AUTHOR=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 

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

JOURNAL=Frontiers in Digital Health

VOLUME=Volume 7 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1507391

DOI=10.3389/fdgth.2025.1507391

ISSN=2673-253X

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.