This article examines the historical roots of the One Health concept and highlights its deep convergence with Florence Nightingale's Environmental Theory. Although One Health gained prominence in the early 2000s, its intellectual foundations are much older, encompassing Indigenous knowledge systems, nineteenth-century public health, and the work of Virchow, Osler, and Schwabe. Through a historical–conceptual analysis of Nightingale's writings and key One Health milestones, the article shows how her emphasis on environmental determinants, stewardship of natural and built environments, systematic observation, statistical evidence, and coordinated cross-sectoral action anticipated core One Health principles. Five areas of convergence are identified: prevention focused on environmental determinants, environmental stewardship, data-informed decision making, transdisciplinary collaboration, and continuous system improvement. The article argues that Nightingale's legacy positions nursing as a strategic actor in the local implementation of One Health, particularly in designing therapeutic and healthy environments and integrating environmental indicators into care, governance, and health policy.
{"title":"Tracing the roots of One Health principles in nursing practice","authors":"Júlio Belo Fernandes , Sónia Fernandes , Cidália Castro , Diana Vareta","doi":"10.1016/j.onehlt.2025.101306","DOIUrl":"10.1016/j.onehlt.2025.101306","url":null,"abstract":"<div><div>This article examines the historical roots of the One Health concept and highlights its deep convergence with Florence Nightingale's Environmental Theory. Although One Health gained prominence in the early 2000s, its intellectual foundations are much older, encompassing Indigenous knowledge systems, nineteenth-century public health, and the work of Virchow, Osler, and Schwabe. Through a historical–conceptual analysis of Nightingale's writings and key One Health milestones, the article shows how her emphasis on environmental determinants, stewardship of natural and built environments, systematic observation, statistical evidence, and coordinated cross-sectoral action anticipated core One Health principles. Five areas of convergence are identified: prevention focused on environmental determinants, environmental stewardship, data-informed decision making, transdisciplinary collaboration, and continuous system improvement. The article argues that Nightingale's legacy positions nursing as a strategic actor in the local implementation of One Health, particularly in designing therapeutic and healthy environments and integrating environmental indicators into care, governance, and health policy.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101306"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927021","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 : 2026-06-01Epub Date: 2025-12-26DOI: 10.1016/j.onehlt.2025.101309
Emily G. Bache , Paulina Matzkin , Jessica Fleming , Risa Pesapane , Danielle M. Tufts
Tick-borne diseases (TBDs) are the most common vector-borne diseases reported annually in the United States. Lyme disease, caused primarily by the spirochetal bacterium Borrelia burgdorferi sensu stricto (s.s.) affects an estimated 476,000 people each year. Borrelia burgdorferi is transmitted by the tick Ixodes scapularis and is maintained in an enzootic cycle with small mammal reservoirs in the eastern United States. Since B. burgdorferi can infect humans and domestic animals, Lyme disease is an important One Health concern between humans and animals. People residing in endemic areas are likely to possess differences in knowledge and protective behaviors compared to people living in areas where Lyme disease is newly emerging. To better understand behavioral differences and perspectives of Lyme disease and other TBDs in these areas, elements of participatory epidemiology were incorporated by surveying homeowners from a Lyme disease endemic area (southwestern Pennsylvania) and an emerging area (eastern Ohio). The survey covered three main areas of interest: perceived risk of tick exposure and TBD health risks, personal protection methods used to prevent or reduce exposure to tick bites, and protection methods to reduce tick presence on residential properties. The results of our study suggest that residents in endemic regions may be more educated and aware of TBD risk and prevention methods based on their belief that TBDs pose at least a minor health risk. Additionally, more Pennsylvania residents used tick-bite prevention methods while outdoors on their property. Residents in Ohio were unlikely to make any changes to protect themselves or their property from ticks, which may be a result of a lack of education or motivation to change their behaviors. The findings from this study can inform public health education and interventions to increase awareness and reduce the risk of TBDs in endemic and emerging areas.
