Towards a global One Health index: a potential assessment tool for One Health performance.

BACKGROUND: A One Health approach has been increasingly mainstreamed by the international community, as it provides for holistic thinking in recognizing the close links and inter-dependence of the health of humans, animals and the environment. However, the dearth of real-world evidence has hampered application of a One Health approach in shaping policies and practice. This study proposes the development of a potential evaluation tool for One Health performance, in order to contribute to the scientific measurement of One Health approach and the identification of gaps where One Health capacity building is most urgently needed. METHODS: We describe five steps towards a global One Health index (GOHI), including (i) framework formulation; (ii) indicator selection; (iii) database building; (iv) weight determination; and (v) GOHI scores calculation. A cell-like framework for GOHI is proposed, which comprises an external drivers index (EDI), an intrinsic drivers index (IDI) and a core drivers index (CDI). We construct the indicator scheme for GOHI based on this framework after multiple rounds of panel discussions with our expert advisory committee. A fuzzy analytical hierarchy process is adopted to determine the weights for each of the indicators. RESULTS: The weighted indicator scheme of GOHI comprises three first-level indicators, 13 second-level indicators, and 57 third-level indicators. According to the pilot analysis based on the data from more than 200 countries/territories the GOHI scores overall are far from ideal (the highest score of 65.0 out of a maximum score of 100), and we found considerable variations among different countries/territories (31.8-65.0). The results from the pilot analysis are consistent with the results from a literature review, which suggests that a GOHI as a potential tool for the assessment of One Health performance might be feasible. CONCLUSIONS: GOHI-subject to rigorous validation-would represent the world's first evaluation tool that constructs the conceptual framework from a holistic perspective of One Health. Future application of GOHI might promote a common understanding of a strong One Health approach and provide reference for promoting effective measures to strengthen One Health capacity building. With further adaptations under various scenarios, GOHI, along with its technical protocols and databases, will be updated regularly to address current technical limitations, and capture new knowledge.

[An optimization method of weighted network module partition based on TCM theory of "monarch, minister, assistant and guide"].

The disease-gene-drug multi-level network constructed by network pharmacology can predict drug targets and has been widely used in the study of material basis and mechanism of action of Chinese medicinal prescriptions. However, most of the current studies have normalized the efficacies of Chinese herbal medicines in the compounds during the construction of the network. There is also a lack of in-depth exploration of the mechanism of synergy among multiple components. This study proposed a network module partition method based on group collaboration and the pharmacological network was weighed according to the traditional Chinese medicine(TCM) theory of "monarch, minister, assistant and guide". Taking the Tanyu Tongzhi Prescription as an example, we constructed its pharmacological network for the treatment of myocardial ischemia-reperfusion injury. The group collaboration module in the network was identified and the network changes before and after the weighting were compared based on the network topology analysis to explore a new method to find the core nodes of the network as well as the core drugs that affected the efficacy of the compounds. The results showed that the module partition method based on group collaboration could be used to identify and partition group collaboration mo-dules in pharmacological networks of compounds. The proposed weighted network based on the TCM theory of "monarch, minister, assistant, and guide" could identify and partition the modules based on the characteristics of the pharmacological network. The identification and partition results of modules of Tanyu Tongzhi Prescription in the weighted network were superior to those in the unweighted network. The weighted closeness centrality(WCC) evaluation method was conducive to finding key nodes and relations in the network as compared with traditional methods, thereby providing a basis for analyzing the core components of drugs and extracting more accurate drug components and targets.