Literature DB >> 21352759

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

Hiroshi Nishiura1, Bethany Hoye, Marcel Klaassen, Silke Bauer, Hans Heesterbeek.   

Abstract

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.

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Year:  2009        PMID: 21352759     DOI: 10.1016/j.epidem.2009.04.002

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  16 in total

1.  Missing information in animal surveillance of MERS-CoV.

Authors:  Hiroshi Nishiura; Keisuke Ejima; Kenji Mizumoto
Journal:  Lancet Infect Dis       Date:  2014-02       Impact factor: 25.071

2.  Eight challenges in modelling disease ecology in multi-host, multi-agent systems.

Authors:  Michael G Buhnerkempe; Mick G Roberts; Andrew P Dobson; Hans Heesterbeek; Peter J Hudson; James O Lloyd-Smith
Journal:  Epidemics       Date:  2014-12-09       Impact factor: 4.396

3.  Characterizing reservoirs of infection and the maintenance of pathogens in ecosystems.

Authors:  M G Roberts; J A P Heesterbeek
Journal:  J R Soc Interface       Date:  2020-01-15       Impact factor: 4.118

4.  Pteropid bats are confirmed as the reservoir hosts of henipaviruses: a comprehensive experimental study of virus transmission.

Authors:  Kim Halpin; Alex D Hyatt; Rhys Fogarty; Deborah Middleton; John Bingham; Jonathan H Epstein; Sohayati Abdul Rahman; Tom Hughes; Craig Smith; Hume E Field; Peter Daszak
Journal:  Am J Trop Med Hyg       Date:  2011-11       Impact factor: 2.345

5.  Pathogen Presence in Wild Birds Inhabiting Landfills in Central Iran.

Authors:  Mansoureh Malekian; Javad Shagholian; Zahra Hosseinpour
Journal:  Ecohealth       Date:  2021-03-30       Impact factor: 3.184

6.  Multiple contributory factors to the age distribution of disease cases: a modeling study in the context of influenza A(H3N2v).

Authors:  Manoj Gambhir; David L Swerdlow; Lyn Finelli; Maria D Van Kerkhove; Matthew Biggerstaff; Simon Cauchemez; Neil M Ferguson
Journal:  Clin Infect Dis       Date:  2013-07       Impact factor: 9.079

7.  Genome wide SNP discovery, analysis and evaluation in mallard (Anas platyrhynchos).

Authors:  Robert H S Kraus; Hindrik H D Kerstens; Pim Van Hooft; Richard P M A Crooijmans; Jan J Van Der Poel; Johan Elmberg; Alain Vignal; Yinhua Huang; Ning Li; Herbert H T Prins; Martien A M Groenen
Journal:  BMC Genomics       Date:  2011-03-16       Impact factor: 3.969

8.  Assortativity and the Probability of Epidemic Extinction: A Case Study of Pandemic Influenza A (H1N1-2009).

Authors:  Hiroshi Nishiura; Alex R Cook; Benjamin J Cowling
Journal:  Interdiscip Perspect Infect Dis       Date:  2010-12-23

9.  Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009.

Authors:  Hiroshi Nishiura; Gerardo Chowell; Muntaser Safan; Carlos Castillo-Chavez
Journal:  Theor Biol Med Model       Date:  2010-01-07       Impact factor: 2.432

10.  Identifying transmission cycles at the human-animal interface: the role of animal reservoirs in maintaining gambiense human african trypanosomiasis.

Authors:  Sebastian Funk; Hiroshi Nishiura; Hans Heesterbeek; W John Edmunds; Francesco Checchi
Journal:  PLoS Comput Biol       Date:  2013-01-17       Impact factor: 4.475

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