Pub Date : 2026-02-01Epub Date: 2025-11-24DOI: 10.1016/j.prevetmed.2025.106751
Ashenafi Kidanu , Balako Gumi , Mahlet Osman , Haregua Melak Selamsew , Jakob Zinsstag , Bezalem Tesfaye Araya , Girmay Medhin , Tesfu Kassa , Rea Tschopp
Background
Brucellosis is a neglected tropical zoonosis with substantial health and economic impact in developing countries. Despite its endemicity in Ethiopia, there is currently no surveillance or control in livestock. The study objective was to assess the effect of animal segregation and elimination as a brucellosis control strategy in small ruminants in the pastoral Afar region of Ethiopia.
Methods
The study was conducted over 2 years. All small ruminants, older than 5 months originally in the herd and those subsequently entering the herd were ear tagged with unique ID numbers. All animals were tested for brucellosis every six months using Rose Bengal Testing and ELISA for confirmation. Purchased animals and animals that had aborted were segregated and tested before joining the herd. Sero-positive animals were eliminated and owners compensated. A herd-book was kept for all animals and households visited each week. A mathematical transmission model was developed to assess the change of prevalence under different intervention scenarios.
Results
Cumulatively, 15,489 small ruminant samples were tested for brucellosis, of which 889 reactors were eliminated. Brucellosis prevalence declined from 12 % to 1 % over the study period and no more animal abortions were recorded by the end of the study. The mathematical model showed that the removal of positive reactors in that specific context clearly decreases the sero-prevalence and eventually leads to the elimination of brucellosis.
Conclusion
Segregation and test-and-slaughter strategy can effectively reduce brucellosis prevalence in animals, thus alleviating the disease burden on the public health sector. A strong inter-disciplinary and trans-disciplinary approach is required taking into account epidemiological context and pastoralist culture.
{"title":"Brucellosis prevention and control in small ruminants using a test and slaughter strategy in the pastoral Afar Region of Ethiopia: A pilot study","authors":"Ashenafi Kidanu , Balako Gumi , Mahlet Osman , Haregua Melak Selamsew , Jakob Zinsstag , Bezalem Tesfaye Araya , Girmay Medhin , Tesfu Kassa , Rea Tschopp","doi":"10.1016/j.prevetmed.2025.106751","DOIUrl":"10.1016/j.prevetmed.2025.106751","url":null,"abstract":"<div><h3>Background</h3><div>Brucellosis is a neglected tropical zoonosis with substantial health and economic impact in developing countries. Despite its endemicity in Ethiopia, there is currently no surveillance or control in livestock. The study objective was to assess the effect of animal segregation and elimination as a brucellosis control strategy in small ruminants in the pastoral Afar region of Ethiopia.</div></div><div><h3>Methods</h3><div>The study was conducted over 2 years. All small ruminants, older than 5 months originally in the herd and those subsequently entering the herd were ear tagged with unique ID numbers. All animals were tested for brucellosis every six months using Rose Bengal Testing and ELISA for confirmation. Purchased animals and animals that had aborted were segregated and tested before joining the herd. Sero-positive animals were eliminated and owners compensated. A herd-book was kept for all animals and households visited each week. A mathematical transmission model was developed to assess the change of prevalence under different intervention scenarios.</div></div><div><h3>Results</h3><div>Cumulatively, 15,489 small ruminant samples were tested for brucellosis, of which 889 reactors were eliminated. Brucellosis prevalence declined from 12 % to 1 % over the study period and no more animal abortions were recorded by the end of the study. The mathematical model showed that the removal of positive reactors in that specific context clearly decreases the sero-prevalence and eventually leads to the elimination of brucellosis.</div></div><div><h3>Conclusion</h3><div>Segregation and test-and-slaughter strategy can effectively reduce brucellosis prevalence in animals, thus alleviating the disease burden on the public health sector. A strong inter-disciplinary and trans-disciplinary approach is required taking into account epidemiological context and pastoralist culture.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106751"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145621613","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 : 2026-02-01Epub Date: 2025-11-15DOI: 10.1016/j.prevetmed.2025.106749
Heather Grieve , Tasha Epp , Amy L. Greer , J. Scott Weese , Lauren E. Grant
Monitoring of companion animal zoonotic diseases in Canada is limited by the lack of a comprehensive companion animal health surveillance system, capable of integrating environmental and public health data. To guide the development of a suitable surveillance framework, we conducted an environmental scan of companion animal heath surveillance systems globally. Using academic and grey literature database searches, supplemented with targeted internet searching, we identified 12,718 unique sources. After screening, 257 sources were deemed eligible for inclusion. These sources identified 119 national or regional surveillance and control programs (which were not further characterized) and 33 companion animal health surveillance systems. We extracted information relating to surveillance scope, data source and collection methods, integration of environmental and public health data, and data dissemination methods. In total, 48.5 % (n = 16/33) of the systems relied on submission of data by veterinary professionals or others, whilst 42.4 % (n = 14) extracted data from electronic health records and veterinary diagnostic laboratory data. Surveillance scope included infectious diseases (n = 13), cause of death (n = 2), cancer (n = 1), and toxin exposure (n = 1). Some systems were not focused on specific health outcomes (n = 12). Only 9.1 % (n = 3) of systems integrated environmental or public health data at the point of data collection. However, other systems utilized environmental data during the analysis phase (27.3 %, n = 9). Surveillance systems largely disseminated surveillance outputs through reports (30.3 %, n = 10) and direct feedback to contributors (27.3 %, n = 9). By conducting this environmental scan, we provide a summary of global companion animal health surveillance efforts. Notably, there are few examples of fully integrated companion animal health surveillance systems using a One Health approach.
