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. 2012 Jun 19;109(25):10030-5.
doi: 10.1073/pnas.1200841109. Epub 2012 Jun 4.

Force of infection is key to understanding the epidemiology of Plasmodium falciparum malaria in Papua New Guinean children

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Force of infection is key to understanding the epidemiology of Plasmodium falciparum malaria in Papua New Guinean children

Ivo Mueller et al. Proc Natl Acad Sci U S A. .

Abstract

Genotyping Plasmodium falciparum parasites in longitudinal studies provides a robust approach to estimating force of infection (FOI) in the presence of superinfections. The molecular parameter (mol)FOI, defined as the number of new P. falciparum clones acquired over time, describes basic malaria epidemiology and is suitable for measuring outcomes of interventions. This study was designed to test whether (mol)FOI influenced the risk of clinical malaria episodes and how far (mol)FOI reflected environmental determinants of transmission, such as seasonality and small-scale geographical variation or effects of insecticide-treated nets (ITNs). Two hundred sixty-four children 1-3 y of age from Papua New Guinea were followed over 16 mo. Individual parasite clones were tracked longitudinally by genotyping. On average, children acquired 5.9 (SD 9.6) new P. falciparum infections per child per y. (mol)FOI showed a pronounced seasonality, was strongly reduced in children using ITNs (incidence rate ratio, 0.49; 95% confidence interval, [0.38, 0.61]), increased with age, and significantly varied within villages (P = 0.001). The acquisition of new parasite clones was the major factor determining the risk of clinical illness (incidence rate ratio, 2.12; 95% confidence interval, [1.93, 2.31]). Adjusting for individual differences in (mol)FOI completely explained spatial variation, age trends, and the effect of ITN use. This study highlights the suitability of (mol)FOI as a measure of individual exposure and its central role in malaria epidemiology. It has substantial advantages over entomological measures in studies of transmission patterns, and could be used in analyses of host variation in susceptibility, in field efficacy trials of novel interventions or vaccines, and for evaluating intervention effects.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Patterns of prevalence, MOI, molFOI, and incidence of P. falciparum malaria in relation to age, season, and ITN use. Estimated curves from generalized additive models and 95% confidence intervals are shown.
Fig. 2.
Fig. 2.
Incidence rate ratios for age and seasonality on incidence of P. falciparum (>2,500/μL) before (blue) and after (red) adjusting for difference in molFOI.

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