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Open AccessResearch article

Parasite threshold associated with clinical malaria in areas of different transmission intensities in north eastern Tanzania

Bruno P Mmbando1,2,3 email, John P Lusingu2 email, Lasse S Vestergaard3 email, Martha M Lemnge2 email, Thor G Theander3 email and Thomas H Scheike2 email

Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark

National Institute for Medical Research, Tanga Centre, Tanga, Tanzania

Centre for Medical Parasitology, Institute for Medical Microbiology and Immunology, University of Copenhagen, Copenhagen, Denmark

author email corresponding author email

BMC Medical Research Methodology 2009, 9:75doi:10.1186/1471-2288-9-75

Published: 12 November 2009

Abstract

Background

In Sub-Sahara Africa, malaria due to Plasmodium falciparum is the main cause of ill health. Evaluation of malaria interventions, such as drugs and vaccines depends on clinical definition of the disease, which is still a challenge due to lack of distinct malaria specific clinical features. Parasite threshold is used in definition of clinical malaria in evaluation of interventions. This however, is likely to be influenced by other factors such as transmission intensity as well as individual level of immunity against malaria.

Methods

This paper describes step function and dose response model with threshold parameter as a tool for estimation of parasite threshold for onset of malaria fever in highlands (low transmission) and lowlands (high transmission intensity) strata. These models were fitted using logistic regression stratified by strata and age groups (0-1, 2-3, 4-5, 6-9, and 10-19 years). Dose response model was further extended to fit all age groups combined in each stratum. Sub-sampling bootstrap was used to compute confidence intervals. Cross-sectional and passive case detection data from Korogwe district, north eastern Tanzania were used.

Results

Dose response model was better in the estimation of parasite thresholds. Parasite thresholds (scale = log parasite/μL) were high in lowlands than in highlands. In the lowlands, children in age group 4-5 years had the highest parasite threshold (8.73) while individuals aged 10-19 years had the lowest (6.81). In the highlands, children aged 0-1 years had the highest threshold (7.12) and those aged 10-19 years had the lowest (4.62). Regression analysis with all ages combined showed similar pattern of thresholds in both strata, whereby, in the lowlands the threshold was highest in age group 2-5 years and lowest in older individuals, while in the highlands was highest in age group 0-1 and decreased with increased age. The sensitivity of parasite threshold by age group ranged from 64%-74% in the lowlands and 67%-97% in the highlands; while specificity ranged between 67%-90% in the lowlands and 37%-73% in the highlands.

Conclusion

Dose response model with threshold parameter can be used to estimate parasite threshold associated with malaria fever onset. Parasite threshold were lower in older individuals and in low malaria transmission area.


© 1999-2009 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.