As global health threats become increasingly complex and transnational, the need for intelligent, responsive public health infrastructure has never been more urgent. Artificial Intelligence (AI) is proving to be a powerful ally in this mission—detecting disease outbreaks, combating misinformation, and expanding health equity in hard-to-reach communities. From Latin America to sub-Saharan Africa and Southeast Asia, AI technologies are enhancing public health surveillance, communication, and care delivery, helping governments and organizations act faster and more effectively in protecting population health.
Disease Surveillance & Prediction: Reading Signals before Crises Erupt
AI systems today can process and analyze vast, disparate datasets—from social media chatter and news reports to weather patterns and geospatial data—to predict and track disease outbreaks with remarkable accuracy. These models have been instrumental in monitoring the spread of avian influenza (H5N1) and other zoonotic threats by identifying early signals in real time. Governments and global health agencies are using AI-powered dashboards to forecast infection trends, allocate medical resources, and implement containment strategies before a crisis escalates. This proactive approach marks a shift from reactive to anticipatory public health.
Dominique Chatbot (Brazil): Fighting Misinformation with AI
During pandemics and health emergencies, misinformation can spread faster than viruses. Brazil’s Dominique, an AI-powered multilingual chatbot, was developed as part of the AutoAI-Pandemics initiative to combat disinformation, particularly around vaccines and infectious diseases. With an accuracy rate of over 95% in verifying the truthfulness of health-related statements, Dominique engages users across messaging platforms, providing clear, science-backed information. By closing the gap between people and trusted medical knowledge, it strengthens public confidence in health systems and improves adherence to preventive measures.
NatallA (Guatemala): AI-Driven Prenatal Care in Remote Regions
Access to prenatal ultrasound is scarce in many low-resource regions. In Guatemala, the NatallA project has developed an AI-enabled tool that assists midwives in performing basic fetal ultrasounds without needing specialized training. This innovation allows healthcare workers in remote areas to identify maternal and fetal health risks early, guiding timely referrals and interventions. As a result, NatallA is improving maternal and child health outcomes among Indigenous and underserved communities—an area historically left behind in global health efforts.
UNDP AI Solutions: A Global Mosaic of Impact
Through the United Nations Development Programme (UNDP), a series of AI initiatives have been deployed to tackle deeply rooted public health challenges across continents:
- Bangladesh: AI tools are detecting prenatal and perinatal depression by analyzing facial expressions, voice patterns, and behavioral cues—enabling mental health interventions where clinical resources are limited.
- Ghana: AI-generated content is improving sexual and reproductive health (SRH) knowledge among adolescents with disabilities, ensuring age-appropriate, culturally sensitive outreach.
- Turkey: An AI-powered WhatsApp chatbot provides SRH information to refugee women, overcoming language and literacy barriers with personalized guidance.
- Kenya (PROMPTS): This platform sends real-time, tailored maternal health messages in local languages, segmenting users by vulnerability and offering proactive, lifesaving support.
- Ghana (Mosquito AI): Using deep learning, AI classifies mosquito species by their wingbeat sounds with 92% accuracy, aiding malaria surveillance and control efforts.
- Dominican Republic & Indonesia: AI-enabled early warning systems for mosquito-borne diseases like dengue and Zika integrate environmental and epidemiological data to provide timely alerts.
- South Africa: AI monitors air quality levels in urban and industrial zones, helping assess public health risks from pollution and supporting policy decisions.
- Tunisia: Wastewater surveillance using AI tracks pathogen levels and antibiotic resistance, providing real-time data for outbreak management and antimicrobial stewardship.
- Ethiopia: The PolioAntenna mobile app uses deep learning to enhance acute flaccid paralysis (AFP) surveillance, automating case detection and strengthening polio eradication efforts.
These global initiatives reflect AI’s extraordinary versatility in public health—empowering underserved populations, improving early detection, combating misinformation, and supporting evidence-based policy. As health systems worldwide grapple with widening disparities and evolving threats, AI offers a powerful toolkit to guard communities, promote equity, and build resilient, responsive health infrastructure for the future.
–Dr. Fairy Salecha
