The Urban Vulnerability Assessment (UVA) is a methodology to identify areas most at risk during pandemics by analyzing factors like urban density, poverty, and informal labor. Applied to Bogotá, Colombia during COVID-19, it helps prioritize surveillance and supports disaster risk reduction policies across scales and under resource-constrained scenarios.

INFEKTA is an agent-based model that simulates infectious disease spread, including COVID-19, by integrating demographic data and mobility patterns within urban spaces. Applied to Bogotá, Colombia it shows that moderate social distancing (e.g., closing 40% of locations) can effectively reduce transmission, supporting data-driven public health policy decisions.