Governments must detect and treat people with tuberculosis, also prevent the uninfected community. In this sense, must promote the study of algorithms for the prediction of the epidemic trend. This paper addresses the forecasting of tuberculosis cases in Bogota, considering health surveillance system data from 2007-2020. Forecasts are obtained using the Kalman Filter and the Robust Kalman Filter. Results show better performance using the robust filter for six-week tuberculosis cases prediction.
|Original language||English (US)|
|Number of pages||6|
|State||Published - 2021|
|Event||11th IFAC Symposium on Biological and Medical Systems BMS 2021 - Ghent, Belgium|
Duration: Sep 19 2021 → Sep 22 2021
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering