Article
Veterinary Sciences
C. Merca, I. Clemensson Lindell, L. Ernholm, L. Eliasson Selling, T. P. Nunes, M. Sjolund, F. C. Dorea
Summary: This paper tackles the challenges of using production data in syndromic surveillance (SyS) by developing a SyS system using routinely collected data from pig breeding farms. The system is capable of providing early detection of unexpected trends and serves as a useful tool for health and management decision-making for farmers.
PREVENTIVE VETERINARY MEDICINE
(2022)
Review
Veterinary Sciences
Ana Reis-Ferreira, Joana Neto-Mendes, Carmen Bras-Silva, Luis Lobo, Ana Patricia Fontes-Sousa
Summary: MicroRNAs have the potential to be biomarkers for the diagnosis and prognosis of cardiovascular diseases, but further research is needed before their implementation in veterinary clinical practice.
VETERINARY SCIENCES
(2022)
Article
Agriculture, Dairy & Animal Science
Yakhouba Kane, Gary Wong, George F. Gao
Summary: Over the past three decades, coronavirus diseases have had a significant impact on humans, particularly the recent emergence of the SARS-CoV-2 virus causing COVID-19, leading to economic disruptions and loss of lives. The rapid mutation of the SARS-CoV-2 genome has resulted in variants of concern, posing a global threat to human health. Identifying the zoonotic origin and transmission of these viruses is crucial for pandemic management and future outbreak prevention.
ANNUAL REVIEW OF ANIMAL BIOSCIENCES
(2023)
Article
Veterinary Sciences
Lynne Hayes, Jennifer Manyweathers, Yiheyis Maru, Emma Davis, Robert Woodgate, Marta Hernandez-Jover
Summary: This study investigates the involvement and contribution of private veterinarians to the Australian animal health surveillance system. Results show that private veterinarians are aware of and engaged in surveillance activities, but current and future contributions face challenges such as workload, remuneration, conflicts of interest, and clarity over responsibility sharing.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Virology
Jeremy V. Camp, Amelie Desvars-Larrive, Norbert Nowotny, Chris Walzer
Summary: Urban rats have been found to be potential hosts for zoonotic viruses, and monitoring their presence could provide valuable insights into the activity of these viruses in urban environments.
Article
Veterinary Sciences
Clazien J. J. de Vos, Ronald Petie, Ed G. M. van Klink, Manon Swanenburg
Summary: Increasing globalization and international trade contribute to the rapid spread of animal and human diseases. To prevent and detect outbreaks of emerging and re-emerging diseases, preparedness is necessary. This study developed a rapid risk assessment tool (RRAT) to inform risk managers about the incursion risk of multiple livestock diseases, the main sources of incursion, and the change in risk over time. RRAT uses a relational database to link data on disease outbreaks, introduction routes, and disease-specific parameters. The tool calculates a semi-quantitative risk score for each disease and allows for prioritization. The results showed that the legal introduction routes had the highest incursion risk for bovine tuberculosis, while the illegal route posed the highest risk for classical swine fever.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Health Care Sciences & Services
Nikola Ondrikova, John P. Harris, Amy Douglas, Helen E. Hughes, Miren Iturriza-Gomara, Roberto Vivancos, Alex J. Elliot, Nigel A. Cunliffe, Helen E. Clough
Summary: This study evaluates the predictive power of existing syndromic surveillance data and emerging data sources to predict norovirus activity across different age groups and regions in England. The results show that these data sources can help predict norovirus activity, particularly factors related to vomiting, gastroenteritis, and vulnerable populations. However, the relevance of syndromic predictors varies across age groups and regions due to differences in public health practices and information-seeking behavior.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Veterinary Sciences
Caitlin Pfeiffer, Mark Stevenson, Simon Firestone, John Larsen, Angus Campbell
Summary: The challenge of animal health surveillance lies in providing necessary information for disease prevention and control activities within available resources. Syndromic surveillance of farmers' disease observations can enhance data capture in extensive livestock farming systems. Identifying characteristics of reliable reporters is crucial for guiding recruitment and managing bias in surveillance systems.
PREVENTIVE VETERINARY MEDICINE
(2021)
Review
Microbiology
Rodolphe Mader, Cristina Munoz Madero, Birgit Aasmae, Clemence Bourely, Els M. Broens, Luca Busani, Benedicte Callens, Lucie Collineau, Paloma Crespo-Robledo, Peter Damborg, Maria-Eleni Filippitzi, William Fitzgerald, Annet Heuvelink, Jobke van Hout, Heike Kaspar, Madelaine Norstrom, Karl Pedersen, Tarja Pohjanvirta, Lucie Pokludova, Fabiana Dal Pozzo, Rosemarie Slowey, Cristiana Teixeira Justo, Anne Margrete Urdahl, Alkiviadis Vatopoulos, Christos Zafeiridis, Jean-Yves Madec, Jean-Philippe Amat
Summary: The monitoring of antimicrobial resistance in animal bacterial pathogens is not coordinated at a European level. Experts have recommended the establishment of the European Antimicrobial Resistance Surveillance network in Veterinary medicine (EARS-Vet). This study identified national monitoring systems in 27 EU-JAMRAI-affiliated countries, described their structures and operations, and analyzed their strengths, weaknesses, opportunities, and threats. The findings highlight important gaps in AMR data generation in Europe and provide useful information for countries planning to build or improve their systems.