{"title":"Companion animal health surveillance systems: An environmental scan","authors":"Heather Grieve , Tasha Epp , Amy L. Greer , J. Scott Weese , Lauren E. Grant","doi":"10.1016/j.prevetmed.2025.106749","DOIUrl":"10.1016/j.prevetmed.2025.106749","url":null,"abstract":"<div><div>Monitoring of companion animal zoonotic diseases in Canada is limited by the lack of a comprehensive companion animal health surveillance system, capable of integrating environmental and public health data. To guide the development of a suitable surveillance framework, we conducted an environmental scan of companion animal heath surveillance systems globally. Using academic and grey literature database searches, supplemented with targeted internet searching, we identified 12,718 unique sources. After screening, 257 sources were deemed eligible for inclusion. These sources identified 119 national or regional surveillance and control programs (which were not further characterized) and 33 companion animal health surveillance systems. We extracted information relating to surveillance scope, data source and collection methods, integration of environmental and public health data, and data dissemination methods. In total, 48.5 % (n = 16/33) of the systems relied on submission of data by veterinary professionals or others, whilst 42.4 % (n = 14) extracted data from electronic health records and veterinary diagnostic laboratory data. Surveillance scope included infectious diseases (n = 13), cause of death (n = 2), cancer (n = 1), and toxin exposure (n = 1). Some systems were not focused on specific health outcomes (n = 12). Only 9.1 % (n = 3) of systems integrated environmental or public health data at the point of data collection. However, other systems utilized environmental data during the analysis phase (27.3 %, n = 9). Surveillance systems largely disseminated surveillance outputs through reports (30.3 %, n = 10) and direct feedback to contributors (27.3 %, n = 9). By conducting this environmental scan, we provide a summary of global companion animal health surveillance efforts. Notably, there are few examples of fully integrated companion animal health surveillance systems using a One Health approach.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106749"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145574177","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 : 2026-02-01Epub Date: 2025-11-27DOI: 10.1016/j.prevetmed.2025.106757
Trang Thi Huyen Le , Vivian Hoffmann , Kate Ambler , Mike Murphy , Sinh Dang-Xuan , Johanna F. Lindahl , Elisabeth Rajala , Steven Lâm , Sofia Boqvist , Fred Unger , Hung Nguyen-Viet
Foodborne diseases are a major cause of illness in low- and middle-income countries, and most are due to fresh foods sold in traditional markets. Contamination with foodborne pathogens, especially Salmonella spp., continues to be common in these markets. To better understand why this is the case, this study assessed total bacteria count (TBC) and Salmonella in pork across Vietnamese traditional markets and evaluated vendors’ food safety knowledge, attitudes, and practices, examining their associations with contamination. Data was collected in 68 markets across five provinces, with up to 10 pork vendors per market randomly selected. Microbiological data were collected through cut pork samples and cutting boards swabs (n = 396), along with structured questionnaires and observations with vendors (n = 486). Cutting board swabs were analyzed for TBC only, while cut pork was tested for both TBC and Salmonella. Linear and generalized linear mixed-effects models were constructed to identify risk factors for TBC and Salmonella prevalence. The overall Salmonella prevalence in cut pork was 64.4 % (255/396) and was significantly higher in southern provinces (86.8 %) compared to the north (47.5 %, p < 0.01). TBC was high in pork and cutting boards (6.4 log10CFU/g and 6.9 log10CFU/cm2, respectively), and only 30 % of the pork samples met the Vietnamese standard for TBC in fresh meat. Selling of organs was associated with a higher TBC (coefficient = 0.13, CI: 0.01–0.26, p = 0.03) and greater Salmonella risk (OR = 2.04, p = 0.009). Temperature significantly increased both outcomes (p < 0.001), while using easy-to-clean surfaces reduced TBC levels (coefficient = −0.16, CI: −0.30 to −0.01, p = 0.03). Vendors demonstrated limited food safety knowledge and mixed attitudes. Observations revealed poor hygienic practices, such as displaying pork on cardboard or cloth or lack of washing with soap and disinfectants, which was influenced by limited access to facilities and equipment. Regional differences suggested contamination levels were influenced by both environmental and market-related factors. These findings highlight the need for holistic interventions targeting an enabling environment, appropriate equipment, and behavioral incentives.
