A county-level indicator framework for assessing schistosomiasis transmission risk in post-transmission-interruption China.

IF 5.5 1区 医学
Andong Xu, Hong Zhu, Jing Xu, Xiaowei Shan, Yi Dong, Hongqiong Wang, Chao Lv, Shiyi Huo, Shizhu Li
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引用次数: 0

Abstract

Background: In China's post-transmission-interruption stage of schistosomiasis control, infection signals are often sparse, and conventional surveillance indicators focused on infection detection may not adequately capture residual risk across heterogeneous ecological settings. This study aimed to develop an operational indicator framework for assessing schistosomiasis transmission risk and supporting routine risk assessment and management in this stage.

Methods: A county-level indicator framework for schistosomiasis transmission risk assessment was developed through a two-round Delphi consultation and weighted using a combined Delphi-entropy weight method. Using longitudinal data from six pilot counties during 2020-2024, an annual composite risk index (R) was calculated by weighted linear aggregation and classified into risk levels with trapezoidal fuzzy membership functions. Robustness was evaluated by perturbing the subjective preference coefficient (α) and examining the consistency of county-year rankings across scenarios using Spearman's rank correlation.

Results: The final framework comprised three first-level, twelve second-level, and thirty-nine third-level indicators spanning biological, environmental, and social domains. Across the six pilot counties, R ranged from 0.18 to 0.44 and the overall risk level was predominantly low. Nonetheless, distinct county-level risk profiles were observed between lake/marshland and mountainous settings. Risk rankings remained highly consistent under α perturbations (ρ = 0.909-0.998), indicating good robustness of the assessment results.

Conclusions: This framework translates multidimensional determinants relevant to the re-establishment of schistosomiasis transmission into interpretable county-level risk profiles. It provides an operational tool to support targeted surveillance and more efficient allocation of control resources in low-endemicity contexts.

中国血吸虫病传播中断后传播风险评估的县级指标框架
背景:在中国血吸虫病控制的传播中断后阶段,感染信号往往稀疏,关注感染检测的传统监测指标可能无法充分捕捉异质生态环境中的残留风险。本研究旨在制定评估血吸虫病传播风险的可操作指标框架,并支持这一阶段的常规风险评估和管理。方法:通过两轮德尔菲咨询,构建县级血吸虫病传播风险评估指标框架,采用德尔菲-熵联合加权法进行加权。利用2020-2024年6个试点县的纵向数据,采用加权线性聚集法计算年度综合风险指数R,并采用梯形模糊隶属函数划分风险等级。稳健性通过干扰主观偏好系数(α)来评估,并使用Spearman秩相关检验不同情景下县-年排名的一致性。结果:最终的框架包括3个一级指标、12个二级指标和39个三级指标,涵盖生物、环境和社会领域。6个试验县的R值为0.18 ~ 0.44,总体风险水平较低。尽管如此,在湖泊/沼泽和山地环境之间观察到不同的县级风险概况。在α扰动下,风险排序保持高度一致(ρ = 0.909-0.998),表明评价结果具有较好的稳健性。结论:该框架将与重建血吸虫病传播相关的多维决定因素转化为可解释的县级风险概况。它提供了一个业务工具,以支持在低流行情况下进行有针对性的监测和更有效地分配控制资源。
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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty INFECTIOUS DISEASES-
自引率
1.20%
发文量
368
期刊介绍: Infectious Diseases of Poverty is an open access, peer-reviewed journal that focuses on addressing essential public health questions related to infectious diseases of poverty. The journal covers a wide range of topics including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies and application. It also considers the transdisciplinary or multisectoral effects on health systems, ecohealth, environmental management, and innovative technology. The journal aims to identify and assess research and information gaps that hinder progress towards new interventions for public health problems in the developing world. Additionally, it provides a platform for discussing these issues to advance research and evidence building for improved public health interventions in poor settings.
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