Pub Date : 2025-10-22DOI: 10.1016/j.prevetmed.2025.106722
Sung Dae Park , Yeonsu Oh , Dae Sung Yoo
Highly Pathogenic Avian Influenza (HPAI), caused by the Orthomyxoviridae family of RNA viruses, poses a serious threat to the global poultry industry, resulting in severe economic losses and raising public health concerns. In South Korea, HPAI outbreaks have recurred since the first case was confirmed in December 2003, with multiple virus subtypes (H5N1, H5N8, and H5N6) affecting domestic poultry farms. Among poultry species, domestic ducks play a crucial role in viral transmission due to their heightened susceptibility and asymptomatic shedding, increasing the risk of unnoticed outbreaks and environmental contamination. To mitigate the impact of HPAI, South Korea implemented the Duck Farming Restriction Policy, limiting duck farming activities during high-risk winter months (November to March). This study evaluates the preventive effectiveness of this policy using a Bayesian time-series modeling approach based on longitudinal outbreak data from 2003 to 2024. The analysis includes key epidemiological variables such as number of confirmed cases and outbreak durations. Our findings provide the first scientific evidence supporting the effectiveness of seasonal duck farming restrictions in reducing HPAI incidence. While global HPAI prevalence has increased significantly since 2020, South Korea has maintained stable or declining outbreak trends, suggesting that proactive control strategies play a crucial role in disease mitigation. These results emphasize the importance of adaptive biosecurity policies in controlling HPAI and offer valuable insights for future pandemic preparedness in the poultry sector.
{"title":"Combating Highly Pathogenic Avian Influenza in South Korea: A 15-year retrospective and forward-looking study","authors":"Sung Dae Park , Yeonsu Oh , Dae Sung Yoo","doi":"10.1016/j.prevetmed.2025.106722","DOIUrl":"10.1016/j.prevetmed.2025.106722","url":null,"abstract":"<div><div>Highly Pathogenic Avian Influenza (HPAI), caused by the Orthomyxoviridae family of RNA viruses, poses a serious threat to the global poultry industry, resulting in severe economic losses and raising public health concerns. In South Korea, HPAI outbreaks have recurred since the first case was confirmed in December 2003, with multiple virus subtypes (H5N1, H5N8, and H5N6) affecting domestic poultry farms. Among poultry species, domestic ducks play a crucial role in viral transmission due to their heightened susceptibility and asymptomatic shedding, increasing the risk of unnoticed outbreaks and environmental contamination. To mitigate the impact of HPAI, South Korea implemented the Duck Farming Restriction Policy, limiting duck farming activities during high-risk winter months (November to March). This study evaluates the preventive effectiveness of this policy using a Bayesian time-series modeling approach based on longitudinal outbreak data from 2003 to 2024. The analysis includes key epidemiological variables such as number of confirmed cases and outbreak durations. Our findings provide the first scientific evidence supporting the effectiveness of seasonal duck farming restrictions in reducing HPAI incidence. While global HPAI prevalence has increased significantly since 2020, South Korea has maintained stable or declining outbreak trends, suggesting that proactive control strategies play a crucial role in disease mitigation. These results emphasize the importance of adaptive biosecurity policies in controlling HPAI and offer valuable insights for future pandemic preparedness in the poultry sector.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106722"},"PeriodicalIF":2.4,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145757553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-20DOI: 10.1016/j.prevetmed.2025.106725
V. Margarita Sanguinetti , Cindy Adams , John Campbell , Sylvia L. Checkley , Cheryl L. Waldner , M. Claire Windeyer
Determining the frequency of outbreaks and use of management practices in Canadian beef cow-calf herds is important to understand the extent to which herds may be vulnerable to disease and help direct future management recommendations. Objectives were to 1. benchmark the frequency of outbreaks of preweaning Neonatal Calf Diarrhea (NCD), Bovine Respiratory Disease (BRD), and calf mortality, as well as the use of relevant management practices, 2. compare the frequency of outbreaks and practices across regions, 3. assess the unconditional association of these practices with outbreaks, and 4. describe the importance producers gave to productivity parameters. Participants in the Canadian Cow-Calf Surveillance Network were surveyed in October 2022. One hundred and twenty-five participants responded to the questionnaire. Over 40 % of herds had at least one type of outbreak from 2019 to 2021. Eighty percent of herds that had mortality outbreaks also had NCD or BRD ones. The frequency of outbreaks did not differ across regions (P ≥ 0.05), while the use of several breeding, calving, colostrum, and biosecurity practices did (P < 0.05). Several calving practices associated with intensive management were associated with increased odds of herds having NCD or calf mortality outbreaks. Also, calving in large pastures was associated with increased the odds of mortality outbreaks, and leasing or sharing bulls with increased the odds of BRD outbreaks. Several commonly used high-risk herd-level practices could be associated with the high frequency of outbreaks and warrant further investigation as potential risk factors.