{"title":"Pork safety across Vietnam's traditional markets: Microbial contamination and vendor knowledge, attitudes, and practices","authors":"Trang Thi Huyen Le , Vivian Hoffmann , Kate Ambler , Mike Murphy , Sinh Dang-Xuan , Johanna F. Lindahl , Elisabeth Rajala , Steven Lâm , Sofia Boqvist , Fred Unger , Hung Nguyen-Viet","doi":"10.1016/j.prevetmed.2025.106757","DOIUrl":"10.1016/j.prevetmed.2025.106757","url":null,"abstract":"<div><div>Foodborne diseases are a major cause of illness in low- and middle-income countries, and most are due to fresh foods sold in traditional markets. Contamination with foodborne pathogens, especially <em>Salmonella</em> spp<em>.,</em> continues to be common in these markets. To better understand why this is the case, this study assessed total bacteria count (TBC) and <em>Salmonella</em> in pork across Vietnamese traditional markets and evaluated vendors’ food safety knowledge, attitudes, and practices, examining their associations with contamination. Data was collected in 68 markets across five provinces, with up to 10 pork vendors per market randomly selected. Microbiological data were collected through cut pork samples and cutting boards swabs (n = 396), along with structured questionnaires and observations with vendors (n = 486). Cutting board swabs were analyzed for TBC only, while cut pork was tested for both TBC and <em>Salmonella</em>. Linear and generalized linear mixed-effects models were constructed to identify risk factors for TBC and <em>Salmonella</em> prevalence. The overall <em>Salmonella</em> prevalence in cut pork was 64.4 % (255/396) and was significantly higher in southern provinces (86.8 %) compared to the north (47.5 %, <em>p</em> < 0.01). TBC was high in pork and cutting boards (6.4 log<sub>10</sub>CFU/g and 6.9 log<sub>10</sub>CFU/cm<sup>2</sup>, respectively), and only 30 % of the pork samples met the Vietnamese standard for TBC in fresh meat. Selling of organs was associated with a higher TBC (coefficient = 0.13, CI: 0.01–0.26, <em>p</em> = 0.03) and greater <em>Salmonella</em> risk (OR = 2.04, <em>p</em> = 0.009). Temperature significantly increased both outcomes (<em>p</em> < 0.001), while using easy-to-clean surfaces reduced TBC levels (coefficient = −0.16, CI: −0.30 to −0.01, <em>p</em> = 0.03). Vendors demonstrated limited food safety knowledge and mixed attitudes. Observations revealed poor hygienic practices, such as displaying pork on cardboard or cloth or lack of washing with soap and disinfectants, which was influenced by limited access to facilities and equipment. Regional differences suggested contamination levels were influenced by both environmental and market-related factors. These findings highlight the need for holistic interventions targeting an enabling environment, appropriate equipment, and behavioral incentives.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106757"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145678416","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 : 2026-02-01Epub Date: 2025-11-27DOI: 10.1016/j.prevetmed.2025.106756
Danni Anderson , Maganga Sambo , Ahmed Lugelo , Anna Czupryna , Joel Changalucha , Jonathan M. Read , Felix Lankester , Katie Hampson
Understanding domestic dog population dynamics is critical for rabies control, particularly in sub-Saharan Africa where domestic dogs are the primary virus reservoir. This study investigates demographic and environmental determinants of dog ownership in Tanzania’s Mara region, a rabies-endemic area with ecologically diverse landscapes. Using a cross-sectional household survey (n = 27,400 households), we employed mixed-effects models to assess predictors of dog ownership, dog counts, and Human-to-Dog Ratios (HDRs). Overall, 12,975 households (47 %) owned dogs, with a mean of 2.2 dogs per dog-owning household. Logistic regression revealed key predictors of ownership: urban households had reduced odds of dog ownership (OR = 0.311, CI: 0.132–0.734, while ownership likelihood increased with larger household size (adults: OR = 1.151, CI: 1.134–1.169; children: OR = 1.160, CI: 1.140–1.180), and crop (OR = 1.502, 95 % CI: 1.384–1.630), shrub (OR = 1.387, 95 % CI: 1.269–1.515), or tree land cover (OR = 1.708, 95 % CI: 1.260–2.314) compared to built areas. However, among dog-owning households, variables had minimal practical impact on dog counts with most households (85.6 %) owning 1–3 dogs regardless of household size, location, or land cover. Urban districts exhibited significantly higher HDRs (18.3:1 vs. rural 7.1:1), further influenced by land cover (tree: 5.1:1 vs. built: 8.7:1). These findings highlight a critical divergence: while contextual factors strongly predict dog ownership, they do not meaningfully influence the number of dogs owned. Consequently, effective vaccination programmes require strategies tailored to local dog density and ownership patterns.
