Aquaculture America 2023

February 23 - 26, 2023

New Orleans, Louisiana USA

ASSESSMENT OF THE EFFECTIVENESS OF FISH HEALTH DATABASE

Vincent Teye* Tifani W. McKay, John R. Kelso, Tyler J. McKay, Adetola J. Ogundipe and Robert M. Durborow

Aquaculture Research Center

Kentucky State University

Frankfort, KY, 40601

Vincent.Teye@kysu.edu

 



In order to significantly ameliorate mortalities on aquaculture farms due to diseases, it is important that trends of disease occurrences are monitored over time. Such data, however, is not commonly available for analysis due, in part, to non-digital recording of fish disease cases (e.g., hand written reports) and to a non-standard way of recording data even if it is digital. Due to this unavailability, a user-friendly, standardized online database was developed to improve fish health management by streamlining data entry, increasing data reporting, and enabling real-time monitoring and reaction to disease occurrences, as well as future study. With the use of a recently created mobile responsive clinical fish health database, this project will increase the efficiency of fish health services provided to the aquaculture industry (referred to as the Database; McKay, T.J. 2022), thereby reducing fish losses and maximizing net income of fish farmers. In order to increase the efficiency and effectiveness of the Database, beta testing feedback from a number of fish disease diagnostic laboratories that will input their laboratories’ data into the Database will be collected via a survey. The Kentucky State University Fish Disease Diagnostic Laboratory and a number of other comparable (public and private) institutions, as well as a few in Great Britain and Europe, will be among the labs doing beta testing.