Modernizing public health surveillance for global health security leveraging AI
An electronic public health surveillance (e-PHS) embracing One Health and participatory approaches will collect and analyze data at the human-animal-environment interface to enhance real-time information for the prevention and control of public health emergencies (PHE) such as infectious disease outbreaks. Yet full implementation is suboptimal worldwide. Leveraging the capabilities of emerging digital technologies legally and ethically, we described the scope, added benefits, and applicability of a novel cloud-based, artificial intelligence-enabled One Health Integrated Disease Surveillance and Response health information system (AI-OneHIS) data infrastructure for modernizing the existing traditional PHS models. This multifaceted innovation will ensure faster data capture, seamless interoperability of fragmented HIS, and precise decision support, while preserving their structures, functionalities, and capabilities for routine operations and data sovereignty. This should enable the prevention, timely detection, and effective response to PHE for improved health outcomes if implemented with fidelity on a strong governance-collaboration-informatics-analytics framework.
Authors
- Rana Jawad Asghar (ORCID: https://orcid.org/0000-0001-5413-5742)
- Brian E. Dixon (ORCID: https://orcid.org/0000-0002-1121-0607)
- Amy K. Winter (ORCID: https://orcid.org/0000-0003-2737-7003)
- Wondwossen A. Gebreyes (ORCID: https://orcid.org/0000-0003-1885-3952)
- Tanzeel Zohra (ORCID: https://orcid.org/0000-0002-0489-8538)
- Chima Ohuabunwo (ORCID: https://orcid.org/0000-0003-0742-1388)
- Daniel Tom-Aba (ORCID: https://orcid.org/0000-0001-7194-9377)
- Affan Shaikh (ORCID: https://orcid.org/0000-0003-1583-3817)
- Fitsum Teferi
- Dee Warmath (ORCID: https://orcid.org/0000-0001-8301-1386)
- Simon Antara
- Lionel Solété Sogbossi
- Neil Squires
- Ahmed Haji Said (ORCID: https://orcid.org/0009-0007-0681-5998)
- Scott JN. McNabb
- Tadesse Wuhib
- Senait Kebede
- Wondimagegnehu Alemu
- Andrew Awori
- Juliet Sekandi
- Stella Chungong
- Melchior A. Aïssi
- Virgil K. Lokossou
- Julian Salim
- Adnan Bashir
- Ye Shen
- Morgan Toth
- Caroline Baer
- Jayson Brown
- Kehinde O. Ogunyemi
- Hammad Ali
- Yewen Chen
Institutions
- Washington State Department of Health (US)
- Regenstrief Institute (US)
- Massachusetts Department of Public Health (US)
- Emory University (US)
- University of Georgia (US)
- Brown University (US)
- Saint Joseph's Hospital (US)
- Centers for Disease Control and Prevention (UG)
- World Health Organization (CH)
- RED Consulting (Norway) (NO)
- Georgia Department of Public Health (US)
- Global Policy Institute (US)
- Centers for Disease Control and Prevention (KE)
- West African Health Organisation (BF)
- Global Initiative on Psychiatry (GE)
- African Field Epidemiology Network (UG)
- Richard M. Fairbanks Foundation (US)
- Health Services Academy (PK)
- Indiana University – Purdue University Indianapolis (US)
- Morehouse School of Medicine (US)
Publication Details
- Journal
- The Lancet Regional Health - Americas
- Published
- 2026-03-17
- DOI
- https://doi.org/10.1016/j.lana.2026.101452
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00