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dc.contributor.author
Aparicio, Juan Pablo
dc.contributor.author
Castillo Chavez, Carlos
dc.date.available
2019-03-08T19:54:25Z
dc.date.issued
2009-04
dc.identifier.citation
Aparicio, Juan Pablo; Castillo Chavez, Carlos; Mathematical modelling of tuberculosis epidemics; American Institute of Mathematical Sciences; Mathematical Biosciences And Engineering; 6; 2; 4-2009; 209-237
dc.identifier.issn
1547-1063
dc.identifier.uri
http://hdl.handle.net/11336/71276
dc.description.abstract
The strengths and limitations of using homogeneous mixing and heterogeneous mixing epidemic models are explored in the context of the transmission dynamics of tuberculosis. The focus is on three types of models: a standard incidence homogeneous mixing model, a non-homogeneous mixing model that incorporates 'household' contacts, and an age-structured model. The models are parameterized using demographic and epidemiological data and the patterns generated from these models are compared. Furthermore, the effects of population growth, stochasticity, clustering of contacts, and age structure on disease dynamics are explored. This framework is used to asses the possible causes for the observed historical decline of tuberculosis notifications.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Institute of Mathematical Sciences
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Demography
dc.subject
Non-Autonomous Systems
dc.subject
Stochastic Models
dc.subject
Tuberculosis
dc.subject.classification
Matemática Pura
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Mathematical modelling of tuberculosis epidemics
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-01-23T18:56:11Z
dc.journal.volume
6
dc.journal.number
2
dc.journal.pagination
209-237
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Springfield
dc.description.fil
Fil: Aparicio, Juan Pablo. Universidad Metropolitana San Juan; Puerto Rico. Universidad Nacional de Salta; Argentina
dc.description.fil
Fil: Castillo Chavez, Carlos. Arizona State University. School Of Human Evolution And Social Change; Estados Unidos. Mathematical, Computational and Modeling Sciences Center; Estados Unidos. Santa Fe Institute; Estados Unidos
dc.journal.title
Mathematical Biosciences And Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.3934/mbe.2009.6.209
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/www.aimsciences.org/article/doi/10.3934/mbe.2009.6.209


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