{"title":"Socioecological determinants of dog ownership in Mara region, Tanzania","authors":"Danni Anderson , Maganga Sambo , Ahmed Lugelo , Anna Czupryna , Joel Changalucha , Jonathan M. Read , Felix Lankester , Katie Hampson","doi":"10.1016/j.prevetmed.2025.106756","DOIUrl":"10.1016/j.prevetmed.2025.106756","url":null,"abstract":"<div><div>Understanding domestic dog population dynamics is critical for rabies control, particularly in sub-Saharan Africa where domestic dogs are the primary virus reservoir. This study investigates demographic and environmental determinants of dog ownership in Tanzania’s Mara region, a rabies-endemic area with ecologically diverse landscapes. Using a cross-sectional household survey (n = 27,400 households), we employed mixed-effects models to assess predictors of dog ownership, dog counts, and Human-to-Dog Ratios (HDRs). Overall, 12,975 households (47 %) owned dogs, with a mean of 2.2 dogs per dog-owning household. Logistic regression revealed key predictors of ownership: urban households had reduced odds of dog ownership (OR = 0.311, CI: 0.132–0.734, while ownership likelihood increased with larger household size (adults: OR = 1.151, CI: 1.134–1.169; children: OR = 1.160, CI: 1.140–1.180), and crop (OR = 1.502, 95 % CI: 1.384–1.630), shrub (OR = 1.387, 95 % CI: 1.269–1.515), or tree land cover (OR = 1.708, 95 % CI: 1.260–2.314) compared to built areas. However, among dog-owning households, variables had minimal practical impact on dog counts with most households (85.6 %) owning 1–3 dogs regardless of household size, location, or land cover. Urban districts exhibited significantly higher HDRs (18.3:1 vs. rural 7.1:1), further influenced by land cover (tree: 5.1:1 vs. built: 8.7:1). These findings highlight a critical divergence: while contextual factors strongly predict dog ownership, they do not meaningfully influence the number of dogs owned. Consequently, effective vaccination programmes require strategies tailored to local dog density and ownership patterns.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106756"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145678451","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 : 2026-02-01Epub Date: 2025-12-05DOI: 10.1016/j.prevetmed.2025.106760
Vahid Noaman , Saeid Esmaeilkhanian
Bovine anaplasmosis, caused by Anaplasma marginale, poses a significant threat to cattle health and productivity in Iran. This study investigated the molecular prevalence and associated risk factors of A. marginale across four climatic zones in Iran. A cross-sectional design with multi-stage stratified sampling was utilized. Blood samples from 1952 clinically healthy cattle were analyzed using nested-PCR targeting the msp4 gene. The overall prevalence was 23.2 % (95 % CI: 21.3–25.0), with considerable regional variation; it was highest in the Persian Gulf zone at 44 % and lowest in the Caspian zone at 10.5 %. Sub-desert regions exhibited the highest infection rates (44.2 %), while mountainous and plain areas showed lower prevalence (26.1 % and 20.6 %, respectively). Phylogenetic analysis of 16S rRNA sequences revealed distinct clustering of Iranian isolates, suggesting potential genetic divergence from global strains. Key risk factors identified through multivariable logistic regression included grazing practices (OR = 2.02, P = 0.029), inadequate barn sanitation (OR = 2.35, P = 0.002), infrequent ectoparasiticide application (OR = 2.92, P < 0.001), proximity to other farms (OR = 3.12, P = 0.001), and co-rearing with other livestock species (OR = 2.73, P = 0.036). Seasonal variation was notable, with higher infection rates during warm, dry periods (OR = 2.86, P < 0.001). Spatial analysis using SaTScan, configured to identify non-overlapping clusters, revealed four statistically significant clusters, including high-risk clusters in central (Semnan Province, RR=3.88) and southwestern (Khuzestan Province, RR=2.26) Iran, and a low-risk cluster in the Caspian zone (P < 0.001). These findings provide critical evidence for designing targeted surveillance and control programs. The identified high-risk clusters and modifiable risk factors, such as tick control, barn sanitation, and injection practices, offer a clear framework for veterinarians and farmers to prioritize interventions. For policymakers, this study underscores the necessity of region-specific strategies and farmer education campaigns to mitigate the economic and health impacts of bovine anaplasmosis in Iran.
由边缘性无形体引起的牛无形体病对伊朗牛的健康和生产力构成重大威胁。本研究调查了伊朗4个气候带边缘叶蝉(A. marginale)的分子流行率及其相关危险因素。采用多阶段分层抽样的横断面设计。采用针对msp4基因的巢式pcr对1952年临床健康牛的血液样本进行了分析。总患病率为23.2% %(95 % CI: 21.3-25.0),地区差异较大;波斯湾地区最高,为44. %,里海地区最低,为10. %。沙漠地区感染率最高(44.2% %),山地和平原地区感染率较低(分别为26.1% %和20.6% %)。16S rRNA序列的系统发育分析显示伊朗分离株具有明显的聚类性,提示与全球菌株存在潜在的遗传差异。通过多变量logistic回归确定的关键危险因素包括放牧习惯(OR = 2.02, P = 0.029)、牲口棚卫生条件不佳(OR = 2.35, P = 0.002)、不频繁使用除虫剂(OR = 2.92, P
{"title":"Toward controlling Anaplasma marginale in cattle: Molecular prevalence and risk factors across different climatic regions of Iran","authors":"Vahid Noaman , Saeid Esmaeilkhanian","doi":"10.1016/j.prevetmed.2025.106760","DOIUrl":"10.1016/j.prevetmed.2025.106760","url":null,"abstract":"<div><div>Bovine anaplasmosis, caused by <em>Anaplasma marginale</em>, poses a significant threat to cattle health and productivity in Iran. This study investigated the molecular prevalence and associated risk factors of <em>A. marginale</em> across four climatic zones in Iran. A cross-sectional design with multi-stage stratified sampling was utilized. Blood samples from 1952 clinically healthy cattle were analyzed using nested-PCR targeting the <em>msp4</em> gene. The overall prevalence was 23.2 % (95 % CI: 21.3–25.0), with considerable regional variation; it was highest in the Persian Gulf zone at 44 % and lowest in the Caspian zone at 10.5 %. Sub-desert regions exhibited the highest infection rates (44.2 %), while mountainous and plain areas showed lower prevalence (26.1 % and 20.6 %, respectively). Phylogenetic analysis of 16S rRNA sequences revealed distinct clustering of Iranian isolates, suggesting potential genetic divergence from global strains. Key risk factors identified through multivariable logistic regression included grazing practices (OR = 2.02, <em>P</em> = 0.029), inadequate barn sanitation (OR = 2.35, <em>P</em> = 0.002), infrequent ectoparasiticide application (OR = 2.92, <em>P</em> < 0.001), proximity to other farms (OR = 3.12, <em>P</em> = 0.001), and co-rearing with other livestock species (OR = 2.73, <em>P</em> = 0.036). Seasonal variation was notable, with higher infection rates during warm, dry periods (OR = 2.86, <em>P</em> < 0.001). Spatial analysis using SaTScan, configured to identify non-overlapping clusters, revealed four statistically significant clusters, including high-risk clusters in central (Semnan Province, RR=3.88) and southwestern (Khuzestan Province, RR=2.26) Iran, and a low-risk cluster in the Caspian zone (P < 0.001). These findings provide critical evidence for designing targeted surveillance and control programs. The identified high-risk clusters and modifiable risk factors, such as tick control, barn sanitation, and injection practices, offer a clear framework for veterinarians and farmers to prioritize interventions. For policymakers, this study underscores the necessity of region-specific strategies and farmer education campaigns to mitigate the economic and health impacts of bovine anaplasmosis in Iran.