Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/12213
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorHENS, Niel-
dc.contributor.advisorAERTS, Marc-
dc.contributor.advisorBEUTELS, Philippe-
dc.contributor.authorGOEYVAERTS, Nele-
dc.date.accessioned2011-10-11T07:49:34Z-
dc.date.availableNO_RESTRICTION-
dc.date.available2011-10-11T07:49:34Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/1942/12213-
dc.language.isoen-
dc.titleStatistical and Mathematical Models to Estimate the Transmission of Airborne Infections from Current Status Data-
dc.typeTheses and Dissertations-
local.format.pages226-
local.bibliographicCitation.jcatT1-
local.type.refereedNon-Refereed-
local.type.specifiedPhd thesis-
dc.bibliographicCitation.oldjcatD1-
item.accessRightsOpen Access-
item.fullcitationGOEYVAERTS, Nele (2011) Statistical and Mathematical Models to Estimate the Transmission of Airborne Infections from Current Status Data.-
item.fulltextWith Fulltext-
item.contributorGOEYVAERTS, Nele-
Appears in Collections:PhD theses
Research publications
Files in This Item:
File Description SizeFormat 
Printversie def thesis Goeyvaerts Nele.pdf6.84 MBAdobe PDFView/Open
Show simple item record

Page view(s)

50
checked on Sep 7, 2022

Download(s)

36
checked on Sep 7, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.