{"title":"Using participatory epidemiology to understand differences in tick-borne disease perceptions from homeowners in the Ohio River valley","authors":"Emily G. Bache , Paulina Matzkin , Jessica Fleming , Risa Pesapane , Danielle M. Tufts","doi":"10.1016/j.onehlt.2025.101309","DOIUrl":"10.1016/j.onehlt.2025.101309","url":null,"abstract":"<div><div>Tick-borne diseases (TBDs) are the most common vector-borne diseases reported annually in the United States. Lyme disease, caused primarily by the spirochetal bacterium <em>Borrelia burgdorferi</em> sensu stricto (s.s.) affects an estimated 476,000 people each year. <em>Borrelia burgdorferi</em> is transmitted by the tick <em>Ixodes scapularis</em> and is maintained in an enzootic cycle with small mammal reservoirs in the eastern United States. Since <em>B. burgdorferi</em> can infect humans and domestic animals, Lyme disease is an important One Health concern between humans and animals. People residing in endemic areas are likely to possess differences in knowledge and protective behaviors compared to people living in areas where Lyme disease is newly emerging. To better understand behavioral differences and perspectives of Lyme disease and other TBDs in these areas, elements of participatory epidemiology were incorporated by surveying homeowners from a Lyme disease endemic area (southwestern Pennsylvania) and an emerging area (eastern Ohio). The survey covered three main areas of interest: perceived risk of tick exposure and TBD health risks, personal protection methods used to prevent or reduce exposure to tick bites, and protection methods to reduce tick presence on residential properties. The results of our study suggest that residents in endemic regions may be more educated and aware of TBD risk and prevention methods based on their belief that TBDs pose at least a minor health risk. Additionally, more Pennsylvania residents used tick-bite prevention methods while outdoors on their property. Residents in Ohio were unlikely to make any changes to protect themselves or their property from ticks, which may be a result of a lack of education or motivation to change their behaviors. The findings from this study can inform public health education and interventions to increase awareness and reduce the risk of TBDs in endemic and emerging areas.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101309"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927068","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}
Liver flukes (Opisthorchis viverrine, OV) infections in water sources continue to persist in Sakon Nakhon Province, which is linked to the Mekong River. The agency's traditional infection data comprises the locations of infected water sources. However, this data is insufficient for developing a predictive model for infections within the sub-basin. When analyzed alongside independent variables, represented as identical points, it lacks the necessary information to generate a trend line that produces a reliable coefficient. This study implemented a spatial model that integrates a geographic-weighted regression (GWR) framework with appropriate weighting as a prototype. This approach improves the selection of independent variables by shifting from a point-based methodology to a weighted hexagonal grid.
Method
A set of eight independent variables land use, soil drainage, road network, water sources, streamlines, surface temperature, NDMI (Normalized Difference Moisture Index), and NDVI (Normalized Difference Vegetation Index) was initially weighted. This study developed three linear models based on the Geographically Weighted Regression (GWR) model. It demonstrates the advantages of utilizing a hexagonal grid instead of a point grid. The three alternative models were tested with various independent variables and employed a factor-by-factor averaging approach, which necessitates the hexagonal grid size as a counterweight to ensure fairness across the entire grid, rather than relying solely on point data. A mathematical model was developed to calculate the average of each factor in order to achieve equality across a hexagonal grid area. Subsequently, the correlation was tested, and the alternative models were grouped. The resulting dendrogram includes three models.
Results and discussion
The results of the GWR comparison test were derived from both infected and hexagonal water source data. Models constructed from hexagonal grids consistently outperformed all alternative models, with R2 values improving to 58.7 %, 41.1 %, and 53.2 % for Model-1, Model-2, and Model-3, respectively. The RMSE also showed significant improvement, decreasing to 77.1 %, 60.2 %, and 67.2 %. Additionally, the model's accuracy was evaluated using AUC values of 0.725, 0.652, and 0.707, indicating that the developed model can effectively predict water source infections. Model-1 emerged as the most representative across all tests, incorporating soil drainage factors and road proximity as key influences on water source infection. Finally, the results are presented as infection prediction maps for each grid, highlighting areas of both overestimation and underestimation. The most accurate prediction model identified that over 95 % of grids had a high degree of accuracy. This study is anticipated to be applicable to infections caused by other water-mediated parasites.
