DTU‐DADS‐Aqua: A simulation framework for modelling waterborne spread of highly infectious pathogens in marine aquaculture-Reference-Cited by-同舟云学术

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DTU‐DADS‐Aqua: A simulation framework for modelling waterborne spread of highly infectious pathogens in marine aquaculture

Published:2021-07-03 Issue: Volume: Page:
ISSN:1865-1674
Container-title:Transboundary and Emerging Diseases
language:en
Short-container-title:Transbounding Emerging Dis

Author:

Romero João F.¹^ORCID,Gardner Ian¹,Price Derek²,Halasa Tariq³,Thakur Krishna¹

Affiliation:

1. Department of Health Management Atlantic Veterinary College University of Prince Edward Island Charlottetown Prince Edward Island Canada

2. Aquaculture Environmental Operations Aquaculture Management Division Fisheries and Oceans Canada Ottawa Ontario Canada

3. Department of Veterinary and Animal Sciences Faculty of Health and Medical Sciences University of Copenhagen Frederiksberg Denmark

Funder

Ocean Frontier Institute

Canada First Research Excellence Fund

Canada Excellence Research Chairs, Government of Canada

Publisher

Wiley

Subject

General Veterinary,General Immunology and Microbiology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tbed.14195

Reference58 articles.

1. Space–time modelling of the spread of pancreas disease (PD) within and between Norwegian marine salmonid farms

2. Modelling the spread of infectious salmon anaemia among salmon farms based on seaway distances between farms and genetic relationships between infectious salmon anaemia virus isolates

3. A stochastic model for the assessment of the transmission pathways of heart and skeleton muscle inflammation, pancreas disease and infectious salmon anaemia in marine fish farms in Norway

4. Space-Time Modelling of the Spread of Salmon Lice between and within Norwegian Marine Salmon Farms

5. The Salmon Disease Crisis in Chile

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1. Eliciting expert opinion on GIS use for surveillance and disease response in the aquatic animal health domain;Frontiers in Marine Science;2024-07-23

2. Estimating SVCV waterborne transmission and predicting experimental epidemic development: A modeling study using a machine learning approach;Water Biology and Security;2024-01

3. Modelling the dispersion of infectious salmon anemia virus from Atlantic salmon farms in the Quoddy Region of New Brunswick, Canada and Maine, USA;FACETS;2024-01-01

4. An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture;Information;2023-10-24

5. Assessments of epidemic spread in aquaculture: comparing different scenarios of infectious bacteria incursion through spatiotemporal hybrid modeling;Frontiers in Veterinary Science;2023-09-13

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