Estimation of parasitic infection dynamics when detectability is imperfect

Nico J.D. Nagelkerke, Ruth N. Chunge, Stephen N. Kinoti

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

The simultaneous estimation of infection rate, cure rate and detectability of parasitic infections is considered. A new method for this estimation based on a simple statistical model assuming constant transition rates between parasite states is proposed. Repeated observations on the infection status of the same individuals is required for this method. A maximum likelihood approach is used for parameter estimation and the calculation of standard errors of the estimates. The method is illustrated by a longitudinal study of the presence of Giardia lamblia infection in Kenyan children.

Original languageEnglish
Pages (from-to)1211-1219
Number of pages9
JournalStatistics in Medicine
Volume9
Issue number10
DOIs
Publication statusPublished - Oct 1990
Externally publishedYes

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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