Cargando…
Decisions under uncertainty: a computational framework for quantification of policies addressing infectious disease epidemics
Emerging infectious diseases continue to place a strain on the welfare of the population by decreasing the population’s general health and increasing the burden on public health infrastructure. This paper addresses these issues through the development of a computational framework for modeling and si...
Autores principales: | Mikler, Armin R., Venkatachalam, Sangeeta, Ramisetty-Mikler, Suhasini |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088115/ https://www.ncbi.nlm.nih.gov/pubmed/32214899 http://dx.doi.org/10.1007/s00477-007-0137-y |
Ejemplares similares
-
An Infectious Disease Outbreak Simulator Based on the Cellular Automata Paradigm
por: Venkatachalam, Sangeeta, et al.
Publicado: (2006) -
Attitudes and behaviors towards risky driving among adolescents in Saudi Arabia
por: Ramisetty-Mikler, Suhasini, et al.
Publicado: (2016) -
Communicating the risk of contracting Zika virus to low income underserved pregnant Latinas: A clinic-based study
por: Ramisetty-Mikler, Suhasini, et al.
Publicado: (2020) -
Student, school, parent connectedness, and school risk behaviors of adolescents in Saudi Arabia
por: AlMakadma, AbdulKarim S., et al.
Publicado: (2015) -
Data-Driven Computational Model to Assess the Risk of Epidemics in
Global Mass Gatherings
por: Alshammari, Sultanah, et al.
Publicado: (2018)