ArticleDatabase : the journal of biological databases and curation2025
Zoonosis: a comprehensive database of zoonotic pathogens.
Article in Database : the journal of biological databases and curation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
13 authors.
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Abstract
Emerging infectious diseases pose a significant threat to global public health and economic security, with zoonoses accounting for a substantial proportion. Livestock such as cattle and sheep are critical reservoirs for zoonotic pathogens and play a key role in transmitting these pathogens to humans and other animals, including dogs and wildlife, due to their close interaction with diverse populations. In this study, we introduce Zoonosis (http://zoonosis.cn/zoonosis/), a comprehensive database that integrates data on pathogens, including Brucella, Mycobacterium tuberculosis, and Bacillus anthracis. Currently, Zoonosis integrates over 4500 samples from more than 60 countries, with a total data volume of 1.8TB, providing a global perspective on zoonotic disease distribution. Equipped with user-friendly visualization and analysis tools, Zoonosis enables rapid biological data interpretation, aiding disease diagnosis and prevention. This resource supports virology, zoology, and epidemiology experts in monitoring cross-species transmissions and mitigating future zoonotic outbreaks. Database URL: http://zoonosis.cn/zoonosis/.
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