Pub Date : 2025-12-18DOI: 10.1016/j.onehlt.2025.101300
Md Helal Uddin , Shariful Islam , Pronesh Dutta , Monjurul Islam , Md. Kaisar Rahman , Muhammad Sazzad Hossain , Md Shahjalal Sagor , Md. Aftabuddin Rumi , Meerjady Sabrina Flora , Jade K. Forwood , Mohammed Abdus Samad , Jonathan H. Epstein , Sharmin Chowdhury , Ariful Islam
Antimicrobial resistant (AMR) bacteria are frequently detected in wildlife and are often considered an indicator of anthropogenic pathogen exposure to wildlife. However, the role of bats in AMR dissemination remains poorly understood. We conducted a cross-sectional study to investigate the prevalence and risk factors associated with AMR patterns in Staphylococcus spp. and Escherichia coli isolated from frugivorous bats in Bangladesh. We collected 369 noninvasive fecal samples from Pteropus medius and Rousettus leschenaultii individual bats. Bacterial isolation was performed using selective media, biochemical tests and performed polymerase chain reaction (PCR) for confirmation of Staphylococcus spp. and E. coli. Antimicrobial susceptibility testing for antimicrobials was conducted using the Kirby-Bauer disc diffusion technique. The prevalence of E. coli and Staphylococcus spp. was 29.8 % and 28.5 % respectively. Overall, 28.2 % of E. coli and 26.3 % of Staphylococcus spp. exhibited resistance to at least one antimicrobial. Logistic regression analysis revealed that resistant Staphylococcus spp. colonisation was significantly higher in rural areas (OR = 2.6) and in R. leschenaultii species (OR = 2.6), while resistant E. coli was higher in urban areas (OR = 2.0) and in P. medius bat (OR = 1.7). Staphylococcus spp. showed the highest resistance to ampicillin (56 %), followed by clindamycin (23 %). On the other hand, E. coli showed the highest resistance against cefepime (16 %) followed by ampicillin (13 %). While the source of AMR bacteria in bats remains unclear, bat drinking habits on the contaminated water bodies with people and domestic animals might be source of resistant bacteria to bats. Future One Health research is recommended to understand the ecology of AMR and role of bats in the transmission of resistant bacteria across ecosystems.
抗微生物药物耐药性(AMR)细菌经常在野生动物中检测到,通常被认为是人类病原体暴露于野生动物的指标。然而,蝙蝠在抗菌素耐药性传播中的作用仍然知之甚少。我们进行了一项横断面研究,以调查从孟加拉国食果蝙蝠中分离的葡萄球菌和大肠杆菌中与AMR模式相关的流行率和危险因素。我们收集了369份中翼蝠和leschenaultii蝙蝠的非侵入性粪便样本。采用选择性培养基、生化试验和聚合酶链反应(PCR)进行细菌分离,以确定葡萄球菌和大肠杆菌。采用Kirby-Bauer圆盘扩散技术进行抗菌药物的药敏试验。大肠杆菌和葡萄球菌感染率分别为29.8%和28.5%。总体而言,28.2%的大肠杆菌和26.3%的葡萄球菌对至少一种抗菌素具有耐药性。Logistic回归分析显示,农村地区(OR = 2.6)和leschenauli种(OR = 2.6)的耐药葡萄球菌定植量显著高于城市地区(OR = 2.0)和P. medium bat (OR = 1.7)的耐药大肠杆菌定植量显著高于城市地区(OR = 2.0)。葡萄球菌对氨苄西林的耐药性最高(56%),其次是克林霉素(23%)。另一方面,大肠杆菌对头孢吡肟的耐药性最高(16%),其次是氨苄西林(13%)。虽然蝙蝠AMR细菌的来源尚不清楚,但蝙蝠与人和家畜一起在受污染的水体上饮水的习惯可能是蝙蝠耐药细菌的来源。建议未来的One Health研究以了解抗菌素耐药性的生态学以及蝙蝠在跨生态系统传播耐药细菌中的作用。
{"title":"Prevalence and risk factors of antimicrobial resistance in Staphylococcus spp. and Escherichia coli in fruit bats at high-risk human-wildlife interfaces in Bangladesh","authors":"Md Helal Uddin , Shariful Islam , Pronesh Dutta , Monjurul Islam , Md. Kaisar Rahman , Muhammad Sazzad Hossain , Md Shahjalal Sagor , Md. Aftabuddin Rumi , Meerjady Sabrina Flora , Jade K. Forwood , Mohammed Abdus Samad , Jonathan H. Epstein , Sharmin Chowdhury , Ariful Islam","doi":"10.1016/j.onehlt.2025.101300","DOIUrl":"10.1016/j.onehlt.2025.101300","url":null,"abstract":"<div><div>Antimicrobial resistant (AMR) bacteria are frequently detected in wildlife and are often considered an indicator of anthropogenic pathogen exposure to wildlife. However, the role of bats in AMR dissemination remains poorly understood. We conducted a cross-sectional study to investigate the prevalence and risk factors associated with AMR patterns in <em>Staphylococcus</em> spp. and <em>Escherichia coli</em> isolated from frugivorous bats in Bangladesh. We collected 369 noninvasive fecal samples from <em>Pteropus medius</em> and <em>Rousettus leschenaultii</em> individual bats. Bacterial isolation was performed using selective media, biochemical