Risk Factors Associated with Acute Hepatopancreatic Necrosis Disease (AHPND) Outbreak in the Mekong Delta, Viet Nam

Boonyawiwat, Visanu

doi:10.33997/j.afs.2018.31.s1.016

Cited by 9 publications

(12 citation statements)

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“…Based on the cross-sectional data from the MRD of Vietnam in 2012 under the TCP/VIE/3304 project of FAO, the case-control study showed that the risk factors at the farm level included a larger culture area, using the sun-dried method for cleaning the pond bottom during the pond preparation process and location near other farms and sharing the same water source were affected by AHPND [ 12 ]. However, our study did not produce the same results because of the different study designs and factors measured.…”

Section: Discussionmentioning

confidence: 99%

“…However, these might become risk factors if the sample size were large enough. The previous research in the MRD demonstrated that the sun-dried method for cleaning the pond bottom during the pond preparation process was a risk factor [ 12 ].…”

Section: Discussionmentioning

confidence: 99%

“…A study was conducted in four districts on the MRD of Vietnam under the TCP/VIE/3304 project of Food and Agriculture Organization (FAO) during 2012-2013. The results showed that the main risk factors at the farm level were: Large farm size, using the sun-dried sediment method, farm location nearby other farms, and using a water source already affected by AHPND [ 12 ]. EHP infection was also identified as risk factor for AHPND [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

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Risk factors associated with acute hepatopancreatic necrosis disease at shrimp farm level in Bac Lieu Province, Vietnam

Van

Ngoc²,

Boonyawiwat

et al. 2021

Vet World

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Background and Aim: Acute hepatopancreatic necrosis disease (AHPND) is a severe disease in shrimp farms and adversely affected the shrimp industry of Vietnam. So far, the study on risk factors associated with AHPND outbreaks is limited. The objective of this study was to determine the potential risk factors of AHPND at the shrimp farm level in Bac Lieu Province, Vietnam. Materials and Methods: Real-time-Polymerase chain reaction was used to analyze data collected from an active surveillance program of shrimp farms in 2017 in the Vinh Tien and Vinh Lac villages, Vinh Thinh commune, Hoa Binh district in Bac Lieu Province, Vietnam. The matched case-control study selected 20 cases and 20 control farms from 134 shrimp farms. In 2018, face-to-face interviews using structured questionnaires were conducted with the farmers of these selected farms. Results: Of the 59 studied variables, seven had p≤0.2 based on bivariate analyses. The results of multivariable analysis showed that the presence of fish-eating birds on shrimp farms was a significant association with AHPND (odds ratio=8, p=0.049). Conclusion: To reduce the effect of AHPND, farmers should apply effective methods to manage wild animals such as using a grid or net to cover the pond, combined with improved biosecurity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Risk factors associated with acute hepatopancreatic necrosis disease at shrimp farm level in Bac Lieu Province, Vietnam

Van

Ngoc²,

Boonyawiwat

et al. 2021

Vet World

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“…As we were not able to identify any study that described all elements of a surveillance programme implemented at local, national or global levels, we reviewed studies on aquatic animal diseases to which surveillance tools were applied. These included the following: estimation of component surveillance sensitivity using scenario tree modelling to demonstrate the freedom from viral haemorrhagic septicaemia (VHS) in farmed Atlantic salmon (Salmo salar) in Norway (Lyngstad et al 2016); Australia's national surveillance programme to demonstrate national freedom from white spot disease (WSD) (Hood et al 2019); use of an active surveillance programme to study risk factors of acute hepatopancreatic necrosis disease (AHPND) in shrimp in Bac Lieu province, Viet Nam (Nguyen et al 2019) and the Mekong Delta, Viet Nam (Boonyawiwat et al 2018). Other national-level studies, for example in Chile, were also available (see Section 4).…”

Section: Development Of the 12-point Checklistmentioning

confidence: 99%

A 12‐point checklist for surveillance of diseases of aquatic organisms: a novel approach to assist multidisciplinary teams in developing countries

