Science in One Health最新文献

{"title":"Identification of habitat suitability for the dominant zoonotic tick species Haemaphysalis flava on Chongming Island, China","authors":"Si-Wei Fei ,&nbsp;Han-Qing Zhao ,&nbsp;Jing-Xian Yin ,&nbsp;Zhi-Shan Sun ,&nbsp;Jing-Bo Xue ,&nbsp;Shan Lv ,&nbsp;Xin-Yu Feng ,&nbsp;Xiao-Kui Guo ,&nbsp;Xiao-Nong Zhou ,&nbsp;Kokouvi Kassegne","doi":"10.1016/j.soh.2024.100068","DOIUrl":"10.1016/j.soh.2024.100068","url":null,"abstract":"<div><p><em>Haemaphysalis</em> ticks are pathogenic vectors that threaten human and animal health and were identified in Chongming, the third largest island in China. To understand the distribution of these ticks and determine their potential invasion risk, this study aimed to identify the habitat suitability of the dominant tick <em>H.</em> <em>flava</em> based on natural environmental factors. Geographic information system (GIS) images were combined with sample points from tick investigations to map the spatial distribution of <em>H</em>. <em>flava</em>. Data on 19 bioclimatic variables, environmental variables, and satellite-based landscapes of Chongming Island were retrieved to create a landcover map related to natural environmental determinants of <em>H. flava</em>. These data included 38 sites associated with the vectors to construct species distribution models with MaxEnt, a model based on the maximum entropy principle, and to predict habitat suitability for <em>H. flava</em> on Chongming Island in 2050 and 2070 under different climate scenarios. The model performed well in predicting the <em>H</em>. <em>flava</em> distribution, with a training area under the curve of 0.84 and a test area under the curve of 0.73. A habitat suitability map of the whole study area was created for <em>H. flava</em>. The resulting map and natural environment analysis highlighted the importance of the normalized difference vegetation index and precipitation in the driest month for the bioecology of <em>H. flava</em>, with 141.61 km² (11.77%), 282.94 km² (23.35%), and 405.30 km² (33.69%) of highly, moderately, and poorly suitable habitats, respectively. The distribution decreased by 135.55 km² and 138.82 km² in 2050 and 2070, respectively, under the shared socioeconomic pathway (SSP) 1.2.6 climate change scenario. However, under SSP 5.8.5, the total area will decrease by 128.5 km² in 2050 and increase by 151.64 km² in 2070. From a One Health perspective, this study provides good knowledge that will guide tick control efforts to prevent the spread of <em>Haemaphysalis</em> ticks or transmission risk of <em>Haemaphysalis</em>-borne infections at the human-animal-environment interface on the island.</p></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100068"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949704324000076/pdfft?md5=8b34b24add0922b577a1acd13c617705&pid=1-s2.0-S2949704324000076-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140774165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"One Health as a potential platform to rescue the neglected fruit trees in Yucatan, Mexico","authors":"John P. Ehrenberg ,&nbsp;Afona Chernet ,&nbsp;Manuel Luján ,&nbsp;Jürg Utzinger","doi":"10.1016/j.soh.2024.100073","DOIUrl":"10.1016/j.soh.2024.100073","url":null,"abstract":"<div><p>Neglected and underutilized species of plants (NUS) have been identified by the Food and Agriculture Organization as valuable resources for fighting poverty, hunger and malnutrition as they can help make agricultural production systems more sustainable and resilient. Adaptation of NUS to changing environments over several millennia has rendered most of these plants resistant to pests and climate change. In this paper, we explore the potential values of some of the Mayan fruit trees justifying conservation efforts in their native habitats. Our research was primarily based on a scoping review using Google Scholar. We considered articles published in English, Spanish and Portuguese. Our review rendered two sets of articles including those focusing on the nutritional and medicinal properties of NUS and their products, and those focusing on their uses in traditional medicine. Both sets of papers strongly support arguments for conservation of NUS. Additionally, our scoping review expands and includes a case study on the conservation of NUS, highlighting the critical role of civil society on how it can spearhead rescue efforts of botanical resources through the creation of what is possibly the first arboretum of its kind in the Americas. Among the project's key selling points was not only the rescue of an important component of Yucatan's cultural heritage but its nutritional value as well as its potential medicinal properties. Our paper is not prescriptive on how to preserve or even commercially exploit NUS. It is intended as a thought-provoking piece on the potential of a One Health approach as a multisectoral platform to support conservation efforts, while stimulating greater interest in the subject and encouraging more action from the academic and pharmaceutical sectors as well as civil society.