tests and performed polymerase chain reaction (PCR) for confirmation of <em>Staphylococcus</em> spp. and <em>E. coli</em>. Antimicrobial susceptibility testing for antimicrobials was conducted using the Kirby-Bauer disc diffusion technique. The prevalence of <em>E. coli</em> and <em>Staphylococcus</em> spp. was 29.8 % and 28.5 % respectively. Overall, 28.2 % of <em>E. coli</em> and 26.3 % of <em>Staphylococcus</em> spp. exhibited resistance to at least one antimicrobial. Logistic regression analysis revealed that resistant <em>Staphylococcus</em> spp. colonisation was significantly higher in rural areas (OR = 2.6) and in <em>R. leschenaulti</em><em>i</em> species (OR = 2.6), while resistant <em>E. coli</em> was higher in urban areas (OR = 2.0) and in <em>P. medius</em> bat (OR = 1.7). <em>Staphylococcus</em> spp. showed the highest resistance to ampicillin (56 %), followed by clindamycin (23 %). On the other hand, <em>E. coli</em> showed the highest resistance against cefepime (16 %) followed by ampicillin (13 %). While the source of AMR bacteria in bats remains unclear, bat drinking habits on the contaminated water bodies with people and domestic animals might be source of resistant bacteria to bats. Future One Health research is recommended to understand the ecology of AMR and role of bats in the transmission of resistant bacteria across ecosystems.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101300"},"PeriodicalIF":4.5,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-15DOI: 10.1016/j.onehlt.2025.101299
Ningbo Liao , Shunxiong Lei , Chengwei Liu , Shengnan Tang , Silu Peng
Salmonella Typhimurium and its monophasic variants are major contributors to foodborne illnesses globally, with zoonotic transmission posing significant public health risks. In southern China, persistent salmonellosis cases linked to poultry and pork highlight the need for advanced genomic tools to trace contamination sources and understand transmission dynamics. This study integrates whole-genome sequencing (WGS) and spatiotemporal data to investigate the molecular epidemiology of Salmonella in Jiangxi Province, a region with high incidence of foodborne salmonellosis. Analysis of 206 Salmonella isolates (2015–2021) revealed dominant sequence types (ST34, ST19, ST155, and ST469) associated with human clinical cases and food sources. High-resolution single nucleotide polymorphism (SNP) phylogenetic analysis revealed well-supported, monophasic clades corresponding to the major sequence types. This analysis provided strong genomic evidence for zoonotic transmission, with human clinical isolates being genetically almost identical (≤5 SNPs) to isolates from poultry (ST34/ST19) and pork (ST155/ST469) sources. Clonal clusters of monophasic Typhimurium variants (77.9 % of ST34 isolates) exhibited widespread geographic distribution across 11 prefectures, and the high genetic similarity among isolates suggests potential cross-regional transmission through contaminated food supply chains. High antimicrobial resistance (AMR) rates were detected against ampicillin (68.0 %), tetracycline (61.0 %), and sulfamethoxazole-trimethoprim (54.0 %), with multidrug-resistant (MDR) strains (60.2 %) prevalent in clinical and food-derived isolates. ST34 exhibited the highest MDR prevalence (75.4 %), driven by the presence of Salmonella Genomic Island 1 (SGI1) in many isolates. The β-lactamase gene blaTEM-1 was most prevalent (60.7 %), followed by tet(A) (54.4 %), and sul2 (47.6 %). Point mutations in the quinolone resistance-determining region (QRDR), specifically in gyrA, were identified as the primary mechanism for ciprofloxacin resistance. Spatial clustering identified significant clusters in live poultry markets, slaughterhouses, and retail meat, emphasizing the role of foodborne zoonotic reservoirs. Findings advocate for strengthened One Health interventions, including enhanced AMR monitoring, targeted food safety regulations, and real-time WGS-based surveillance to mitigate zoonotic transmission risks in southern China.
