[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5039":3,"related-5039":56},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":51,"slug":54,"view_count":22,"doi":8,"paper":8,"created_at":55},5039,"中国农科院哈尔滨兽医所揭示非洲猪瘟病毒与宿主\"攻防\"新发现","https:\u002F\u002Fwww.caas.cn\u002F?id=99\u002F","中国农业科学院哈尔滨兽医研究所猪烈性传染病创新团队揭示内质网自噬如何抑制非洲猪瘟病毒衣壳组装,以及病毒如何\"反击\"。研究阐明宿主细胞利用自噬机制对抗ASFV衣壳组装的细节,为非洲猪瘟疫苗与抗病毒策略研发提供新靶点。相关成果揭示病毒与宿主之间的精细\"攻防\"博弈,推动非洲猪瘟防控关键技术储备。",null,"[人民日报头版头条]力度更大 “四个面向”为基础研究划重点（总书记的关切·落地的回响）\n\n7月10日，海南商业航天发射场，长征十号乙运载火箭首飞成功，我国运载火箭首次实现可控回收。中国航天一次次创造历史，离不开材料制备、流体动力、空间物理等方面的基础研究突破。","中国农业科学院哈尔滨兽医研究所 2026年10月12日","2026-10-12T00:00:00Z","报道",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,18,16,15,6,1,"国家级科研机构关于非洲猪瘟病毒与宿主互作机制的新发现，专业性强、信源权威，对动物疫病防控有参考价值，但发布已过数日且属基础研究，时效与产业影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"动物疫病防控","非洲猪瘟","基础研究","兽医科技","病毒与宿主互作",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"C5","animal-health","疫病防控与兽药","\u002Ftopic\u002Flivestock\u002Fanimal-health","C",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":50},13,true,[28],[28],[27,28],[52,53],"哈尔滨兽医所 非洲猪瘟 内质网自噬","非洲猪瘟病毒 衣壳 宿主互作","哈尔滨兽医所非洲猪瘟内质网自噬-5039","2026-10-16T00:13:11.082877Z",{"total":21,"page":22,"page_size":21,"items":57},[58,89,123,194,286,365],{"id":59,"title":60,"url":61,"summary":62,"summary_zh":8,"content":63,"source_name":64,"source_url":8,"published_at":65,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":66,"score_detail":67,"sources":69,"tags":71,"primary_topic":74,"secondary_topics":75,"classification":76,"search_phrases":83,"slug":86,"view_count":87,"doi":8,"paper":8,"created_at":88},5338,"中国农科院哈尔滨兽医所揭示非洲猪瘟病毒与宿主攻防机制 Advanced Science","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572939.shtm","中国农业科学院哈尔滨兽医研究所猪烈性传染病创新团队揭示了内质网自噬如何抑制非洲猪瘟病毒衣壳组装以及病毒如何反击的分子机制,相关研究成果发表在 Advanced Science 上。研究通过体内外实验发现,这种关键受体介导的内质网自噬能够降解非洲猪瘟病毒的衣壳蛋白,抑制衣壳组装;作为逃逸策略,非洲猪瘟病毒通过分子模拟劫持细胞自噬系统反过来降解该受体。该研究为开发新型抗病毒制剂提供了新靶标,论文 DOI: 10.1002\u002Fadvs.77741。","[![Image 1: 科学网新闻频道](https:\u002F\u002Fnews.sciencenet.cn\u002Fimages\u002Fnews.jpg)](https:\u002F\u002Fnews.sciencenet.cn\u002F)\n\n[生命科学](https:\u002F\u002Fwww.sciencenet.cn\u002Flife\u002F) | [医学科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fmedicine\u002F) | [化学科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fchemistry\u002F) | [工程材料](https:\u002F\u002Fwww.sciencenet.cn\u002Fmaterial\u002F) | [信息科学](https:\u002F\u002Fwww.sciencenet.cn\u002Finformation\u002F) | [地球科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fearth\u002F) | [数理科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fmathematics\u002F) | [管理综合](https:\u002F\u002Fwww.sciencenet.cn\u002Fpolicy\u002F)[站内规定](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog-45-1064777.html) | [手机版](https:\u002F\u002Fwap.sciencenet.cn\u002F)\n\n[首页](https:\u002F\u002Fwww.sciencenet.cn\u002F) | [新闻](https:\u002F\u002Fnews.sciencenet.cn\u002F) | [博客](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog.php) | [院士](https:\u002F\u002Fnews.sciencenet.cn\u002Fys\u002F) | [人才](https:\u002F\u002Ftalent.sciencenet.cn\u002F) | [会议](https:\u002F\u002Fmeeting.sciencenet.cn\u002F) | [基金·项目](https:\u002F\u002Ffund.sciencenet.cn\u002F) | [论文](https:\u002F\u002Fpaper.sciencenet.cn\u002F) | [绘图](https:\u002F\u002Fvisual-web.sciencenet.cn\u002F) | [视频·直播](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog.php?mod=video) | [小柯机器人](https:\u002F\u002Fpaper.sciencenet.cn\u002FAInews) | [医学科普](https:\u002F\u002Fyxkp.sciencenet.cn\u002F)\n\n作者：李晨,邓彦莉 来源：中国科学报 发布时间：2026\u002F10\u002F15 11:58:32 选择字号：小 中 大 研究揭示非洲猪瘟病毒与宿主“攻防”机制 近日，中国农业科学院哈尔滨兽医研究所猪烈性传染病创新团队揭示了内质网自噬如何抑制非洲猪瘟病毒衣壳组装，以及病毒如何“反击”的分子机制。