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The Malaria Vaccine Implementation Programme reduced clinical malaria in Kenya, 2020 to 2022 : Impact evaluation with
John A Painter1,2, Erika Wallender3,4, Andrew N Hill3
1Division of Parasitic Diseases and Malaria, US Centers for Disease Control and Prevention, Atlanta, USA. painter.ja@gmail.com.
Background:
Quantifying the impact of malaria vaccines on outpatient malaria burden in children is of interest to many countries introducing either of the World Health Organization (WHO)-recommended vaccines (RTS,S/AS01 [RTS,S] or R21/Matrix-M [R21]). The cluster randomized implementation of RTS,S by the Kenya Ministry of Health during the Malaria Vaccine Implementation Programme (MVIP) provided a unique opportunity to measure the impact of RTS,S on uncomplicated malaria cases reported through routine malaria case surveillance data in western Kenya.
Methods:
From 23 implementing and 23 comparison subcounties in western Kenya, monthly numbers of confirmed uncomplicated malaria cases among individuals under 5 years of age (< 5y) and 5 years of age and older (≥ 5y) were extracted from the Kenya Health Management Information System, stored in a DHIS2 instance. Facilities that reported data ≥ 11 months per year from January 2015 through December 2022 (132 implementing, 139 comparison) were included in the analysis. Prevaccination data (January 2015-December 2019) were used to predict counterfactual case counts during the evaluation period (January 2020-December 2022), beginning when the first children vaccinated under MVIP became age-eligible for the third dose. Models of < 5y malaria cases included a covariate for ≥ 5y malaria cases to control for non-RTS,S malaria control measures. The impact was estimated as the difference between predicted and observed cases across implementing and comparison areas.
Results:
The proportion of vaccine eligible children (RTS,S doses at 6, 7, 9, and 24 months) among all children < 5y was small at the start of MVIP but was estimated to reach 60% by December 2022. During the 3-year evaluation period following dose-3 age-eligibility, < 5y malaria cases were 2.3% lower than predicted in non-implementing facilities and 13.8% lower in implementing facilities, a reduction of 11.6%. The reduction was 5.6% during the first year of follow-up, increasing to 8.2% after two years.
Conclusion:
This analysis revealed that routine health data, although age-aggregated to both vaccine eligible and noneligible children < 5 years, demonstrated a reduction in malaria cases throughout the evaluation period. A further reduction in cases was observed as more vaccine-eligible children comprised the under 5 population. High quality routine data can be used to monitor vaccine impact on clinical malaria.
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