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Updated: May 7, 2026

Standard Membrane Feeding Assay for the Detection of Plasmodium falciparum Infection in Anopheles Mosquito Vectors

Standard Membrane Feeding Assay for the Detection of Plasmodium falciparum Infection in Anopheles Mosquito Vectors

Published on: May 12, 2022

Malaria diagnostics in clinical trials.

Sean C Murphy¹, Joseph P Shott, Sunil Parikh

¹Department of Laboratory Medicine, University of Washington Medical Center, Seattle, Washington; Division of Intramural Research, National Institute of Allergy and Infectious Diseases,National Institutes of Health, Bethesda, Maryland; Yale University School of Public Health, New Haven, Connecticut; Office of HIV/AIDS Network Coordination, Fred Hutchinson Cancer Research Center, Seattle, Washington; Hydas World Health, Hershey, Pennsylvania; Uniformed Services University of the Health Sciences, Bethesda, Maryland.

The American Journal of Tropical Medicine and Hygiene

|September 25, 2013

Summary

This summary is machine-generated.

The Malaria Laboratory Network (MLN) evaluated diagnostic tests for malaria clinical trials. Recommendations cover test selection and quality management for reliable results in HIV/malaria co-infection studies.

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Area of Science:

Clinical Research
Infectious Diseases
Diagnostic Technologies

Background:

Malaria diagnostics are crucial for epidemiologic studies and clinical trials evaluating drugs and vaccines.
The Malaria Laboratory Network (MLN) is an international group focused on malaria and HIV/AIDS clinical trials.

Purpose of the Study:

To assess the suitability of various malaria diagnostic tests for clinical trial screening and endpoint determination.
To provide guidance on selecting appropriate diagnostic methods for malaria research, including co-infection studies.

Main Methods:

The MLN reviewed and studied a range of available malaria diagnostic tests.
Recommendations were developed for microscopy, rapid diagnostic tests, serologic tests, and molecular assays.
Quality management strategies, including performance evaluation and quality control, were considered.

Main Results:

The MLN identified key considerations for selecting malaria diagnostic tests based on research objectives.
Specific recommendations were made for different types of diagnostic assays.
Emphasis was placed on the importance of quality management for ensuring reproducibility.

Conclusions:

Appropriate selection of malaria diagnostic tests is vital for the success of clinical trials.
Robust quality management systems are essential for reliable and reproducible results in malaria research.
The MLN's recommendations aim to standardize diagnostic approaches in HIV/malaria co-infection and natural history studies.