</p></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100073"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S294970432400012X/pdfft?md5=759c9a6b266c57c1159f6f8028cd04ed&pid=1-s2.0-S294970432400012X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Building a pathway to One Health surveillance and response in Asian countries","authors":"Roger Morris ,&nbsp;Shiyong Wang","doi":"10.1016/j.soh.2024.100067","DOIUrl":"https://doi.org/10.1016/j.soh.2024.100067","url":null,"abstract":"<div><p>To detect and respond to emerging diseases more effectively, an integrated surveillance strategy needs to be applied to both human and animal health. Current programs in Asian countries operate separately for the two sectors and are principally concerned with detection of events that represent a short-term disease threat. It is not realistic to either invest only in efforts to detect emerging diseases, or to rely solely on event-based surveillance. A comprehensive strategy is needed, concurrently investigating and managing endemic zoonoses, studying evolving diseases which change their character and importance due to influences such as demographic and climatic change, and enhancing understanding of factors which are likely to influence the emergence of new pathogens. This requires utilisation of additional investigation tools that have become available in recent years but are not yet being used to full effect. As yet there is no fully formed blueprint that can be applied in Asian countries. Hence a three-step pathway is proposed to move towards the goal of comprehensive One Health disease surveillance and response.</p></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100067"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949704324000064/pdfft?md5=5eca3e83f38c77e84bc3c14a7dfe8f64&pid=1-s2.0-S2949704324000064-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140618553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic integration of climate change and zoonotic diseases by artificial intelligence: a holistic approach for sustainable solutions","authors":"Robert Bergquist,&nbsp;Jin-Xin Zheng,&nbsp;Xiao-Nong Zhou","doi":"10.1016/j.soh.2024.100070","DOIUrl":"10.1016/j.soh.2024.100070","url":null,"abstract":"<div><p>Artificial intelligence (AI) is a rapidly evolving field that can impel research in communicable diseases with respect to climate projections, ecological indicators and environmental impact, at the same time revealing new, previously overlooked events. A number of zoonotic and vector-borne diseases already show signs of expanding their northern geographical ranges and appropriate risk assessment and decision support are urgently needed. The deployment of AI-enabled monitoring systems tracking animal populations and environmental changes is of immense potential in the study of transmission under different climate scenarios. In addition, AI's capability to identify new treatments should not only accelerate drug and vaccine discovery but also help predicting their effectiveness, while its contribution to genetic pathogen speciation would assist the evaluation of spillover risks with regard to viral infections from animals to human. Close collaboration between AI experts, epidemiologists and other stakeholders is not only crucial for responding to challenges interconnected with a variety of variables effectively, but also necessary to warrant responsible AI use. Despite its wider successful implementation in many fields, AI should be seen as a complement to, rather than a replacement of, traditional public health measures.</p></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100070"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S294970432400009X/pdfft?md5=689ec2d806350319b921e318885a951a&pid=1-s2.0-S294970432400009X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141135260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing One Health education: integrative pedagogical approaches and their impacts on interdisciplinary learning","authors":"Chang Cai ,&nbsp;Yong-Sam Jung ,&nbsp;Richard Van Vleck Pereira ,&nbsp;Michael S.M. Brouwer ,&nbsp;Junxia Song ,&nbsp;Bennie Irve Osburn ,&nbsp;Joanna McKenzie ,&nbsp;Wim H.M. van der Poel ,&nbsp;Yingjuan Qian","doi":"10.1016/j.soh.2024.100079","DOIUrl":"10.1016/j.soh.2024.100079","url":null,"abstract":"<div><div>One Health is an integrative approach that emphasizes the interconnectedness of human, animal, and environmental health, advocating for collaborative, multidisciplinary efforts to address health challenges, particularly amid globalization and emerging threats. This paper examines the integration of One Health principles into global health education, highlighting the importance of interdisciplinary collaboration and innovative pedagogical approaches. It evaluates various teaching methods, including problem-based learning (PBL), team-based learning (TBL), simulation-based education (SBE), case-based learning (CBL), interdisciplinary workshops and seminars (IWS), and service-learning (SL), analyzing their strengths and weaknesses in fostering interdisciplinary understanding and practical application of One Health concepts. While these methods enhance learning by promoting critical thinking, collaboration, and real-world application, they also face challenges such as resource constraints, variability in group dynamics, and the complexity of assessing long-term learning outcomes. The paper also discusses the role of global partnerships, such as the Global One Health Research Partnership (GOHRP), in advancing One Health education through collaborative research and educational initiatives. Addressing challenges in curriculum integration and interdisciplinary collaboration is crucial for the effective implementation of One Health education, ensuring that future health professionals are equipped to tackle complex global health challenges.