{"title":"Benchmarking management practices that impact calf morbidity and mortality in Canadian beef cow-calf herds","authors":"V. Margarita Sanguinetti , Cindy Adams , John Campbell , Sylvia L. Checkley , Cheryl L. Waldner , M. Claire Windeyer","doi":"10.1016/j.prevetmed.2025.106725","DOIUrl":"10.1016/j.prevetmed.2025.106725","url":null,"abstract":"<div><div>Determining the frequency of outbreaks and use of management practices in Canadian beef cow-calf herds is important to understand the extent to which herds may be vulnerable to disease and help direct future management recommendations. Objectives were to 1. benchmark the frequency of outbreaks of preweaning Neonatal Calf Diarrhea (NCD), Bovine Respiratory Disease (BRD), and calf mortality, as well as the use of relevant management practices, 2. compare the frequency of outbreaks and practices across regions, 3. assess the unconditional association of these practices with outbreaks, and 4. describe the importance producers gave to productivity parameters. Participants in the Canadian Cow-Calf Surveillance Network were surveyed in October 2022. One hundred and twenty-five participants responded to the questionnaire. Over 40 % of herds had at least one type of outbreak from 2019 to 2021. Eighty percent of herds that had mortality outbreaks also had NCD or BRD ones. The frequency of outbreaks did not differ across regions (<em>P</em> ≥ 0.05), while the use of several breeding, calving, colostrum, and biosecurity practices did (<em>P</em> < 0.05). Several calving practices associated with intensive management were associated with increased odds of herds having NCD or calf mortality outbreaks. Also, calving in large pastures was associated with increased the odds of mortality outbreaks, and leasing or sharing bulls with increased the odds of BRD outbreaks. Several commonly used high-risk herd-level practices could be associated with the high frequency of outbreaks and warrant further investigation as potential risk factors.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106725"},"PeriodicalIF":2.4,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145364184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-17DOI: 10.1016/j.prevetmed.2025.106726
Muhammad Shakeel Khaliq , Muhammad Hassan Mushtaq , Abdul Rehman , Farhat Nazir Awan , Muhammad Avais , Tariq Jamil
Brucellosis is a major zoonotic disease worldwide. This cross-sectional study aimed to determine the seropositive proportion of brucellosis and identify associated risk factors in small ruminants (sheep and goats) and livestock workers in Punjab, Pakistan. A total of 1783 blood samples were collected from unvaccinated sheep and goats across 219 flocks, along with 122 blood samples from occupationally exposed humans using convenience sampling of villages and flocks. Serum samples were tested using a commercial indirect-ELISA kit. Overall, 2.0 % of animals were seropositive, 9.1 % of flocks had at least one seropositive animal, and 9.8 % of livestock workers were seropositive. Significant animal-level risk factors included flock sizes > 50 (OR: 6.5), extensive production systems (OR: 5.6), introduction of new animals without quarantine (OR: 17.1), and mixed farming with large ruminants (OR: 4.0). In humans, contact with seropositive animals (OR: 8.2), animal abortions (OR: 16.2), and unpasteurized milk consumption (OR: 23.3) were key predictors. Real-time PCR confirmed Brucella abortus in sheep and goats, but no Brucella DNA was detected in humans. These findings underscore the importance of integrated surveillance, farmer education, and biosecurity measures to mitigate zoonotic transmission. Further large-scale studies using advanced molecular tools are recommended to validate these findings and support targeted brucellosis control programs.
