Last Updated: 30/01/2026

ENHANCE: Enhanced seasonal malaria vaccination in Nigeria

Objectives

  • Assess the feasibility and acceptability of the hybrid model among caregivers and health workers.
  • Evaluate the model’s impact on vaccine coverage, timeliness and vaccine-preventable malaria parasitological outcomes.
  • Explore changes in caregiver awareness, knowledge and perceptions of malaria prevention, and the use of nonvaccine malaria prevention measures.
  • Assess the costs and potential cost-effectiveness of implementing the model.
Principal Institution

Malaria Consortium, United Kingdom

Rationale and Abstract

This research project is generating evidence for a hybrid model of malaria vaccine delivery in Kebbi state, Nigeria. Malaria Consortium is working with the National Primary Health Care Development Agency and the Nigerian National Malaria Elimination Programme to assess the feasibility, coverage, health impact and cost-effectiveness of a hybrid delivery model for malaria vaccines that builds on Nigeria’s existing routine immunisation services and the seasonal malaria chemoprevention campaign.

Study Design

The hybrid delivery model incorporates pre-season demand creation, monitoring of under-vaccinated and unvaccinated children, caregiver reminders delivered by SMC community distributors and targeted outreach in under-vaccinated areas. The study will take place in three comparable local government areas:

  • Intervention arm 1 (hybrid model): adds community-level demand creation before the rainy season, household monitoring and caregiver reminders during SMC cycles, and use of collected data to guide mobile outreach in under-vaccinated areas.
  • Intervention arm 2 (reminders only): a lower-resource option that uses SMC household visits to identify children who missed doses and provide reminders to caregivers.
  • Control arm: standard routine vaccination according to age-based scheduling, and no additional activities beyond ongoing SMC. Data collected will guide outreach and assess the relative impact of each approach.

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