{"title":"Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand","authors":"Benjamabhorn Pumhirunroj , Patiwat Littidej , Thidarut Boonmars , Atchara Artchayasawat , Nutchanat Buasri , Donald Slack","doi":"10.1016/j.onehlt.2026.101320","DOIUrl":"10.1016/j.onehlt.2026.101320","url":null,"abstract":"<div><h3>Introduction</h3><div>Liver flukes (<em>Opisthorchis viverrine, OV</em>) infections in water sources continue to persist in Sakon Nakhon Province, which is linked to the Mekong River. The agency's traditional infection data comprises the locations of infected water sources. However, this data is insufficient for developing a predictive model for infections within the sub-basin. When analyzed alongside independent variables, represented as identical points, it lacks the necessary information to generate a trend line that produces a reliable coefficient. This study implemented a spatial model that integrates a geographic-weighted regression (GWR) framework with appropriate weighting as a prototype. This approach improves the selection of independent variables by shifting from a point-based methodology to a weighted hexagonal grid.</div></div><div><h3>Method</h3><div>A set of eight independent variables land use, soil drainage, road network, water sources, streamlines, surface temperature, NDMI (Normalized Difference Moisture Index), and NDVI (Normalized Difference Vegetation Index) was initially weighted. This study developed three linear models based on the Geographically Weighted Regression (GWR) model. It demonstrates the advantages of utilizing a hexagonal grid instead of a point grid. The three alternative models were tested with various independent variables and employed a factor-by-factor averaging approach, which necessitates the hexagonal grid size as a counterweight to ensure fairness across the entire grid, rather than relying solely on point data. A mathematical model was developed to calculate the average of each factor in order to achieve equality across a hexagonal grid area. Subsequently, the correlation was tested, and the alternative models were grouped. The resulting dendrogram includes three models.</div></div><div><h3>Results and discussion</h3><div>The results of the GWR comparison test were derived from both infected and hexagonal water source data. Models constructed from hexagonal grids consistently outperformed all alternative models, with R<sup>2</sup> values improving to 58.7 %, 41.1 %, and 53.2 % for Model-1, Model-2, and Model-3, respectively. The RMSE also showed significant improvement, decreasing to 77.1 %, 60.2 %, and 67.2 %. Additionally, the model's accuracy was evaluated using AUC values of 0.725, 0.652, and 0.707, indicating that the developed model can effectively predict water source infections. Model-1 emerged as the most representative across all tests, incorporating soil drainage factors and road proximity as key influences on water source infection. Finally, the results are presented as infection prediction maps for each grid, highlighting areas of both overestimation and underestimation. The most accurate prediction model identified that over 95 % of grids had a high degree of accuracy. This study is anticipated to be applicable to infections caused by other water-mediated parasites.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101320"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077521","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 : 2026-06-01Epub Date: 2026-01-12DOI: 10.1016/j.onehlt.2026.101329
Zhiyu Li , Biao Tang , Huafeng Jian , Xiaoqian Long , Fengcheng Miao , Yao Shen , Tong Jiang , Yue Yang , Hua Yang , Lin Teng , Wenbin Zheng , Jiangang Ma
Carbapenems and colistin resistance in Enterobacterales is a global public health issue. In this study, we isolated seven Escherichia coli strains co-resistant to colistin and meropenem from market chicken meat in Zhejiang Province, China. Antimicrobial susceptibility testing showed that these strains exhibited extensive antimicrobial resistance, with a 100% multidrug-resistant rate. All seven strains harbored both blaNDM and mcr-1 genes, along with various additional resistance genes. Among the seven E. coli strains, the harboring blaNDM plasmids were IncX3 (4/7) and IncB/O/K/Z (3/7) plasmids, and the mcr-1 gene was primarily identified on IncI2 (3/7) plasmids. Notably, most plasmids harboring the blaNDM and mcr genes can be transferred to recipient bacteria via conjugation, highlighting their role as important vehicles for the dissemination of resistance genes. Meanwhile, we also identified a novel blaNDM variant, designated blaNDM-85, which exhibited amino acid substitutions E152K and M154L compared to blaNDM-1. Through the cloning and expression of blaNDM-1 to blaNDM-10 and blaNDM-85 genes, it was found that the resistance levels of blaNDM-85 were significantly higher than other blaNDM variants. It should be noted that the spread of blaNDM-85 will further increase the difficulty of treating clinically resistant bacteria. Our findings highlight the detection of blaNDM and mcr-1 producing E. coli in market chicken meat as a potential public health risk. And the urgent need for enhanced surveillance and intervention strategies to mitigate the spread of these multidrug-resistant pathogens in the food chain.
{"title":"Characteristics of Escherichia coli co-harboring blaNDM and mcr-1 genes from market chicken meat","authors":"Zhiyu Li , Biao Tang , Huafeng Jian , Xiaoqian Long , Fengcheng Miao , Yao Shen , Tong Jiang , Yue Yang , Hua Yang , Lin Teng , Wenbin Zheng , Jiangang Ma","doi":"10.1016/j.onehlt.2026.101329","DOIUrl":"10.1016/j.onehlt.2026.101329","url":null,"abstract":"<div><div>Carbapenems and colistin resistance in <em>Enterobacterales</em> is a global public health issue. In this study, we isolated seven <em>Escherichia coli</em> strains co-resistant to colistin and meropenem from market chicken meat in Zhejiang Province, China. Antimicrobial susceptibility testing showed that these strains exhibited extensive antimicrobial resistance, with a 100% multidrug-resistant rate. All seven strains harbored both <em>bla</em><sub>NDM</sub> and <em>mcr-1</em> genes, along with various additional resistance genes. Among the seven <em>E. coli</em> strains, the harboring <em>bla</em><sub>NDM</sub> plasmids were IncX3 (4/7) and IncB/O/K/Z (3/7) plasmids, and the <em>mcr-1</em> gene was primarily identified on IncI2 (3/7) plasmids. Notably, most plasmids harboring the <em>bla</em><sub>NDM</sub> and <em>mcr</em> genes can be transferred to recipient bacteria <em>via</em> conjugation, highlighting their role as important vehicles for the dissemination of resistance genes. Meanwhile, we also identified a novel <em>bla</em><sub>NDM</sub> variant, designated <em>bla</em><sub>NDM-85</sub>, which exhibited amino acid substitutions E152K and M154L compared to <em>bla</em><sub>NDM-1</sub>. Through the cloning and expression of <em>bla</em><sub>NDM-1</sub> to <em>bla</em><sub>NDM-10</sub> and <em>bla</em><sub>NDM-85</sub> genes, it was found that the resistance levels of <em>bla</em><sub>NDM-85</sub> were significantly higher than other <em>bla</em><sub>NDM</sub> variants. It should be noted that the spread of <em>bla</em><sub>NDM-85</sub> will further increase the difficulty of treating clinically resistant bacteria. Our findings highlight the detection of <em>bla</em><sub>NDM</sub> and <em>mcr-1</em> producing <em>E. coli</em> in market chicken meat as a potential public health risk. And the urgent need for enhanced surveillance and intervention strategies to mitigate the spread of these multidrug-resistant pathogens in the food chain.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101329"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037739","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 : 2026-06-01Epub Date: 2026-01-12DOI: 10.1016/j.onehlt.2026.101326
Elisa Fesce , Josué Martínez-de la Puente , Martina Ferraguti
Mosquito populations are shaped by a variety of environmental drivers, including temperature fluctuations, habitat alterations, and physicochemical factors. These drivers impact mosquito community composition, influencing the spread of vector-borne diseases. Species differ in their sensitivity to environmental changes, with some thriving in anthropogenic landscapes and others exhibit preferences for natural habitats. Abiotic factors such as temperature, water pH, salinity, and dissolved oxygen strongly affect larval survival and development, while interspecific competition among larvae shapes community structure and species abundance, impacting pathogen transmission. Mosquito feeding preferences further influence pathogen transmission by determining host selection; with opportunistic mosquito species that can act as bridge vectors between humans, domestic animals, and wildlife, facilitating the spread of zoonotic pathogens. In this respect, understanding the dynamics of zoonotic pathogens requires a One Health approach that integrates human, animal and environmental health. Mathematical models, in particular, draw on ecological, environmental and biological factors to elucidate mosquito population dynamics and disease transmission, reinforcing the importance of adopting an integrated perspective. We examine the key environmental, ecological, and biological factors shaping mosquito community composition, and highlight the role of mathematical modelling in clarifying how these factors influence mosquito-borne disease transmission. Our findings emphasize that vector surveillance and control programs should target specific vector species in relevant habitats to optimize effectiveness and reduce economic costs.
{"title":"The ecology of biting: buzzing through the main ecological, environmental and biological drivers of mosquito-borne diseases","authors":"Elisa Fesce , Josué Martínez-de la Puente , Martina Ferraguti","doi":"10.1016/j.onehlt.2026.101326","DOIUrl":"10.1016/j.onehlt.2026.101326","url":null,"abstract":"<div><div>Mosquito populations are shaped by a variety of environmental drivers, including temperature fluctuations, habitat alterations, and physicochemical factors. These drivers impact mosquito community composition, influencing the spread of vector-borne diseases. Species differ in their sensitivity to environmental changes, with some thriving in anthropogenic landscapes and others exhibit preferences for natural habitats. Abiotic factors such as temperature, water pH, salinity, and dissolved oxygen strongly affect larval survival and development, while interspecific competition among larvae shapes community structure and species abundance, impacting pathogen transmission. Mosquito feeding preferences further influence pathogen transmission by determining host selection; with opportunistic mosquito species that can act as bridge vectors between humans, domestic animals, and wildlife, facilitating the spread of zoonotic pathogens. In this respect, understanding the dynamics of zoonotic pathogens requires a One Health approach that integrates human, animal and environmental health. Mathematical models, in particular, draw on ecological, environmental and biological factors to elucidate mosquito population dynamics and disease transmission, reinforcing the importance of adopting an integrated perspective. We examine the key environmental, ecological, and biological factors shaping mosquito community composition, and highlight the role of mathematical modelling in clarifying how these factors influence mosquito-borne disease transmission. Our findings emphasize that vector surveillance and control programs should target specific vector species in relevant habitats to optimize effectiveness and reduce economic costs.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101326"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977200","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 : 2026-06-01Epub Date: 2026-01-10DOI: 10.1016/j.onehlt.2026.101321
Wenbo Xu , Liyan Sui , Nan Liu , Lesley Bell-Sakyi , Yicheng Zhao , Yuanzhi Wang , Yinghua Zhao , Changfeng Zhu , Quan Liu
The identification of novel tick-borne viruses, such as Mukawa virus (MKWV), underscores a growing need to assess their potential public health risks. In this study, we isolated the MKWV strain HLJ1 from Ixodes persulcatus ticks. While this initial isolate demonstrated limited replication in mammalian cell lines and mice, it productively infected human primary cell-derived 3D spheroids. Serial passaging in this model significantly enhanced viral titers, suggesting adaptive evolution. The resulting adapted strain exhibited increased virulence, causing pronounced cytopathic effects in Vero cells, infecting diverse mammalian cell types, and leading to 100% mortality in suckling mice, with associated liver inflammation and damage. These pathogenic outcomes were recapitulated in the 3D human liver spheroids, which showed impaired cellular synthetic functions, cell death, and heightened inflammatory responses following infection. Epidemiological screening of 145 serum samples from tick-bitten patients in Northeastern China revealed low but detectable exposure, with 1.4% positive for MKWV RNA, 4.8% for IgG antibodies, and 3.4% for neutralizing antibodies. Collectively, our findings integrate a novel human-relevant 3D culture system with field surveillance to highlight the potential risks of MKWV to human health and provide a model framework for evaluating emerging tick-borne viruses.
{"title":"Human 3D liver spheroids support productive infection of a novel tick-borne phenuivirus","authors":"Wenbo Xu , Liyan Sui , Nan Liu , Lesley Bell-Sakyi , Yicheng Zhao , Yuanzhi Wang , Yinghua Zhao , Changfeng Zhu , Quan Liu","doi":"10.1016/j.onehlt.2026.101321","DOIUrl":"10.1016/j.onehlt.2026.101321","url":null,"abstract":"<div><div>The identification of novel tick-borne viruses, such as Mukawa virus (MKWV), underscores a growing need to assess their potential public health risks. In this study, we isolated the MKWV strain HLJ1 from <em>Ixodes persulcatus</em> ticks. While this initial isolate demonstrated limited replication in mammalian cell lines and mice, it productively infected human primary cell-derived 3D spheroids. Serial passaging in this model significantly enhanced viral titers, suggesting adaptive evolution. The resulting adapted strain exhibited increased virulence, causing pronounced cytopathic effects in Vero cells, infecting diverse mammalian cell types, and leading to 100% mortality in suckling mice, with associated liver inflammation and damage. These pathogenic outcomes were recapitulated in the 3D human liver spheroids, which showed impaired cellular synthetic functions, cell death, and heightened inflammatory responses following infection. Epidemiological screening of 145 serum samples from tick-bitten patients in Northeastern China revealed low but detectable exposure, with 1.4% positive for MKWV RNA, 4.8% for IgG antibodies, and 3.4% for neutralizing antibodies. Collectively, our findings integrate a novel human-relevant 3D culture system with field surveillance to highlight the potential risks of MKWV to human health and provide a model framework for evaluating emerging tick-borne viruses.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101321"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977280","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 : 2026-06-01Epub Date: 2026-01-30DOI: 10.1016/j.onehlt.2026.101344
Wang Yao , Kou Zengqiang , Pang Bo , Tian Xueying , Wen Hongling
Background
Severe fever with thrombocytopenia syndrome (SFTS) is a rapidly emerging tick-borne disease with high mortality. Despite increasing recognition of environmental and socioeconomic drivers, their roles in sustaining local transmission remain poorly differentiated.
