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. 2024 Mar 5;18:11786302241236017. doi: 10.1177/11786302241236017

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© The Author(s) 2024

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 8. — The network visualization map of terms co-occurrence in titles and abstracts of One Health-COVID-19 publications. Twenty occurrences of a term were set as the minimum number (Binary counting: involves assessing the presence or absence of a term in the titles and abstracts of documents, with the frequency of occurrences within a document being disregarded). A total of 140 terms out of 12 650 terms met the set threshold. A relevance score was set to assess the most relevant terms: 60%. The most relevant terms were 80 terms categorized into 2 major clusters; cluster 1: red color (46 terms) concerned mainly with One Health approach and preparedness for challenges including future pandemics, climate change and antimicrobial resistance, and the importance of collaboration, and cluster 2: green color (34 terms) concerned primarily with the origin of virus causing COVID-19 and its transmission mechanisms. The map was created using VOSviewer software version 1.6.19.