{"title":"Brucellosis seropositivity and risk factors in small ruminants and livestock workers: A cross-sectional study in Punjab, Pakistan","authors":"Muhammad Shakeel Khaliq , Muhammad Hassan Mushtaq , Abdul Rehman , Farhat Nazir Awan , Muhammad Avais , Tariq Jamil","doi":"10.1016/j.prevetmed.2025.106726","DOIUrl":"10.1016/j.prevetmed.2025.106726","url":null,"abstract":"<div><div>Brucellosis is a major zoonotic disease worldwide. This cross-sectional study aimed to determine the seropositive proportion of brucellosis and identify associated risk factors in small ruminants (sheep and goats) and livestock workers in Punjab, Pakistan. A total of 1783 blood samples were collected from unvaccinated sheep and goats across 219 flocks, along with 122 blood samples from occupationally exposed humans using convenience sampling of villages and flocks. Serum samples were tested using a commercial indirect-ELISA kit. Overall, 2.0 % of animals were seropositive, 9.1 % of flocks had at least one seropositive animal, and 9.8 % of livestock workers were seropositive. Significant animal-level risk factors included flock sizes > 50 (OR: 6.5), extensive production systems (OR: 5.6), introduction of new animals without quarantine (OR: 17.1), and mixed farming with large ruminants (OR: 4.0). In humans, contact with seropositive animals (OR: 8.2), animal abortions (OR: 16.2), and unpasteurized milk consumption (OR: 23.3) were key predictors. Real-time PCR confirmed Brucella abortus in sheep and goats, but no Brucella DNA was detected in humans. These findings underscore the importance of integrated surveillance, farmer education, and biosecurity measures to mitigate zoonotic transmission. Further large-scale studies using advanced molecular tools are recommended to validate these findings and support targeted brucellosis control programs.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106726"},"PeriodicalIF":2.4,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145496501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-16DOI: 10.1016/j.prevetmed.2025.106714
Sangay Rinchen , Sithar Dorjee , Abigail Van Der Zwan , Rinzin Pem , Patricia Therese Campbell , Juan-Pablo Villanueva-Cabezas
Bovine tuberculosis (bTB) is a globally neglected zoonotic disease. In several low- and middle-income countries (LMIC), limited bTB surveillance and technologies to minimise milk-borne zoonoses put dairy consumers at high risk of bTB infection. Surprisingly, LMIC consumers are seldom investigated, which represents a significant knowledge gap that undermines existing efforts to mitigate zoonotic tuberculosis. We conducted a cross-sectional study in Bhutan where bTB control measures are lacking and raw dairy is widely consumed to assess dairy consumers’ awareness and their knowledge, attitudes, and practices (KAP) regarding bTB. We enrolled 347 participants at the eight milk outlets operating in the capital city to determine the level of awareness about bTB among this group and characterise their KAP towards bTB. Only 17.3 % of the participants had heard of bTB. Majority (90.1 %) of them knew there is treatment of tuberculosis (TB) in Bhutan and TB is curable (72.5 %). However, 70.1 % had misconception that infected people cannot appear healthy, and only 12 % knew bTB is zoonotic. Only 26 % and 24 % perceived milk and dairy products as high risk respectively compared to 56.5 % for meat and 85.8 % for consuming diseased animals. Over 80 % of participants reported consumption of milk and dairy products daily or weekly, 25 % consuming primarily raw or insufficiently boiled milk. Only a few consumers knew of bTB and its zoonotic potential (n = 42; 12 %, Confidence Interval 95 %: 8.9 %–16 %). Regarding health practices, 60 % had annual check-ups, 15.3 % had TB testing, 5.2 % had TB treatment, and vaccination status was uncertain. Unsupervised classification of the data using Generalised Low-Ranking Models revealed that most variability was explained by three demographic factors, a few attitudes towards bTB infection risk, and milk and dairy product consumption frequency. Our findings reveal a widespread lack of awareness and low-risk perception regarding milk-borne bTB among consumers. These results are consistent with findings in other LMICs and highlight that dairy consumers likely represent a blind spot in current efforts to mitigate the adverse effects of bTB in these settings.
{"title":"Dairy consumers' knowledge, attitudes, and practices towards zoonotic bovine tuberculosis in a country without veterinary and public health interventions: A cross-sectional study in Bhutan","authors":"Sangay Rinchen , Sithar Dorjee , Abigail Van Der Zwan , Rinzin Pem , Patricia Therese Campbell , Juan-Pablo Villanueva-Cabezas","doi":"10.1016/j.prevetmed.2025.106714","DOIUrl":"10.1016/j.prevetmed.2025.106714","url":null,"abstract":"<div><div>Bovine tuberculosis (bTB) is a globally neglected zoonotic disease. In several low- and middle-income countries (LMIC), limited bTB surveillance and technologies to minimise milk-borne zoonoses put dairy consumers at high risk of bTB infection. Surprisingly, LMIC consumers are seldom investigated, which represents a significant knowledge gap that undermines existing efforts to mitigate zoonotic tuberculosis. We conducted a cross-sectional study in Bhutan where bTB control measures are lacking and raw dairy is widely consumed to assess dairy consumers’ awareness and their knowledge, attitudes, and practices (KAP) regarding bTB. We enrolled 347 participants at the eight milk outlets operating in the capital city to determine the level of awareness about bTB among this group and characterise their KAP towards bTB. Only 17.3 % of the participants had heard of bTB. Majority (90.1 %) of them knew there is treatment of tuberculosis (TB) in Bhutan and TB is curable (72.5 %). However, 70.1 % had misconception that infected people cannot appear healthy, and only 12 % knew bTB is zoonotic. Only 26 % and 24 % perceived milk and dairy products as high risk respectively compared to 56.5 % for meat and 85.8 % for consuming diseased animals. Over 80 % of participants reported consumption of milk and dairy products daily or weekly, 25 % consuming primarily raw or insufficiently boiled milk. Only a few consumers knew of bTB and its zoonotic potential <em>(n = 42; 12 %, Confidence Interval 95 %: 8.9 %–16 %).</em> Regarding health practices, 60 % had annual check-ups, 15.3 % had TB testing, 5.2 % had TB treatment, and vaccination status was uncertain. Unsupervised classification of the data using Generalised Low-Ranking Models revealed that most variability was explained by three demographic factors, a few attitudes towards bTB infection risk, and milk and dairy product consumption frequency. Our findings reveal a widespread lack of awareness and low-risk perception regarding milk-borne bTB among consumers. These results are consistent with findings in other LMICs and highlight that dairy consumers likely represent a <em>blind spot</em> in current efforts to mitigate the adverse effects of bTB in these settings.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106714"},"PeriodicalIF":2.4,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145364183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-14DOI: 10.1016/j.prevetmed.2025.106723