Methods
We collected county-level SFTS case data from Shandong Province between 2015 and 2022, along with corresponding socioeconomic and meteorological indicators. A random forest regression (RFE) model was used to quantify the relative importance of environmental and social drivers. Additionally, a spatiotemporal multi-component (STM) model was employed at the county level to characterize transmission heterogeneity and key driving forces.
Results
SFTS incidence exhibited pronounced spatiotemporal heterogeneity, with Jiaodong Peninsula and central Shandong identified as major hotspots. The epidemic component (0.59, 95%CI: 0.50, 0.76) predominated in coastal areas, while the endemic risk was more uniformly distributed (0.03, 95%CI: 0.01, 0.17). Maximum temperature (1.69, 95%CI: 0.10, 3.78) and relative humidity (1.67, 95%CI: 0.90, 2.88) was positively associated with endemic risk, whereas higher population density (−0.72, 95%CI: −0.91, −0.57) and wind speed (−1.19, 95%CI: −1.99, −0.33) were inversely associated. Incorporating these covariates significantly improved model fit and reduced unexplained heterogeneity in endemic risk. Three distinct transmission patterns were identified across high-incidence counties, reflecting dynamic shifts in dominant transmission modes over time.
Conclusions
Environmental and demographic factors jointly influence SFTS transmission in Shandong, with higher maximum temperature promoting its spread, whereas higher population density and stronger wind speed exert inhibitory effects. These findings emphasize the necessity of developing region-specific surveillance and intervention strategies that account for local environmental conditions and transmission patterns to effectively mitigate disease risk.
{"title":"Modeling the role of environmental and socioeconomic factors in endemic SFTS risk using a multicomponent framework","authors":"Wang Yao , Kou Zengqiang , Pang Bo , Tian Xueying , Wen Hongling","doi":"10.1016/j.onehlt.2026.101344","DOIUrl":"10.1016/j.onehlt.2026.101344","url":null,"abstract":"<div><h3>Background</h3><div>Severe fever with thrombocytopenia syndrome (SFTS) is a rapidly emerging tick-borne disease with high mortality. Despite increasing recognition of environmental and socioeconomic drivers, their roles in sustaining local transmission remain poorly differentiated.</div></div><div><h3>Methods</h3><div>We collected county-level SFTS case data from Shandong Province between 2015 and 2022, along with corresponding socioeconomic and meteorological indicators. A random forest regression (RFE) model was used to quantify the relative importance of environmental and social drivers. Additionally, a spatiotemporal multi-component (STM) model was employed at the county level to characterize transmission heterogeneity and key driving forces.</div></div><div><h3>Results</h3><div>SFTS incidence exhibited pronounced spatiotemporal heterogeneity, with Jiaodong Peninsula and central Shandong identified as major hotspots. The epidemic component (0.59, 95%CI: 0.50, 0.76) predominated in coastal areas, while the endemic risk was more uniformly distributed (0.03, 95%CI: 0.01, 0.17). Maximum temperature (1.69, 95%CI: 0.10, 3.78) and relative humidity (1.67, 95%CI: 0.90, 2.88) was positively associated with endemic risk, whereas higher population density (−0.72, 95%CI: −0.91, −0.57) and wind speed (−1.19, 95%CI: −1.99, −0.33) were inversely associated. Incorporating these covariates significantly improved model fit and reduced unexplained heterogeneity in endemic risk. Three distinct transmission patterns were identified across high-incidence counties, reflecting dynamic shifts in dominant transmission modes over time.</div></div><div><h3>Conclusions</h3><div>Environmental and demographic factors jointly influence SFTS transmission in Shandong, with higher maximum temperature promoting its spread, whereas higher population density and stronger wind speed exert inhibitory effects. These findings emphasize the necessity of developing region-specific surveillance and intervention strategies that account for local environmental conditions and transmission patterns to effectively mitigate disease risk.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101344"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146165886","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 : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.onehlt.2026.101319
