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Effects of Some Biological Covariates on the Probability of First Recurrence of Malaria following Treatment with Artemisinin Combination Therapy
Stockholm University, Faculty of Social Sciences, Department of Statistics.
Stockholm University, Faculty of Social Sciences, Department of Statistics.ORCID iD: 0000-0002-2910-8432
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2018 (English)In: International Journal of Statistics in Medical Research, ISSN 1929-6029, Vol. 7, no 1, p. 1-9Article in journal (Refereed) Published
Abstract [en]

Many investigations have shown that artemisinin-based combination therapies are effective in the treatment of uncomplicated malaria and that they do not increase parasite resistance to treatment as much as treatment with single substance. We study the relation between some biological covariates and the time to first recurrence of malaria for children treated for malaria in a clinical trial. One group received artesunate plus sulfadoxine-pyrimethamine and the other only sulfadoxine-pyrimethamine. We consider the event malaria-free for the first 42 (and 84) days. We use logistic regression models for the analyses. The main results show that the probability of no recurrence is higher if the parasite density in the blood is high. The results are inconclusive for other explanatory biological variables. The infecting parasites having genes that indicate resistance, gave different results at the two different treatment centres. There was no appreciable difference in the effects of treatment over the two follow-up periods and these treatments do not have any effect on the probability of a recurrence.

Place, publisher, year, edition, pages
2018. Vol. 7, no 1, p. 1-9
Keywords [en]
Logistic model, clinical covariates, malaria treatment, parasite density, drug resistance, genotype, incomplete data
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-150331DOI: 10.6000/1929-6029.2018.07.01.1OAI: oai:DiVA.org:su-150331DiVA, id: diva2:1166825
Available from: 2017-12-16 Created: 2017-12-16 Last updated: 2022-03-23Bibliographically approved

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Thorburn, DanielGhilagaber, Gebrenegus

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