Assessing the influence of rapid diagnostic test (RDT) accuracy on malaria misdiagnosis and antimalarial resistance in Nigeria
Related Experiment Video
Updated: May 3, 2026

Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test
Published on: April 9, 2012
Promise Udohchukwu Okereke1,2,3, Bamimore Mubarak Ayodeji4, Roqeebat Titilope Bolarinwa4
1Department of Dentistry and Dental Surgery, Faculty of Dentistry, College of Medicine, University of Nigeria, Enugu, Nigeria.
Abstract:
Malaria remains a critical health challenge in tropical regions, demanding accurate and timely diagnosis to prevent severe negative outcomes. The disease's misdiagnosis, driven by inadequate diagnostic tools, insufficient training, and systemic health care deficiencies, complicates effective management. Rapid diagnostic tests (RDTs), commonly used in Africa, often produce false-negative results due to various factors like parasite density and test conditions, which can lead to inappropriate treatment and potential drug resistance. Microscopy, while the gold standard, is often unavailable in resource-limited settings, pushing reliance on less accurate methods. Technological advances and improved education for health care workers are important for diagnostic accuracy. Innovations such as the Nanomal DNA analyzer, a point-of-care device, offer quick, reliable testing and the potential to identify drug resistance markers. The accuracy of malaria treatment can be significantly improved by integrating clinical assessments with refined diagnostic methods, reducing the disease burden in endemic areas. This comprehensive approach, combining technology, systemic health care improvements, and policy alignment, is important for effective malaria management and eventual eradication in affected regions.
More Related Videos
09:00A Multi-detection Assay for Malaria Transmitting Mosquitoes
Published on: February 28, 2015
10:50Detection and Quantification of Plasmodium falciparum in Aqueous Red Blood Cells by Attenuated Total Reflection Infrared Spectroscopy and Multivariate Data Analysis
Published on: November 2, 2018