相关研究成果发表在《先进科学》（_**Advanced Science**_）上。 内质网如同蛋白质的生产“车间”。当受损或多余蛋白质出现时，细胞会启动内质网自噬进行清理，这一过程由关键受体分子负责。 该研究通过体内外实验发现，这种关键受体介导的内质网自噬能够降解非洲猪瘟病毒的衣壳蛋白，抑制衣壳组装，从而发挥抗病毒功能。作为逃逸策略，非洲猪瘟病毒则通过“分子模拟”劫持细胞自噬系统，反过来降解该受体，从而拮抗其抗病毒功能。 该研究为拓展非洲猪瘟病毒与宿主相互博弈的认知及开发新型抗病毒制剂提供了新靶标。研究得到国家自然科学基金、黑龙江省自然科学基金和中国农业科学院青年创新专项等项目支持。 相关论文信息：https:\u002F\u002Fdoi.org\u002F10.1002\u002Fadvs.77741 版权声明：凡本网注明“来源：中国科学报、科学网、科学新闻杂志”的所有作品，网站转载，请在正文上方注明来源和作者，且不得对内容作实质性改动；微信公众号、头条号等新媒体平台，转载请联系授权。邮箱：shouquan@stimes.cn。\n\n打印 发E-mail给：\n\n以下评论只代表网友个人观点，不代表科学网观点。\n\n[![Image 2](https:\u002F\u002Fnews.sciencenet.cn\u002Fimages\u002Fnewcomm.gif)](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtml\u002Fcomment.aspx?id=572939)\n\n相关新闻 相关论文\n*   1\n*   [微型机器人靶向心脏感染病灶精准送药](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572918.shtm)\n\n*   2\n*   [这个打破常识的发现因何而来](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572917.shtm)\n\n*   3\n*   [科学家捕获最远快速射电暴](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572916.shtm)\n\n*   4\n*   [罗先刚院士：科技创新下一程，不是“接力赛”！](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572915.shtm)\n\n*   5\n*   [研究显示：孕期慢性压力会改变胎盘影响胎儿大脑发育](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572914.shtm)\n\n*   6\n*   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[更多>>](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog.php?mod=recommend)\n\n* * *\n\n近日，中国农业科学院哈尔滨兽医研究所猪烈性传染病创新团队揭示了内质网自噬如何抑制非洲猪瘟病毒衣壳组装，以及病毒如何“反击”的分子机制。相关研究成果发表在《先进科学》（_**Advanced Science**_）上。\n\n内质网如同蛋白质的生产“车间”。当受损或多余蛋白质出现时，细胞会启动内质网自噬进行清理，这一过程由关键受体分子负责。\n\n该研究通过体内外实验发现，这种关键受体介导的内质网自噬能够降解非洲猪瘟病毒的衣壳蛋白，抑制衣壳组装，从而发挥抗病毒功能。作为逃逸策略，非洲猪瘟病毒则通过“分子模拟”劫持细胞自噬系统，反过来降解该受体，从而拮抗其抗病毒功能。\n\n该研究为拓展非洲猪瘟病毒与宿主相互博弈的认知及开发新型抗病毒制剂提供了新靶标。研究得到国家自然科学基金、黑龙江省自然科学基金和中国农业科学院青年创新专项等项目支持。\n\n相关论文信息：https:\u002F\u002Fdoi.org\u002F10.1002\u002Fadvs.77741","中国农业科学院哈尔滨兽医研究所 2026-10-15","2026-10-15T00:00:00Z",83,{"impact":17,"substance":17,"depth":18,"authority":20,"freshness":21,"relevant":22,"comment":68},"国家级科研机构在顶刊发表非洲猪瘟攻防机制新发现，为新型抗病毒制剂提供靶标，专业增量明确，但属基础研究、时效稍弱，可入精选。",[70],{"name":64,"url":61},[27,28,72,31,73],"内质网自噬","抗病毒靶标",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":77},{"candidates":78,"agricultural_evidence":47},[79],{"code":33,"score":46,"supported":47,"title":80,"abstract":81,"tags":82},[28],[28],[27,28],[84,85],"哈兽研 非洲猪瘟 衣壳组装","非洲猪瘟病毒 内质网自噬","哈兽研非洲猪瘟衣壳组装-5338",0,"2026-10-20T02:47:43.543999Z",{"id":90,"title":91,"url":92,"summary":93,"summary_zh":8,"content":94,"source_name":95,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":66,"score_detail":96,"sources":98,"tags":100,"primary_topic":104,"secondary_topics":105,"classification":106,"search_phrases":118,"slug":121,"view_count":87,"doi":8,"paper":8,"created_at":122},5209,"中国农科院哈尔滨兽医所揭示非洲猪瘟病毒与宿主\"攻防\"新机制","https:\u002F\u002Fhvri.caas.cn\u002Fxwzh\u002Fmtbd\u002F8445b415e6c8458a9754862c223d45eb.htm","中国农业科学院哈尔滨兽医研究所揭示内质网自噬如何抑制非洲猪瘟病毒衣壳组装及病毒如何\"反击\"的分子机制,研究发现病毒通过分子模拟劫持细胞自噬系统,拮抗受体抗病毒功能,为开发新型抗病毒制剂提供新靶标,研究成果发表于《Advanced Science》。","近日，中国农业科学院哈尔滨兽医研究所猪烈性传染病创新团队揭示了内质网自噬如何抑制非洲猪瘟病毒衣壳组装，以及病毒如何“反击”的分子机制。相关研究成果发表在《先进科学（Advanced Science）》上。\n\n内质网如同蛋白质的生产“车间”。