Title:
Malaria Epidemics and the Sickle-Cell Gene Dynamics

dc.contributor.author Feng, Zhilan
dc.contributor.author Yi, Yingfei
dc.contributor.author Zhu, Huaiping
dc.contributor.corporatename Georgia Institute of Technology. School of Mathematics
dc.date.accessioned 2009-08-10T13:52:07Z
dc.date.available 2009-08-10T13:52:07Z
dc.date.issued 2002
dc.description.abstract A mathematical model incorporating both malaria epidemics and human population genetics of the sickle-cell gene is studied. The dynamics of the model can be separated into two time-scales with a faster time-scale for the epidemics and a slower time-scale for the change in gene frequencies. A complete analysis of the dynamics on the slow manifold is conducted, which provides insights into how malaria epidemics may have an impact on the maintenance of the sickle-cell gene in a population where malaria is prevalent. en
dc.description.sponsorship The first author is partially supported by NSF grant DMS-9974389. The second author is partially supported by NSF grant DMS-9803581. The third author is partially supported by a Canadian NSERC postdoctoral fellowship. en
dc.identifier.uri http://hdl.handle.net/1853/29484
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries CDSNS2002-380 en
dc.subject Malaria epidemics en
dc.subject Sickle-cell gene en
dc.subject Infective vector populations en
dc.title Malaria Epidemics and the Sickle-Cell Gene Dynamics en
dc.type Text
dc.type.genre Pre-print
dspace.entity.type Publication
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Mathematics
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication 84e5d930-8c17-4e24-96cc-63f5ab63da69
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