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106760"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145715358","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 : 2026-02-01Epub Date: 2025-11-12DOI: 10.1016/j.prevetmed.2025.106740
Jason A. Galvis , Aniruddha Deka , Gustavo Machado
Early detection of African swine fever virus (ASFV) is critical to preventing widespread epidemics. However, the effectiveness of within-farm sampling remains to be examined, particularly during the early phase of an outbreak when disease prevalence is low, animals may be asymptomatic, or clinical signs are masked by co-circulating diseases. This study assessed four sampling strategies for detecting ASFV-infected animals in suspected growing pig farms within the first 14 days of the introduction of either a high- or moderate-virulence ASFV strain. Pens were selected using three methods: random sampling, targeted sampling of pens with clinical animals, and informative sampling based on estimated pen infection probabilities. The informative sampling method was further divided into sequential method, which ranked pens by descending viral load probability, and cluster & random method, which selected pens at random from high and low viral load clusters. Each pen-selection method was examined with different sample sizes. We calculated the sensitivity of each approach as the probability of detecting at least one ASFV-positive pig per farm. Results showed that sampling 30 pens with one pig per pen using the target & random pen-selection method yielded the highest detection sensitivity, even in the presence of other co-circulating diseases that interfere with the accurate identification of clinical ASFV cases. In contrast, sampling five pens resulted in the lowest sensitivity. These findings provide valuable insights for improving ASFV surveillance strategies in the U.S. and can inform preparedness efforts for other foreign animal diseases.
{"title":"Evaluating sampling strategies for effective detection of African swine fever in growing pig population in the U.S.","authors":"Jason A. Galvis , Aniruddha Deka , Gustavo Machado","doi":"10.1016/j.prevetmed.2025.106740","DOIUrl":"10.1016/j.prevetmed.2025.106740","url":null,"abstract":"<div><div>Early detection of African swine fever virus (ASFV) is critical to preventing widespread epidemics. However, the effectiveness of within-farm sampling remains to be examined, particularly during the early phase of an outbreak when disease prevalence is low, animals may be asymptomatic, or clinical signs are masked by co-circulating diseases. This study assessed four sampling strategies for detecting ASFV-infected animals in suspected growing pig farms within the first 14 days of the introduction of either a high- or moderate-virulence ASFV strain. Pens were selected using three methods: random sampling, targeted sampling of pens with clinical animals, and informative sampling based on estimated pen infection probabilities. The informative sampling method was further divided into sequential method, which ranked pens by descending viral load probability, and cluster & random method, which selected pens at random from high and low viral load clusters. Each pen-selection method was examined with different sample sizes. We calculated the sensitivity of each approach as the probability of detecting at least one ASFV-positive pig per farm. Results showed that sampling 30 pens with one pig per pen using the target & random pen-selection method yielded the highest detection sensitivity, even in the presence of other co-circulating diseases that interfere with the accurate identification of clinical ASFV cases. In contrast, sampling five pens resulted in the lowest sensitivity. These findings provide valuable insights for improving ASFV surveillance strategies in the U.S. and can inform preparedness efforts for other foreign animal diseases.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106740"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145534740","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 : 2026-02-01Epub Date: 2025-11-14DOI: 10.1016/j.prevetmed.2025.106748
Xiao Lu, Christine Griebsch, Jacqueline M. Norris, Michael P. Ward
Canine leptospirosis is a re-emerging zoonotic disease that has been long neglected in New South Wales (NSW), Australia. Clinical canine leptospirosis cases in Shoalhaven, southeastern NSW from October 2021 to May 2023 were analysed to examine associations between environmental factors and the local occurrence of canine leptospirosis. Poisson models (log-transformed canine population offset and adjusted for the Index of Economic Resources) of spatial (landscape factors adjusted for economic status) and temporal environmental factors (lagged weekly climate variables) were fit to the data. During the 2022 Australian winter, a significant spatio-temporal cluster of canine leptospirosis was detected near lakes, overlapping with the areas heavily flooded in March 2022. In areas surrounding case residential addresses, the rate of canine leptospirosis was increased by the presence of nature conservation areas [Risk Ratio (RR) = 2.47, 95 % confidence interval (CI) 1.0 – 6.06, p = 0.047] and reduced by the presence of recreational areas within the relevant neighbourhood (RR = 0.13, 95 % CI 0.04 – 0.34, p < 0.001). The preceding extreme climate events (extreme heat and extreme precipitation) influenced the rate of canine leptospirosis in opposite ways, with extreme rainfall at lag −13, −10 and −9 weeks significantly increased rate. The re-emergence of canine leptospirosis in southern NSW was multifactorial, with hydrological events likely the main driving factor. Increased pet owner awareness during and following such events is advocated.