当受损或多余蛋白质出现时，细胞会启动内质网自噬进行清理，这一过程由关键受体分子负责。该研究通过体内外实验发现，这种关键受体介导的内质网自噬能够降解非洲猪瘟病毒的衣壳蛋白，抑制衣壳组装，从而发挥抗病毒功能。作为逃逸策略，非洲猪瘟病毒则通过“分子模拟”劫持细胞自噬系统，反过来降解该受体，从而拮抗其抗病毒功能。该研究为拓展非洲猪瘟病毒与宿主相互博弈的认知及开发新型抗病毒制剂提供了新靶标。\n\n该研究得到国家自然科学基金、黑龙江省自然科学基金和中国农业科学院青年创新专项等项目支持。（通讯员 邓彦莉）","中国农业科学院哈尔滨兽医所(2026-10-12)",{"impact":17,"substance":17,"depth":18,"authority":20,"freshness":21,"relevant":22,"comment":97},"国家级科研机构在非洲猪瘟基础研究上取得新机制发现，专业增量明确，对生猪疫病防控有潜在价值，值得进入每日精选。",[99],{"name":95,"url":92},[27,28,101,102,103],"生猪养殖","病毒学","抗病毒制剂",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":107},{"candidates":108,"agricultural_evidence":47},[109,113],{"code":33,"score":46,"supported":47,"title":110,"abstract":111,"tags":112},[28],[28],[27,28],{"code":114,"score":22,"supported":14,"title":115,"abstract":116,"tags":117},"C1",[],[],[101],[119,120],"哈尔滨兽医所 非洲猪瘟 衣壳组装","非洲猪瘟 内质网自噬 分子机制","哈尔滨兽医所非洲猪瘟衣壳组装-5209","2026-10-18T00:05:22.874379Z",{"id":124,"title":125,"url":126,"summary":127,"summary_zh":128,"content":8,"source_name":129,"source_url":126,"published_at":130,"category":131,"cover_url":8,"hotness":13,"is_selected":14,"score":132,"score_detail":133,"sources":138,"tags":140,"primary_topic":145,"secondary_topics":146,"classification":147,"search_phrases":171,"slug":174,"view_count":87,"doi":175,"paper":176,"created_at":193},4508,"Analyzing Bunyaviruses from a One Health Perspective","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fv18101110","Zoonotic viral diseases continue to pose major challenges to global health, particularly as environmental, social and economic changes increasingly influence interactions among humans, animals, vectors, and ecosystems. This review explores Rift Valley fever virus (RVFV), Crimean-Congo hemorrhagic fever virus (CCHFV), and hantaviruses (HTVs) within the framework of One Health, emphasizing the ecological and epidemiological factors that govern their emergence and transmission. Despite their distinct transmission cycles, these viruses share important determinants of zoonotic risk. RVFV is primarily maintained through interactions between mosquitoes, livestock, wildlife, and humans; CCHFV is sustained within complex tick–vertebrate systems involving Hyalomma ticks, domestic animals, and wildlife, while HTVs are predominantly maintained through persistent infections in mammalian reservoir hosts, particularly rodents. Climate variability, habitat alteration, agricultural expansion, livestock movement, urbanization, and other anthropogenic pressures can modify these transmission systems and create new opportunities for pathogen spillover. Effective prevention and control therefore require integrated surveillance that encompasses human disease, animal populations, vectors or wildlife reservoirs, and environmental conditions. Advances in molecular diagnostics, genomic epidemiology, ecological modeling, remote sensing, and climate-based forecasting provide valuable opportunities for improving early detection and outbreak preparedness. To reduce the burden of these zoonotic viral diseases, a sustained collaboration among human and veterinary health professionals, ecologists, entomologists, environmental scientists, and public health authorities is required. Therefore, a coordinated One Health approach is essential for anticipating emerging threats, strengthening preparedness, and protecting human, animal, and ecosystem health.","人兽共患病毒病持续对全球健康构成重大挑战，尤其是当环境、社会和经济变化日益影响人类、动物、媒介和生态系统之间的相互作用时。