Ecohealth最新文献

{"title":"Ecological Niche and Potential Geographic Distribution of Aedes aegypti and Aedes albopictus in Northeast Argentina.","authors":"Mía Elisa Martín, Marina Stein, Florencia Sangermano, Elizabet Lilia Estallo","doi":"10.1007/s10393-025-01721-1","DOIUrl":"10.1007/s10393-025-01721-1","url":null,"abstract":"<p><p>Aedes aegypti and Aedes albopictus are the primary vectors of arboviruses in Argentina, with increasing importance in Northeastern Argentina (NEA). This study used ecological niche modeling (MaxEnt) to estimate the potential geographic distribution of both species in NEA, integrating bioclimatic, land cover, and sociodemographic variables such as population density and urban accessibility. Occurrence data were compiled from global databases and literature, and model calibration was based on variable selection, spatial filtering, and cross-validation. Results indicate a broader potential distribution for Ae. albopictus compared to Ae. aegypti, particularly in under-sampled areas of Misiones and Corrientes. Urban accessibility emerged as the most influential predictor for both species, with models combining environmental and sociodemographic variables outperforming climate-only models (AUC > 0.84). Binary habitat suitability maps showed marked differences between models, underscoring the importance of human-driven factors. These findings support the use of integrative modeling approaches to better anticipate vector expansion and prioritize surveillance. The study provides critical information to guide vector control programs and reduce the risk of arbovirus transmission, especially in densely populated and highly connected areas.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":"373-386"},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating Artificial Intelligence in Environmental Monitoring: A Paradigm Shift in Data-Driven Sustainability.","authors":"Ufondu Maryann Afoma, Shilpy Singh, Abhishek Kumar Mishra, Chetan Kumar Sharma, Kashish Gupta, Manoj Kumar Mishra, Biswajit Roy, Ved Vrat Verma, Varun Kumar Sharma","doi":"10.1007/s10393-025-01752-8","DOIUrl":"https://doi.org/10.1007/s10393-025-01752-8","url":null,"abstract":"<p><p>Environmental monitoring is essential for understanding and minimizing human impact on ecosystems. Traditional methods like manual sampling and laboratory testing, while accurate, are often costly, time-consuming, and difficult to scale, especially in low-resource settings. Artificial intelligence (AI) is increasingly addressing these limitations by enabling automated data collection, real-time analysis, and predictive modeling. Techniques such as machine learning (ML) and deep learning (DL) are being applied to monitor air and water quality, track climate patterns, and support biodiversity efforts. Hybrid AI models further improve accuracy by integrating various analytical approaches. Key applications include species identification, habitat assessment, wildlife tracking, and anti-poaching, utilizing tools such as drone imagery, camera traps, and GPS data. This review explores the latest advancements in AI-based environmental monitoring, emphasizing technologies like explainable AI (XAI), edge computing, and the Internet of Things (IoT), which improve transparency and reduce processing costs. It also addresses ongoing challenges, including data quality, computational demands, and the need for interpretable models. By evaluating practical limitations and proposing interdisciplinary strategies, this article highlights the transformative potential of AI for sustainable environmental management. Successful implementation will depend on ethical frameworks, policy alignment, and cross-sector collaboration to fully realize AI's role in global ecological stewardship.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144977665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dengue Virus Neutralizing Antibodies in Bats from the Yungas Rainforest, Argentina.","authors":"Kevin A Rucci, Ignacio Ferro, M Cecilia Castilla, Alejandro A Schaaf, Javier Aguilar, Adrián A Farias, José H Urquizo, Agustina Murgia, Lorena Spinsanti, Adrián Diaz","doi":"10.1007/s10393-025-01751-9","DOIUrl":"https://doi.org/10.1007/s10393-025-01751-9","url":null,"abstract":"<p><p>This study explores the exposure of sylvatic bats to dengue virus (DENV) by detecting neutralizing antibodies against the virus in the Argentinean Yungas. Blood samples from 143 bats were tested using PRNT, revealing DENV-1 antibodies in three individuals (Sturnira lilium, S. erythromos, Artibeus planirostris) from sylvatic habitats of Jujuy. Presence of DENV-1 antibodies in sylvatic bats suggests potential exposure to the virus in wild areas, indicating the potential endemicity of DENV in subtropical areas of Argentina. Further research is needed to understand the mechanism through which DENV has potentially established in wild areas of Argentina and the role of bats as host for DENV.