KNUSTSpace >
Research Articles >
College of Science >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/13052

Title: Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana
Authors: Paintsil, Ellis Kobina
Omari-Sasu, Akoto Yaw
Addo, Matthew Glover
Boateng, Maxwell Akwasi
Issue Date: 21-May-2019
Publisher: Malaria Research and Treatment
Citation: Malaria Research and Treatment, Volume 2019
Abstract: Malaria is the leading cause of morbidity in Ghana representing 40-60% of outpatient hospital attendance with about 10% ending up on admission. Microscopic examination of peripheral blood film remains the most preferred and reliable method for malaria diagnosis worldwide. But the level of skills required formicroscopic examination of peripheral blood film is often lacking inGhana. This study looked at determining the extent to which haematological parameters and demographic characteristics of patients could be used to predict malaria infection using logistic regression.The overall prevalence of malaria in the study area was determined to be 25.96%; nonetheless, 45.30% of children between the ages of 5 and 14 tested positive. The binary logistic model developed for this study identified age, haemoglobin, platelet, and lymphocyte as themost significant predictors.The sensitivity and specificity of themodel were 77.4% and 75.7%, respectively, with a PPV and NPV of 52.72% and 90.51%, respectively. Similar to RDT this logistic model when used will reduce the waiting time and improve the diagnosis of malaria
Description: This article has been published in Malaria Research and Treatment and is available at https://doi.org/10.1155/2019/1486370
URI: 10.1155/2019/1486370
Appears in Collections:College of Science

Files in This Item:

File Description SizeFormat
Analysis of Haematological Parameters as Predictors of.pdf1.76 MBAdobe PDFView/Open

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


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback