TY  - JOUR
AU  - Diaz-Lozano, Miguel
AU  - Guijo-Rubio, David
AU  - Gutierrez, Pedro Antonio
AU  - Gomez-Orellana, Antonio Manuel
AU  - Tuñez, Isaac
AU  - Ortigosa-Moreno, Luis
AU  - Romanos-Rodriguez, Armando
AU  - Padillo-Ruiz, Javier
AU  - Hervas-Martinez, Cesar
PY  - 2022
DO  - 10.1016/j.eswa.2022.117977
SN  - 0957-4174
UR  - http://hdl.handle.net/10668/22222
T2  - Expert systems with applications
AB  - Many types of research have been carried out with the aim of combating the COVID-19 pandemic since the first outbreak was detected in Wuhan, China. Anticipating the evolution of an outbreak helps to devise suitable economic, social and health care...
LA  - en
PB  - Elsevier
KW  - COVID-19 contagion forecasting
KW  - Curve decomposition
KW  - Evolutionary artificial neural networks
KW  - Time series
KW  - SARS-CoV-2
KW  - COVID-19
KW  - Pandemics
KW  - Spain
KW  - Disease Outbreaks
KW  - Neural Networks, Computer
TI  - COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain.
TY  - research article
VL  - 207
ER  -