FRONTIERS IN MICROBIOLOGY
(2022)
Review
Chemistry, Analytical
Hiram Martin Valenzuela-Amaro, Alberto Aguayo-Acosta, Edgar Ricardo Melendez-Sanchez, Orlando de la Rosa, Perla Guadalupe Vazquez-Ortega, Mariel Araceli Oyervides-Munoz, Juan Eduardo Sosa-Hernandez, Roberto Parra-Saldivar
Summary: Food and waterborne illnesses are a major concern in global health and food safety. Traditional methods for detecting pathogens are often time-consuming and unsuitable for large-scale monitoring, thus there is a need for novel and faster detection methods. Biosensor devices have emerged as a new tool for rapid detection of food and water pathogens. Nanomaterials offer unique advantages for pathogen detection, enhancing the sensitivity and selectivity of biosensors.
Editorial Material
Immunology
Juliana da Silva, Sherri Pals, Joy Chang, Stephanie Hackett, Catherine Godfrey, Elliot Raizes
Summary: To ensure the continued effectiveness of dolutegravir-based regimens, monitoring emerging drug resistance is crucial in order to inform treatment strategies for patients who are not responding to the treatment.
JOURNAL OF INFECTIOUS DISEASES
(2022)
Article
Veterinary Sciences
Katie Waine, Constance White, Rachel S. Dean, Chris Hudson, Jonathan N. Huxley, Marnie L. Brennan
Summary: This study explores the process and feasibility of prospective and retrospective data collection for farm animal clinical audit at three different practices in the UK. It found that retrospective clinical audit was challenging due to barriers in establishing diagnosis and patient identity, while prospective data collection was feasible with sufficient case accrual and practitioner engagement. Further research is needed to investigate the use of clinical coding and alternatives to practice management software to improve retrospective data availability for clinical audit.
VETERINARY SCIENCES
(2021)
Article
Public, Environmental & Occupational Health
Carolyn M. Adam, Rene Borroto, Ebony Thomas, Jessica Tuttle, Jessica Pavlick, Cherie Drenzek
Summary: Syndromic surveillance was found to enhance notifiable disease case-based surveillance for varicella in Georgia, by providing timely and effective case detection. Cases identified through syndromic surveillance were less likely to be outbreak-associated compared to cases identified through other sources, potentially due to early detection. The study concluded that syndromic surveillance is a useful tool to improve varicella surveillance.
PUBLIC HEALTH REPORTS
(2022)
Article
Multidisciplinary Sciences
Sean Farrell, Charlotte Appleton, Peter-John Maentylae Noble, Noura Al Moubayed
Summary: Effective public health surveillance requires consistent monitoring of disease signals. This paper introduces PetBERT, a large language model trained on veterinary electronic health records (EHRs) to enhance disease surveillance in veterinary medicine. PetBERT-ICD, an additional training, achieves high accuracy in automatically coding veterinary clinical EHRs, outperforming current strategies and detecting disease outbreaks up to 3 weeks earlier.
SCIENTIFIC REPORTS
(2023)
Review
Chemistry, Multidisciplinary
Linlin Yao, Wenting Zhu, Jianbo Shi, Tailin Xu, Guangbo Qu, Wenhua Zhou, Xue-Feng Yu, Xueji Zhang, Guibin Jiang
Summary: This paper emphasizes the importance and challenges of researching the detection of novel coronaviruses in different environments, as well as potential improvements in virus detection techniques for environmental surveillance.
CHEMICAL SOCIETY REVIEWS
(2021)
Article
Fisheries
Jaewoon Jeong, Crawford W. Revie
Article
Fisheries
Christopher D. Todd, Nora N. Hanson, Lars Boehme, Crawford W. Revie, Ana R. Marques
Summary: This study examined the relationship between variation in circulus spacing on the scales of wild Atlantic salmon and changes in body length growth rate, finding that as sea surface temperatures have risen, significant changes in post-smolt growth pattern of salmon occurred.
JOURNAL OF FISH BIOLOGY
(2021)
Article
Fisheries
Danielle Cantrell, Raphael Vanderstichel, Ramon Filgueira, Jon Grant, Crawford W. Revie
Summary: Sea lice pose significant economic and ecological challenges to the salmon farming industry. A coupled biological and physical model was validated to simulate the dispersal of sea lice larvae from salmon farms in British Columbia, Canada. The validation process highlighted the complexities and challenges associated with validating biophysical dispersal simulations, emphasizing the need for further development of validation techniques for agent-based models.
AQUACULTURE ENVIRONMENT INTERACTIONS
(2021)
Article
Veterinary Sciences
Fernanda C. Dorea, Crawford W. Revie
Summary: The era of big data has brought about a significant change in health and epidemiology, primarily in the diversity of data being used rather than the volume. Non-health data sources are increasingly utilized for epidemiological inference, with the key challenges being data integration and decision-making support amidst the growing complexity of data in population health.