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144977685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Prevalence and Diversity of Alphacoronaviruses in Bats in Southern France.","authors":"Océane Rieu, Anaïs Dufau, Jordan Meliani, Lionel Brazier, Marion Vittecoq, Carole Leray, Anthony Olivier, Emmanuel Cosson, Frédéric Thomas, Eric Leroy, Illich Mombo","doi":"10.1007/s10393-025-01746-6","DOIUrl":"https://doi.org/10.1007/s10393-025-01746-6","url":null,"abstract":"<p><p>Zoonotic diseases are increasingly affecting global health, making it crucial to understand viral dynamics in wildlife reservoirs like bats. Bats are well-established coronavirus reservoirs, and their proximity to human habitats in France raises concerns about zoonotic transmission. This study investigates the prevalence, diversity, and phylogenetic relationships of coronaviruses in bats from the Camargue and Eastern Provence, two ecologically distinct regions. A total of 785 bat guano samples were collected non-invasively, with 154 (19.6%) testing positive for coronavirus RNA, among the highest infection rates observed in European studies. Camargue samples were entirely from Pipistrellus bats, with a prevalence of 20.1%, while Provence showed greater genus diversity and prevalence ranging from 1.3% to 35.6%. Phylogenetic analysis identified Alphacoronaviruses in four subgenera: Nyctacovirus, Myotacovirus, Decacovirus, and Minunacovirus, alongside unclassified sequences. No coronavirus related to human-infecting strains (e.g., HCoV-229E) was detected. However, the combination of high prevalence, proximity to humans, and potential for host-switching led to the investigation of coronavirus infection in bats, a topic with limited data in France. These findings highlight the ecological role of bats and the importance of continuous viral monitoring, filling a gap in knowledge about coronavirus circulation in European bat populations.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144977712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Influence of Sustainability on COVID-19 Death Rates by State in the USA.","authors":"Lee Liu","doi":"10.1007/s10393-025-01737-7","DOIUrl":"https://doi.org/10.1007/s10393-025-01737-7","url":null,"abstract":"<p><p>This paper investigates the role that sustainability played in shaping interstate difference in pandemic outcomes among the 50 states of the USA, in terms of standardized death rate from COVID-19 and excess death rates. Political ideology is currently a popular possible explanation for discrepancies among states in pandemic outcomes, given that Republican states tended to have higher death rates compared to Democratic ones. Additionally, partisan politics have been criticized for hindering the US pandemic response, especially in the early stages of the pandemic. However, this study demonstrates that the Sustainable Development Goal (SDG) index may serve as a more significant predictor of the death and excess death rates among the US states than political affiliation. This suggests that it was not \"red\" or \"blue,\" but rather \"green\" that was the most important factor in determining COVID-19 mortality. Pandemic lessons are lessons of sustainability.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144977722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal Trends of Dengue in India (1990-2021): A Joinpoint and Age-Period-Cohort Analysis.","authors":"Meenu Mariya James, Bhabani Shankar Mohanty, Naveen Kumar Kodali, Praveen Balabaskaran Nina, Natarajan Gopalan, Sujit Kumar Behera","doi":"10.1007/s10393-025-01745-7","DOIUrl":"10.1007/s10393-025-01745-7","url":null,"abstract":"<p><p>Dengue is a neglected tropical disease with a huge disease burden globally. Even though previous studies have focused on socio-demographic and climatic predictors of dengue, the independent effects of age, period, and birth cohort have not been studied. Here, using data from the Global Burden of Disease Study 2021, a joinpoint regression analysis and an age-period-cohort model were applied to identify temporal trends in age-standardized incidence and mortality rates and to estimate the longitudinal age