Data for: A sequential assessment of WSD risk factors of shrimp farming in Bangladesh: looking for a sustainable farming system

Contrivance of data-set Among the aquaculture species, shrimp are more vulnerable to disease specially White Spot Disease (WSD) with complete loss of the production comparing with the other disease of crustaceans as well as of fin fish. In case of crustacean aquaculture, only the Asian shrimp farming sector have to lose USD 20 billion in last year with the lion share of Bangladesh from WSD (Davies, 2019). With the both chance of vertical and horizontal transmission of White Spot Syndrome Virus (WSSV), there is no rewarding treatment for vertical transmission where the horizontal transmission can be mitigated by taking some kind of management measures within the farming practice. Performing an in-depth digging of the literature the variables of this data-set was set which can be analyzed and make a perceive measures about the shrimp farming system and practices in Bangladesh and address the gap between describing existing practices and identifying potential WSD risk reduction practices. Potentials of the data-set This data-set can be screened by some short of statistical analysis to attain the notions of bio-security and develop relevant guidelines concerning available and easily adopted culture strategies for marginal farmers unpacking the risk factors related to WSD prevalence in shrimp farming. Action to originate the data-set This data-set was produced conducting a baseline survey of the questionnaire with 233 shrimp farmers all of whom had experienced WSD in the past years (2010 to 2017) and also within the survey time frame of this data collection based on the available official data/information of shrimp aquaculture gathered by the Department of Fisheries, Bangladesh. In Bangladesh prospect, considering the severity of WSSV prevalence this data-set was collected from three different saline zone namely low saline (Khulna), intermediate saline (Bagerhat), and saline (Satkhira) zone since these areas have been collectively termed as ‘shrimp zone’ due to considerable development of shrimp aquaculture for favorable biophysical resource, agro-climatic conditions, and connectivity of saline water with river and canals. In terms of culture systems, both extensive and semi-intensive shrimp farm was considered to produce this data-set. The variables of this data-set was selected by two sequential steps process. The first step was to build a conceptual framework based on a comprehensive literature review to frame the major domains of the explanatory variables (WSSV carrier, farm operation and stressors) with WSD prevalence as the outcome. The second step was involved applying participatory rural appraisal tools (key informant interview and focus group discussion) with shrimp farmers and other value-chain stakeholders to highlight any other potential risk factors. Having gained a suitable set of variables considered to be associated with WSD, a field survey questionnaire was then developed to collect the data from the respondents.数据集构建背景 在水产养殖物种中，虾类相较于其他甲壳类及硬骨鱼病害，更易受病害侵袭，其中白斑病（White Spot Disease, WSD）可导致养殖产量完全绝收。据2019年Davies的研究，仅亚洲虾类养殖产业去年便因白斑病损失高达200亿美元，孟加拉国的损失额占据其中最大份额。白斑综合征病毒（White Spot Syndrome Virus, WSSV）存在垂直传播与水平传播两种途径，目前针对垂直传播尚无有效防治手段，而水平传播可通过养殖环节中的管理措施加以缓解。本数据集的变量设置依托深度文献调研，旨在分析孟加拉国虾类养殖系统与养殖模式，厘清现有养殖模式现状，并识别可降低白斑病风险的潜在优化路径，填补相关研究空白。 数据集应用潜力 本数据集可通过各类统计分析手段开展筛查，以明晰生物安全相关认知，并针对弱势养殖户制定可落地的现有养殖策略相关指南，梳理虾类养殖中与白斑病流行相关的风险因素。 数据集采集流程 本数据集通过针对233名虾农的基线问卷调研生成，所有受访虾农均在2010至2017年间及本次数据采集的调研周期内遭遇过白斑病疫情。调研数据依托孟加拉国渔业部收集的官方虾类水产养殖相关公开资料整理而来。结合孟加拉国国情，考虑到白斑综合征病毒（WSSV）流行的严峻性，本数据集的采集覆盖了三类不同盐碱区域：低盐度区（库尔纳Khulna）、中盐度区（巴盖尔哈德Bagerhat）以及高盐度区（萨特赫拉Satkhira）。上述区域因具备适宜的生物物理资源、农业气候条件，且咸水与河流、沟渠连通，虾类水产养殖业发展成熟，因此被统称为"虾类养殖区"。养殖模式方面，本数据集涵盖了粗放型与半精养型两类虾类养殖场。 数据集变量选取流程 本数据集的变量选取遵循两步递进流程：第一步通过全面的文献综述构建概念框架，以白斑病流行率作为因变量，确定解释变量的核心维度：白斑综合征病毒携带者、养殖场运营情况及胁迫因子；第二步则通过与虾农及其他价值链利益相关方开展参与式乡村评估工具调研（包括关键知情人访谈与焦点小组讨论），挖掘其他潜在风险因素。在确定与白斑病相关的合理变量集后，研究团队随后设计了实地调研问卷，用于从受访对象处采集数据。