Authors : Nandita Roy and Nilimesh Halder
Abstract: Fishery is considered as an emerging farming sector in Bangladesh and plays an important role in annual economic growth. This emerging industry is facing several hindrances and infectious disease of fish is one of them. In early days, fish disease research was on various respects of pathogens rather than investigating dynamics of disease spread in aquatic population. Vast amounts of data are available on the responses of these pathogens to environmental and host related factors and generally statistical modeling of those data could be used to understand the relative importance of the factors influencing the spread of disease. In particular, the data obtained from aquaculture systems could be robust in formulating mathematical model due to fewer assumptions involved. Thus, nonlinear relationships between various factors affecting disease outcome can be evaluated more efficiently and realistic predictions can be obtained using mathematical model. In this study, we formulate an SIR epidemic model for aquatic infectious disease to investigate the disease dynamics. The goal of this study is to assess the basic concept of disease modeling for aquatic infectious disease and provide insight into the relative importance of parameters playing a major role in disease outbreaks.
Nandita Roy and Nilimesh Halder, 2010. Modeling of Aquatic Infectious Disease in Bangladesh. Journal of Fisheries International, 5: 8-13.