Bondad‐Reantaso

Fejzić

MacKinnon

et al. 2021

Reviews in Aquaculture

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A 12-point checklist in the design and practical application of active surveillance of diseases in aquatic organisms (farmed and wild) has been developed to serve as a methodological approach and guidance for a multidisciplinary team particularly in countries where surveillance expertise is limited. The checklist is based on a review of available main aquatic surveillance references and scientific literature and was further developed based on the outcomes of several aquaculture biosecurity project-related workshops hosted by the Food and Agriculture Organization of the United Nations. The checklist includes the following: (1) scenario setting;(2) defining surveillance objective; (3) defining the populations; (4) disease clustering; (5) case definition; (6) diagnostic testing; (7) study design and sampling; (8) data collection and management; (9) data analysis; (10) validation and quality assurance; (11) human and financial resources and logistics requirements; and (12) surveillance in the bigger picture. For a multidisciplinary approach to disease control, knowledge of fish biology, aquaculture systems and many aspects of aquaculture health management are required. Surveillance needs significant financial investment and must be supported by adequate diagnostic capability, information system management, legal framework and communication networks, with transparent reporting mechanisms to allow rapid disease response for serious diseases of aquatic organisms. It is a stepwise and pragmatic approach that offers a good starting point for addressing disease issues especially in developing countries. It can be used as a model to build targeted surveillance competency and a basic reference when implementing a surveillance programme or improving existing programmes.

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“…Technical efficiency estimation in shrimp farming is useful to promote shrimp production through an efficient and sustainable combination of some variables (Begum et al, 2013). However, despite improved yield obtainable from input manipulation, farm‐level activities are still influenced by factors including production technologies, biological variables, size of farms, differences in social characteristics, such as educational level or extreme climatic events (Alam et al, 2019; Boonyawiwat et al, 2018; Tendencia & Verreth, 2010). Previous studies on technical efficiencies have investigated varying production technologies (Long et al, 2020) as well as biological variables (Vinh et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Influence of socio‐economic factors and environmental hazards on technical efficiency of shrimp farms: A stochastic frontier production analysis

Folorunso

Rahman²,

Olowe

et al. 2021

Aquaculture Research

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Shrimp farming is a key component of Vietnamese aquaculture contributing ~5% to their gross domestic product annually. Environmental hazards and socio‐economic parameters among other factors influence shrimp productivity in Vietnam. The present study employed the stochastic frontier production approach to investigate how technical efficiency (TE) of semi‐intensive and intensive shrimp farms is influenced by socio‐economic factors and environmental hazards. A questionnaire was administered to ascertain farmers' cost of major inputs (labour, seed, feed and lime), socio‐economic factors, coupled with environmental hazards (flood, pollution and drought experience). Findings revealed a mean TE of approximately 65% and 76% for semi‐intensive and intensive farms respectively (though, non‐significant as p ≥ 0.05). The input variables, shrimp seeds, feed and lime were found to be important variables in the intensive systems, as they positively correlated with TE in intensive systems. In the inefficiency model, education positively correlated with the TE in both systems, indicating that educated farmers are more efficient. Pollution negatively correlated with TE in both systems. With <80% of the farmers extremely affected by floods and droughts, and about 95% affected by pollution, the present study concludes there is a thorough impact of the above environmental hazards on farmers' technical efficiency.

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Risk Factors Associated with Acute Hepatopancreatic Necrosis Disease (AHPND) Outbreak in the Mekong Delta, Viet Nam

Cited by 9 publications

References 0 publications

Risk factors associated with acute hepatopancreatic necrosis disease at shrimp farm level in Bac Lieu Province, Vietnam

Risk factors associated with acute hepatopancreatic necrosis disease at shrimp farm level in Bac Lieu Province, Vietnam

A 12‐point checklist for surveillance of diseases of aquatic organisms: a novel approach to assist multidisciplinary teams in developing countries

Influence of socio‐economic factors and environmental hazards on technical efficiency of shrimp farms: A stochastic frontier production analysis

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