Scholarlink

Background <p>Malaria remains a major public health challenge in Benin, particularly among children under five years of age. Despite the wide deployment of vector control measures the disease burden remains high. Based on modeling approach, this study evaluates the potential impact and effectiveness of the introduction of the RTS, S/ASO1 malaria vaccine on the reduction of malaria-related morbidity in the province of Couffo.</p> Methods <p>An Epidemiological Multi-Diseases Model (EMOD) was parameterised using entomological, epidemiological, and climatic data from Benin covering the period 2010–2023. The RTS,S/AS01 vaccine was implemented via the Expanded Programme on Immunisation (EPI) strategy used to track children under five years old in 1000 populations. Nine scenarios were simulated, combining different coverage levels and dose schedules, alongside a baseline scenario without vaccination. One-way ANOVA and Tukey’s HSD post hoc test were computed to assess differences between scenarios and to identify the best-performing scenario. Data processing, visualisation, and analysis were performed in R version 4.5.1 (2025-06-13 ucrt).</p> Results <p>The simulations revealed a substantial reduction in malaria burden associated with increasing vaccine coverage. Scenarios with higher coverage and booster doses achieved greater declines in both parasite prevalence, severe and clinical cases. Scenario 9, with 90% coverage and two boosters, resulted in the highest proportion, with 9.8% of PfPR averted, 11.06% of cases averted, and 21.83% of severe cases averted over 2030, demonstrating the synergistic effect of extended immunity through booster administration. Temporal analyses from 2024 to 2030 indicated a sustained decline in malaria incidence under the booster strategies, whereas limited gains were observed in scenarios with lower coverage.</p> Conclusion <p>These findings support policy efforts to integrate RTS,S/AS01 into Benin’s Expanded Programme on Immunisation (EPI) and highlight the importance of continuous surveillance to monitor vaccine performance under real-world conditions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Assessing the potential impact of the RTS,S/ASO1 vaccine on malaria burden in Benin: a mathematical modelling approach

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月21日

查看全文
  • Gouvidé Jean Gbaguidi,
  • Mor Absa Loum,
  • Lucien Diégane Gning,
  • Aboudou Karime Tahiho,
  • Elhadj Marouf Diallo,
  • Ousmane Koutou,
  • Andre Dembélé,
  • Nikita Topanou,
  • Guillaume K. Ketoh

摘要

Background

Malaria remains a major public health challenge in Benin, particularly among children under five years of age. Despite the wide deployment of vector control measures the disease burden remains high. Based on modeling approach, this study evaluates the potential impact and effectiveness of the introduction of the RTS, S/ASO1 malaria vaccine on the reduction of malaria-related morbidity in the province of Couffo.

Methods

An Epidemiological Multi-Diseases Model (EMOD) was parameterised using entomological, epidemiological, and climatic data from Benin covering the period 2010–2023. The RTS,S/AS01 vaccine was implemented via the Expanded Programme on Immunisation (EPI) strategy used to track children under five years old in 1000 populations. Nine scenarios were simulated, combining different coverage levels and dose schedules, alongside a baseline scenario without vaccination. One-way ANOVA and Tukey’s HSD post hoc test were computed to assess differences between scenarios and to identify the best-performing scenario. Data processing, visualisation, and analysis were performed in R version 4.5.1 (2025-06-13 ucrt).

Results

The simulations revealed a substantial reduction in malaria burden associated with increasing vaccine coverage. Scenarios with higher coverage and booster doses achieved greater declines in both parasite prevalence, severe and clinical cases. Scenario 9, with 90% coverage and two boosters, resulted in the highest proportion, with 9.8% of PfPR averted, 11.06% of cases averted, and 21.83% of severe cases averted over 2030, demonstrating the synergistic effect of extended immunity through booster administration. Temporal analyses from 2024 to 2030 indicated a sustained decline in malaria incidence under the booster strategies, whereas limited gains were observed in scenarios with lower coverage.

Conclusion

These findings support policy efforts to integrate RTS,S/AS01 into Benin’s Expanded Programme on Immunisation (EPI) and highlight the importance of continuous surveillance to monitor vaccine performance under real-world conditions.