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases","authors":"Li Zhang,&nbsp;Wenqiang Guo,&nbsp;Chenrui Lv","doi":"10.1016/j.soh.2023.100061","DOIUrl":"10.1016/j.soh.2023.100061","url":null,"abstract":"<div><h3>Background</h3><p>Zoonotic diseases originating in animals pose a significant threat to global public health. Recent outbreaks, such as coronavirus disease 2019 (COVID-19), have caused widespread illness, death, and socioeconomic disruptions worldwide. To cope with these diseases effectively, it is crucial to strengthen surveillance capabilities and establish rapid response systems.</p></div><div><h3>Aim</h3><p>The aim of this review to examine the modern technologies and solutions that have the potential to enhance zoonotic disease surveillance and outbreak responses and provide valuable insights into how cutting-edge innovations could be leveraged to prevent, detect, and control emerging zoonotic disease outbreaks. Herein, we discuss advanced tools including big data analytics, artificial intelligence, the Internet of Things, geographic information systems, remote sensing, molecular diagnostics, point-of-care testing, telemedicine, digital contact tracing, and early warning systems.</p></div><div><h3>Results</h3><p>These technologies enable real-time monitoring, the prediction of outbreak risks, early anomaly detection, rapid diagnosis, and targeted interventions during outbreaks. When integrated through collaborative partnerships, these strategies can significantly improve the speed and effectiveness of zoonotic disease control. However, several challenges persist, particularly in resource-limited settings, such as infrastructure limitations, costs, data integration and training requirements, and ethical implementation.</p></div><div><h3>Conclusion</h3><p>With strategic planning and coordinated efforts, modern technologies and solutions offer immense potential to bolster surveillance and outbreak responses, and serve as a critical resource against emerging zoonotic disease threats worldwide.</p></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949704323000550/pdfft?md5=082e39eacd6558811257deeac1b0a67d&pid=1-s2.0-S2949704323000550-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139026618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microbiome One Health model for a healthy ecosystem","authors":"Antonietta Tomasulo ,&nbsp;Barbara Simionati ,&nbsp;Sonia Facchin","doi":"10.1016/j.soh.2024.100065","DOIUrl":"10.1016/j.soh.2024.100065","url":null,"abstract":"<div><p>The attention on microbiome research and its translation to application deployment is escalating along with diffused hype. There is real excitement in this new science, leveraging the growing potential of advances in molecular biology and sequencing techniques. Yet, despite the substantial efforts provided by the scientific communities, the true significance of research achievements requires coordinated and constructive actions across interdisciplinary fields. Individual researchers, universities, small and large companies, venture capitalists, and governments play a fundamental role in fostering collaboration and promoting knowledge that will benefit each other and sustain global prosperity. Making meaningful connections across different fields and getting a new perspective on how technological developments interrelate are the main drivers for creativity and progress.</p><p>To help the broader innovation community focus on potentially new cross-sectorial developments, the One Health-microbiome-centric approach, defined here as “<em>Microbiome One Health</em><em>”</em><em>,</em> is considered as the efficient, holistic approach to product and service exploitations meant to preserve human well-being within a healthy ecosystem. The model opposes the biomedical system and generalizes the “One World-One Health ™” concept. The focus will be given to Nutrition as a driver of health and the food system for its commercial exploitation microbiome-centric, specifically at the interface of human/animal/agricultural. Remarkably, at the interface of humans/animals, the interaction with pets, specifically dogs, has been recognized as a driving force of novel microbiome exploitation.</p></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100065"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949704324000040/pdfft?md5=dea8d019d70c4548c52159fb6dec8bfa&pid=1-s2.0-S2949704324000040-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140406650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A bibliometric analysis of One Health approach in research on antimicrobial resistance","authors":"Zheyi Fang ,&nbsp;Shiyi Tu ,&nbsp;Jiayan Huang","doi":"10.1016/j.soh.2024.100077","DOIUrl":"10.1016/j.soh.2024.100077","url":null,"abstract":"<div><h3>Background</h3><p>Antimicrobial resistance (AMR) is a global public health threat that requires actions through One Health intervention. This study aims to trace the historical development of One Health research on AMR to provide evidence supporting future research and actions.</p></div><div><h3>Methods</h3><p>A bibliometric analysis is conducted with One Health articles in the field of antimicrobial resistance (AMR-OH articles) retrieved from the Web of Science Core Collection (WoSCC). AMR-OH articles refer to articles in the field of AMR that simultaneously involve elements from human health and at least one other domain, including animals, environment, or plants. Three research periods were identified based on the development of global actions in combating AMR. Descriptive analysis of publications, keyword cluster analysis, annual trending topic analysis, and co-authorship analysis were conducted using R software, <em>V</em><em>OSV</em><em>iewer</em>, and <em>Pajek</em>.