Artificial intelligence (AI) holds great potential to revolutionize everything from how farmers increase their crop yields, to how governments communicate with their citizens in their own languages during natural disasters, to how healthcare providers respond to global pandemics.
This project will respond to the need for COVID-19 prevention among urban refugee youth who experience poverty, overcrowded living conditions, and poor sanitation that increase COVID-19 risks while limiting their ability to practice mitigation strategies such as frequent hand washing and physical distancing.
Through four case studies in Lebanon, Jordan, Kenya, and Ethiopia, the project will demonstrate the value of local knowledge ecosystems in promoting a more nuanced and localized understanding of how refugees, host communities, states, and development actors in the Global South can deal more effectively with the challenge of forced displacement.
Although critically important for determining optimal strategies to reduce transmission and limit the impact of SARS-CoV-2 (COVID-19), factors such as the frequency of household transmission, the proportion of asymptomatic infection, and the natural history of the infection are poorly understood.
The rapid global emergence and spread of COVID-19 is having extensive effects on the health of populations and health systems worldwide and is threatening fragile health systems in many resource-poor countries.
The COVID-19 pandemic is causing a high burden of disease in Peru and other Latin American countries and affecting the capacity of health services to provide appropriate care to neglected diseases that persist outside the global spotlight.