curves, the rate ratios of period and cohort effects, the net drift, and the local drift values of dengue incidence and mortality in India, respectively. Dengue incidence and mortality trends in India showed a significant increase from 1990 to 2021. The average annual percent change (AAPC) of age-standardized incidence (AAPC: 1.39; 95% CI: 1.34, 1.44) and mortality (AAPC: 1.65; 95% CI: 1.23, 2.08) increased significantly over the study period. The Error, Trend, and Seasonality model forecasts a rise in cases from 28.86 million in 2020 to 32.06 million, while the ARIMA model projects an increase from 28.95 million to 33.43 million by 2031. The age-standardized rates of incidence, mortality, age, period, and cohort effects of dengue incidence and mortality in India show an increasing trend in all age groups from 1990 to 2021 in both sexes. The findings underscore the need for enhanced dengue prevention and control strategies in India.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144876692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Hygiene and Biosecurity Practices of Wet Market Stalls in Punjab (India).","authors":"Kriti Singh, R S Aulakh, J S Bedi, Pankaj Dhaka","doi":"10.1007/s10393-025-01747-5","DOIUrl":"https://doi.org/10.1007/s10393-025-01747-5","url":null,"abstract":"<p><p>Wet markets have been implicated in the outbreak of recent pandemics like Severe Acute Respiratory Syndrome (SARS), H5N1 avian influenza, and most recently, COVID-19. In view of the wet markets as a potential source of spillover, our study aimed to assess hygiene, sanitation, and biosecurity practices in wet markets across Punjab, a state in India. A total of 60 wet market stalls from three different regions of Punjab were subjected to analysis through participatory and observational survey using 45 questions covering 12 parameters. A quantitative assessment scoring system was developed as per the guidelines of World Health Organization (WHO) which was used to evaluate the wet market stalls. Among the 60 wet market stalls that were assessed, 13 (21.67%) of them were categorized as having poor hygiene, sanitation and biosecurity practices. 39 (65%) stalls were classified as having moderate practices, and 8 (13.33%) stalls were observed to follow good hygiene and biosecurity measures. None of the stalls were found to have excellent practices, emphasizing the need for continuous efforts to elevate hygiene and biosecurity standards in these wet markets. Educational campaigns and agency coordination, such as with Food Safety and Standards Authority of India (FSSAI) and municipal bodies, are essential for licensing wet market stalls. Emphasizing cleanliness, protective gear provision, and zoning can improve hygiene and reduce disease risks, protecting public health.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Qualitative Analysis of Human-Animal Interactions with Respect to Zoonoses in Nepal.","authors":"Anna Durrance-Bagale, Hari Basnet, Nanda Bahadur Singh, Steven R Belmain, James W Rudge, Natasha Howard","doi":"10.1007/s10393-025-01750-w","DOIUrl":"https://doi.org/10.1007/s10393-025-01750-w","url":null,"abstract":"<p><p>Infectious diseases of zoonotic origin are a serious threat to human health and livelihoods globally. Habitat encroachment and deforestation bring humans and animals into contact, increase potential for disease spread, and foster human-animal conflict. Our aim, using thematic analysis, was to qualitatively examine the zoonotic disease landscape in Nepal from public, policymaker, and healthcare practitioner perspectives, and to describe key human-animal interactions. Community participants at six sites were interviewed or took part in focus groups (n = 73); 20 healthcare practitioner and policymaker representatives were interviewed. Lack of data complicates understanding of the zoonotic disease landscape in Nepal and limits evidence-informed policymaking. Some participants were aware of the potential significance of Nipah virus in Nepal, but insufficient data precluded planning for potential outbreaks. Drivers of some zoonoses, such as leptospirosis, may be difficult to address as they are related to traditional practices, such as consumption of rodents or barefoot paddy planting. Community participants identified rodents as frequently responsible for human-animal conflict in both rural and urban areas. Most participant photographs included evidence of rodent damage or mitigation against rodents. Habitat encroachment and deforestation have increased wild animal sightings and may increase