</p></div><div><h3>Results</h3><p>The results indicated that the percentage of AMR-OH articles among all AMR articles increased from 5.21% in 1990 to 20.01% in 2023. Key topics in the current AMR-OH articles included the mechanism of AMR, AMR epidemiology, and public health control strategies. Epidemiological research initially focused on human and animal health and then shifted to environmental factors in the third period. Research at the molecular level focused on the mechanisms of AMR transmission in various domains, along with the dynamics and diversity of antibiotic resistance genes (ARGs). The co-authorship analysis suggested a significant increase in cooperation among low- and middle-income countries in the third period.</p></div><div><h3>Conclusion</h3><p>The scope of epidemiological research on AMR has expanded by including human, animal, and environmental areas. Moreover, genetic and molecular level research represents the forefront of this field, offering innovative tools to combat AMR in the future. This study suggests further research to translate existing findings into practical implementation of the One Health strategy, and to support globally consistent action in combating AMR.</p></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100077"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949704324000167/pdfft?md5=2a35734a2925e2e0fda0ac9afddcdb69&pid=1-s2.0-S2949704324000167-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global, regional, and national burden of upper respiratory infections, 1990–2021: Findings from the Global Burden of Disease study 2021","authors":"Shun-Xian Zhang ,&nbsp;Yu-Juan Liu ,&nbsp;En-Li Tan ,&nbsp;Guo-Bing Yang ,&nbsp;Yu Wang ,&nbsp;Xiao-Jie Hu ,&nbsp;Ming-Zi Li ,&nbsp;Lei Duan ,&nbsp;Shan Lv ,&nbsp;Li-Guang Tian ,&nbsp;Mu-Xin Chen ,&nbsp;Fan-Na Wei ,&nbsp;Qin Liu ,&nbsp;Yan Lu ,&nbsp;Shi-Zhu Li ,&nbsp;Pin Yang ,&nbsp;Jin-Xin Zheng","doi":"10.1016/j.soh.2024.100084","DOIUrl":"10.1016/j.soh.2024.100084","url":null,"abstract":"<div><h3>Background</h3><div>Upper respiratory infections (URIs) are common infectious diseases worldwide. Accurate and timely assessment of the disease burden of URIs is crucial for governments to develop comprehensive prevention and control strategies, and to allocate and utilize healthcare resources more efficiently.</div></div><div><h3>Methods</h3><div>For URIs in Global Burden of Disease (GBD) 2021 database, age-standardized incidence rates (ASIR), age-standardized prevalence rates (ASPR), age-standardized mortality rates (ASMR), disability-adjusted life-years (DALYs), and case numbers for incidence, prevalence, deaths, and DALYs across the globe, five socio-demographic index (SDI) regions, 21 geographical regions, and 204 countries and territories were provided and analyzed. Trends from 1990 to 2021 were described using the average annual percentage change (AAPC), and future URIs burden was projected with a Bayesian age-period-cohort (BAPC) model.</div></div><div><h3>Results</h3><div>From 1990 to 2021, there was a significant decline in global ASIR (APCC = −289.86, 95% confidence interval [<em>CI</em>]: −298.59 to −281.12), ASPR (AAPC = −4.04, 95% <em>CI</em>: −4.16 to −3.92), ASMR (AAPC = −0.02, 95 % <em>CI</em>: −0.02 to −0.03) and age-standardized DALY rate (AAPC = −0.75, 95% <em>CI</em>: −0.76 to −0.74). The ASIR, ASPR, ASMR, and age-standardized DALY rate were high in elderly for both males and females, and both genders. Similarly, the number of incident cases, prevalence cases, deaths, and DALY cases for URIs was highest in children under five years. The ASMR and age-standardized DALY rate exhibited a negative correlation with SDI across 204 countries and territories in 2021. The ASIR and ASPR for URIs will show an upward trend from 2022 to 2050, while ASMR and age-standardized DALY rate are expected to decline. Low birth weight for gestation remains the leading contributor to deaths related to URIs.</div></div><div><h3>Conclusion</h3><div>Despite the global decline in URIs burden, significant challenges remain among the elderly population. These findings support the optimization and implementation of public health policies, including targeted vaccination and integrated One Health approaches to reduce the burden in high-risk populations.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100084"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"One Health approaches to tackling antimicrobial resistance","authors":"M.E.J. Woolhouse","doi":"10.1016/j.soh.2024.100082","DOIUrl":"10.1016/j.soh.2024.100082","url":null,"abstract":"<div><div>Antimicrobial resistance (AMR) is a significant and growing threat to human health. A recent United Nations General Assembly declaration highlights that those in need must have sustained access to effective treatments. In the absence of a reliable supply of new drugs, pressure on existing drugs can be reduced by minimising demand. Routes to reducing demand include: promotion of WASH (access to clean water, sanitation and hygiene) and Universal Health Coverage (UHC); improved infection control in health care settings; and continued efforts to curtail drug use in agriculture. This is a One Health strategy, requiring coordinated action across the human, livestock and environmental sectors.</div></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":"3 ","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}