{"title":"Genomic epidemiology of Salmonella Typhimurium and its monophasic variants in Southern China: A spatiotemporal and source attribution analysis","authors":"Ningbo Liao , Shunxiong Lei , Chengwei Liu , Shengnan Tang , Silu Peng","doi":"10.1016/j.onehlt.2025.101299","DOIUrl":"10.1016/j.onehlt.2025.101299","url":null,"abstract":"<div><div><em>Salmonella Typhimurium</em> and its monophasic variants are major contributors to foodborne illnesses globally, with zoonotic transmission posing significant public health risks. In southern China, persistent salmonellosis cases linked to poultry and pork highlight the need for advanced genomic tools to trace contamination sources and understand transmission dynamics. This study integrates whole-genome sequencing (WGS) and spatiotemporal data to investigate the molecular epidemiology of Salmonella in Jiangxi Province, a region with high incidence of foodborne salmonellosis. Analysis of 206 Salmonella isolates (2015–2021) revealed dominant sequence types (ST34, ST19, ST155, and ST469) associated with human clinical cases and food sources. High-resolution single nucleotide polymorphism (SNP) phylogenetic analysis revealed well-supported, monophasic clades corresponding to the major sequence types. This analysis provided strong genomic evidence for zoonotic transmission, with human clinical isolates being genetically almost identical (≤5 SNPs) to isolates from poultry (ST34/ST19) and pork (ST155/ST469) sources. Clonal clusters of monophasic Typhimurium variants (77.9 % of ST34 isolates) exhibited widespread geographic distribution across 11 prefectures, and the high genetic similarity among isolates suggests potential cross-regional transmission through contaminated food supply chains. High antimicrobial resistance (AMR) rates were detected against ampicillin (68.0 %), tetracycline (61.0 %), and sulfamethoxazole-trimethoprim (54.0 %), with multidrug-resistant (MDR) strains (60.2 %) prevalent in clinical and food-derived isolates. ST34 exhibited the highest MDR prevalence (75.4 %), driven by the presence of Salmonella Genomic Island 1 (SGI1) in many isolates. The β-lactamase gene blaTEM-1 was most prevalent (60.7 %), followed by tet(A) (54.4 %), and sul2 (47.6 %). Point mutations in the quinolone resistance-determining region (QRDR), specifically in gyrA, were identified as the primary mechanism for ciprofloxacin resistance. Spatial clustering identified significant clusters in live poultry markets, slaughterhouses, and retail meat, emphasizing the role of foodborne zoonotic reservoirs. Findings advocate for strengthened One Health interventions, including enhanced AMR monitoring, targeted food safety regulations, and real-time WGS-based surveillance to mitigate zoonotic transmission risks in southern China.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101299"},"PeriodicalIF":4.5,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-15DOI: 10.1016/j.onehlt.2025.101302
Hao Wang , Marianela Patzi-Churqui , Linn Dahlsten Andius , Kristina Nyström , Martin Lagging
Zoonotic hepatitis E has been a growing public health concern in Europe, but the transmission of its causative agent, hepatitis E virus (HEV), remains incompletely understood. Environmental surveillance, particularly through wastewater monitoring, has proven valuable for tracking viral circulation and variant shift during the COVID-19 pandemic, yet its application to HEV is still limited. In this review, we systematically analyzed HEV sequences across Europe, focusing on environmental sources from a genetic perspective. Of more than 13,100 HEV sequences deposited in the NCBI database, only 2.4 % (316/13,118) originated from environmental samples, including wastewater, surface water, and biosolids. Additional typing data from the literature revealed highly uneven geographic distribution, with 97 % of environmental sequences reported from Italy, France, the United Kingdom (UK), Spain, Sweden, and Germany. HEV-3 was the dominant genotype, while HEV-1 and HEV-4 were occasionally detected. Subtypes 3c and 3f were most common, but their prevalence varied across countries and sample types. Some countries, such as France, Sweden, and the UK, exhibited divergent subtype patterns between humans, animals, and environmental sources, whereas others, such as Spain and Germany, showed more consistent distributions. These findings highlight the importance of integrating clinical, veterinary, and environmental surveillance to better understand HEV transmission in Europe under a One Health framework. However, the scarcity of environmental data, technical challenges in sequencing, and lack of standardized protocols limit comprehensive assessment of HEV circulation. Expanding sequencing efforts, improving detection methods, and coordinating international surveillance frameworks will be critical to strengthen HEV monitoring and preparedness against emerging HEV threats.