本综述在“同一健康”（One Health）框架下探讨了裂谷热病毒（RVFV）、克里米亚-刚果出血热病毒（CCHFV）和汉坦病毒（HTVs），重点关注决定其出现和传播的生态学与流行病学因素。尽管这些病毒的传播循环各具特点，但它们共享重要的人兽共患风险决定因素。RVFV主要通过蚊、家畜、野生动物和人类之间的相互作用维持传播；CCHFV在涉及璃眼蜱属蜱、家养动物和野生动物的复杂蜱-脊椎动物系统中持续循环；而HTVs主要通过哺乳动物储存宿主（尤其是啮齿动物）的持续性感染维持。气候变异性、栖息地改变、农业扩张、家畜流动、城市化及其他人为压力可改变这些传播系统，并为病原体外溢创造新的机会。因此，有效的预防和控制需要涵盖人类疾病、动物种群、媒介或野生动物储存宿主以及环境条件的综合监测。分子诊断、基因组流行病学、生态建模、遥感和基于气候的预测等方面的进步为改善早期发现和疫情准备提供了宝贵机遇。为减轻这些人兽共患病毒病的负担，需要人类与兽医卫生专业人员、生态学家、昆虫学家、环境科学家和公共卫生当局之间的持续合作。因此，协调的“同一健康”方法对于预判新发威胁、加强防范以及保护人类、动物和生态系统健康至关重要。","Viruses","2026-10-08T00:00:00Z","论文",78,{"impact":18,"substance":134,"depth":18,"authority":135,"freshness":136,"relevant":22,"comment":137},20,14,8,"从One Health视角系统综述三种人兽共患病毒病的生态流行与一体化监测防控，对动物疫病预警和农业公共卫生信息化有参考价值。",[139],{"name":129,"url":126},[27,141,142,143,144],"One Health","人兽共患病","气候与疫病","分子诊断",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":148},{"candidates":149,"agricultural_evidence":47},[150,158,165],{"code":33,"score":151,"supported":47,"title":152,"abstract":153,"tags":157},12,[],[154,155,156],"人兽共患","veterinary","zoonotic",[141,142,27],{"code":159,"score":21,"supported":47,"title":160,"abstract":161,"tags":164},"I3",[],[162,163],"遥感","remote sensing",[],{"code":37,"score":166,"supported":47,"title":167,"abstract":168,"tags":170},3,[],[169],"livestock",[],[172,173],"裂谷热病毒 蜱传 汉坦病毒","One Health 人兽共患病 监测","裂谷热病毒蜱传汉坦病毒-4508","10.3390\u002Fv18101110",{"doi":175,"openalex_id":177,"authors":178,"venue":129,"cited_by_count":87,"oa_url":126,"card":185,"direction":191,"ingested_from":192},"W7221029769",[179,182],{"name":180,"orcid":181},"Daniel J.-M. Desmecht","https:\u002F\u002Forcid.org\u002F0000-0001-9440-0993",{"name":183,"orcid":184},"Hani Boshra","https:\u002F\u002Forcid.org\u002F0000-0001-9924-8126",{"tldr":186,"method":187,"finding":188,"direction":189,"opportunity":190},"从One Health视角综述裂谷热、克里米亚-刚果出血热和汉坦病毒的生态流行与防控。","文献综述，整合分子诊断、基因组流行病学、生态建模、遥感和气候预测。","气候变化、农业扩张和土地利用改变驱动这些人兽共患病溢出，需跨部门联合监测。","农业绿色发展与碳","可探索农业扩张与气候变化耦合下虫媒病毒溢出风险的遥感预警模型。","农业遥感与作物表型","openalex","2026-10-09T23:30:26.152648Z",{"id":195,"title":196,"url":197,"summary":198,"summary_zh":199,"content":8,"source_name":200,"source_url":197,"published_at":201,"category":131,"cover_url":8,"hotness":13,"is_selected":14,"score":202,"score_detail":203,"sources":206,"tags":208,"primary_topic":212,"secondary_topics":213,"classification":225,"search_phrases":264,"slug":267,"view_count":268,"doi":269,"paper":270,"created_at":285},3617,"Applications and challenges of geospatial technologies in veterinary medicine","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44338-026-00259-y","Geospatial technologies are increasingly recognized as critical assets in veterinary medicine, providing robust frameworks for disease surveillance, risk mapping, and informed decision‑making. The objective of this narrative review is to summarize the role of Geographic Information Systems, Global Positioning System, and Remote Sensing in advancing veterinary medicine by synthesizing current applications, identifying prevailing challenges, and exploring future prospects. Collectively, these tools enable monitoring of disease dynamics, identification of epidemiological hotspots, outbreak prediction, and integration of spatial and epidemiological datasets to guide targeted interventions. For