Paulo Cezar Ceresini , Waldir Cintra de Jesus Junior , Ana Carolina Firmino , Bárbara Pereira Christofaro Silva , Danilo Tancler Stipp , Edson Luiz Furtado , Fábio Luiz Checchio Mingotte , Karine Assis Costa , Paulo Renato Matos Lopes , Rita Luiza Peruquetti
Antifungal resistance in Aspergillus fumigatus and other environmental fungi represents a growing global threat to human health, driven in part by agricultural fungicide use. The scale of the threat is masked by inadequate multisector surveillance. In December 2025, the Brazilian Network Meeting on Aspergillus fumigatus Antimicrobial Resistance convened clinical, agricultural, environmental, and public-health experts to address these challenges using a One Health framework. Through a structured plenary deliberation, participants approved “The Botucatu Document: One Health Antifungal Resistance Policies — A Call for Action,” a unified Public Statement of Concern outlining governance principles and coordinated national actions for Brazil. The Statement reflects consensus across four Working Groups on clinical surveillance, environmental monitoring, fungicide regulation, and public health communication. Together, these directives call for independent AMR data collection, FAIR transparency, cross-sector governance, strengthened laboratory capacity, environmental aerobiome surveillance, new fungicide risk-assessment criteria, and comprehensive One Health communication strategies. This manuscript presents the full Public Statement as approved verbatim, situates it within global AMR policy frameworks, and highlights implications for Brazil's forthcoming National AMR Action Plan (2026–2031). The Botucatu Document represents a milestone in aligning agricultural and clinical sectors around a shared One Health AMR agenda.
{"title":"The Botucatu Document: One health antifungal resistance policies — A call for action","authors":"Paulo Cezar Ceresini , Waldir Cintra de Jesus Junior , Ana Carolina Firmino , Bárbara Pereira Christofaro Silva , Danilo Tancler Stipp , Edson Luiz Furtado , Fábio Luiz Checchio Mingotte , Karine Assis Costa , Paulo Renato Matos Lopes , Rita Luiza Peruquetti","doi":"10.1016/j.onehlt.2026.101319","DOIUrl":"10.1016/j.onehlt.2026.101319","url":null,"abstract":"<div><div>Antifungal resistance in <em>Aspergillus fumigatus</em> and other environmental fungi represents a growing global threat to human health, driven in part by agricultural fungicide use. The scale of the threat is masked by inadequate multisector surveillance. In December 2025, the Brazilian Network Meeting on <em>Aspergillus fumigatus</em> Antimicrobial Resistance convened clinical, agricultural, environmental, and public-health experts to address these challenges using a One Health framework. Through a structured plenary deliberation, participants approved “<em>The Botucatu Document</em>: One Health Antifungal Resistance Policies — A Call for Action,” a unified Public Statement of Concern outlining governance principles and coordinated national actions for Brazil. The Statement reflects consensus across four Working Groups on clinical surveillance, environmental monitoring, fungicide regulation, and public health communication. Together, these directives call for independent AMR data collection, FAIR transparency, cross-sector governance, strengthened laboratory capacity, environmental aerobiome surveillance, new fungicide risk-assessment criteria, and comprehensive One Health communication strategies. This manuscript presents the full Public Statement as approved verbatim, situates it within global AMR policy frameworks, and highlights implications for Brazil's forthcoming National AMR Action Plan (2026–2031). The <em>Botucatu Document</em> represents a milestone in aligning agricultural and clinical sectors around a shared One Health AMR agenda.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101319"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926321","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 : 2026-06-01Epub Date: 2026-01-12DOI: 10.1016/j.onehlt.2026.101330
Claude Mambo Muvunyi , Pierre Gashema , Emmanuel Edwar Siddig , Jean de Dieu Harelimana , Jean Kaseya
