Detecting emerging transmissibility of avian influenza virus in human households

R.M. van Boven, M. Koopmans, M. van Du Ry Beest Holle, A. Meijer, D. Klinkenberg, C. Donnelly, J.A.P. Heesterbeek

Research output: Contribution to journalArticleAcademicpeer-review

32 Citations (Scopus)

Abstract

Accumulating infections of highly pathogenic H5N1 avian influenza in humans underlines the need to track the ability of these viruses to spread among humans. A human-transmissible avian influenza virus is expected to cause clusters of infections in humans living in close contact. Therefore, epidemiological analysis of infection clusters in human households is of key importance. Infection clusters may arise from transmission events from (i) the animal reservoir, (ii) humans who were infected by animals (primary human-to-human transmission), or (iii) humans who were infected by humans (secondary human-to-human transmission). Here we propose a method of analysing household infection data to detect changes in the transmissibility of avian influenza viruses in humans at an early stage. The method is applied to an outbreak of H7N7 avian influenza virus in The Netherlands that was the cause of more than 30 human-to-human transmission events. The analyses indicate that secondary human-to-human transmission is plausible for the Dutch household infection data. Based on the estimates of the within-household transmission parameters, we evaluate the effectiveness of antiviral prophylaxis, and conclude that it is unlikely that all household infections can be prevented with current antiviral drugs. We discuss the applicability of our method for the detection of emerging human-to-human transmission of avian influenza viruses in particular, and for the analysis of within-household infection data in general.
Original languageEnglish
Article numbere145
Number of pages9
JournalPLoS Computational Biology
Volume3
Issue number7
DOIs
Publication statusPublished - 2007

Keywords

  • a virus
  • epidemic models
  • host-range
  • h5n1
  • asia
  • netherlands
  • infections
  • emergence
  • evolution
  • pathogens

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