A disease evolution model with uncertain parameters
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
27/05/2014
27/05/2014
01/12/2001
|
| Resumo |
In this study we consider the SIS epidemiological model (susceptible-infected-susceptible) in which the transmission and recuperation rates are considered fuzzy sets. The concepts of possibility measures and fuzzy expectancy value are used to obtain the basic reproduction value for infected groups with different viral charge. |
| Formato |
1626-1630 |
| Identificador |
http://dx.doi.org/10.1109/NAFIPS.2001.943794 Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, v. 3, p. 1626-1630. http://hdl.handle.net/11449/66667 10.1109/NAFIPS.2001.943794 2-s2.0-0035792817 |
| Idioma(s) |
eng |
| Relação |
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |
| Direitos |
closedAccess |
| Palavras-Chave | #Diseases #Epidemiology #Mathematical models #Medical applications #Parameter estimation #Uncertain systems #Disease evolution model #Susceptible infected susceptible epidemilogical model #Uncertain parameters #Fuzzy sets |
| Tipo |
info:eu-repo/semantics/conferencePaper |