instance, GIS‑based mapping of Rift Valley fever outbreaks in East Africa has enabled rapid identification of epidemiological hotspots and guided vaccination campaigns, while RS‑derived vegetation indices have successfully predicted tick distribution patterns in southern Africa, improving targeted control strategies. Their utility extends beyond livestock health, contributing significantly to wildlife disease monitoring, zoonotic risk assessment, food safety assurance, and broader veterinary decision processes. Despite such successes, adoption remains limited, hindered by technical\u002Finfrastructure barriers, poor data quality, and ethical and policy challenges. In Ethiopia, recent surveys indicate that fewer than 20% of veterinary institutions actively use GIS platforms for routine surveillance, and integration of RS into national veterinary services is still limited to pilot projects. This gap underscores the urgent need for national geospatial data repositories, standardized protocols, and capacity‑building initiatives to ensure equitable access and sustainable utilization. Future opportunities lie in harnessing advances in Artificial Intelligence, Machine Learning, and cloud‑based GIS platforms, alongside global collaboration and training programs, to strengthen veterinary epidemiology and surveillance systems. Addressing these challenges will be essential for the sustainable integration of geospatial technologies into veterinary practice, thereby enhancing disease control, safeguarding public health, and supporting livestock productivity.","地理空间技术在兽医学中日益被视为关键资产，为疾病监测、风险制图和知情决策提供了稳健框架。本叙述性综述旨在总结地理信息系统（Geographic Information Systems, GIS）、全球定位系统（Global Positioning System, GPS）和遥感（Remote Sensing, RS）在推动兽医学发展中的作用，通过综合当前应用、识别主要挑战并探讨未来前景。总体而言，这些工具有助于监测疾病动态、识别流行病学热点、预测疫情，并整合空间与流行病学数据集以指导针对性干预。例如，基于GIS的东非裂谷热疫情制图能够快速识别流行病学热点并指导疫苗接种活动，而遥感衍生的植被指数已成功预测南部非洲蜱虫分布模式，改善了针对性控制策略。其效用不仅限于家畜健康，还对野生动物疾病监测、人兽共患病风险评估、食品安全保障及更广泛的兽医决策过程作出重要贡献。尽管取得了这些成功，其应用仍然有限，受到技术\u002F基础设施障碍、数据质量不佳以及伦理和政策挑战的制约。在埃塞俄比亚，近期调查表明，不到20%的兽医机构在常规监测中积极使用GIS平台，而遥感纳入国家兽医服务仍局限于试点项目。这一差距凸显了建立国家地理空间数据存储库、标准化方案和能力建设举措的迫切需求，以确保公平获取和可持续利用。未来的机遇在于利用人工智能、机器学习和基于云的GIS平台的进步，以及全球合作和培训项目，来加强兽医流行病学和监测系统。应对这些挑战对于将地理空间技术可持续地整合到兽医实践中至关重要，从而增强疾病控制、保障公共卫生并支持家畜生产力。","Discover Animals","2026-09-24T00:00:00Z",75,{"impact":18,"substance":134,"depth":204,"authority":151,"freshness":136,"relevant":22,"comment":205},17,"综述系统梳理GIS、GPS与遥感在兽医领域的应用与瓶颈，含东非裂谷热、南部非洲蜱虫分布及埃塞俄比亚使用率不足20%等实证数据，对农业信息化与动物疫病防控有参考价值。",[207],{"name":200,"url":197},[27,209,142,210,211],"遥感监测","兽医信息化","地理信息系统",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[214,220],{"code":215,"slug":216,"name":217,"path":218,"parent_code":219},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","I",{"code":221,"slug":222,"name":223,"path":224,"parent_code":219},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":40,"locked":14,"version":41,"method":42,"evidence":226},{"candidates":227,"agricultural_evidence":47},[228,233,240,248,253,260],{"code":33,"score":229,"supported":47,"title":230,"abstract":231,"tags":232},19,[155],[154,155,156],[142,27],{"code":215,"score":13,"supported":47,"title":234,"abstract":235,"tags":239},[],[236,237,238],"地理信息","GIS","geographic information",[211],{"code":221,"score":241,"supported":47,"title":242,"abstract":243,"tags":247},9,[],[244,245,246],"机器学习","machine learning","artificial