Institution:
Iterative high-throughput calibration of epidemiological models
Iterative high-throughput calibration of epidemiological models is a workflow that performes optimization-via-simulation
Research Group:
.
Researcher/s:
Miguel Ponce de León, Javier del Valle
Website:
https://gitlab.bsc.es/flowmaps/emews-mmca-covid19
Description:
Iterative high-throughput calibration of epidemiological models is a workflow that performes optimization-via-simulation and uses time series on reported cases to find candidate values for unknown epidemiological parameters.
Problem:
N/A
Solution:
N/A
Aplication areas:
N/A
Novelty:
N/A
Protection:
BSD 3-Clause License
Target market:
N/A
Keywords:
IOT, health
TRL: N/A
CRL: N/A
BRL: N/A
IPRL: N/A
TmRL: N/A
FRL: N/A
More information
if you want to know more about this project do not hesitate to contact us