Vitória R. Lima-Campêlo , Mariana Fonseca , Marie-Pascale Morin , Faustin Farison , William L. Nankam Nguekap , Karol G. Solano-Suarez , Herman W. Barkema , Waseem Shaukat , David L. Renaud , David F. Kelton , Gilles Fecteau , Jean-Philippe Roy , Pablo Valdés Donoso , Solène Le Manac'h , Juan C. Arango-Sabogal , Marie-Ève Paradis , Nancy Beauregard , Manon Racicot , Cécile Aenishaenslin , Simon Dufour
ProAction® is a mandatory Canadian milk quality assurance program that requires dairy farmers to conduct a biosecurity risk assessment with a veterinarian. Based on this assessment, the veterinarian provides personalized recommendations to improve farm biosecurity, resulting in a large volume of text data. This study aimed to develop a machine learning model capable of automatically classifying these biosecurity recommendations into 12 predefined categories. As the recommendations were written in French or English, all texts were translated into French to ensure consistency in feature extraction and model training. The model was trained on 11,250 manually classified veterinary recommendations from 3825 Québec dairy herds, collected between 2018 and 2021. Three algorithms were tested: Multinomial Naïve Bayes (MNB), Support Vector Machine (SVM), and Random Forest (RF). Performance was evaluated using precision, recall, and F1-score. The SVM achieved the highest performance while maintaining efficient processing time. The trained SVM model was selected to classify new recommendations collected between 2022 and 2024 from herds in Alberta, Ontario and Québec. To evaluate model’s performance on this new dataset, a random sample of 250 recommendations was manually classified. The agreement between human classification and model predictions resulted in a Cohen’s Kappa of 0.88, suggesting strong agreement. This study highlights the potential of machine learning to classify biosecurity recommendations and support timely, informed decision-making in dairy herd management.
{"title":"Automating classification of veterinary biosecurity recommendations using machine learning","authors":"Vitória R. Lima-Campêlo , Mariana Fonseca , Marie-Pascale Morin , Faustin Farison , William L. Nankam Nguekap , Karol G. Solano-Suarez , Herman W. Barkema , Waseem Shaukat , David L. Renaud , David F. Kelton , Gilles Fecteau , Jean-Philippe Roy , Pablo Valdés Donoso , Solène Le Manac'h , Juan C. Arango-Sabogal , Marie-Ève Paradis , Nancy Beauregard , Manon Racicot , Cécile Aenishaenslin , Simon Dufour","doi":"10.1016/j.prevetmed.2025.106723","DOIUrl":"10.1016/j.prevetmed.2025.106723","url":null,"abstract":"<div><div>ProAction® is a mandatory Canadian milk quality assurance program that requires dairy farmers to conduct a biosecurity risk assessment with a veterinarian. Based on this assessment, the veterinarian provides personalized recommendations to improve farm biosecurity, resulting in a large volume of text data. This study aimed to develop a machine learning model capable of automatically classifying these biosecurity recommendations into 12 predefined categories. As the recommendations were written in French or English, all texts were translated into French to ensure consistency in feature extraction and model training. The model was trained on 11,250 manually classified veterinary recommendations from 3825 Québec dairy herds, collected between 2018 and 2021. Three algorithms were tested: Multinomial Naïve Bayes (MNB), Support Vector Machine (SVM), and Random Forest (RF). Performance was evaluated using precision, recall, and F1-score. The SVM achieved the highest performance while maintaining efficient processing time. The trained SVM model was selected to classify new recommendations collected between 2022 and 2024 from herds in Alberta, Ontario and Québec. To evaluate model’s performance on this new dataset, a random sample of 250 recommendations was manually classified. The agreement between human classification and model predictions resulted in a Cohen’s Kappa of 0.88, suggesting strong agreement. This study highlights the potential of machine learning to classify biosecurity recommendations and support timely, informed decision-making in dairy herd management.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106723"},"PeriodicalIF":2.4,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145308889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-13DOI: 10.1016/j.prevetmed.2025.106721
Yrjö T. Gröhn , Guillaume Lhermie , Dirk Pfeiffer , Gregorio Torres , Elizabeth L. Fox , Julia A. Hertl
This study’s objectives were to investigate how delegates of the World Organisation for Animal Health (WOAH), particularly chief veterinary officers (CVOs), make decisions requiring immediate action, having national/international impacts on animal health and welfare and/or human health, and how the process creates new policies and practices. We interviewed 33 CVOs from 6 continents, on their background, jurisdiction, institutional structures, and decision-making processes, including types of decisions made, who they consulted, information used (and wished they knew), political, public and other influences, and resultant policy changes. The CVOs also discussed surprising and challenging phenomena, and what they learned. Qualitative analysis was conducted on interview transcriptions. Most CVOs had similar decision-making processes. They followed established protocols and national legislation aligned with WOAH international standards, relying on multidisciplinary teams of experts in science, economics, policy, and law, and those with knowledge of local field conditions, for guidance. Insufficient information and conflict between scientific evidence and political/economic pressure were common themes. Although stressful, most CVOs were committed to their work and felt they made valuable contributions towards both animal and human health. The findings suggest that regardless of background or specific geographical context, CVOs follow established protocols and need to have the ability to make informed subjective judgements as part of their decision making. Thus, CVO qualifications include subject matter knowledge and specific leadership qualities, which need to be considered when making CVO appointments. Presently, veterinarians receive inadequate training on integrating evidence and other factors to make informed, 'good' decisions. This study’s findings should be considered when developing the educational programs for veterinary students and established practitioners.