intelligence",[],{"code":159,"score":249,"supported":47,"title":250,"abstract":251,"tags":252},7,[],[162,163],[209],{"code":254,"score":21,"supported":47,"title":255,"abstract":256,"tags":259},"E4",[],[257,258],"食品安全","food safety",[],{"code":37,"score":166,"supported":47,"title":261,"abstract":262,"tags":263},[],[169],[],[265,266],"GIS 兽医 疾病监测","遥感 蜱虫 分布 预测","GIS兽医疾病监测-3617",2,"10.1007\u002Fs44338-026-00259-y",{"doi":269,"openalex_id":271,"authors":272,"venue":200,"cited_by_count":87,"oa_url":278,"card":279,"direction":284,"ingested_from":192},"W7214225608",[273,276],{"name":274,"orcid":275},"Assaye Wollelie Fentie","https:\u002F\u002Forcid.org\u002F0009-0005-9099-9819",{"name":277,"orcid":8},"Daniel Haile Asefa","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44338-026-00259-y.pdf",{"tldr":280,"method":281,"finding":282,"direction":191,"opportunity":283},"综述地理空间技术在兽医领域的应用、挑战与前景，聚焦疾病监测与风险制图。","叙述性综述，整合GIS、GPS、遥感在兽医流行病学中的应用案例与调查数据。","GIS\u002FRS能有效预测疫情和病媒分布，但应用受限于基础设施、数据质量及政策，如埃塞俄比亚使用率不足2","可探索AI\u002F机器学习与云GIS结合，构建兽医领域标准化地理空间数据平台与预警系统。","智慧农业 \u002F 农业物联网","2026-09-27T23:30:26.015992Z",{"id":287,"title":288,"url":289,"summary":290,"summary_zh":291,"content":8,"source_name":292,"source_url":289,"published_at":293,"category":131,"cover_url":8,"hotness":13,"is_selected":14,"score":132,"score_detail":294,"sources":296,"tags":298,"primary_topic":303,"secondary_topics":304,"classification":306,"search_phrases":332,"slug":335,"view_count":336,"doi":337,"paper":338,"created_at":364},3478,"Closed-loop artificial intelligence agents for animal epidemic prediction and decision support in livestock farming: a review","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffvets.2026.1968632","Animal diseases continuously threaten livestock production and public health, yet current surveillance approaches remain largely passive and fragmented. Conventional artificial intelligence models typically function as open-loop predictors, delivering static outputs that fail to accommodate the dynamic operational needs of veterinarians in real-world farm settings. This review explores an emerging paradigm of AI agents for animal disease monitoring, emphasizing how such agents can transition from passive observation to active intervention through a closed-loop perception–decision–feedback architecture. We first classify multi-scale sensing technologies: at the micro-scale, automated molecular diagnostics and biosensors; at the macro-scale, computer-vision-based phenotyping. These technologies collectively provide the data streams required for continuous surveillance. The review then discusses how multi-modal inputs, time-series forecasting, resource-aware decision-making, and reinforcement learning can be integrated into an agent-based workflow. Importantly, most current veterinary research evidence supports only the individual components of this framework, rather than the deployment of fully autonomous, iteratively evolving closed-loop agents in actual field environments. Translating closed-loop AI from a conceptual framework into a reliable veterinary decision-support tool will therefore require further advances in validation, standardization, governance, and human oversight.","动物疫病持续威胁着畜牧生产与公共卫生，然而当前的监测手段在很大程度上仍是被动且碎片化的。传统人工智能模型通常作为开环预测器运行，输出静态结果，无法满足兽医在真实养殖场景中动态的操作需求。本文综述了动物疫病监测中新兴的人工智能代理（AI agents）范式，重点探讨此类代理如何通过“感知—决策—反馈”的闭环架构，从被动观察转向主动干预。