{"title":"Genetic insights into hepatitis E virus through environmental surveillance in Europe","authors":"Hao Wang , Marianela Patzi-Churqui , Linn Dahlsten Andius , Kristina Nyström , Martin Lagging","doi":"10.1016/j.onehlt.2025.101302","DOIUrl":"10.1016/j.onehlt.2025.101302","url":null,"abstract":"<div><div>Zoonotic hepatitis E has been a growing public health concern in Europe, but the transmission of its causative agent, hepatitis E virus (HEV), remains incompletely understood. Environmental surveillance, particularly through wastewater monitoring, has proven valuable for tracking viral circulation and variant shift during the COVID-19 pandemic, yet its application to HEV is still limited. In this review, we systematically analyzed HEV sequences across Europe, focusing on environmental sources from a genetic perspective. Of more than 13,100 HEV sequences deposited in the NCBI database, only 2.4 % (316/13,118) originated from environmental samples, including wastewater, surface water, and biosolids. Additional typing data from the literature revealed highly uneven geographic distribution, with 97 % of environmental sequences reported from Italy, France, the United Kingdom (UK), Spain, Sweden, and Germany. HEV-3 was the dominant genotype, while HEV-1 and HEV-4 were occasionally detected. Subtypes 3c and 3f were most common, but their prevalence varied across countries and sample types. Some countries, such as France, Sweden, and the UK, exhibited divergent subtype patterns between humans, animals, and environmental sources, whereas others, such as Spain and Germany, showed more consistent distributions. These findings highlight the importance of integrating clinical, veterinary, and environmental surveillance to better understand HEV transmission in Europe under a One Health framework. However, the scarcity of environmental data, technical challenges in sequencing, and lack of standardized protocols limit comprehensive assessment of HEV circulation. Expanding sequencing efforts, improving detection methods, and coordinating international surveillance frameworks will be critical to strengthen HEV monitoring and preparedness against emerging HEV threats.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101302"},"PeriodicalIF":4.5,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-12DOI: 10.1016/j.onehlt.2025.101298
Robin B. Gasser
The sustainability of contemporary One Health research increasingly relies on the capacity of universities, research institutes and partner organisations to support collaborative teams. Such teams are indispensable because they integrate diverse expertise, address complex problems and respond rapidly to health crises such as COVID-19. One Health provides a compelling exemplar of collaborative research, uniting human, animal and environmental health to tackle global challenges and emerging infectious diseases. Yet the resilience of such teams is being tested by neoliberal reforms that have reshaped higher education into a competitive marketplace and by managerial practices that prioritise measurable outputs over collegiality, autonomy and disciplinary breadth. The pandemic exposed the fragility of this model: laboratories closed, workloads intensified and financial pressures triggered redundancies, even as collaboration proved essential to global health responses. This Opinion article examines how systemic pressures and interpersonal dynamics intersect to influence the functioning of research teams in a post-COVID environment. It highlights funding precarity, employment insecurity, inequities and political instability as persistent challenges, and explores how performance pressures and competition can affect collaboration. Sustaining research teams requires institutional reforms, inclusive leadership, recognition of diverse contributions and alignment with global frameworks such as the United Nations Sustainable Development Goals (SDGs), so that One Health research and other multidisciplinary endeavours addressing emerging and neglected diseases remain resilient, impactful and socially relevant.
{"title":"Collaboration under pressure: sustaining One Health research teams in a post-COVID environment","authors":"Robin B. Gasser","doi":"10.1016/j.onehlt.2025.101298","DOIUrl":"10.1016/j.onehlt.2025.101298","url":null,"abstract":"<div><div>The sustainability of contemporary One Health research increasingly relies on the capacity of universities, research institutes and partner organisations to support collaborative teams. Such teams are indispensable because they integrate diverse expertise, address complex problems and respond rapidly to health crises such as COVID-19. One Health provides a compelling exemplar of collaborative research, uniting human, animal and environmental health to tackle global challenges and emerging infectious diseases. Yet the resilience of such teams is being tested by neoliberal reforms that have reshaped higher education into a competitive marketplace and by managerial practices that prioritise measurable outputs over collegiality, autonomy and disciplinary breadth. The pandemic exposed the fragility of this model: laboratories closed, workloads intensified and financial pressures triggered redundancies, even as collaboration proved essential to global health responses. This Opinion article examines how systemic pressures and interpersonal dynamics intersect to influence the functioning of research teams in a post-COVID environment. It highlights funding precarity, employment insecurity, inequities and political instability as persistent challenges, and explores how performance pressures and competition can affect collaboration. Sustaining research teams requires institutional reforms, inclusive leadership, recognition of diverse contributions and alignment with global frameworks such as the United Nations Sustainable Development Goals (SDGs), so that One Health research and other multidisciplinary endeavours addressing emerging and neglected diseases remain resilient, impactful and socially relevant.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101298"},"PeriodicalIF":4.5,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-11DOI: 10.1016/j.onehlt.2025.101295
Guangju Mo , Xiyuan Huo , Meshack Kipkogei Biwott , Nan Chang , Haoqiang Ji , Lianfang Feng , Huaiping Zhu , Qiyong Liu
Background
Severe fever with thrombocytopenia syndrome (SFTS) is a climate-sensitive infectious disease, and its spatial distribution has been expanding in recent years. This study aimed to investigate the influence of meteorological factors on SFTS incidence.
Methods
Data on SFTS was extracted from the Infectious Disease Surveillance Report Management System from January 1, 2011 to December 31, 2023. A two-stage hierarchical analytical framework was employed in this study. First, a distributed lag nonlinear model was utilized to characterize the nonlinear exposure-response relationships between meteorological factors and the incidence of SFTS at the municipal level. Second, a multivariate meta-analysis was conducted to synthesize city-specific effect estimates, with explicit adjustment for inter-regional heterogeneity.
