Leader:
Carlos Uribe, PhD (Professor of Economics, Administration and Economics Faculty, CADE)
Santiago José Gangotena, PhD (Professor of Economics, Administration and Economics Faculty, CADE)
USFQ Participants:
7 students from the Economics Master´s Degree. Computational Economics class 2.
Description:
| Estimate based on data on the course of infection to correct selection bias in reported cases and to report public policy in real time. | Models of contagion agents based on networks that consider the economy and the informal sector, asymptomatic transmission. |
| Models of contagion agents based on networks that model the public decision maker as an economic agent. | Contagion models in compartments that consider lags and restricted capacity to process data. |
USFQ Faculty: Economics
USFQ Project ID: –
healthecuador.org 