犬钩端螺旋体病是一种在澳大利亚新南威尔士州长期被忽视的重新出现的人畜共患疾病。分析了2021年10月至2023年5月新南威尔士州东南部Shoalhaven的临床钩端螺旋体病病例,以研究环境因素与当地钩端螺旋体病发生之间的关系。空间因子(景观因子)和时间环境因子(滞后周气候变量)的泊松模型(对数变换后的犬类种群偏移量,并根据经济资源指数进行调整)与数据拟合。在2022年澳大利亚冬季,在湖泊附近发现了一个显著的时空聚集性犬钩端螺旋体病,与2022年3月的严重洪水地区重叠。在病例居住地周围地区,自然保护区的存在增加了钩端螺旋体病的发病率[风险比(RR) = 2.47,95 %可信区间(CI) 1.0 - 6.06, p = 0.047],而相关社区内存在休闲区则降低了钩端螺旋体病的发病率(RR = 0.13, 95 % CI 0.04 - 0.34, p <; 0.001)。之前的极端气候事件(极端高温和极端降水)以相反的方式影响犬钩端螺旋体病的发病率,滞后- 13、- 10和- 9周的极端降雨显著增加了发病率。犬钩端螺旋体病在新南威尔士州南部的再次出现是多因素的,水文事件可能是主要的驱动因素。提倡在此类事件期间和之后提高宠物主人的意识。
{"title":"Canine leptospirosis and environmental risk factors in coastal New South Wales, Australia (2021 – 2023)","authors":"Xiao Lu, Christine Griebsch, Jacqueline M. Norris, Michael P. Ward","doi":"10.1016/j.prevetmed.2025.106748","DOIUrl":"10.1016/j.prevetmed.2025.106748","url":null,"abstract":"<div><div>Canine leptospirosis is a re-emerging zoonotic disease that has been long neglected in New South Wales (NSW), Australia. Clinical canine leptospirosis cases in Shoalhaven, southeastern NSW from October 2021 to May 2023 were analysed to examine associations between environmental factors and the local occurrence of canine leptospirosis. Poisson models (log-transformed canine population offset and adjusted for the Index of Economic Resources) of spatial (landscape factors adjusted for economic status) and temporal environmental factors (lagged weekly climate variables) were fit to the data. During the 2022 Australian winter, a significant spatio-temporal cluster of canine leptospirosis was detected near lakes, overlapping with the areas heavily flooded in March 2022. In areas surrounding case residential addresses, the rate of canine leptospirosis was increased by the presence of nature conservation areas [Risk Ratio (RR) = 2.47, 95 % confidence interval (CI) 1.0 – 6.06, p = 0.047] and reduced by the presence of recreational areas within the relevant neighbourhood (RR = 0.13, 95 % CI 0.04 – 0.34, p < 0.001). The preceding extreme climate events (extreme heat and extreme precipitation) influenced the rate of canine leptospirosis in opposite ways, with extreme rainfall at lag −13, −10 and −9 weeks significantly increased rate. The re-emergence of canine leptospirosis in southern NSW was multifactorial, with hydrological events likely the main driving factor. Increased pet owner awareness during and following such events is advocated.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106748"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578157","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 : 2026-02-01Epub Date: 2025-11-30DOI: 10.1016/j.prevetmed.2025.106759
N. Pomiés , M. Pastorini , N. Amaro , J. Barca , C. Fiol , G. Ruprechter , A. Mendoza
To evaluate the association between calcium (Ca) imbalance postpartum, animal-associated data, and prepartum management practices in Holstein dairy cows, we conducted a cross-sectional study based on a convenience sample of 122 dairy farms (204 primiparous and 661 multiparous cows) in Uruguay. Cows were blood sampled once between days 1 and 3 DIM after parturition for metabolite analysis. At the time of sampling, data were collected on management, housing, and feeding. To evaluate the association between Ca imbalance and animal-associated data (parity, body condition, high NEFA (non-esterified fatty acid; > 0.6 mmol/L), subclinical hypomagnesemia (Mg < 0.80 mmol/L), hypophosphatemia (P ≤ 1.4 mmol/L)), and prepartum management practices, we used multivariate logistic regression models using a serum Ca threshold of ≤ 2.00 mmol/L. Overall, 76.8 % of cows had Ca imbalance, 17 % of cows had hypophosphatemia and 31.8 % showed subclinical hypomagnesemia. The BCS (body condition score) was ≤ 2.75 in 34.4 % of cows, with 64.3 % scoring 3–3.5. Overall, 39.8 % of cows had elevated NEFA. Multiparous cows were more likely to develop Ca imbalance than primiparous cows (P < 0.05). Cows with subclinical hypomagnesemia and hypophosphatemia had higher odds for Ca imbalance. The odds were lower in summer than in autumn and winter, and higher in cows from farms without nutritional consulting service for close-up cows and without supplementation with anionic salts. Cows with prepartum access to shade were less likely to develop Ca imbalance. In conclusion, factors associated with Ca imbalance in postpartum dairy cows included other mineral imbalances, parity, inadequate prepartum nutritional management, and lack of comfort.
