Call for Chapters
AI for Epidemic Preparedness
Innovations and Insights from the Global South
El Morr C., Saab A., Salem-Sokhn, E. (Ed.)
Springer Nature
Abstract closing date: July 21, 2025
Editors:
This edited volume seeks to bring together original, high-impact contributions that illustrate how artificial intelligence (AI) is being—or can be—harnessed to strengthen epidemic preparedness and response across the Global South. By showcasing real-world case studies, methodological advances, ethical frameworks, and policy insights, the book will serve as both a scholarly reference and a practical guide for researchers, practitioners, policymakers, and funders working at the intersection of AI and public health emergencies in low- and middle-income settings.
Important Notes
Submission Guidelines
Topics and Themes
We welcome chapter proposals that address, but are not limited to, the following themes:
Topic 1: Foundations and Cross-Cutting Themes
Topic 2: AI for Early Detection, Surveillance, and Prediction
Topic 3: AI Applications for Equitable Infection Control and epidemic preparedness
Topic 4: AI Governance, Ethics, and Equity
- Dr. Christo El Morr (York University, Canada)
- Dr. Antoine Saab (Lebanese Hospital Geitaoui UMC / Sorbonne University, France)
- Dr. Elie Salem-Sokhn (Beirut Arab University, Lebanon)
This edited volume seeks to bring together original, high-impact contributions that illustrate how artificial intelligence (AI) is being—or can be—harnessed to strengthen epidemic preparedness and response across the Global South. By showcasing real-world case studies, methodological advances, ethical frameworks, and policy insights, the book will serve as both a scholarly reference and a practical guide for researchers, practitioners, policymakers, and funders working at the intersection of AI and public health emergencies in low- and middle-income settings.
Important Notes
- Submissions must be original and not under consideration elsewhere.
- Authors from LMICs and marginalized communities are strongly encouraged to submit.
- There are no publication fees.
- All chapters will undergo double-blind peer review
Submission Guidelines
- Abstract: A 300-word abstract outlining the chapter’s Topic (see the 4 topics below), Title, Objectives, Methods or case study, and anticipated Findings. Include up to five keywords. Author Details: For each author provide: full name, affiliation, e-mail address, ORCID, and a brief (100-word) biography.
- Abstract Submission Deadline: July 21, 2025;
- Notification of Acceptance: July 27, 2025
- First Draft Manuscript (2,500–3,000 words): September 7, 2025. [email protected]
- Review Feedback: October 17, 2025
- Final Revised Manuscript: November 30, 2025
Topics and Themes
We welcome chapter proposals that address, but are not limited to, the following themes:
Topic 1: Foundations and Cross-Cutting Themes
- Challenges in epidemic surveillance and pandemic preparedness in the Global South
- Introduction to pre-AI tools used for epidemic surveillance
- Core concepts and history of artificial intelligence for public health
- Rethinking epidemic response in the digital age
- Challenges, opportunities, and guiding principles for AI in the Global South
Topic 2: AI for Early Detection, Surveillance, and Prediction
- AI-powered surveillance of waterborne pathogens
- Community-based detection of zoonotic diseases using AI
- Machine-learning approaches to epidemiological surveillance in resource-limited settings
- Automated pandemic surveillance workflows
- Intelligent early warning and response systems
- Enhancing polio surveillance
- AI for early tuberculosis diagnosis
- Eco-epidemiology and Aedes-borne virus warning systems
- Integrated platforms for disaster-risk management
Topic 3: AI Applications for Equitable Infection Control and epidemic preparedness
- Infection Control and Prevention
- AI-driven air-quality monitoring
- Blockchain-enabled AI architectures for trust
- AI applications against re-emerging diseases
- Case studies on AI improving outcomes for vulnerable groups
- Ethical strategies for Indigenous communities
- AI innovations for early disease detection
- Mechatronic designs for AI-enhanced health monitoring
Topic 4: AI Governance, Ethics, and Equity
- Democratizing AI in Latin America and the Caribbean
- Building disability resilience through AI in pandemic contexts
- Frameworks for responsible AI governance in the Global South
- Fostering global-south communities of practice
- Lessons learned and a people-centered vision for AI beyond pandemics