{"title":"Views from chief veterinary officers about decision making during animal health emergencies: A qualitative analysis","authors":"Yrjö T. Gröhn , Guillaume Lhermie , Dirk Pfeiffer , Gregorio Torres , Elizabeth L. Fox , Julia A. Hertl","doi":"10.1016/j.prevetmed.2025.106721","DOIUrl":"10.1016/j.prevetmed.2025.106721","url":null,"abstract":"<div><div>This study’s objectives were to investigate how delegates of the World Organisation for Animal Health (WOAH), particularly chief veterinary officers (CVOs), make decisions requiring immediate action, having national/international impacts on animal health and welfare and/or human health, and how the process creates new policies and practices. We interviewed 33 CVOs from 6 continents, on their background, jurisdiction, institutional structures, and decision-making processes, including types of decisions made, who they consulted, information used (and wished they knew), political, public and other influences, and resultant policy changes. The CVOs also discussed surprising and challenging phenomena, and what they learned. Qualitative analysis was conducted on interview transcriptions. Most CVOs had similar decision-making processes. They followed established protocols and national legislation aligned with WOAH international standards, relying on multidisciplinary teams of experts in science, economics, policy, and law, and those with knowledge of local field conditions, for guidance. Insufficient information and conflict between scientific evidence and political/economic pressure were common themes. Although stressful, most CVOs were committed to their work and felt they made valuable contributions towards both animal and human health. The findings suggest that regardless of background or specific geographical context, CVOs follow established protocols and need to have the ability to make informed subjective judgements as part of their decision making. Thus, CVO qualifications include subject matter knowledge and specific leadership qualities, which need to be considered when making CVO appointments. Presently, veterinarians receive inadequate training on integrating evidence and other factors to make informed, 'good' decisions. This study’s findings should be considered when developing the educational programs for veterinary students and established practitioners.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106721"},"PeriodicalIF":2.4,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145322069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-12DOI: 10.1016/j.prevetmed.2025.106719
Girma Birhan Asteraye , Ruth Jobling , Wudu T. Jemberu , Gina Pinchbeck , Theodore J.D. Knight-Jones , Rob Critchlow , Jonathan Rushton , Gemma L. Chaters
Working donkeys play a critical role in transportation, agriculture and household resilience in low- and middle-income countries. Other animals that are kept for production purposes, such as cattle, are often grouped into broad production system classes, such as dairy or pastoral, for comparison between and better understanding of the needs and outputs of animals within specific sectors. Despite the importance of working donkeys for sustaining livelihoods there are no systematic classifications of these populations. The aim of this study was to classify and characterise donkey systems in Ethiopia using household-level questionnaire data which included donkey ownership, husbandry, use and local environment data, through multiple factor and hierarchical cluster analysis. Household questionnaire data from 241 donkey-owning households in three districts of Ethiopia were used. Three distinct clusters of donkey ownership were identified: ‘Domestic-Pastoral’; ‘Domestic-Agricultural’ and ‘Commercial’. Differences between systems are primarily influenced by donkey purpose, environmental (agro-ecological) factors, and husbandry practices. Constraints associated with donkey ownership varied across clusters: households in the commercial system reported higher incidence of injuries and welfare concerns, in the pastoral system the main constraints were drought and feed shortage, and domestic-agricultural households reported infectious diseases as the main challenge. This new classification of donkey systems provides a framework for analysing donkey health and welfare data, enabling more context-specific needs assessments and facilitating the design of targeted interventions to improve equid health and household livelihoods.
