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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Pas de résumé en français === 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 measu...

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Bibliographic Details
Main Author: Hammami, Imen
Other Authors: Paris 5
Language:en
Published: 2013
Subjects:
Paludisme
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
570.151 95
Online Access:http://www.theses.fr/2013PA05T087/document

Internet

http://www.theses.fr/2013PA05T087/document

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