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Assessing the population transmission dynamics of tilapia lake virus in farmed tilapia
Author(s) -
Yang YingFei,
Lu TienHsuan,
Lin HsingChieh,
Chen ChiYun,
Liao ChungMin
Publication year - 2018
Publication title -
journal of fish diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 85
eISSN - 1365-2761
pISSN - 0140-7775
DOI - 10.1111/jfd.12845
Subject(s) - tilapia , biology , outbreak , aquaculture , basic reproduction number , transmission (telecommunications) , population , aquaculture of tilapia , ecology , veterinary medicine , fishery , environmental health , virology , fish <actinopterygii> , medicine , electrical engineering , engineering
A novel virus, tilapia lake virus (Ti LV ), has been identified as a key pathogen responsible for disease outbreak and mass mortality of farmed tilapia. We used a deterministic susceptible‐infectious‐mortality ( SIM ) model to derive key disease information appraised with published Ti LV ‐induced cumulative mortality data. The relationship between tilapia mortality and Ti LV exposure dosages was described by the Hill model. Furthermore, a disease control model was proposed to determine the status of controlled Ti LV infection using a parsimonious control reproduction number ( R C )‐control line criterion. Results showed that the key disease determinants of transmission rate and basic reproduction number ( R 0 ) could be derived. The median R 0 estimate was 2.59 in a cohabitation setting with 2.6 × 10 5 TCID 50 fish −1 Ti LV . The present R C ‐control model can be employed to determine whether Ti LV containment is feasible in an outbreak farm by quantifying the current level of transmission. The SIM model can then be applied to predict what additional control is required to manage R C < 1. We offer valuable tools for aquaculture engineers and public health scientists the mechanistic‐based assessment that allows a more rigorous evaluation of different control strategies to reduce waterborne diseases in aquaculture farming systems.