[0]期刊文章[[2369-2960]ijmir出版物[[V] 8 [卡塔尔世界杯8强波胆分析N] 8 [P] 385551] T同一卫生领域参与式监测系统的前景:系统评价%A McNeil,Carrie %A Verlander,Sarah %A Divi,Nomita %A Smolinski,Mark %+ Ending pandemic，加利福尼亚州旧金山市市场街870号528室，94102，美国，1 415 571 2175,carrie@endingpandemics.org %K参与式监测%K One Health %K公民科学%K社区监测%K传染病%K数字疾病检测%K社区参与%K手机%D 2022 %7 5.8.2022 %9综述%J JMIR公共卫生监测%G英语%X参与式监测系统通过双向社区参与加强传统监测系统。数字平台的发展使参与式监测系统能够在全球范围内扩大，以发现影响人类、动物、植物和环境的卫生事件，换句话说，影响整个“同一个健康”范围。目的:这一景观的目的是确定并提供关于系统重点、地理位置、用户、技术、共享信息以及在同一健康范围内正在进行的参与式监测系统的感知影响的描述性信息。方法:从系统的文献回顾开始，以确定潜在的参与式监测系统。发送了一份调查问卷，从文献综述中确定的系统联系人中收集标准化数据，并通过直接与利益相关者、专家和专业组织进行接触。对调查结果和文献综述结果进行了描述性分析。结果:该景观确定了跨越五大洲的60个正在进行的单部门和多部门参与性监测系统。其中29项(48%)包括人类健康数据，26项(43%)包括环境健康数据，24项(40%)包括动物健康数据。 In total, 16 (27%) systems are multisectoral; of these, 9 (56%) collect animal and environmental health data; 3 (19%) collect human, animal, and environmental health data; 2 (13%) collect human and environmental health data; and 2 (13%) collect human and animal health data. Out of 60 systems, 31 (52%) are designed to cover a national scale, compared to those with a subnational (n=19, 32%) or multinational (n=10, 17%) focus. All systems use some form of digital technology. Email communication or websites (n=40, 67%) and smartphones (n=29, 48%) are the most common technologies used, with some using both. Systems have capabilities to download geolocation data (n=31, 52%), photographs (n=29, 48%), and videos (n=6, 10%), and can incorporate lab data or sample collection (n=15, 25%). In sharing information back with users, most use visualization, such as maps (n=43, 72%); training and educational materials (n=37, 62%); newsletters, blogs, and emails (n=34, 57%); and disease prevention information (n=32, 53%). Out of the 46 systems responding to the survey regarding perceived impacts of their systems, 36 (78%) noted “improved community knowledge and understanding” and 31 (67%) noted “earlier detection.” Conclusions: The landscape demonstrated the breadth of applicability of participatory surveillance around the world to collect data from community members and trained volunteers in order to inform the detection of events, from invasive plant pests to weekly influenza symptoms. Acknowledging the importance of bidirectionality of information, these systems simultaneously share findings back with the users. Such directly engaged community detection systems capture events early and provide opportunities to stop outbreaks quickly. %M 35930345 %R 10.2196/38551 %U https://publichealth.www.mybigtv.com/2022/8/e38551 %U https://doi.org/10.2196/38551 %U http://www.ncbi.nlm.nih.gov/pubmed/35930345