Joint modelling of recurrent clinical malaria episodes and longitudinal parasitemia data

Simple item page
dc.contributor.authorStanley, Christopher Chikhosi
dc.date.accessioned2021-11-23T12:07:14Z
dc.date.available2021-11-23T12:07:14Z
dc.date.issued2021
dc.descriptionA thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, 2021en_ZA
dc.description.abstractBackground Plasmodium falciparum infection is one of the most common parasitic infections in humans, with a disproportionately higher share of the problem in Sub-Saharan Africa SSA. In Malawi, malaria is endemic and the prevalence of Plasmodium falciparum parasite is also high. Individuals in high-transmission settings are exposed to bites of infected Anopheles mosquitoes and develop frequent infections. With each infection, acquired immunity develops making subsequent disease episodes less likely. Therefore, longitudinal cohorts are ideal to study risk of malaria over time especially in high transmission areas because repeated infection is common. When modelling the risk of malaria in a cohort study, methods ought to account for this naturally acquired immunity which develops in individuals over time. Methods that focus on first incident alone single event joint model excluding subsequent episodes may be inefficient since much information is lost and may underestimate the disease burden. A gap exists in literature on the use of joint modeling to analyze recurrent clinical malaria and parasitemia data collected during cohort studies.en_ZA
dc.description.librarianTL (2021)en_ZA
dc.facultyFaculty of Health Sciencesen_ZA
dc.identifier.urihttps://hdl.handle.net/10539/32047
dc.language.isoenen_ZA
dc.phd.titlePHDen_ZA
dc.schoolSchool of Public Healthen_ZA
dc.titleJoint modelling of recurrent clinical malaria episodes and longitudinal parasitemia dataen_ZA
dc.typeThesisen_ZA
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
Abstract.pdf
Size:
241.13 KB
Format:
Adobe Portable Document Format
Description:
Abstract
Download
No Thumbnail Available
Name:
PhD Thesis-final submission-cstanley-Dec2020.pdf
Size:
3.88 MB
Format:
Adobe Portable Document Format
Description:
Main Work
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
ETD Collection