Results
From 2011 to 2023, 34 cities with cumulative cases ≥100 were included in the final analysis, which accounted for 94.59 % of the total SFTS cases during the same period in mainland China. The incidence risk of SFTS was positively correlated with temperature, relative humidity, precipitation, normalized difference vegetation index, and land cover, but negatively correlated with atmospheric pressure. The exposure-response relationship between average temperature and SFTS risk exhibited a single peak at 24.70 °C (RR = 2.78, 95 % CI: 1.14–6.79). Stratified analysis revealed the highest temperature-related risk in Eastern China at 27.50 °C (RR = 9.85, 95 % CI: 1.87–51.76), which was significantly elevated compared to central and northeastern regions. Regional variability was also observed for precipitation: the overall minimum risk occurred at 15.30 mm (RR = 0.49, 95 % CI: 0.24–0.98), whereas the risk nadir in Eastern China was at 16.02 mm monthly precipitation (RR = 0.29, 95 % CI: 0.10–0.80).
Conclusions
This study demonstrates that temperature and precipitation significantly influence SFTS incidence, with effects lagging consistently by 1–2 months. These findings can be integrated into China's Smart Multi-Point Surveillance System by incorporating region-specific meteorological thresholds to trigger early warnings. The system could then activate targeted interventions, such as tick control measures, accounting for the observed 1–2 month lag between climatic conditions and disease occurrence. Such climate-adaptive approaches would enhance the precision and timeliness of SFTS prevention and control efforts nationwide.
{"title":"The effect of meteorological factors on severe fever with thrombocytopenia syndrome: Evidence from 34 Chinese cities","authors":"Guangju Mo , Xiyuan Huo , Meshack Kipkogei Biwott , Nan Chang , Haoqiang Ji , Lianfang Feng , Huaiping Zhu , Qiyong Liu","doi":"10.1016/j.onehlt.2025.101295","DOIUrl":"10.1016/j.onehlt.2025.101295","url":null,"abstract":"<div><h3>Background</h3><div>Severe fever with thrombocytopenia syndrome (SFTS) is a climate-sensitive infectious disease, and its spatial distribution has been expanding in recent years. This study aimed to investigate the influence of meteorological factors on SFTS incidence.</div></div><div><h3>Methods</h3><div>Data on SFTS was extracted from the Infectious Disease Surveillance Report Management System from January 1, 2011 to December 31, 2023. A two-stage hierarchical analytical framework was employed in this study. First, a distributed lag nonlinear model was utilized to characterize the nonlinear exposure-response relationships between meteorological factors and the incidence of SFTS at the municipal level. Second, a multivariate meta-analysis was conducted to synthesize city-specific effect estimates, with explicit adjustment for inter-regional heterogeneity.</div></div><div><h3>Results</h3><div>From 2011 to 2023, 34 cities with cumulative cases ≥100 were included in the final analysis, which accounted for 94.59 % of the total SFTS cases during the same period in mainland China. The incidence risk of SFTS was positively correlated with temperature, relative humidity, precipitation, normalized difference vegetation index, and land cover, but negatively correlated with atmospheric pressure. The exposure-response relationship between average temperature and SFTS risk exhibited a single peak at 24.70 °C (<em>RR</em> = 2.78, 95 % <em>CI</em>: 1.14–6.79). Stratified analysis revealed the highest temperature-related risk in Eastern China at 27.50 °C (<em>RR</em> = 9.85, 95 % <em>CI</em>: 1.87–51.76), which was significantly elevated compared to central and northeastern regions. Regional variability was also observed for precipitation: the overall minimum risk occurred at 15.30 mm (<em>RR</em> = 0.49, <em>95 % CI</em>: 0.24–0.98), whereas the risk nadir in Eastern China was at 16.02 mm monthly precipitation (<em>RR</em> = 0.29, <em>95 % CI</em>: 0.10–0.80).</div></div><div><h3>Conclusions</h3><div>This study demonstrates that temperature and precipitation significantly influence SFTS incidence, with effects lagging consistently by 1–2 months. These findings can be integrated into China's Smart Multi-Point Surveillance System by incorporating region-specific meteorological thresholds to trigger early warnings. The system could then activate targeted interventions, such as tick control measures, accounting for the observed 1–2 month lag between climatic conditions and disease occurrence. Such climate-adaptive approaches would enhance the precision and timeliness of SFTS prevention and control efforts nationwide.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101295"},"PeriodicalIF":4.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-10DOI: 10.1016/j.onehlt.2025.101293
Valentin Adrian Kiss , Bram Vanden Broecke , Sofie De Bruyckere , An Martel , Wendt Müller
Urban wildlife populations often carry zoonotic pathogens that pose considerable public health risks through direct contact with humans. However, disease prevalence in urban settings is generally reported at the city level, which disregards spatial heterogeneity due to local differences in habitat structure or resource availability in the urban landscape. This study therefore examines the fine-scale spatial heterogeneity of Chlamydia psittaci, a generalist bacterium that frequently infects feral pigeons, in Antwerp, Belgium. We collected samples from 377 pigeons at 23 locations and performed qPCR screening for C. psittaci. At the same time, we performed an extensive literature review that includes 20 studies from 29 unique cities globally. Our findings indicate that the prevalence variance within Antwerp (CV = 0.70) is comparable to the variation reported among cities worldwide (CV = 0.88), suggesting that distinct locations within a single city can exhibit differences comparable to those between entirely different cities. Our data suggest that citywide or even countrywide are likely confounded by small scale spatial infection heterogeneity. A combination simulation showed that at least 12 unique sampling sites are necessary to accurately assess the true prevalence at the city level. Finally, we could show that also the screening method influences reported prevalence, with blood samples and non-PCR screening inflating reported prevalence rates. Taken together, we recommend that urban surveillance reports include at least 12 sampling sites, use standardized screening protocols and provide site-level data so that fine-scale heterogeneity can be taken into account.
