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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63434
Volume:
10 |
5 |
May 2026
Pages:
1-14
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Computational Biology and Bioinformatics
JIBB, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj-211007, India.
Department of Aquaculture
ICAR- Central Institute of Fisheries Education, Mumbai 400 061, India
Department of Computational Biology and Bioinformatics
JIBB, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj-211007, India.
The emergence of fish diseases poses a significant threat to aquaculture sustainability and public health. Fish diseases, transmissible between animals and humans, pose major public health and economic challenges worldwide. Efficient surveillance, timely detection, and rapid response are critical to preventing outbreaks. Databases play a pivotal role by storing, integrating, and analyzing diverse biological, epidemiological, and environmental data. This review examines the utility of genomic repositories, pathogen surveillance databases, ecological and vector data platforms, and integrative One Health systems. In recent years, fish-specific molecular and epidemiological databases have become vital tools in understanding disease mechanisms, transmission pathways, and prevention strategies. These databases integrate genomic, transcriptomic, proteomic, and ecological data to facilitate early detection, molecular epidemiology, and predictive modeling. This paper reviews the development, structure, and applications of fish databases, emphasizing their role in disease surveillance, host–pathogen interaction analysis, and policy development within the One Health framework. Newly designed Fish Organ-Specific Molecular Electronic Database (FOMED) by the author, exemplifies this evolution, integrating organ-specific molecular, physiological, and pathological data. We discuss how these databases support risk assessment, outbreak modeling, molecular epidemiology, and preventive strategies, while highlighting challenges such as data fragmentation and lack of interoperability. Future directions include development of intelligent, interoperable databases, machine learning integration, and enhanced global collaboration to improve disease management.
KEYWORDS
There are significant advancement in fish databases. Fish disease informatics has advanced significantly with the creation and use new databases. It closes the gap between genomics research and practical disease management by combining environmental and pathogen data with organ-specific molecular data. Fish databases support global efforts in aquatic biosecurity, predictive modelling, and zoonotic disease prevention when linked together within frameworks such as FOMED.
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Publication Date
5/18/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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