Parasite prevalence: a static measure of dynamic infections.

Published

Journal Article

The intensity of malaria transmission is often measured by looking at the fraction of individuals infected at a given point in time. However, malaria infections in individuals are dynamic, leading to uncertainty about whether a cross-sectional survey that represents a single snapshot in time is a useful representation of a temporally complex process. In this analysis, we examine the impact of parasite density fluctuations on the measurement of parasite prevalence. Our results show that parasite prevalence may be underestimated by 20% or more, depending on the sensitivity of parasite detection.

Full Text

Duke Authors

Cited Authors

  • O'Meara, WP; Collins, WE; McKenzie, FE

Published Date

  • August 2007

Published In

Volume / Issue

  • 77 / 2

Start / End Page

  • 246 - 249

PubMed ID

  • 17690394

Pubmed Central ID

  • 17690394

International Standard Serial Number (ISSN)

  • 0002-9637

Language

  • eng

Conference Location

  • United States