{"title":"Classification of donkey systems in Ethiopia","authors":"Girma Birhan Asteraye , Ruth Jobling , Wudu T. Jemberu , Gina Pinchbeck , Theodore J.D. Knight-Jones , Rob Critchlow , Jonathan Rushton , Gemma L. Chaters","doi":"10.1016/j.prevetmed.2025.106719","DOIUrl":"10.1016/j.prevetmed.2025.106719","url":null,"abstract":"<div><div>Working donkeys play a critical role in transportation, agriculture and household resilience in low- and middle-income countries. Other animals that are kept for production purposes, such as cattle, are often grouped into broad production system classes, such as dairy or pastoral, for comparison between and better understanding of the needs and outputs of animals within specific sectors. Despite the importance of working donkeys for sustaining livelihoods there are no systematic classifications of these populations. The aim of this study was to classify and characterise donkey systems in Ethiopia using household-level questionnaire data which included donkey ownership, husbandry, use and local environment data, through multiple factor and hierarchical cluster analysis. Household questionnaire data from 241 donkey-owning households in three districts of Ethiopia were used. Three distinct clusters of donkey ownership were identified: ‘Domestic-Pastoral’; ‘Domestic-Agricultural’ and ‘Commercial’. Differences between systems are primarily influenced by donkey purpose, environmental (agro-ecological) factors, and husbandry practices. Constraints associated with donkey ownership varied across clusters: households in the commercial system reported higher incidence of injuries and welfare concerns, in the pastoral system the main constraints were drought and feed shortage, and domestic-agricultural households reported infectious diseases as the main challenge. This new classification of donkey systems provides a framework for analysing donkey health and welfare data, enabling more context-specific needs assessments and facilitating the design of targeted interventions to improve equid health and household livelihoods.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106719"},"PeriodicalIF":2.4,"publicationDate":"2025-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145313475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-11DOI: 10.1016/j.prevetmed.2025.106720
Kate Dion , Daniel Linhares , Gustavo S. Silva , Edison Magalhães , Derald Holtkamp
PRRSV and SeCoV can significantly decrease the productivity of growing pigs by increasing mortality rates and decreasing growth, resulting in economic losses for swine producers. A better understanding of how infection patterns of these viral pathogens occur in growing pigs and their impact on productivity measures would help drive improved preventative and control measures for these pathogens. This study was conducted with the objectives to: (1) describe patterns of infection dynamics of PRRSV and swine enteric coronaviruses, (2) determine the impact of introductions and timing of introductions of PRRSV and SeCoV on wean-to-market mortality, average daily gain, and feed conversion, and (3) compare the economic performance of groups of growing pigs with different timing of introductions and pathogen combinations of PRRSV and SeCoV. The pathogen status and timing of the introduction of PEDV, PDCoV, and PRRSV for 75 groups of pigs that originated from negative sow farms were determined by collecting eight oral fluid samples every two weeks per group of pigs and tested by RT-PCR. The timing of introduction for those pathogens was categorized as nursery (3–10 weeks of age), early finisher (11–21 weeks of age), and late finisher (22–33 weeks of age.) Regression analyses were used to compare mortality, average daily gain (ADG), and feed conversion (FC) between pathogen combinations and time of pathogen introductions. A production and economic model was used to determine differences in net profit per pig placed using least squares means of productivity differences from the regression analysis. Wild-type PRRSV was detected in 96 % of the groups of growing pigs, and 37 % became positive for SeCoV. Groups of pigs with multiple pathogens had significantly increased mortality compared to groups with single pathogen introductions. PRRSV introduction in the nursery or early finisher phase or SeCoV introduction in the nursery phase resulted in significantly higher mortality than later introductions, and nursery introductions of SeCoV impacted ADG and FC. Compared to negative groups, the net profit of groups with pathogen introductions was decreased due to increased mortality and reduced ADG and FC, with the most significant differences resulting from pigs with a nursery introduction of SeCoV. Overall, this study assessed the impact of multiple pathogen introductions and pathogen introduction timing on productivity measures and suggests the importance of implementing biosecurity control measures to prevent or delay introductions of multiple pathogens in growing pig populations to minimize their impact on wean-to-market productivity.