{"title":"Hotspot or blind spot? Fine-scale spatial heterogeneity and methodological bias in Chlamydia psittaci prevalence rate reports from urban feral pigeons (Columba livia f. urbana)","authors":"Valentin Adrian Kiss , Bram Vanden Broecke , Sofie De Bruyckere , An Martel , Wendt Müller","doi":"10.1016/j.onehlt.2025.101293","DOIUrl":"10.1016/j.onehlt.2025.101293","url":null,"abstract":"<div><div>Urban wildlife populations often carry zoonotic pathogens that pose considerable public health risks through direct contact with humans. However, disease prevalence in urban settings is generally reported at the city level, which disregards spatial heterogeneity due to local differences in habitat structure or resource availability in the urban landscape. This study therefore examines the fine-scale spatial heterogeneity of <em>Chlamydia psittaci</em>, a generalist bacterium that frequently infects feral pigeons, in Antwerp, Belgium. We collected samples from 377 pigeons at 23 locations and performed qPCR screening for <em>C. psittaci</em>. At the same time, we performed an extensive literature review that includes 20 studies from 29 unique cities globally. Our findings indicate that the prevalence variance within Antwerp (CV = 0.70) is comparable to the variation reported among cities worldwide (CV = 0.88), suggesting that distinct locations within a single city can exhibit differences comparable to those between entirely different cities. Our data suggest that citywide or even countrywide are likely confounded by small scale spatial infection heterogeneity. A combination simulation showed that at least 12 unique sampling sites are necessary to accurately assess the true prevalence at the city level. Finally, we could show that also the screening method influences reported prevalence, with blood samples and non-PCR screening inflating reported prevalence rates. Taken together, we recommend that urban surveillance reports include at least 12 sampling sites, use standardized screening protocols and provide site-level data so that fine-scale heterogeneity can be taken into account.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101293"},"PeriodicalIF":4.5,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-10DOI: 10.1016/j.onehlt.2025.101294
Francisca Javiera Rudolph , Tan Minh Luong , Thai My Do , Van Binh Trinh , Ba Uyen Pham , Minh Dat Hoang , Anh Hung Pham , Van Truong Lu , Van Khang Pham , Thanh Long Pham , Quang Thai Pham , Thi Thu Ha Hoang , Thi Mai Hung Tran , Juan Pablo Gomez , José Miguel Ponciano , Jason K. Blackburn
A widespread and underreported zoonosis, anthrax is a severe infectious disease of significant public health concern for humans, livestock, and wildlife. In this study, we used historical data from 1991 to 2020 from northern Vietnam and a simulation model to investigate the effects of different vaccination strategies on livestock outbreaks. We developed a novel approach combining semi-synthetic data generation and a sliding windows model fitting routine to estimate disease transmission parameters from surveillance data and address the temporal mismatch between pathogen transmission dynamics and disease reporting. Results showed that vaccination leads to a significant reduction in buffalo mortality, with reactive and increasing vaccination campaigns having the largest impact in reducing outbreak size. Reactive and decreasing vaccination campaigns initially controlled outbreaks, but mortality increased as soon as vaccination ceased, highlighting the need for sustained, long-term vaccination. In scenarios where populations had high natural immunity, the impact of vaccination was less pronounced, though still evident, suggesting that prioritizing vaccination efforts for more susceptible populations may provide a greater return on investment in outbreak prevention and control. Simulation models can offer valuable insights into vaccination and control strategies, providing tools to compare and evaluate potential outbreak scenarios. Our findings underscore the value of mathematical and simulation approaches to overcome data challenges and underreporting in global disease management for anthrax and other neglected diseases. We highlight the importance of continued investment in surveillance and modeling efforts, while providing a practical approach to optimize the use of existing data in Vietnam and similar settings.
