Tanue Elvis Asangbeng, Nkweteyim Denis L, Ondua Moise, Kwalar Ginyu Innocentia, Kibu Odette Dzemo, Nyamsi Madeleine L, Achankeng Peter L, Tchapga Christian, Ayuk Justine, Ngono Ema Patrick Jolly, Sandeu Maurice Marcel, Halle-Ekane Gregory Eddie, Kong Jude Dzevela, Nsagha Dickson Shey
Department of Public Health and Hygiene, Faculty of Health Sciences, University of Buea, Buea, Cameroon.
DigiCare Cameroon Consortium, University of Buea, South West Region, Cameroon.
Front Digit Health. 2025 Jun 17;7:1507391. doi: 10.3389/fdgth.2025.1507391. eCollection 2025.
Emerging and re-emerging infectious diseases (ERID) pose ongoing threats to global public health, demanding advanced detection methods for effective outbreak mitigation. This article explores collaboration between research teams based in the faculties of Health Sciences and Science of the University of Buea and the School of Veterinary Medicine and Science of the University of Ngaoundere (DigiCare Cameroon) for integrating artificial intelligence (AI) for early detection and management of ERID through a Digital One Health (DOH) approach. DigiCare is part of an interdisciplinary network called Artificial Intelligence for Pandemic and Epidemic Preparedness and Response Network (AI4PEP) aimed at addressing pandemic and epidemic preparedness and response by strengthening more equitable and effective public health preparedness and response to infectious disease outbreaks in low- and middle-income countries. DigiCare is aimed at improving the health and well-being of the population through sustainable and effective solutions that protect lives and ensure a resilient future leveraging on the power of AI and DOH. DigiCare Cameroon was launched on November 23rd, 2023, at the University of Buea campus during an event graced by numerous high-ranking university and government officials from the public health, environmental, scientific research, and veterinary sectors, alongside representatives from civil society, researchers, students, and community leaders. Baseline data have been collected in communities to provide an evidence-based platform to develop applications that tailor AI towards health care delivery using integrated DOH approaches. This inter-university collaboration will ultimately contribute in strengthening the capacities of health systems to prepare, prevent and mitigate epidemics and pandemics.
新发和再发传染病对全球公共卫生构成持续威胁，需要先进的检测方法来有效缓解疫情爆发。本文探讨了布埃亚大学健康科学学院和科学学院与恩冈代雷大学兽医学院和科学学院（喀麦隆数字医疗）的研究团队之间的合作，通过数字一体化健康（DOH）方法整合人工智能（AI），用于新发和再发传染病的早期检测和管理。数字医疗是名为大流行和流行病防范与应对人工智能网络（AI4PEP）的跨学科网络的一部分，旨在通过加强更公平、有效的公共卫生防范和应对低收入和中等收入国家传染病爆发，来应对大流行和流行病的防范与应对。数字医疗旨在通过可持续和有效的解决方案改善民众的健康和福祉，这些解决方案利用人工智能和数字一体化健康的力量保护生命并确保有韧性的未来。喀麦隆数字医疗于2023年11月23日在布埃亚大学校园启动，众多来自公共卫生、环境、科研和兽医部门的大学和政府高级官员，以及民间社会代表、研究人员、学生和社区领袖出席了此次活动。已在社区收集基线数据，以提供一个循证平台，开发利用综合数字一体化健康方法使人工智能适应医疗服务的应用程序。这种大学间合作最终将有助于加强卫生系统防范、预防和缓解流行病和大流行的能力。
