Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100126
Christine Griebsch, Jacqueline Norris, Michael P. Ward
Background
After an apparent absence of disease, 79 cases of canine leptospirosis were reported in New South Wales (NSW), Australia between 2017 and 2023. Between 2016 and 2023, 281 human leptospirosis cases were reported in NSW. Our aim was to compare the geospatial distribution and causative serovars of canine and human cases to investigate if cases are possibly associated.
Methods
Human data (n = 190) included Statistical Area Level 3 (SA3)-location, place of acquisition, and serovar; cases acquired outside NSW were excluded. Canine data comprised postcodes (allocated to corresponding SA3) and serovar. Spatial patterns for human and canine cases were mapped, and correlations between human and canine cases were examined.
Results
In dogs, serovar Australis (n = 23, 29 %) and Copenhageni (n = 14, 18 %) were most common, whereas in humans it was serovar Arborea (n = 111, 58 %) and Hardjo (n = 13, 7 %). Serovars causing disease in both humans and dogs were Australis, Copenhageni, Hardjo, Pomona, and Robinsoni. In southeastern NSW, serovar Australis infections increased in both dogs and humans. Canine cases were significantly clustered in Greater Sydney and the South Coast whereas human cases were mainly centered around the North Coast with no significant clustering. Overall, there were nine SA3s where both canine (n = 38) and human (n = 51) cases were reported. There was no evidence of correlation between numbers of human and canine cases at the SA3 level (Spearman's rank correlation coefficient [r] = −0.053, P = 0.641) and no overlap between specific serovars at the spatial level.
Conclusion
Our results do not support dog−human transmission or common sources of infection.
{"title":"Emerging human and canine leptospirosis in New South Wales: insights from a One Health geospatial study","authors":"Christine Griebsch, Jacqueline Norris, Michael P. Ward","doi":"10.1016/j.soh.2025.100126","DOIUrl":"10.1016/j.soh.2025.100126","url":null,"abstract":"<div><h3>Background</h3><div>After an apparent absence of disease, 79 cases of canine leptospirosis were reported in New South Wales (NSW), Australia between 2017 and 2023. Between 2016 and 2023, 281 human leptospirosis cases were reported in NSW. Our aim was to compare the geospatial distribution and causative serovars of canine and human cases to investigate if cases are possibly associated.</div></div><div><h3>Methods</h3><div>Human data (<em>n</em> = 190) included Statistical Area Level 3 (SA3)-location, place of acquisition, and serovar; cases acquired outside NSW were excluded. Canine data comprised postcodes (allocated to corresponding SA3) and serovar. Spatial patterns for human and canine cases were mapped, and correlations between human and canine cases were examined.</div></div><div><h3>Results</h3><div>In dogs, serovar Australis (<em>n</em> = 23, 29 %) and Copenhageni (<em>n</em> = 14, 18 %) were most common, whereas in humans it was serovar Arborea (<em>n</em> = 111, 58 %) and Hardjo (<em>n</em> = 13, 7 %). Serovars causing disease in both humans and dogs were Australis, Copenhageni, Hardjo, Pomona, and Robinsoni. In southeastern NSW, serovar Australis infections increased in both dogs and humans. Canine cases were significantly clustered in Greater Sydney and the South Coast whereas human cases were mainly centered around the North Coast with no significant clustering. Overall, there were nine SA3s where both canine (<em>n</em> = 38) and human (<em>n</em> = 51) cases were reported. There was no evidence of correlation between numbers of human and canine cases at the SA3 level (Spearman's rank correlation coefficient [<em>r</em>] = −0.053, <em>P</em> = 0.641) and no overlap between specific serovars at the spatial level.</div></div><div><h3>Conclusion</h3><div>Our results do not support dog−human transmission or common sources of infection.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100126"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100115"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146293623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146293626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146293627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146293629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146293635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100116"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146293647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146293652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100133
Hamadou Oumarou Hama , Idir Bitam , Michel Drancourt
Background
Closely related bacterial pathogens, Yersinia pseudotuberculosis, Yersinia pestis (the plague agent), and Yersinia enterocolitica, reside in environmental ecosystems that may be the source of infection for animals and humans. Reliable field-deployable detection methods are essential for monitoring these pathogens in natural ecosystems.
Methods
A colorimetric loop-mediated isothermal amplification (LAMP) assay targeting the mglB gene (shared by Y. pseudotuberculosis and Y. pestis) and the chbG gene (specific to Y. enterocolitica) was developed. Specificity was evaluated using six Yersinia isolates, and sensitivity was determined from serial dilutions of Y. enterocolitica and Y. pseudotuberculosis cultures. The optimized LAMP assays were then applied to 28 environmental samples collected from two plague-endemic regions and one plague-free region in Algeria, and results were compared with those obtained using conventional PCR.
Results
No Yersinia species were detected in any environmental samples by either LAMP or PCR. However, both assays successfully detected 1.5 × 108 CFU/mL of Y. pseudotuberculosis or Y. enterocolitica when samples were artificially spiked, confirming that no environmental inhibitors interfered with detection.
Conclusion
The reported LAMP assays show characteristics that make them well suited for field deployment in the environmental monitoring of Yersinia species of medical and veterinary importance.