contact between these and domestic animals, and humans. Although community participants reported no longer killing and eating wild animals, some health/policy participants questioned whether communities adhere to relevant regulations. This underlines the importance of involving communities in culturally appropriate policy development and implementation. To strengthen policymaking around zoonotic disease prevention and human-animal conflict, with the aim of reducing spread of zoonoses, we recommend public engagement between affected communities, healthcare practitioners, and policymakers to agree priorities (e.g. rodent damage and potential mitigation); and further research on effects of anthropogenic environmental changes in conjunction with members of communities most likely to be affected by increased contact with wild animals.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficiency Analysis Based on Two-Stage Undesirable Dynamic SBM Model.","authors":"Sin Lee, Yung-Ho Chiu","doi":"10.1007/s10393-025-01741-x","DOIUrl":"https://doi.org/10.1007/s10393-025-01741-x","url":null,"abstract":"<p><p>In previous studies exploring the causes of lung cancer, smoking has long been recognized as the primary risk factor, while the impact of air pollution has been relatively overlooked. This is particularly true in Asia, where efficiency evaluation studies examining the relationship between industrial and transportation-related pollution and lung cancer remain limited. Moreover, existing literature often relies on static or single-stage models, with limited integration of dynamic and multi-stage approaches to capture the complex interactions between pollution and health outcomes. This study is the first to apply a Two-stage Undesirable Dynamic SBM model to analyze the efficiency relationship between air pollution and lung cancer, using 22 counties and cities in Taiwan as DMUs. It systematically evaluates the \"production and environment efficiency\" in the first stage and the \"life health and well-being efficiency\" in the second stage. By addressing a significant gap in Asian research on pollution-related lung cancer efficiency, this study also develops an analytical framework with high relevance for policy applications. The model provides robust empirical evidence to support government initiatives in promoting precision health and sustainable development goals (SDG 3 and SDG 11).</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatioseasonal Comparison of Fecal Resistome and Pathogenome of Raccoon Dogs in Korea.","authors":"Priyanka Kumari, Binu M Tripathi, Kyung Yeon Eo, Junpei Kimura, Naomichi Yamamoto","doi":"10.1007/s10393-025-01744-8","DOIUrl":"https://doi.org/10.1007/s10393-025-01744-8","url":null,"abstract":"<p><p>The raccoon dog (Nyctereutes procyonoides) is a medium-sized omnivore native to Asia. Because they live close to human habitation, and therefore, there is likely bidirectional influence between raccoon dogs and humans, it is important to investigate their potential risks. Here, to identify potential risks of carriage of antimicrobial resistance (AMR) and human pathogens by raccoon dogs, we investigated spatioseasonal patterns of fecal resistome (collection of antimicrobial resistance genes: ARGs), pathogenome (collection of virulence factor genes: VFGs), and microbiome (collection of bacterial species) of raccoon dogs inhabiting an urban forest area and a rural rice paddy area in Korea. Metagenomic sequencing revealed that the compositions of fecal resistome, pathogenome, and microbiome were all patterned by season, and we hypothesize that the observed patterns are due to seasonal changes in the diet of omnivorous raccoon dogs. Furthermore, although less pronounced than the seasonal differences, we also observed the geographical differences in the resistome, with aminoglycoside resistance genes being more prevalent in the rural area, which may reflect the geographical difference in selective pressures for AMR emergence, such as the use of manure that may contain antimicrobials in rice cultivation in agricultural areas. Additionally, our network analysis revealed that specific antimicrobial resistance genes were linked to specific bacterial pathogens, e.g., tetA-P to Clostridium. Overall, our study successfully revealed for the first time that not only the microbiome, but also the resistome and pathogenome of wild animals change spatioseasonally, and that the risk of AMR in bacterial pathogens laden by raccoon dogs is spatioseasonal.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}