AI Solutions for One Health Approaches to Epidemic and Pandemic Prevention and Response: Scale, Inclusion and Impact
In every corner of the planet, disease outbreaks are increasing in both severity and frequency. Across the Global South in particular, climate change is exacerbating existing health and social inequities by increasing the vulnerability of climate “hotspots” to the emergence and re-emergence of infectious diseases such as malaria, dengue fever and zika. Additionally, a growing number of these diseases are spreading from animals to humans due to factors such as increasing human encroachment into natural landscapes. This connection between animal, human and environmental health is known as “One Health”. Data science and artificial intelligence (AI) solutions are increasingly being used to identify risks, conduct predictive modeling and provide evidence-based recommendations for public health policy and action.
This new project will support and scale innovations that have been shown to improve public health preparedness and response to emerging and re-emerging infectious disease outbreaks, paying particular attention to underrepresented populations. It builds on the ongoing AI4PEP efforts to support responsible AI solutions to be scaled and sustained through continued collaborations with communities, researchers and policymakers.