{"title":"One health and community health workers: Bridging the gap in global health resilience","authors":"Claude Mambo Muvunyi , Pierre Gashema , Emmanuel Edwar Siddig , Jean de Dieu Harelimana , Jean Kaseya","doi":"10.1016/j.onehlt.2026.101330","DOIUrl":"10.1016/j.onehlt.2026.101330","url":null,"abstract":"","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101330"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977197","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 : 2026-06-01Epub Date: 2026-01-10DOI: 10.1016/j.onehlt.2026.101327
Chantal Tawfik , James R. Young , Syseng Khounsy , Phouvong Phommachanh , Peter Christensen , Watthana Theppangna , Tom Hughes , Jantana Wongsantichon , Stuart D. Blacksell , Michael P. Ward
Rickettsioses are emerging zoonotic diseases in Southeast Asia caused by vector-borne, intracellular Rickettsia bacteria that threaten public health, animal welfare, and food security. Despite their importance to rural livelihoods, the epidemiology of rickettsial exposure in livestock remains poorly understood. This study used abattoir-based serology to evaluate livestock as sentinels of environmental exposure to Rickettsia in Lao PDR and to identify spatial hotspots and risk factors for seropositivity. Abattoir-based serological data were generated from cattle, pigs, and water buffalo samples collected in 18 provinces between January 2022 and April 2023. The immunofluorescence assay was used to detect antibodies against three rickettsial antigens: Scrub Typhus Group (Orientia tsutsugamushi), Typhus Group (R. typhi), and Spotted Fever Group (R. conorii, R. honei). Samples with IgG titres ≥1:100 were considered positive. Of 821 samples tested, 32 were seropositive: 25 cattle (9.9%), seven pigs (2.4%), and none of the buffalo. Breed and age were significant predictors, with non-native breeds and animals under one year old more likely to be positive (p < 0.05). Spatial-temporal analysis revealed one significant cluster in cattle (p = 0.0056) in southern Laos. These results represent the first nationwide serological assessment of Rickettsia exposure in Lao livestock.
{"title":"Rickettsial seropositivity in Lao PDR smallholder livestock farms: Implications for animal and human health","authors":"Chantal Tawfik , James R. Young , Syseng Khounsy , Phouvong Phommachanh , Peter Christensen , Watthana Theppangna , Tom Hughes , Jantana Wongsantichon , Stuart D. Blacksell , Michael P. Ward","doi":"10.1016/j.onehlt.2026.101327","DOIUrl":"10.1016/j.onehlt.2026.101327","url":null,"abstract":"<div><div>Rickettsioses are emerging zoonotic diseases in Southeast Asia caused by vector-borne, intracellular <em>Rickettsia</em> bacteria that threaten public health, animal welfare, and food security. Despite their importance to rural livelihoods, the epidemiology of rickettsial exposure in livestock remains poorly understood. This study used abattoir-based serology to evaluate livestock as sentinels of environmental exposure to Rickettsia in Lao PDR and to identify spatial hotspots and risk factors for seropositivity. Abattoir-based serological data were generated from cattle, pigs, and water buffalo samples collected in 18 provinces between January 2022 and April 2023. The immunofluorescence assay was used to detect antibodies against three rickettsial antigens: Scrub Typhus Group (<em>Orientia tsutsugamushi</em>), Typhus Group (<em>R. typhi</em>), and Spotted Fever Group (<em>R. conorii</em>, <em>R. honei</em>). Samples with IgG titres ≥1:100 were considered positive. Of 821 samples tested, 32 were seropositive: 25 cattle (9.9%), seven pigs (2.4%), and none of the buffalo. Breed and age were significant predictors, with non-native breeds and animals under one year old more likely to be positive (<em>p</em> < 0.05). Spatial-temporal analysis revealed one significant cluster in cattle (<em>p</em> = 0.0056) in southern Laos. These results represent the first nationwide serological assessment of Rickettsia exposure in Lao livestock.</div></div>","PeriodicalId":19577,"journal":{"name":"One Health","volume":"22 ","pages":"Article 101327"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977281","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}
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