FRONTIERS IN VETERINARY SCIENCE
(2021)
Article
Fisheries
Jaewoon Jeong, Marit Stormoen, Gregor F. McEwan, Krishna K. Thakur, Crawford W. Revie
Summary: Efforts have been made to develop effective lice control strategies for tackling the challenges posed by ectoparasite Lepeophtheirus salmonis on salmon farms. Understanding the key parameters affecting L. salmonis population dynamics is crucial for informed management decisions and prevention strategies. The study suggests that prevention of infestation before lice attach to fish is more effective than treating already infested salmon.
Article
Fisheries
Jaewoon Jeong, Gregor F. McEwan, Gabriel Arriagada, Cristian Gallardo-Escarate, Crawford W. Revie
Summary: The salmon louse C. rogercresseyi is a common ectoparasite of farmed salmonids in Chile, and further research is required to adequately model its complete population dynamics and support effective control and mitigation on Chilean salmon farms.
JOURNAL OF FISH DISEASES
(2022)
Editorial Material
Veterinary Sciences
Fernanda C. Dorea, Timothee Vergne, Marnie Brennan, Gerdien van Schaik, Damien Barrett, Luis Pedro Carmo, Philip A. Robinson, Dave C. Brodbelt, K. Marie McIntyre
PREVENTIVE VETERINARY MEDICINE
(2021)
Article
Multidisciplinary Sciences
S. Koepper, C. W. Revie, H. Stryhn, K. F. Clark, S. Scott-Tibbetts, K. K. Thakur
Summary: The study investigated the sex ratio patterns of lobsters in two lobster fishing areas in western Nova Scotia, Canada, and identified factors associated with skewed sex ratios. Significant temporal patterns in sex ratios were found to differ by fishing area, with lower bottom temperatures and deeper water depths associated with higher prevalence of females, particularly in larger lobsters.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Jaewoon Jeong, Marit Stormoen, Krishna K. Thakur, Crawford W. Revie
Summary: Accurate monitoring of sea lice levels on salmon farms is crucial for efficient management of louse infestation. Increasing sample sizes, using appropriate treatment thresholds, and adjusting sampling intervals can improve the accuracy of abundance estimates and thus increase the frequency of effective treatments.
FRONTIERS IN MARINE SCIENCE
(2021)
Correction
Veterinary Sciences
Fernanda C. Dorea, Crawford W. Revie
FRONTIERS IN VETERINARY SCIENCE
(2021)
Article
Multidisciplinary Sciences
Svenja Koepper, Shannon Scott-Tibbetts, Jean Lavallee, Crawford W. Revie, Krishna K. Thakur
Summary: Monitoring the moulting phenology of American lobsters is essential for maintaining sustainable lobster stocks. This study collected data over a twelve-year period from six lobster fishing areas in Atlantic Canada, analyzing lobster moult indicators and life-history traits. The dataset is valuable for understanding lobster life history, moulting cycle, and fisheries science and marine ecology.
Article
Fisheries
Jeong Jaewoon, Arriagada Gabriel, Crawford W. Revie
Summary: This study explores the impact of target setting on the reporting of sea louse infestation on salmon farms. The findings suggest that the accuracy of reported data can be influenced by the specification of threshold levels. Researchers and fish health professionals should be aware of potential biases in these data, and regulators should carefully consider the unintended consequences of setting certain threshold levels.
Article
Veterinary Sciences
Fernanda C. Dorea, Flavie Vial, Crawford W. Revie
Summary: Syndromic surveillance has driven the integration of big data analytics into animal disease surveillance systems in the past decade. As more data sources can be digitally processed, we discuss the need to ensure that the generated information is suitable for disease surveillance by focusing on data digitalization and information delivery design. We argue that data-driven surveillance's value depends on a needs-driven approach and highlight current challenges and research frontiers in syndromic surveillance.
FRONTIERS IN VETERINARY SCIENCE
(2023)
Article
Microbiology
Svenja Koepper, K. Fraser Clark, J. Trenton Mcclure, Crawford W. Revie, Henrik Stryhn, Krishna K. Thakur
Summary: This study aimed to describe and analyze the shell microbiome of apparently healthy lobsters in Atlantic Canada. The results showed regional and seasonal differences in the shell microbiome composition, with host factors such as sex, size, and moult stage having a smaller impact. The study provides valuable reference microbial data from lobsters in a disease-free state.
FRONTIERS IN MICROBIOLOGY
(2023)
Article
Fisheries
Annette S. Boerlage, Shailesh Shrestha, Ilkka Leinonen, Mona Dverdal Jansen, Crawford W. Revie, Aaron Reeves, Luiza Toma
Summary: Cultured and wild Atlantic salmon are affected by sea lice. This study estimates the cost-effectiveness of sea lice management measures in Scotland and finds that skirts and the use of in-feed medicines are the most cost-effective. Integrated management strategies may reduce the risk of developing resistance.