Global One Health index for zoonoses: A performance assessment in 160 countries and territories
Zhishan Sun, Erya Wan, Yannick Luther Agbana, Han-Qing Zhao, Jing-Xian Yin, Tian-Ge Jiang, Qin Li, Si-Wei Fei, Logan Wu, Xin-Chen Li, Qiyu Zhang, Jingshu Liu, Si-Yu Gu, Zhao-Yu Guo, Jing-Bo Xue, Lefei Han, Xiaoxi Zhang, Shang Xia, Susan C. Welburn, Moses Okpeku, Xiaokui Guo, Zhaojun Wang, Jun‐Hu Chen, Yi Zhang, Xiao‐Nong Zhou, Kokouvi Kassegne
Abstract
The One Health (OH) approach is used to control/prevent zoonotic events. However, there is a lack of tools for systematically assessing OH practices. Here, we applied the Global OH Index (GOHI) to evaluate the global OH performance for zoonoses (GOHI-Zoonoses). The fuzzy analytic hierarchy process algorithm and fuzzy comparison matrix were used to calculate the weights and scores of five key indicators, 16 subindicators, and 31 datasets for 160 countries and territories worldwide. The distribution of GOHI-Zoonoses scores varies significantly across countries and regions, reflecting the strengths and weaknesses in controlling or responding to zoonotic threats. Correlation analyses revealed that the GOHI-Zoonoses score was associated with economic, sociodemographic, environmental, climatic, and zoological factors. Additionally, the Human Development Index had a positive effect on the score. This study provides an evidence-based reference and guidance for global, regional, and country-level efforts to optimize the health of people, animals, and the environment.