Abstract

After decades of research, our understanding of when and why individuals infected with Plasmodium falciparum develop clinical malaria is still limited. Correlates of immune protection are often sought through prospective cohort studies, where measured host factors are correlated against the incidence of clinical disease over a set period of time. However, robustly inferring individual-level protection from these population-level findings has proved difficult due to small effect sizes and high levels of variance underlying such data. In order to better understand the nature of these inter-individual variations, we analysed the long-term malaria epidemiology of children ≤12 years old growing up under seasonal exposure to the parasite in the sub-location of Junju, Kenya. Despite the cohort’s limited geographic expanse (ca. 3km x 10km), our data reveal a high degree of spatial and temporal variability in malaria prevalence and incidence rates, causing individuals to experience varying levels of exposure to the parasite at different times during their life. Analysing individual-level infection histories further reveal an unexpectedly high variability in the rate at which children experience clinical malaria episodes. Besides exposure to the parasite, measured as disease prevalence in the surrounding area, we find that the birth time of year has an independent effect on the individual’s risk of experiencing a clinical episode. Furthermore, our analyses reveal that those children with a history of an above average number of episodes are more likely to experience further episodes during the upcoming transmission season. These findings are indicative of phenotypic differences in the rates by which children acquire clinical protection to malaria and offer important insights into the natural variability underlying malaria epidemiology.

Highlights

  • Because prevalence index (PI) is based on recorded symptomatic episodes in children only we cannot say whether the observed spatial patterns are indicative of dynamically changing transmission hotspots or of potential heterogeneities in the immunity landscape across the cohort, or both

  • In contrast to the similarity in the age distribution between individuals who experience a clinical episode or not (Figure 4A), accounting for inter-individual level variation we find that older children have a slightly reduced risk of experiencing an episode compared to younger ones (-0.15, 95% credible intervals (CI) [-0.24, -0.07])

  • Our results suggest that beside exposure, by means of disease prevalence in the surrounding area (PI), individual-level differences in susceptibility could have a significant effect on the risk of experiencing a clinical episode in a given year

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Summary

Introduction

Wendy Prudhomme-O'Meara, Duke individual-level infection histories further reveal an unexpectedly high variability in the rate at which children experience clinical malaria episodes. Besides exposure to the parasite, measured as disease prevalence in the surrounding area, we find that the birth time of year has an independent effect on the individual’s risk of experiencing a clinical episode. Our analyses reveal that those children with a history of an above average number of episodes are more likely to experience further episodes during the upcoming transmission season. These findings are indicative of phenotypic differences in the rates by which children acquire clinical protection to malaria and offer important insights into the natural variability underlying malaria epidemiology. Author roles: Valletta JJ: Data Curation, Formal Analysis, Methodology, Visualization, Writing – Original Draft Preparation; Addy JWG: Data Curation, Formal Analysis, Methodology, Writing – Review & Editing; Reid AJ: Data Curation, Writing – Review & Editing; Ndungu FM: Data Curation, Writing – Review & Editing; Bediako Y: Writing – Review & Editing; Mwacharo J: Data Curation; Said K: Data Curation; Musyoki J: Data Curation; Ngoi JM: Data Curation; Wambua J: Data Curation; Otieno E: Data Curation; Berriman M: Funding Acquisition, Writing – Review & Editing; Bejon P: Funding Acquisition, Writing – Review & Editing; Marsh K: Funding Acquisition, Writing – Review & Editing; Langhorne J: Funding Acquisition, Writing – Review & Editing; Newbold CI: Funding Acquisition, Writing – Review & Editing; Recker M: Formal Analysis, Funding Acquisition, Methodology, Visualization, Writing – Original Draft Preparation

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