Risk-assessment of Vector-borne Diseases Based on Deep Learning and Remote Sensing

Jakob Brandtberg Knudsen, The Royal Danish Academy of Fine Arts
Grant amount: DKK 19,990,544

The malaria mosquito, Anopheles stephensi, will likely spread to cities in Africa with more than 126 mil. residents, posing a serious threat of large-scale malaria outbreaks. Low-quality housing is an important risk factor for diseases spread by mosquitos. However, the relation between urban contexts and such diseases remains understudied despite the importance of the built environment in driving transmission of malaria, dengue, and yellow fever. This project will investigate the relation between urban environments and the risk of diseases spread by mosquitos in Tanzania. The findings will be utilized in analysis of satellite imagery to identify high-risk areas and guide policy and interventions in addressing such diseases. The research will be integrated in teaching programs at the Danish applicant institutions. The project thus has potential to address important knowledge gaps, enhance urban resilience in Africa, and strengthen Danish biomedical data science capacities.

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Project participants
Dean Jakob Brandtberg Knudsen
The Royal Danish Academy of Fine Arts, School of Architecture

Professor Rasmus Fensholt
University of Copenhagen, Department of Geosciences and Natural Resource Management

Professor Christian Igel
University of Copenhagen, Department of Computer Science

Director Fredros Okumu
Ifakara Health Institute, Tanzania, Management Committee

Professor James Logan
London School of Hygiene and Tropical Medicine, Department of Disease Control