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Abstract：
The use of multi-criteria decision analysis (MCDA) for disease prioritization at the sub-national level in sub-Sahara Africa (SSA) is rare. In this research, we contextualized MCDA for parallel prioritization of endemic zoonoses and animal diseases in The Adamawa and North regions of Cameroon. MCDA was associated to categorical principal component analysis (CATPCA), and two-step cluster analysis. Six and seven domains made of 17 and 19 criteria (out of 70) respectively were selected by CATPCA for the prioritization of zoonoses and animal diseases, respectively. The most influencing domains were \"public health\" for zoonoses and \"control and prevention\" for animal diseases. Twenty-seven zoonoses and 40 animal diseases were ranked and grouped in three clusters. Sensitivity analysis resulted in high correlation between complete models and reduced models showing the robustness of the simplification processes. The tool used in this study can be applied to prioritize endemic zoonoses and transboundary animal diseases in SSA at the sub-national level and upscaled at the national and regional levels. The relevance of MCDA is high because of its contextualization process and participatory nature enabling better operationalization of disease prioritization outcomes in the context of African countries or other low and middle-income countries.
摘要：
在撒哈拉以南非洲（SSA）的国家以下一级，很少使用多标准决策分析（MCDA）进行疾病优先排序。在这项研究中,我们将MCDA与喀麦隆阿达马瓦和北部地区的地方性人畜共患病和动物疾病并行优先排序。MCDA与分类主成分分析(CATPCA)相关，和两步聚类分析。CATPCA分别选择了由17个和19个标准（共70个）组成的六个和七个领域，用于确定人畜共患病和动物疾病的优先级。分别。最具影响力的领域是人畜共患病的“公共卫生”和动物疾病的“控制和预防”。对27种人畜共患疾病和40种动物疾病进行了排名和分组。灵敏度分析导致完整模型和简化模型之间的高度相关性，显示了简化过程的鲁棒性。本研究中使用的工具可用于在国家以下一级优先考虑SSA的地方性人畜共患病和跨界动物疾病，并在国家和区域一级扩大规模。MCDA的相关性很高，因为它的背景化过程和参与性能够在非洲国家或其他中低收入国家的背景下更好地实施疾病优先结果。
