Modeling the human infectious reservoir for malaria control: Does heterogeneity matter?

Elsa Hansen, Caroline O. Buckee

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations

Abstract

The complex biological relationships underlying malaria transmission make it difficult to predict the impact of interventions. Mathematical models simplify these relationships and capture essential components of malaria transmission and epidemiology. Models designed to predict the impact of control programs generally infer a relationship between transmission intensity and human infectiousness to the mosquito, requiring assumptions about how infectiousness varies between individuals. A lack of understanding of human infectiousness precludes a standard approach to this inference, however, and field data reveal no obvious correlation between transmission intensity and human population infectiousness. We argue that model assumptions will have important consequences for predicting the impact of control programs.

Original languageEnglish (US)
Pages (from-to)270-275
Number of pages6
JournalTrends in Parasitology
Volume29
Issue number6
DOIs
StatePublished - Jun 2013

All Science Journal Classification (ASJC) codes

  • Parasitology
  • Infectious Diseases

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