我们首先对多尺度传感技术进行分类：在微观尺度上，包括自动化分子诊断与生物传感器；在宏观尺度上，包括基于计算机视觉的表型分析。这些技术共同提供了持续监测所需的数据流。随后，本文讨论了多模态输入、时间序列预测、资源感知决策以及强化学习如何整合到基于代理的工作流程中。重要的是，当前大多数兽医研究证据仅支持该框架的各个独立组件，而非在实际现场环境中部署完全自主、迭代演化的闭环代理。因此，要将闭环人工智能从概念框架转化为可靠的兽医决策支持工具，还需在验证、标准化、治理和人工监督方面取得进一步进展。","Frontiers in Veterinary Science","2026-09-23T00:00:00Z",{"impact":18,"substance":134,"depth":18,"authority":135,"freshness":136,"relevant":22,"comment":295},"系统梳理闭环AI智能体在动物疫病监测与决策中的应用框架，指出落地瓶颈，对智慧畜牧有参考价值。",[297],{"name":292,"url":289},[299,300,27,301,302],"智慧农业","农业人工智能","畜牧养殖","智能决策",{"code":221,"slug":222,"name":223,"path":224,"parent_code":219},[305],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":307},{"candidates":308,"agricultural_evidence":47},[309,316,321,327],{"code":221,"score":310,"supported":47,"title":311,"abstract":313,"tags":315},23,[246,312],"decision support",[314,246],"计算机视觉",[300],{"code":37,"score":135,"supported":47,"title":317,"abstract":318,"tags":320},[169],[319,169],"畜牧",[],{"code":33,"score":13,"supported":47,"title":322,"abstract":323,"tags":326},[],[324,155,325],"动物疫病","animal disease",[27],{"code":328,"score":22,"supported":14,"title":329,"abstract":330,"tags":331},"I1",[],[],[299],[333,334],"动物疫病 AI 预测","闭环智能体 畜牧","动物疫病AI预测-3478",5,"10.3389\u002Ffvets.2026.1968632",{"doi":337,"openalex_id":339,"authors":340,"venue":292,"cited_by_count":87,"oa_url":357,"card":358,"direction":284,"ingested_from":192},"W7214118204",[341,344,346,348,351,354],{"name":342,"orcid":343},"Yuzhi Wang","https:\u002F\u002Forcid.org\u002F0009-0001-8566-7810",{"name":345,"orcid":8},"Yingtong Zhou",{"name":347,"orcid":8},"Liyu Li",{"name":349,"orcid":350},"Huiling Xu","https:\u002F\u002Forcid.org\u002F0000-0001-8195-8648",{"name":352,"orcid":353},"Wangze Ni","https:\u002F\u002Forcid.org\u002F0000-0003-1438-1345",{"name":355,"orcid":356},"Xiaoliang Li","https:\u002F\u002Forcid.org\u002F0000-0002-2410-7545","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fveterinary-science\u002Farticles\u002F10.3389\u002Ffvets.2026.1968632\u002Fpdf",{"tldr":359,"method":360,"finding":361,"direction":362,"opportunity":363},"综述闭环AI智能体用于畜禽疫病预测与决策支持，提出感知-决策-反馈架构。","综述多尺度传感、多模态输入、时序预测与强化学习集成。","现有证据仅支持框架组件，闭环智能体尚未在真实农场部署。","农业人工智能与决策模型","可研究闭环智能体在真实农场的验证、标准化与人机协同治理。","2026-09-25T23:30:12.980548Z",{"id":366,"title":367,"url":368,"summary":369,"summary_zh":370,"content":8,"source_name":371,"source_url":368,"published_at":372,"category":131,"cover_url":8,"hotness":13,"is_selected":14,"score":87,"score_detail":373,"sources":375,"tags":377,"primary_topic":379,"secondary_topics":380,"classification":381,"search_phrases":396,"slug":399,"view_count":268,"doi":400,"paper":401,"created_at":412},2438,"The Ecology, Identification and Control of Bunyaviruses from a One Health Perspective","https:\u002F\u002Fdoi.org\u002F10.20944\u002Fpreprints202609.0941.v1","Zoonotic viral diseases continue to pose major challenges to global health, particularly as environmental, social and economic changes increasingly influence interactions among humans, animals, vectors, and ecosystems. This review explores Rift Valley fever virus (RVFV), Crimean-Congo hemorrhagic fever virus (CCHFV), and hantaviruses (HTVs) within the framework of One Health, emphasizing the ecological and epidemiological factors that govern their emergence and transmission. Despite their distinct transmission