1Center for Global Health and Diseases, Case Western Reserve University, Cleveland, Ohio.
2Schistosomiasis Consortium for Operational Research and Evaluation, Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, Georgia.
Am J Trop Med Hyg. 2020 Jul;103(1_Suppl):97-104. doi: 10.4269/ajtmh.19-0852.
An essential mission of the Schistosomiasis Consortium for Operational Research and Evaluation (SCORE) was to help inform global health practices related to the control and elimination of schistosomiasis. To provide more accurate, evidence-based projections of the most likely impact of different control interventions, whether implemented alone or in combination, SCORE supported mathematical modeling teams to provide simulations of community-level infection outcomes in the setting of real or hypothetical programs implementing multiyear mass drug administration (MDA) for parasite control. These models were calibrated using SCORE experience with and gaining and sustaining control studies, and with data from comparable programs that used community-based or school-based praziquantel MDA in other parts of sub-Saharan Africa. From 2010 to 2019, models were developed and refined, first to project the likely SCORE control outcomes, and later to more accurately reflect impact of MDA across different transmission settings, including the role of snail ecology and the impact of seasonal rainfall on snail abundance. Starting in 2014, SCORE modeling projections were also compared with the models of colleagues in the Neglected Tropical Diseases Modelling Consortium. To explore further possible improvement to program-based control, later simulations examined the cost-effectiveness of combining MDA with environmental snail control, and the utility of early impact assessment to more quickly identify persistent hot spots of transmission. This article provides a nontechnical summary of the 11 SCORE-related modeling projects and provides links to the original open-access articles describing model development and projections relevant to schistosomiasis control policy.
血吸虫病合作研究与评价组织(SCORE)的一项重要任务是帮助为与血吸虫病控制和消除有关的全球卫生实践提供信息。为了更准确地预测不同控制干预措施(无论是单独实施还是联合实施)最有可能产生的影响,SCORE 支持数学建模团队模拟在实施多年大规模药物治疗(MDA)进行寄生虫控制的真实或假设项目背景下社区层面的感染结果。这些模型是使用 SCORE 在获得和维持控制研究方面的经验以及来自撒哈拉以南非洲其他地区使用社区或学校为基础的吡喹酮 MDA 的类似项目的数据进行校准的。从 2010 年到 2019 年,开发和改进了模型,首先是为了预测 SCORE 控制结果,后来是为了更准确地反映 MDA 在不同传播环境下的影响,包括蜗牛生态学的作用和季节性降雨对蜗牛丰度的影响。从 2014 年开始,SCORE 建模预测也与被忽视热带病建模联盟同事的模型进行了比较。为了进一步探索基于规划的控制可能的改进,后来的模拟研究了将 MDA 与环境蜗牛控制相结合的成本效益,以及早期影响评估用于更快速识别持续传播热点的效用。本文提供了与 11 项 SCORE 相关建模项目的非技术性摘要,并提供了描述模型开发和与血吸虫病控制政策相关的预测的原始开放获取文章的链接。