Changes in Malaria Burden and Preventive Intervention Coverage in Liberia: An Interrupted Time Series Analysis
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Malaria burden; malaria prevention; interrupted time series; mixed-effects modelling; routine surveillance; Liberia.##article.abstract##
Malaria remains a major public health challenge in Liberia despite continued efforts to control the disease. This study examined changes in malaria burden and preventive intervention coverage from January 2021 to December 2025, focusing on the period following January 2023. Monthly county-level surveillance data were obtained from Liberia’s Health Management Information System and analyzed using a longitudinal ecological design. Annual trends were summarized descriptively, followed by interrupted time series regression to assess changes after January 2023. A multivariable linear mixed-effects model examined the independent associations between preventive intervention coverage and malaria burden. Confirmed malaria cases fell from 742,092 in 2021 to 542,070 in 2023, before rising to 759,957 in 2025. Immediately after January 2023, malaria test positivity (β₂ = 3.67, p = 0.038), severe malaria (β₂ = 4.52, p < 0.001) and malaria-related deaths (β₂ = 2.87, p = 0.041) increased significantly. IPTp3 (β₂ = −9.10, p = 0.021) and IPTp3+ (β₂ = −7.72, p = 0.034) also declined immediately while LLIN coverage showed a significant decline in the post-interruption trend (β₃ = −4.12, p = 0.041). In the adjusted model, higher IPTp3 (β = −0.063, p = 0.001) and LLIN coverage (β = −0.052, p = 0.002) were associated with lower malaria burden. The study concludes that routine surveillance can help track malaria trends and program performance. Sustaining preventive interventions and using surveillance evidence in program planning may strengthen malaria control in Liberia.
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