How to find natural reservoir hosts from endemic prevalence in a multi-host population : a case study of influenza in waterfowl

Nishiura, Hiroshi, Hoye, Bethany, Klaassen, Marcel, Bauer, Silke and Heesterbeek, Hans 2009, How to find natural reservoir hosts from endemic prevalence in a multi-host population : a case study of influenza in waterfowl, Epidemics, vol. 1, no. 2, pp. 118-128, doi: 10.1016/j.epidem.2009.04.002.

Attached Files
Name Description MIMEType Size Downloads

Title How to find natural reservoir hosts from endemic prevalence in a multi-host population : a case study of influenza in waterfowl
Author(s) Nishiura, Hiroshi
Hoye, BethanyORCID iD for Hoye, Bethany orcid.org/0000-0001-9502-5582
Klaassen, MarcelORCID iD for Klaassen, Marcel orcid.org/0000-0003-3907-9599
Bauer, Silke
Heesterbeek, Hans
Journal name Epidemics
Volume number 1
Issue number 2
Start page 118
End page 128
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2009-06
ISSN 1755-4365
Keyword(s) birds
disease reservoirs
estimation techniques
epidemiology
influenza
models (theoretical)
Summary The transmission dynamics of infectious diseases critically depend on reservoir hosts, which can sustain the pathogen (or maintain the transmission) in the population even in the absence of other hosts. Although a theoretical foundation of the transmission dynamics in a multi-host population has been established, no quantitative methods exist for the identification of natural reservoir hosts. For a host to maintain the transmission alone, the host-specific reproduction number (U), interpreted as the average number of secondary transmissions caused by a single primary case in the host(s) of interest in the absence of all other hosts, must be greater than unity. If the host-excluded reproduction number (Q), representing the average number of secondary transmissions per single primary case in other hosts in the absence of the host(s) of interest, is below unity, transmission cannot be maintained in the multi-host population in the absence of the focal host(s).

The present study proposes a simple method for the identification of reservoir host(s) from observed endemic prevalence data across a range of host species. As an example, we analyze an aggregated surveillance dataset of influenza A virus in wild birds among which dabbling ducks exhibit higher prevalence compared to other bird species. Since the heterogeneous contact patterns between different host species are not directly observable, we test four different contact structures to account for the uncertainty. Meeting the requirements of U > 1 and Q < 1 for all four different contact structures, mallards and other dabbling ducks most likely constitute the reservoir community which plays a predominant role in maintaining the transmission of influenza A virus in the water bird population. We further discuss epidemiological issues which are concerned with the interpretation of influenza prevalence data, identifying key features to be fully clarified in the future.
Language eng
DOI 10.1016/j.epidem.2009.04.002
Field of Research 060299 Ecology not elsewhere classified
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2009, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30035083

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 22 times in TR Web of Science
Scopus Citation Count Cited 25 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 441 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Mon, 30 May 2011, 10:59:14 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.