Publications des scientifiques de l'IRD

Hammami I., Nuel G., Garcia André. (2013). Statistical properties of parasite density estimators in malaria. Plos One, 8 (3), p. e51987. ISSN 1932-6203.

Titre du document
Statistical properties of parasite density estimators in malaria
Année de publication
2013
Type de document
Article référencé dans le Web of Science WOS:000316407400002
Auteurs
Hammami I., Nuel G., Garcia André
Source
Plos One, 2013, 8 (3), p. e51987 ISSN 1932-6203
Malaria is a global health problem responsible for nearly one million deaths every year around 85% of which concern children younger than five years old in Sub-Saharan Africa. In addition, around 300 million clinical cases are declared every year. The level of infection, expressed as parasite density, is classically defined as the number of asexual parasites relative to a microliter of blood. Microscopy of Giemsa-stained thick blood films is the gold standard for parasite enumeration. Parasite density estimation methods usually involve threshold values; either the number of white blood cells counted or the number of high power fields read. However, the statistical properties of parasite density estimators generated by these methods have largely been overlooked. Here, we studied the statistical properties (mean error, coefficient of variation, false negative rates) of parasite density estimators of commonly used threshold-based counting techniques depending on variable threshold values. We also assessed the influence of the thresholds on the cost-effectiveness of parasite density estimation methods. In addition, we gave more insights on the behavior of measurement errors according to varying threshold values, and on what should be the optimal threshold values that minimize this variability.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Entomologie médicale / Parasitologie / Virologie [052]
Localisation
Fonds IRD [F B010060771]
Identifiant IRD
fdi:010060771
Contact