发展中国家人畜共患疾病的多标准风险排名:以赞比亚为例

Kachinda Wezi, Chalilunda Brian, L. Mataa, Queen Suzan Midzi, Kelly Chisanga, Humphrey Banda, Mbawe Zulu, Christopher K. Mwanza, Masuzyo Ngoma, Leonard Malama Sampa, Ricky Chazya, Milner Mukumbwali
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引用次数: 1

摘要

多标准决策分析方法的整合,包括层次分析法(AHP)和理想解决方案相似性偏好排序法(TOPSIS)等技术,已经在人畜共患疾病风险评估领域产生了有价值的见解。这一分析框架借鉴世界动物卫生组织支持的手册,利用世界动物卫生组织本身提供的影响评估、传播途径和分类。此外,考虑到针对个别国家的特定人畜共患疾病情景,增强了分析的背景相关性。通过这种方法,系统地建立了人畜共患疾病的排名,对其潜在影响和风险进行了综合评价。该方法包括流行率、经济影响、健康影响、传播途径和卫生保健能力等关键标准,共同提供了一个反映人畜共患疾病复杂性质的整体视角。根据欧洲疾病预防控制中心和世界动物卫生组织的数据得出的最终排名,阐明了对人类和动物种群构成重大威胁的疾病。这一排名有助于确定可能迅速传播和产生重大影响的疾病,指导资源分配用于预防、控制和缓解战略。ECDC和OIE排名之间的一致性强调了应用方法的稳健性,鼠疫和人畜共患结核病不断成为排名较高的疾病,加强了它们公认的重要性。综合两个来源的数据,综合排名提供了与各种人畜共患疾病有关的潜在风险的深刻概述。鼠疫、人畜共患结核病、布鲁氏菌病、锥虫病和狂犬病一直占据首位,为决策者、公共卫生官员和利益攸关方确定资源分配和干预战略的优先次序提供了宝贵工具。综合层次分析法和TOPSIS方法的多标准决策分析方法的实施,为赞比亚人畜共患疾病的知情排名的产生提供了基础。流行率、经济影响、健康影响、传播途径和卫生保健能力等标准之间错综复杂的相互作用形成了评估各种疾病潜在风险的综合框架。随后的排名以鼠疫为首,其次是炭疽、狂犬病和其他疾病,反映了它们通过采用的方法计算的集体风险评分。这一方法通过查明对人类和动物种群具有较高不利影响可能性的疾病,增强了战略决策的能力。该排名在指导资源、制定战略干预措施和制定有针对性的预防和控制措施方面提供了宝贵的帮助。然而,认识到动态的疾病形势和适应性战略的必要性,强调了在赞比亚有效监测和管理人畜共患疾病的持续重要性。通过整合来自权威来源的数据并采用系统的、以证据为基础的方法,本研究强调了从整体角度解决人畜共患疾病的必要性,培养了增强公共卫生和避免未来疫情爆发的前瞻性观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multicriteria Risk Ranking of Zoonotic Diseases in a Developing Country: A Case Study of Zambia
The integration of a multicriteria decision analysis approach, including techniques such as the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), has yielded valuable insights in the realm of zoonotic disease risk assessment. This analytical framework draws from the OIE-supported manual, utilizing impact assessments, transmission pathways, and categorizations as provided by the OIE itself. Moreover, the consideration of specific zoonotic disease scenarios tailored to individual countries enhances the contextual relevance of the analysis. Through this approach, the ranking of zoonotic diseases is systematically established, offering a comprehensive evaluation of their potential impacts and risks. This methodology encompasses pivotal criteria, including prevalence, economic impact, health impact, transmission pathways, and healthcare capacity, collectively offering a holistic perspective that mirrors the intricate nature of zoonotic diseases. The resultant rankings, derived from both ECDC and OIE data, illuminate diseases that harbor significant threats to both human and animal populations. This ranking fosters the identification of diseases with potential for rapid spread and substantial impact, guiding resource allocation towards prevention, control, and mitigation strategies. The alignment between ECDC and OIE rankings underscores the robustness of the applied methodology, with Plague and Zoonotic TB consistently emerging as high-ranking diseases, reinforcing their acknowledged significance. A consolidated ranking, amalgamating data from both sources, provides an insightful overview of potential risks linked to various zoonotic diseases. Plague, Zoonotic TB, Brucellosis, Trypanosomiasis, and Rabies consistently occupy top positions, presenting a valuable instrument for policymakers, public health officials, and stakeholders in prioritizing resource allocation and intervention strategies. The implementation of a multicriteria decision analysis approach, integrating AHP and TOPSIS methodologies, underpins the generation of informed rankings for Zambian zoonotic diseases. The intricate interplay of criteria like prevalence, economic impact, health impact, transmission pathways, and healthcare capacity forms a comprehensive framework for evaluating the potential risks of diverse diseases. The ensuing ranking, led by Plague and succeeded by Anthrax, Rabies, and others, mirrors their collective risk scores calculated via the adopted methodology. This approach empowers strategic decision-making by pinpointing diseases with heightened potential for adverse impacts on both human and animal populations. The rankings serve as invaluable aids in directing resources, devising strategic interventions, and formulating targeted measures for prevention and control. However, acknowledgment of the dynamic disease landscape and the imperative of adaptive strategies underscores the ongoing importance of monitoring and managing zoonotic diseases effectively in Zambia. By amalgamating data from authoritative sources and embracing a systematic, evidence-based approach, this study accentuates the necessity of addressing zoonotic diseases with a holistic lens, fostering proactive perspectives that augment public health and avert future outbreaks.
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