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Author: search.filters.author.Taiwo, D. I.

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    Performance assessment of Bayesian meta-analytic predictive model on kdr mutation in insecticide-resistant malarial vectors in sub-Saharan Africa.
    (Malaria Journal, 24(1),, 2025) Ahuekwe, E. F.; Taiwo, D. I.
    Mosquito populations’ selective pressure arising from the widespread and prolonged use of insecticides, especially pyrethroids, for both agricultural usages and public health outcomes, has immensely contributed to the emergence and heavily spread of insecticide resistance. In this study, a systematic review identified eight eligible case–control or cohort studies published between 2015 and 2025 across sub-Saharan Africa that reported both allele and/or genotype frequencies of L1014F and L1014S. The predictive performance and inferential robustness of a Bayesianw meta-analytic model were applied and evaluated on two knockdown resistance (kdr) mutations, L1014F and L1014S, in the Anopheles mosquito populations. Using the Markov Chain Monte Carlo (MCMC) sampling to compute pooled concordance statistics, odds ratios, and perform funnel plot asymmetry tests (Egger, Macaskill, Debray). The results revealed that L1014F showed a stronger and more consistent association with phenotypic resistance compared to L1014S, with odds ratios (OR) as high as 4.44 (95% CI 3.40–5.80). However, concordance statistics for both mutations demonstrated wide confidence intervals (L1014F: 0.141; CI − 0.095 to 0.459; L1014S: 0.169; CI − 0.399 to 0.688), indicating moderate predictive reliability. The Bayesian framework effectively synthesized complex and heterogeneous resistance data, confirming the operational relevance of KDR mutations in resistance surveillance. The global significance of these results enhances the predictive analytics in resistance management, such that resistance evolution is temporally and spatially dynamic. The integration of Bayesian modelling into existing entomological surveillance systems shifts the paradigm towards more adaptive and anticipatory management. Although data sparsity and regional heterogeneity warrant cautious interpretation, integrating ecological and thermodynamic variables into predictive models is essential for enhancing future resistance forecasting.
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    Impact of multi-active ingredient long-lasting insecticidal nets for malaria vector control in sub-Saharan Africa: a systematic review and meta-analysis
    (Discover Public Health 23(1), 2026) Ahuekwe, E. F.; Taiwo, D. I.
    Strong selective pressures on mosquitoes arise from an over-reliance on a narrow range of insecticides and the continuous increase in insecticide resistance. This increased resistance weakens the effectiveness of conventional single-ingredient vector control interventions, thus undermining the efforts to reduce malaria transmission. This study aimed to assess the comparative efficacy of multi-active ingredients interventions, which include pyrethroid combinations with pyriproxyfen, chlorfenapyr, and piperonyl butoxide (PBO), versus single-active ingredients approaches in reducing malaria prevalence and key entomological outcomes in malaria-endemic regions. A systematic review and meta-analysis were conducted in accordance with the PRISMA guidelines. Studies were selected based on specific inclusion criteria, including randomised controlled trials conducted in sub-Saharan Africa and interventions focused on multi-active ingredient (MAI) approaches. Data on malaria prevalence, vector density, sporozoite rate, and entomological inoculation rate (EIR) were extracted. Random- and fixed-effects models were applied to evaluate the pooled effects, and heterogeneity was assessed using a diagnostic plot. Publication bias was examined using funnel and forest plots. Four studies met the inclusion criteria, which comprise a total of 135,706 households for pyrethroid-only ITNs, 117,652 for pyrethroid-pyriproxyfen, 118,518 for pyrethroid-chlorfenapyr, and 63,331 for pyrethroid-PBO interventions. Chlorfenapyr-pyrethroid combinations showed the most substantial reduction in malaria prevalence (adjusted odds ratio (aOR) 0.53; 95% CI: 0.30–0.67) and entomological inoculation rate (aOR 0.13; 95% CI: 0.07–0.31). Although pyriproxyfen and PBO combinations also reduced vector density and sporozoite rates, chlorfenapyr exhibited the highest efficacy, especially in regions with established pyrethroid resistance. Publication bias was observed, resulting in a slight overestimation of the effectiveness of MAI-LLINs interventions. MAI-LLINs approaches, particularly chlorfenapyr-pyrethroid interventions, have demonstrated superior effectiveness compared to single-active-ingredient (SAI) LLIN interventions in reducing malaria transmission metrics in sub-Saharan Africa. While the results underline the potential of MAI-LLINs strategies, further research and collaborative studies are needed to optimise MAI-LLINs deployment, assess long-term impacts on resistance, and ensure cost-effectiveness in resource-limited settings.