{"title":"Development of a cost-effective LAMP method for screening and monitoring enteropathogenic Yersinia in environmental matrices","authors":"Hamadou Oumarou Hama , Idir Bitam , Michel Drancourt","doi":"10.1016/j.soh.2025.100133","DOIUrl":"10.1016/j.soh.2025.100133","url":null,"abstract":"<div><h3>Background</h3><div>Closely related bacterial pathogens, <em>Yersinia pseudotuberculosis</em>, <em>Yersinia pestis</em> (the plague agent), and <em>Yersinia enterocolitica,</em> reside in environmental ecosystems that may be the source of infection for animals and humans. Reliable field-deployable detection methods are essential for monitoring these pathogens in natural ecosystems.</div></div><div><h3>Methods</h3><div>A colorimetric loop-mediated isothermal amplification (LAMP) assay targeting the <em>mglB</em> gene (shared by <em>Y. pseudotuberculosis</em> and <em>Y. pestis</em>) and the <em>chbG</em> gene (specific to <em>Y. enterocolitica</em>) was developed. Specificity was evaluated using six <em>Yersinia</em> isolates, and sensitivity was determined from serial dilutions of <em>Y. enterocolitica</em> and <em>Y. pseudotuberculosis</em> cultures. The optimized LAMP assays were then applied to 28 environmental samples collected from two plague-endemic regions and one plague-free region in Algeria, and results were compared with those obtained using conventional PCR.</div></div><div><h3>Results</h3><div>No <em>Yersinia</em> species were detected in any environmental samples by either LAMP or PCR. However, both assays successfully detected 1.5 × 10<sup>8</sup> CFU/mL of <em>Y. pseudotuberculosis</em> or <em>Y. enterocolitica</em> when samples were artificially spiked, confirming that no environmental inhibitors interfered with detection.</div></div><div><h3>Conclusion</h3><div>The reported LAMP assays show characteristics that make them well suited for field deployment in the environmental monitoring of <em>Yersinia</em> species of medical and veterinary importance.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.soh.2025.100110
Angkana Lekagul , Saowapa Khotchalai , Wanwisa Kaewkhankhaeng , Mary Gordoncillo , Fuangfa Utrarachkij , Viroj Tangcharoensathien
Background
Antimicrobial resistance (AMR) is a pressing global health issue, exacerbated by extensive antimicrobial use across human, animal, and plant sectors. The environment plays a crucial role in AMR emergence and spread due to the contamination from resistant bacteria, resistance genes, and antimicrobial residues from various sources. In Thailand, the regulatory framework that can reinforce AMR mitigation in environmental settings remains underdeveloped. This study aims to analyse the existing regulatory framework for environmental AMR control by identifying regulatory gaps and assessing the challenges of implementing these regulations.
Methods
A qualitative approach was employed, combining a literature review and semi-structured interviews with 28 key informants from diverse regulatory sectors, including the ministries of health, agriculture, and environment. This included multi-level stakeholders at national, provincial, and local levels, as well as selected farmers. Content analysis of interview transcripts and regulatory documents was performed to triangulate findings on regulatory gaps and implementation barriers.
Results
The study identified five regulatory categories governing water contamination across settings: rivers/canals, hospital wastewater, household wastewater, industrial waste (including pharmaceuticals), and animal farms. While the regulatory frameworks guide pollution standards, regulations lack provisions specific to AMR, highlighting a significant gap in AMR oversight and data on AMR pathogens in environmental wastewater. Key barriers include insufficient incorporation of AMR indicators in routine monitoring, limited enforcement, and inadequate technical and budgetary support.
Conclusion
Thailand's current environmental AMR framework lacks comprehensive AMR-specific regulations and robust enforcement mechanisms. Addressing these gaps requires multi-sectoral coordination, enhanced funding, and capacity-building initiatives. By prioritizing indicator development and establishing AMR-focused policies, Thailand can enhance its environmental AMR control measures and contribute to global AMR mitigation efforts.
{"title":"Regulating antimicrobial resistance in the environment: analysis of Thailand legal framework and areas for reinforcement","authors":"Angkana Lekagul , Saowapa Khotchalai , Wanwisa Kaewkhankhaeng , Mary Gordoncillo , Fuangfa Utrarachkij , Viroj Tangcharoensathien","doi":"10.1016/j.soh.2025.100110","DOIUrl":"10.1016/j.soh.2025.100110","url":null,"abstract":"<div><h3>Background</h3><div>Antimicrobial resistance (AMR) is a pressing global health issue, exacerbated by extensive antimicrobial use across human, animal, and plant sectors. The environment plays a crucial role in AMR emergence and spread due to the contamination from resistant bacteria, resistance genes, and antimicrobial residues from various sources. In Thailand, the regulatory framework that can reinforce AMR mitigation in environmental settings remains underdeveloped. This study aims to analyse the existing regulatory framework for environmental AMR control by identifying regulatory gaps and assessing the challenges of implementing these regulations.</div></div><div><h3>Methods</h3><div>A qualitative approach was employed, combining a literature review and semi-structured interviews with 28 key informants from diverse regulatory sectors, including the ministries of health, agriculture, and environment. This included multi-level stakeholders at national, provincial, and local levels, as well as selected farmers. Content analysis of interview transcripts and regulatory documents was performed to triangulate findings on regulatory gaps and implementation barriers.</div></div><div><h3>Results</h3><div>The study identified five regulatory categories governing water contamination across settings: rivers/canals, hospital wastewater, household wastewater, industrial waste (including pharmaceuticals), and animal farms. While the regulatory frameworks guide pollution standards, regulations lack provisions specific to AMR, highlighting a significant gap in AMR oversight and data on AMR pathogens in environmental wastewater. Key barriers include insufficient incorporation of AMR indicators in routine monitoring, limited enforcement, and inadequate technical and budgetary support.</div></div><div><h3>Conclusion</h3><div>Thailand's current environmental AMR framework lacks comprehensive AMR-specific regulations and robust enforcement mechanisms. Addressing these gaps requires multi-sectoral coordination, enhanced funding, and capacity-building initiatives. By prioritizing indicator development and establishing AMR-focused policies, Thailand can enhance its environmental AMR control measures and contribute to global AMR mitigation efforts.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"4 ","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}