{"title":"Prepartum management factors associated with the development of calcium imbalance during the first days postpartum in grazing dairy cows in Uruguay.","authors":"N. Pomiés , M. Pastorini , N. Amaro , J. Barca , C. Fiol , G. Ruprechter , A. Mendoza","doi":"10.1016/j.prevetmed.2025.106759","DOIUrl":"10.1016/j.prevetmed.2025.106759","url":null,"abstract":"<div><div>To evaluate the association between calcium (Ca) imbalance postpartum, animal-associated data, and prepartum management practices in Holstein dairy cows, we conducted a cross-sectional study based on a convenience sample of 122 dairy farms (204 primiparous and 661 multiparous cows) in Uruguay. Cows were blood sampled once between days 1 and 3 DIM after parturition for metabolite analysis. At the time of sampling, data were collected on management, housing, and feeding. To evaluate the association between Ca imbalance and animal-associated data (parity, body condition, high NEFA (non-esterified fatty acid; > 0.6 mmol/L), subclinical hypomagnesemia (Mg < 0.80 mmol/L), hypophosphatemia (P ≤ 1.4 mmol/L)), and prepartum management practices, we used multivariate logistic regression models using a serum Ca threshold of ≤ 2.00 mmol/L. Overall, 76.8 % of cows had Ca imbalance, 17 % of cows had hypophosphatemia and 31.8 % showed subclinical hypomagnesemia. The BCS (body condition score) was ≤ 2.75 in 34.4 % of cows, with 64.3 % scoring 3–3.5. Overall, 39.8 % of cows had elevated NEFA. Multiparous cows were more likely to develop Ca imbalance than primiparous cows (P < 0.05). Cows with subclinical hypomagnesemia and hypophosphatemia had higher odds for Ca imbalance. The odds were lower in summer than in autumn and winter, and higher in cows from farms without nutritional consulting service for close-up cows and without supplementation with anionic salts. Cows with prepartum access to shade were less likely to develop Ca imbalance. In conclusion, factors associated with Ca imbalance in postpartum dairy cows included other mineral imbalances, parity, inadequate prepartum nutritional management, and lack of comfort.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106759"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145678388","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 : 2026-02-01Epub Date: 2025-11-26DOI: 10.1016/j.prevetmed.2025.106752
İsmail Kırbaş
Early and accurate monitoring of livestock health is critical for effective disease prevention, welfare assurance, and sustainable farm management. Labor-intensive and stressful livestock weighing methods remain a major bottleneck for effective herd health surveillance in large-scale operations. This study presents a data-driven Walk-Over Weighing System (WoWS) enhanced with Fast Fourier Transform (FFT) and machine learning (ML) algorithms to provide a non-invasive, automated solution for real-time weight estimation in cattle. Dynamic weight signals from 86 dairy cows were collected twice daily during routine milking using a walk-over-weighing (WoWS) platform at the Burdur MAKU farm. Raw force-time signals were pre-processed and transformed using FFT to reduce noise and extract spectral-domain features relevant for weight estimation. Six ML models, including Support Vector Regression (SVR), were evaluated for prediction performance. The SVR model yielded the highest accuracy (MAE: 2.3 kg, R²: 0.999). The system's functionality was further extended through integration with Internet of Things (IoT) frameworks for real-time data collection and anomaly detection. Heatmaps and time-aligned weight distributions validated the system’s robustness under dynamic field conditions. This FFT- and AI-enhanced WoWS offers a scalable and effective tool for herd-level health surveillance by enabling continuous monitoring, early detection of abnormal weight trends (e.g., weight loss due to disease onset or inadequate feeding), and remote decision-making. The proposed system supports One Health principles by reducing manual handling, minimizing animal stress, improving welfare, and lowering labor demands, thereby contributing to more sustainable and efficient livestock-farming practices. Future directions include expanding multi-sensor integration and epidemiological modeling for more comprehensive livestock health management.