{"title":"The impact of the timing of PRRSV and swine enteric coronaviruses introduction on wean-to-market productivity","authors":"Kate Dion , Daniel Linhares , Gustavo S. Silva , Edison Magalhães , Derald Holtkamp","doi":"10.1016/j.prevetmed.2025.106720","DOIUrl":"10.1016/j.prevetmed.2025.106720","url":null,"abstract":"<div><div>PRRSV and SeCoV can significantly decrease the productivity of growing pigs by increasing mortality rates and decreasing growth, resulting in economic losses for swine producers. A better understanding of how infection patterns of these viral pathogens occur in growing pigs and their impact on productivity measures would help drive improved preventative and control measures for these pathogens. This study was conducted with the objectives to: (1) describe patterns of infection dynamics of PRRSV and swine enteric coronaviruses, (2) determine the impact of introductions and timing of introductions of PRRSV and SeCoV on wean-to-market mortality, average daily gain, and feed conversion, and (3) compare the economic performance of groups of growing pigs with different timing of introductions and pathogen combinations of PRRSV and SeCoV. The pathogen status and timing of the introduction of PEDV, PDCoV, and PRRSV for 75 groups of pigs that originated from negative sow farms were determined by collecting eight oral fluid samples every two weeks per group of pigs and tested by RT-PCR. The timing of introduction for those pathogens was categorized as nursery (3–10 weeks of age), early finisher (11–21 weeks of age), and late finisher (22–33 weeks of age.) Regression analyses were used to compare mortality, average daily gain (ADG), and feed conversion (FC) between pathogen combinations and time of pathogen introductions. A production and economic model was used to determine differences in net profit per pig placed using least squares means of productivity differences from the regression analysis. Wild-type PRRSV was detected in 96 % of the groups of growing pigs, and 37 % became positive for SeCoV. Groups of pigs with multiple pathogens had significantly increased mortality compared to groups with single pathogen introductions. PRRSV introduction in the nursery or early finisher phase or SeCoV introduction in the nursery phase resulted in significantly higher mortality than later introductions, and nursery introductions of SeCoV impacted ADG and FC. Compared to negative groups, the net profit of groups with pathogen introductions was decreased due to increased mortality and reduced ADG and FC, with the most significant differences resulting from pigs with a nursery introduction of SeCoV. Overall, this study assessed the impact of multiple pathogen introductions and pathogen introduction timing on productivity measures and suggests the importance of implementing biosecurity control measures to prevent or delay introductions of multiple pathogens in growing pig populations to minimize their impact on wean-to-market productivity.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106720"},"PeriodicalIF":2.4,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145302860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-11DOI: 10.1016/j.prevetmed.2025.106716
Juan Carlos Ramos-Martínez , Iván Ramos-Martínez , Manuel Saavedra-Montañez , Mayra Alejandra Martínez-González , Sarai Santos-Paniagua , Mayte Martínez-Aguirre , Luis Alberto Hernández Osorio , Ricardo Balam-Narváez , Héctor Alejandro Cabrera Fuentes , Sheila Irais Peña-Corona , Iván Sánchez-Betancourt , Edgar Gustavo Ramos-Martínez
This study aimed to estimate the prevalence and seroprevalence of influenza A virus in dogs and cats though a systematic review and meta-analysis was performed following PRISMA guidelines. A total of 79 studies in dogs and 34 in cats were included, encompassing 35,895 dogs and 2882 cats. Subgroup and meta-regression analyses were conducted. The pooled prevalence was 12.04 % (95 % CI: 3.96 – 23.28) in dogs and 1.73 % (95 % CI: 0.00 – 7.10) in cats, while seroprevalence was 12.07 % (95 % CI: 4.4 – 22.49) in dogs and 7.39 % (95 % CI: 3.17 – 13.12) in cats. Significant geographic differences were observed, with higher prevalence in the Americas and Asia compared to Europe. Additionally, prevalence in dogs was higher during spring-summer than in autumn-winter. Meta-regression analysis did not reveal significant associations between prevalence and factors such as symptoms presence, ownership status, or geographic region. However, the high heterogeneity among studies suggests that unaccounted variables, such as detection methods, may contribute to results variability. These findings underscore the epidemiological relevance of canine and feline influenza and highlight the need for ongoing surveillance to monitor geographic and temporal trends.
