ReviewJournal of multidisciplinary healthcare2022
Cost-Effectiveness Analysis of COVID-19 Vaccination in Low- and Middle-Income Countries.
Review in Journal of multidisciplinary healthcare, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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, 2 syntheses or guidelines pooled it.
- Economic Evaluation of COVID-19 Immunization Strategies: A Systematic Review and Narrative Synthesis.Applied health economics and health policy · 2024Pooled it
- Economic evaluation of COVID-19 vaccination: A systematic review.Journal of global health · 2023Pooled it
- Costs of delivering COVID-19 vaccine in Botswana during the height of the pandemic: a retrospective study.BMC health services research · 2025Article
- Assessing the Economic Benefit of Mass COVID-19 Vaccination Program in Iran: A Real-World Modeling Study.International journal of health policy and management · 2025Article
- Cost-Effectiveness Analysis of Various Coronavirus Disease (COVID-19) Vaccines against Emerging Variants of Concern in the Philippines.Acta medica Philippina · 2025Article
- Towards Health Policy for All-Re-visioning Health and Social Systems for Equity and Resilience.Acta medica Philippina · 2025Article
- Effectiveness of COVID-19 Vaccines in People with Severe Mental Illness: A Systematic Review and Meta-Analysis.Vaccines · 2024Review
- Mandatory and seasonal vaccination against COVID-19: Attitudes of the vaccinated people in Serbia.Epidemiology and infection · 2023Article
- Economic evaluation of strategies against coronavirus: a systematic review.Health economics review · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: WHO reported that 5.5 million people died in the world because of COVID-19. One of the efforts to mitigate the pandemic is administrating the vaccines globally. Objective: The objective of this study was to review cost-effectiveness analysis of COVID-19 vaccination in low- and middle-income countries (LMICs). Methods: We searched PubMed and EBSCO for the eligible studies with inclusion criteria using cost-effectiveness analysis, free full text, low-middle-income countries, and the publication date since the last year. Four reviewers conducted the review independently. Results: The review identified four articles meeting the eligibility criteria. The settings were LMICs. Different perspectives and economic modelling used by the countries confirmed a similar result. They all explained that vaccination could prevent the infection spread and mortality caused by COVID-19 and showed high cost-effectiveness values. Conclusion: Administering COVID-19 vaccines was cost-effective and even cost-saving. The studies found that vaccination was more cost-effective in reducing the spread of the COVID-19 virus and the mortality it caused than no vaccination.
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.