{"title":"AI-based automated weight prediction in cattle for herd health surveillance","authors":"İsmail Kırbaş","doi":"10.1016/j.prevetmed.2025.106752","DOIUrl":"10.1016/j.prevetmed.2025.106752","url":null,"abstract":"<div><div>Early and accurate monitoring of livestock health is critical for effective disease prevention, welfare assurance, and sustainable farm management. Labor-intensive and stressful livestock weighing methods remain a major bottleneck for effective herd health surveillance in large-scale operations. This study presents a data-driven Walk-Over Weighing System (WoWS) enhanced with Fast Fourier Transform (FFT) and machine learning (ML) algorithms to provide a non-invasive, automated solution for real-time weight estimation in cattle. Dynamic weight signals from 86 dairy cows were collected twice daily during routine milking using a walk-over-weighing (WoWS) platform at the Burdur MAKU farm. Raw force-time signals were pre-processed and transformed using FFT to reduce noise and extract spectral-domain features relevant for weight estimation. Six ML models, including Support Vector Regression (SVR), were evaluated for prediction performance. The SVR model yielded the highest accuracy (MAE: 2.3 kg, R²: 0.999). The system's functionality was further extended through integration with Internet of Things (IoT) frameworks for real-time data collection and anomaly detection. Heatmaps and time-aligned weight distributions validated the system’s robustness under dynamic field conditions. This FFT- and AI-enhanced WoWS offers a scalable and effective tool for herd-level health surveillance by enabling continuous monitoring, early detection of abnormal weight trends (e.g., weight loss due to disease onset or inadequate feeding), and remote decision-making. The proposed system supports One Health principles by reducing manual handling, minimizing animal stress, improving welfare, and lowering labor demands, thereby contributing to more sustainable and efficient livestock-farming practices. Future directions include expanding multi-sensor integration and epidemiological modeling for more comprehensive livestock health management.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106752"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145649164","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 : 2026-02-01Epub Date: 2025-09-30DOI: 10.1016/j.prevetmed.2025.106702
Oksana Saccavini , François Charrier , Mattias Delpont , Jean-Pierre Vaillancourt , Mathilde C. Paul
Over the past decade, outbreaks of Highly Pathogenic Avian Influenza (HPAI) have significantly impacted the global poultry industry, resulting in the implementation of biosecurity regulations. Small-scale poultry farmers selling directly to consumers have faced difficulties in implementing these measures due to the specific features of their farms. We examined the social, technical and regulatory rules which drive the production of small-scale poultry farms selling directly to consumers, and then analyzed the barriers and opportunities for implementing biosecurity measures. This study analyzed qualitative data from 36 semi-structured interviews conducted in two French poultry production areas between January and October 2023. The interviews were recorded and transcribed, then thematically analyzed to identify recurring themes. Our results show that small-scale poultry farmers share strong values rooted in their autonomy over decision-making and traditional farming practices that are based on free-range livestock farming, high-value products, and local know-how. Despite widely diverse settings, farmers in this production sector demonstrate a strong sense of professional identity. Our results also show that recurrent HPAI epidemics and associated regulations have disrupted small-scale farming systems. Verbatims revealed tensions between biosecurity guidelines and several aspects of small-scale production, including farming practices (such as visitors’ access to farms), values (free-range farming), workload, and financial sustainability. To move beyond these biosecurity tensions, some initiatives have been developed, such as personalized training and advice for small-scale farmers. However, these solutions only reach a small proportion of producers. This suggest that biosecurity compliance on small-scale farms cannot be achieved without simultaneously addressing social, technical, and regulatory issues.
{"title":"“These measures make no sense for our farming system”: Biosecurity challenges and adaptations in French small-scale poultry farms selling directly to consumers","authors":"Oksana Saccavini , François Charrier , Mattias Delpont , Jean-Pierre Vaillancourt , Mathilde C. Paul","doi":"10.1016/j.prevetmed.2025.106702","DOIUrl":"10.1016/j.prevetmed.2025.106702","url":null,"abstract":"<div><div>Over the past decade, outbreaks of Highly Pathogenic Avian Influenza (HPAI) have significantly impacted the global poultry industry, resulting in the implementation of biosecurity regulations. Small-scale poultry farmers selling directly to consumers have faced difficulties in implementing these measures due to the specific features of their farms. We examined the social, technical and regulatory rules which drive the production of small-scale poultry farms selling directly to consumers, and then analyzed the barriers and opportunities for implementing biosecurity measures. This study analyzed qualitative data from 36 semi-structured interviews conducted in two French poultry production areas between January and October 2023. The interviews were recorded and transcribed, then thematically analyzed to identify recurring themes. Our results show that small-scale poultry farmers share strong values rooted in their autonomy over decision-making and traditional farming practices that are based on free-range livestock farming, high-value products, and local know-how. Despite widely diverse settings, farmers in this production sector demonstrate a strong sense of professional identity. Our results also show that recurrent HPAI epidemics and associated regulations have disrupted small-scale farming systems. Verbatims revealed tensions between biosecurity guidelines and several aspects of small-scale production, including farming practices (such as visitors’ access to farms), values (free-range farming), workload, and financial sustainability. To move beyond these biosecurity tensions, some initiatives have been developed, such as personalized training and advice for small-scale farmers. However, these solutions only reach a small proportion of producers. This suggest that biosecurity compliance on small-scale farms cannot be achieved without simultaneously addressing social, technical, and regulatory issues.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106702"},"PeriodicalIF":2.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145743992","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}