{"title":"Modeling the impact of anthrax vaccination on buffalo outbreak dynamics in northern Vietnam","authors":"Francisca Javiera Rudolph , Tan Minh Luong , Thai My Do , Van Binh Trinh , Ba Uyen Pham , Minh Dat Hoang , Anh Hung Pham , Van Truong Lu , Van Khang Pham , Thanh Long Pham , Quang Thai Pham , Thi Thu Ha Hoang , Thi Mai Hung Tran , Juan Pablo Gomez , José Miguel Ponciano , Jason K. Blackburn","doi":"10.1016/j.onehlt.2025.101294","DOIUrl":"10.1016/j.onehlt.2025.101294","url":null,"abstract":"<div><div>A widespread and underreported zoonosis, anthrax is a severe infectious disease of significant public health concern for humans, livestock, and wildlife. In this study, we used historical data from 1991 to 2020 from northern Vietnam and a simulation model to investigate the effects of different vaccination strategies on livestock outbreaks. We developed a novel approach combining semi-synthetic data generation and a sliding windows model fitting routine to estimate disease transmission parameters from surveillance data and address the temporal mismatch between pathogen transmission dynamics and disease reporting. Results showed that vaccination leads to a significant reduction in buffalo mortality, with reactive and increasing vaccination campaigns having the largest impact in reducing outbreak size. Reactive and decreasing vaccination campaigns initially controlled outbreaks, but mortality increased as soon as vaccination ceased, highlighting the need for sustained, long-term vaccination. In scenarios where populations had high natural immunity, the impact of vaccination was less pronounced, though still evident, suggesting that prioritizing vaccination efforts for more susceptible populations may provide a greater return on investment in outbreak prevention and control. Simulation models can offer valuable insights into vaccination and control strategies, providing tools to compare and evaluate potential outbreak scenarios. Our findings underscore the value of mathematical and simulation approaches to overcome data challenges and underreporting in global disease management for anthrax and other neglected diseases. We highlight the importance of continued investment in surveillance and modeling efforts, while providing a practical approach to optimize the use of existing data in Vietnam and similar settings.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101294"},"PeriodicalIF":4.5,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-10DOI: 10.1016/j.onehlt.2025.101292
Pan Zhang, C Raina MacIntyre
The highly pathogenic avian influenza (HPAI) H5N1 virus, particularly clade 2.3.4.4b, is currently causing a panzootic. The threat of its incursion into mainland Australia is escalating, especially following its detection in Antarctica and recently on Australia's sub-Antarctic territory, Heard Island. Comprehensive research on this emerging risk remains limited, partly due to ongoing rapid genomic mutations and evolving epidemiological dynamics. This review provides an in-depth analysis of clade 2.3.4.4b H5N1 and highlights critical knowledge gaps that must be addressed to mitigate the potential threat to mainland Australia.
{"title":"An overview of HPAI H5N1 clade 2.3.4.4b and its emerging threat in mainland Australia: Identified knowledge gaps","authors":"Pan Zhang, C Raina MacIntyre","doi":"10.1016/j.onehlt.2025.101292","DOIUrl":"10.1016/j.onehlt.2025.101292","url":null,"abstract":"<div><div>The highly pathogenic avian influenza (HPAI) H5N1 virus, particularly clade 2.3.4.4b, is currently causing a panzootic. The threat of its incursion into mainland Australia is escalating, especially following its detection in Antarctica and recently on Australia's sub-Antarctic territory, Heard Island. Comprehensive research on this emerging risk remains limited, partly due to ongoing rapid genomic mutations and evolving epidemiological dynamics. This review provides an in-depth analysis of clade 2.3.4.4b H5N1 and highlights critical knowledge gaps that must be addressed to mitigate the potential threat to mainland Australia.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101292"},"PeriodicalIF":4.5,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-08DOI: 10.1016/j.onehlt.2025.101291
Florian Hinte , Marc Lütgehetmann , Toni Luise Meister , Katja Giersch , Maura Dandri , Julian Schulze zur Wiesch , Sven Pischke
Pork is recognized as the primary source of transmission for Hepatitis E virus (HEV) genotypes 3 and 4 (gt3/4) in industrialized countries. In Germany, approximately 10 % of retail pork samples test positive for HEV. However, the potential role of pig manure as a reservoir contributing to the environmental and zoonotic transmission of HEV genotype 3 remains insufficiently characterized.
To assess HEV contamination in manure, 61 pig slurry samples were collected from various collection points in northwestern Germany and analyzed for HEV and hepatitis A virus (HAV) RNA using quantitative PCR. In line with the “One Health” concept, which emphasizes the interconnectedness of humans, animals, and the environment, this study aimed to evaluate pig manure as a potential source of HEV contamination of agricultural land and food plants, thus posing a risk to both omnivorous and vegetarian populations.
HEV RNA was detected in 67 % (41/61) of the samples, with viral loads ranging from 5.2 × 102 to 1.8 × 105 copies/mL (median 6.8 × 103 copies/mL), whereas HAV RNA was not detected in any sample. Genotyping via nested PCR identified HEV genotype 3c, a subtype frequently detected in human infections in Germany. To further characterize the viral particles, four samples with the highest viral loads were subjected to linear density gradient ultracentrifugation. Two distinct fractions were identified, corresponding to enveloped particles (suggesting urinary origin) and non-enveloped particles (suggesting fecal origin).
In conclusion, this study provides evidence for the frequent presence of both enveloped and non-enveloped HEV particles in pig slurry in Germany. These findings highlight manure as a potential environmental reservoir for HEV and underscore the need for further studies to determine HEV infectivity in slurry and to assess its epidemiological significance within the One Health framework.
