons with HIV, hypertension, and/or Diabetes mellitus at two regional referral hospitals in Uganda.Discover social science and health · 2025Article
- Maintenance of service delivery during medical countermeasures deployment: The association between the COVID-19 vaccine rollout and continuity of routine childhood immunization services in Uganda.PLOS global public health · 2025Article
- Training health workers and community influencers to be Vaccine Champions: a mixed-methods RE-AIM evaluation.BMJ global health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 vaccination was launched in March 2021 in Uganda and initially prioritized persons >50 years of age, persons with underlying conditions, healthcare workers, teachers, and security forces. However, uptake remained low 5 months after the program launch. Makerere University's Infectious Diseases Institute supported Uganda's Ministry of Health in optimizing COVID-19 vaccination uptake models by using point-of-care, place of worship, and place of work engagement and the Social Assistance Grant for Empowerment model in 47 of 135 districts in Uganda, where we trained influencers to support mobilization for vaccination outreach under each model. During July-December, vaccination rates increased significantly in targeted regions, from 92% to 130% for healthcare workers, 40% to 90% for teachers, 25% to 33% for security personnel, 6% to 15% for persons >50 years of age, and 6% to 11% for persons with underlying conditions. Our approach could be adopted in other targeted vaccination campaigns for future pandemics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.