{"title":"Global seroprevalence and prevalence of infection of influenza in dogs and cats: A systematic review and meta-analysis","authors":"Juan Carlos Ramos-Martínez , Iván Ramos-Martínez , Manuel Saavedra-Montañez , Mayra Alejandra Martínez-González , Sarai Santos-Paniagua , Mayte Martínez-Aguirre , Luis Alberto Hernández Osorio , Ricardo Balam-Narváez , Héctor Alejandro Cabrera Fuentes , Sheila Irais Peña-Corona , Iván Sánchez-Betancourt , Edgar Gustavo Ramos-Martínez","doi":"10.1016/j.prevetmed.2025.106716","DOIUrl":"10.1016/j.prevetmed.2025.106716","url":null,"abstract":"<div><div>This study aimed to estimate the prevalence and seroprevalence of influenza A virus in dogs and cats though a systematic review and meta-analysis was performed following PRISMA guidelines. A total of 79 studies in dogs and 34 in cats were included, encompassing 35,895 dogs and 2882 cats. Subgroup and meta-regression analyses were conducted. The pooled prevalence was <strong>12.04 % (95 % CI: 3.96 – 23.28)</strong> in dogs and <strong>1.73 % (95 % CI: 0.00 – 7.10)</strong> in cats, while seroprevalence was <strong>12.07 % (95 % CI: 4.4 – 22.49)</strong> in dogs and <strong>7.39 % (95 % CI: 3.17 – 13.12)</strong> in cats. Significant geographic differences were observed, with higher prevalence in the Americas and Asia compared to Europe. Additionally, prevalence in dogs was higher during spring-summer than in autumn-winter. Meta-regression analysis did not reveal significant associations between prevalence and factors such as symptoms presence, ownership status, or geographic region. However, the high heterogeneity among studies suggests that unaccounted variables, such as detection methods, may contribute to results variability. These findings underscore the epidemiological relevance of canine and feline influenza and highlight the need for ongoing surveillance to monitor geographic and temporal trends.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106716"},"PeriodicalIF":2.4,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145302807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-10DOI: 10.1016/j.prevetmed.2025.106717
Yifan Song , Lore D’Anvers , Martin Julius Gote , Katleen Geerinckx , Sofie Piepers , Sarne De Vliegher , Ines Adriaens , Ben Aernouts
Assessing clinical mastitis (CM) severity plays a crucial role in mastitis control. The current method for assessing CM severity mainly considers clinical symptoms while a comprehensive approach is lacking. This study aims to explore CM severity in different dimensions. We collected data on 129 CM cases detected by automatic milking system (AMS) and confirmed by herdsman from three farms in Belgium (n = 2) and the Netherlands (n = 1). The CM severity was assessed in four dimensions: production (maximum relative milk loss for the inflamed and uninflamed quarters separately), somatic cell count (deviation from cow-level baseline), clinical (mild, moderate, severe clinical symptoms), and pathogen (cultures from the inflamed quarter). We explored the relations between these dimensions and examined the impact of farm, parity, and lactation stage (LS). Our findings revealed that severity dimensions were positively correlated, with correlations from 0.30 to 0.50. The strongest correlation between dimensions occurred between the production dimension in inflamed and uninflamed quarters. Severity in the somatic cell count dimension exhibited the stronger correlation with production severity for uninflamed quarters and pathogen severity compared to other dimensions, and the clinical dimension showed the strongest association with the production dimension for uninflamed quarters. Additionally, farm, parity, and LS were found to influence both the severity within certain dimensions and the interrelationships among them. These results suggest that, although CM severity scores across the four dimensions are positively correlated, clear variations exist. Combining the four scores could help to capture the full scope of CM by simultaneously assessing the severity of cases across these dimensions. Despite potential detection bias in the CM cases, our findings provide an opportunity to develop a novel CM severity scoring system that could optimize treatment decisions and promote sustainability of the dairy sector.
{"title":"Evaluating clinical mastitis in four dimensions: Definition and correlation analysis of the production, somatic cell count, clinical and pathogen severity","authors":"Yifan Song , Lore D’Anvers , Martin Julius Gote , Katleen Geerinckx , Sofie Piepers , Sarne De Vliegher , Ines Adriaens , Ben Aernouts","doi":"10.1016/j.prevetmed.2025.106717","DOIUrl":"10.1016/j.prevetmed.2025.106717","url":null,"abstract":"<div><div>Assessing clinical mastitis (CM) severity plays a crucial role in mastitis control. The current method for assessing CM severity mainly considers clinical symptoms while a comprehensive approach is lacking. This study aims to explore CM severity in different dimensions. We collected data on 129 CM cases detected by automatic milking system (AMS) and confirmed by herdsman from three farms in Belgium (n = 2) and the Netherlands (n = 1). The CM severity was assessed in four dimensions: production (maximum relative milk loss for the inflamed and uninflamed quarters separately), somatic cell count (deviation from cow-level baseline), clinical (mild, moderate, severe clinical symptoms), and pathogen (cultures from the inflamed quarter). We explored the relations between these dimensions and examined the impact of farm, parity, and lactation stage (LS). Our findings revealed that severity dimensions were positively correlated, with correlations from 0.30 to 0.50. The strongest correlation between dimensions occurred between the production dimension in inflamed and uninflamed quarters. Severity in the somatic cell count dimension exhibited the stronger correlation with production severity for uninflamed quarters and pathogen severity compared to other dimensions, and the clinical dimension showed the strongest association with the production dimension for uninflamed quarters. Additionally, farm, parity, and LS were found to influence both the severity within certain dimensions and the interrelationships among them. These results suggest that, although CM severity scores across the four dimensions are positively correlated, clear variations exist. Combining the four scores could help to capture the full scope of CM by simultaneously assessing the severity of cases across these dimensions. Despite potential detection bias in the CM cases, our findings provide an opportunity to develop a novel CM severity scoring system that could optimize treatment decisions and promote sustainability of the dairy sector.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"246 ","pages":"Article 106717"},"PeriodicalIF":2.4,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145302764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}