Prioritizing the introduction of new vaccine in Tanzania (2026–2030): a multi-criteria decision analysis by the Tanzania immunization technical advisory group
Vaccine·
- DOI
- 10.1016/j.vaccine.2026.128985
- PMID
- 42537288
- PMCID
- —
- OpenAlex
- W7171963650
- Study type
- Journal article
- Publisher
- Elsevier BV
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The documented scoring mechanism enables resource-limited jurisdictions to conduct systematic, transparent evaluations when expanding routine immunization programs.
Structured evidence summary
Research question
How should Tanzanian health authorities rank candidate immunizations for deployment between 2026 and 2030 amid budgetary and infrastructural restrictions?
Study design
Researchers utilized a multi-criteria decision analysis methodology facilitated by a national advisory committee and an adapted global prioritization instrument.
Population and setting
The evaluation targets national-level immunization planning within Tanzania, emphasizing systemic resource distribution and healthcare delivery frameworks.
Main findings
The birth dose formulation for hepatitis B achieved the highest priority ranking, with the adult version following closely. Intermediate rankings applied to malaria and maternal respiratory syncytial virus preparations, while measles-mumps-rubella, meningococcal, and typhoid conjugate options received the lowest scores.
Public-health relevance
The documented scoring mechanism enables resource-limited jurisdictions to conduct systematic, transparent evaluations when expanding routine immunization programs.
Important limitations
The assessment notes financial unpredictability, inadequate temperature-controlled storage networks, procurement expenses, and missing regional disease burden and cost-effectiveness information.
GIDS interpretation
This record serves as a methodological benchmark for immunization policy development in comparable economic landscapes, suggesting indexing pathways under vaccination strategy and targeted infectious disease categories.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.