{"title":"High hepatitis E virus prevalence in pig slurry samples from the north-western region of Germany","authors":"Florian Hinte , Marc Lütgehetmann , Toni Luise Meister , Katja Giersch , Maura Dandri , Julian Schulze zur Wiesch , Sven Pischke","doi":"10.1016/j.onehlt.2025.101291","DOIUrl":"10.1016/j.onehlt.2025.101291","url":null,"abstract":"<div><div>Pork is recognized as the primary source of transmission for Hepatitis E virus (HEV) genotypes 3 and 4 (gt3/4) in industrialized countries. In Germany, approximately 10 % of retail pork samples test positive for HEV. However, the potential role of pig manure as a reservoir contributing to the environmental and zoonotic transmission of HEV genotype 3 remains insufficiently characterized.</div><div>To assess HEV contamination in manure, 61 pig slurry samples were collected from various collection points in northwestern Germany and analyzed for HEV and hepatitis A virus (HAV) RNA using quantitative PCR. In line with the “One Health” concept, which emphasizes the interconnectedness of humans, animals, and the environment, this study aimed to evaluate pig manure as a potential source of HEV contamination of agricultural land and food plants, thus posing a risk to both omnivorous and vegetarian populations.</div><div>HEV RNA was detected in 67 % (41/61) of the samples, with viral loads ranging from 5.2 × 10<sup>2</sup> to 1.8 × 10<sup>5</sup> copies/mL (median 6.8 × 10<sup>3</sup> copies/mL), whereas HAV RNA was not detected in any sample. Genotyping via nested PCR identified HEV genotype 3c, a subtype frequently detected in human infections in Germany. To further characterize the viral particles, four samples with the highest viral loads were subjected to linear density gradient ultracentrifugation. Two distinct fractions were identified, corresponding to enveloped particles (suggesting urinary origin) and non-enveloped particles (suggesting fecal origin).</div><div>In conclusion, this study provides evidence for the frequent presence of both enveloped and non-enveloped HEV particles in pig slurry in Germany. These findings highlight manure as a potential environmental reservoir for HEV and underscore the need for further studies to determine HEV infectivity in slurry and to assess its epidemiological significance within the One Health framework.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101291"},"PeriodicalIF":4.5,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145712266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-04eCollection Date: 2025-12-01DOI: 10.1016/j.onehlt.2025.101279
Laura Carrera-Faja, Mariette Viladomat Jasso, Iris Sarmiento, Jordi Manuel Cabrera-Gumbau, Johan Espunyes, Jaime Martínez-Urtaza, Oscar Cabezón
Ticks are reservoirs and vectors of several emerging arboviruses, yet their associated virome remains poorly characterized. Using meta-transcriptomic sequencing, we surveyed Hyalomma marginatum and Rhipicephalus bursa ticks collected from areas with contrasting Crimean-Congo haemorrhagic fever virus (CCHFV) seroprevalence in wild ungulates in north-eastern Spain, a region with no reported CCHF cases in humans. While CCHFV RNA was not detected, we identified Volzhskoe tick virus (VTV), a recently described member of the class Bunyaviricetes, first identified in Russia, in H. marginatum from the Ports de Tortosa i Beseit Natural Park-making its first report of VTV in Western Europe. These findings suggest a broader distribution of VTV and raise important questions about its potential interactions with CCHFV, pathogenicity and host range. Moreover, our approach underscores the value of metagenomic surveillance for improving our understanding of tick-borne virus ecology.
{"title":"Metagenomic survey reveals Volzhskoe tick virus in <i>Hyalomma</i> ticks for the first time in western Europe, North-Eastern Spain.","authors":"Laura Carrera-Faja, Mariette Viladomat Jasso, Iris Sarmiento, Jordi Manuel Cabrera-Gumbau, Johan Espunyes, Jaime Martínez-Urtaza, Oscar Cabezón","doi":"10.1016/j.onehlt.2025.101279","DOIUrl":"10.1016/j.onehlt.2025.101279","url":null,"abstract":"<p><p>Ticks are reservoirs and vectors of several emerging arboviruses, yet their associated virome remains poorly characterized. Using meta-transcriptomic sequencing, we surveyed <i>Hyalomma marginatum</i> and <i>Rhipicephalus bursa</i> ticks collected from areas with contrasting Crimean-Congo haemorrhagic fever virus (CCHFV) seroprevalence in wild ungulates in north-eastern Spain, a region with no reported CCHF cases in humans. While CCHFV RNA was not detected, we identified Volzhskoe tick virus (VTV), a recently described member of the class <i>Bunyaviricetes</i>, first identified in Russia, in <i>H. marginatum</i> from the Ports de Tortosa i Beseit Natural Park-making its first report of VTV in Western Europe. These findings suggest a broader distribution of VTV and raise important questions about its potential interactions with CCHFV, pathogenicity and host range. Moreover, our approach underscores the value of metagenomic surveillance for improving our understanding of tick-borne virus ecology.</p>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"21 ","pages":"101279"},"PeriodicalIF":4.5,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12721309/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145820548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}