Leveraging AI in digital one health: an inter-university collaboration for emerging and re-emerging infectious disease control in Cameroon.

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-06-17 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1507391
Elvis Asangbeng Tanue, Denis L Nkweteyim, Moise Ondua, Ginyu Innocentia Kwalar, Odette Dzemo Kibu, Madeleine L Nyamsi, Peter L Achankeng, Christian Tchapga, Justine Ayuk, Patrick Jolly Ngono Ema, Maurice Marcel Sandeu, Gregory Eddie Halle-Ekane, Jude Dzevela Kong, Dickson Shey Nsagha
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Abstract

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.

在数字健康中利用人工智能:喀麦隆新发和再发传染病控制的大学间合作。
新出现和再出现的传染病(ERID)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。本文探讨了布埃亚大学健康科学与科学学院与恩oundere大学兽医与科学学院(DigiCare喀麦隆)的研究团队之间的合作,通过数字健康(DOH)方法整合人工智能(AI),以便早期发现和管理ERID。DigiCare是一个名为“大流行病和流行病防范和应对人工智能网络”(AI4PEP)的跨学科网络的一部分,旨在通过加强低收入和中等收入国家对传染病暴发的更公平和有效的公共卫生防范和应对,解决大流行病和流行病的防范和应对问题。DigiCare旨在利用人工智能和卫生部的力量,通过可持续和有效的解决方案,保护生命,确保有弹性的未来,改善人口的健康和福祉。DigiCare喀麦隆于2023年11月23日在布埃亚大学校园启动,来自公共卫生、环境、科学研究和兽医部门的众多高级大学和政府官员以及民间社会、研究人员、学生和社区领袖的代表出席了此次活动。在社区收集了基线数据,以提供一个基于证据的平台,开发应用程序,使人工智能适应使用综合卫生部方法提供的卫生保健服务。这种大学间合作最终将有助于加强卫生系统防备、预防和减轻流行病和大流行病的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.20
自引率
0.00%
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0
审稿时长
13 weeks
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