cycles, these viruses share important determinants of zoonotic risk. RVFV is primarily maintained through interactions among mosquitoes, livestock, wildlife, and humans; CCHFV is sustained within complex tick–vertebrate systems involving Hyalomma ticks, domestic animals, and wildlife; while HTVs are predominantly maintained through persistent infections in mammalian reservoir hosts, particularly rodents. Climate variability, habitat alteration, agricultural expansion, livestock movement, urbanization, and other anthropogenic pressures can modify these transmission systems and create new opportunities for pathogen spillover. Effective prevention and control therefore require integrated surveillance that encompasses human disease, animal populations, vectors or wildlife reservoirs, and environmental conditions. Advances in molecular diagnostics, genomic epidemiology, ecological modeling, remote sensing, and climate-based forecasting provide valuable opportunities for improving early detection and outbreak preparedness. Ultimately, the experiences of RVFV, CCHFV, and HTVs that reducing the burden of zoonotic viral diseases requires sustained collaboration among human and veterinary health professionals, ecologists, entomologists, environmental scientists, and public health authorities. A coordinated One Health approach is consequently essential for anticipating emerging threats, strengthening preparedness, and protecting human, animal, and ecosystem health.","人兽共患病毒病持续对全球健康构成重大挑战，尤其是当环境、社会和经济变化日益影响人类、动物、媒介和生态系统之间的相互作用时。本综述在“同一健康”（One Health）框架下探讨了裂谷热病毒（RVFV）、克里米亚-刚果出血热病毒（CCHFV）和汉坦病毒（HTVs），重点关注决定其出现和传播的生态学与流行病学因素。尽管这些病毒的传播循环各不相同，但它们共享重要的人兽共患风险决定因素。RVFV主要通过蚊虫、家畜、野生动物和人类之间的相互作用维持传播；CCHFV在涉及璃眼蜱属蜱虫、家畜和野生动物的复杂蜱-脊椎动物系统中持续循环；而HTVs主要通过哺乳动物储存宿主（尤其是啮齿动物）的持续性感染维持。气候变异性、栖息地改变、农业扩张、家畜流动、城市化及其他人为压力可改变这些传播系统，并为病原体外溢创造新的机会。因此，有效的预防和控制需要涵盖人类疾病、动物种群、媒介或野生动物储存宿主以及环境条件的综合监测。分子诊断、基因组流行病学、生态建模、遥感和基于气候的预测方面的进展为改善早期发现和疫情准备提供了宝贵机遇。最终，RVFV、CCHFV和HTVs的经验表明，减轻人兽共患病毒病的负担需要人类与兽医卫生专业人员、生态学家、昆虫学家、环境科学家和公共卫生当局之间的持续合作。因此，协调的“同一健康”方法对于预判新发威胁、加强准备以及保护人类、动物和生态系统健康至关重要。","Preprints.org","2026-09-11T00:00:00Z",{"impact":87,"substance":87,"depth":87,"authority":87,"freshness":87,"relevant":87,"comment":374},"该文为公共卫生领域的人兽共患病毒综述，与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[376],{"name":371,"url":368},[27,141,142,378],"虫媒传染病",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":382},{"candidates":383,"agricultural_evidence":47},[384,388,392],{"code":33,"score":151,"supported":47,"title":385,"abstract":386,"tags":387},[],[154,155,156],[141,142,27],{"code":159,"score":21,"supported":47,"title":389,"abstract":390,"tags":391},[],[162,163],[],{"code":37,"score":166,"supported":47,"title":393,"abstract":394,"tags":395},[],[169],[],[397,398],"动物疫病防控 人兽共患病 虫媒传染病 One Health","动物疫病防控 人兽共患病","动物疫病防控人兽共患病虫媒传染病OneHealth-2438","10.20944\u002Fpreprints202609.0941.v1",{"doi":400,"openalex_id":402,"authors":403,"venue":371,"cited_by_count":87,"oa_url":368,"card":407,"direction":191,"ingested_from":192},"W7212458598",[404,406],{"name":405,"orcid":8},"Daniel Desmecht",{"name":183,"orcid":8},{"tldr":408,"method":409,"finding":410,"direction":189,"opportunity":411},"从One Health视角综述裂谷热、克里米亚-刚果出血热和汉坦病毒的生态、鉴定与防控。","文献综述，整合分子诊断、基因组流行病学、生态建模、遥感与气候预测。","三种人兽共患病毒溢出风险受气候、栖息地改变、农业扩张和牲畜流动等驱动，需跨部门联合监测。","可探索农业扩张与牲畜流动如何量化驱动病毒溢出，并构建遥感与气候耦合的早期预警模型。","2026-09-14T23:30:27.836713Z"]