Statistical properties of parasite density estimators in malaria and field applications

Statistical properties of parasite density estimators in malaria and field applications

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Malaria is a devastating global health problem that affected 219 million people and caused 660,000 deaths in 2010. Inaccurate estimation of the level of infection may have adverse clinical and therapeutic implications for patients, and for epidemiological endpoint measurements. The level of infectio...

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Bibliographic Details
Main Author: Hammami, Imen
Language:English
Published: Université René Descartes - Paris V 2013
Subjects:
[SDV:SA] Life Sciences/Agricultural sciences
[SDV:SA] Sciences du Vivant/Sciences agricoles
Malaria epidemiology
Threshold-based counting techniques
Parasite density estimators
Mean error
Coefficient of variation
False-negative rates
Cost-effectiveness
Parasite and leukocyte counts per high-power field
Poisson distribution
Overdispersion
Heterogeneity
Negative binomial distribution
Mixture models
HMMs
Patent
Online Access:http://tel.archives-ouvertes.fr/tel-01064071
http://tel.archives-ouvertes.fr/docs/01/06/40/71/PDF/va_hammami_imen.pdf

Internet

http://tel.archives-ouvertes.fr/tel-01064071
http://tel.archives-ouvertes.fr/docs/01/06/40/71/PDF/va_hammami_imen.pdf

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