Data for: Dataset of white spot disease affected shrimp farmers disaggregated by the variables of farm site, environment, disease history, operational practices, and saline zones

Contrivance of data-set Among the aquaculture species in Bangladesh, shrimp is the most vulnerable to disease, specifically to White Spot Disease (WSD) that causes complete loss of entire farm production. Al almost every year. Due to the outbreak of WSD caused by White Spot Syndrome Virus (WSSV), the Asian shrimp farming sector lost USD 20 billion in 2018, of which a lion share was from Bangladesh (Davies, 2019). In the condition of both vertical and horizontal transmission of WSSV, there is no effective treatment for vertical transmission whereas horizontal transmission can be mitigated by taking some management measures within the farming practices. An extensive review of literature, and field studies and observations were conducted to identify the variables linked to the risk factors of WSD, and accordingly, the google featured questionnaire was developed for the survey. The survey was conducted using android mobile phone with 233 shrimp farmers in Khulna, Bagerhat and Satkhira districts of Bangladesh. This dataset has been analyzed through multivariate statistical analysis to identify the risk factors of WSD and the results were published in a journal article. The results are likely to be useful for policymakers and development organizations to reduce the impacts of WSD on shrimp farming in Bangladesh. Potentials of the data-set This dataset has a large number of variables, some of which can be reclassified to develop nominal/categorical/dependent variables, and can be used for further statistical analysis. The dataset has also the GPS coordinates of all the 233 farms individually which can be used for spatial and longitudinal analysis in the future. The dataset reposited here in the Mendeley will be useful as the baseline data for analyzing the changes of shrimp farming in the coming years in Bangladesh