Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups
The ecology of pathogens, and particularly their emergence in multi-host systems, is complex. New approaches are needed to reduce superficial complexities to a level that still allows scientists to analyse underlying and more fundamental processes. One promising approach for simplification is to use an epidemiological-function classification to describe ecological diversity in a way that relates directly to pathogen dynamics. In this article, we develop and apply the epidemiological functional group (EFG) concept to explore the relationships between wild bird communities and avian influenza virus (AIV) in three ecosystems in southern Africa. Using a two year dataset that combined bird counts and bimonthly sampling for AIV, we allocated each bird species to a set of EFGs that captured two overarching epidemiological functions: the capacity of species to maintain AIV in the system, and their potential to introduce the virus. Comparing AIV prevalence between EFGs suggested that the hypothesis that anseriforms (ducks) and charadriiforms (waders) drive AIV epidemiology cannot entirely explain the high prevalence observed in some EFGs. If anseriforms do play an important role in AIV dynamics in each of the three ecosystems, the role of other species in the local maintenance of AIV cannot be ruled out. The EFG concept thus helped us to identify gaps in knowledge and to highlight understudied bird groups that might play a role in AIV epidemiology. In general, the use of EFGs has potential for generating a range of valuable insights in epidemiology, just as functional group approaches have done in ecology.
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Subjects: | L73 - Maladies des animaux, L20 - Écologie animale, Influenzavirus aviaire, épidémiologie, écosystème, oiseau, animal sauvage, surveillance épidémiologique, Anseriformes, Charadriiformes, relation hôte pathogène, http://aims.fao.org/aos/agrovoc/c_9017, http://aims.fao.org/aos/agrovoc/c_2615, http://aims.fao.org/aos/agrovoc/c_2482, http://aims.fao.org/aos/agrovoc/c_935, http://aims.fao.org/aos/agrovoc/c_24103, http://aims.fao.org/aos/agrovoc/c_16411, http://aims.fao.org/aos/agrovoc/c_464, http://aims.fao.org/aos/agrovoc/c_1502, http://aims.fao.org/aos/agrovoc/c_34017, http://aims.fao.org/aos/agrovoc/c_7252, http://aims.fao.org/aos/agrovoc/c_8516, |
Online Access: | http://agritrop.cirad.fr/566546/ http://agritrop.cirad.fr/566546/1/document_566546.pdf |
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dig-cirad-fr-5665462024-01-28T20:56:37Z http://agritrop.cirad.fr/566546/ http://agritrop.cirad.fr/566546/ Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups. Caron Alexandre, De Garine-Wichatitsky Michel, Ndlovu Mduduzi, Cumming Graeme S.. 2012. Veterinary Research, 43 (73), 11 p.https://doi.org/10.1186/1297-9716-43-73 <https://doi.org/10.1186/1297-9716-43-73> Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups Caron, Alexandre De Garine-Wichatitsky, Michel Ndlovu, Mduduzi Cumming, Graeme S. eng 2012 Veterinary Research L73 - Maladies des animaux L20 - Écologie animale Influenzavirus aviaire épidémiologie écosystème oiseau animal sauvage surveillance épidémiologique Anseriformes Charadriiformes relation hôte pathogène http://aims.fao.org/aos/agrovoc/c_9017 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_935 http://aims.fao.org/aos/agrovoc/c_24103 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_464 http://aims.fao.org/aos/agrovoc/c_1502 http://aims.fao.org/aos/agrovoc/c_34017 Afrique du Sud Zimbabwe http://aims.fao.org/aos/agrovoc/c_7252 http://aims.fao.org/aos/agrovoc/c_8516 The ecology of pathogens, and particularly their emergence in multi-host systems, is complex. New approaches are needed to reduce superficial complexities to a level that still allows scientists to analyse underlying and more fundamental processes. One promising approach for simplification is to use an epidemiological-function classification to describe ecological diversity in a way that relates directly to pathogen dynamics. In this article, we develop and apply the epidemiological functional group (EFG) concept to explore the relationships between wild bird communities and avian influenza virus (AIV) in three ecosystems in southern Africa. Using a two year dataset that combined bird counts and bimonthly sampling for AIV, we allocated each bird species to a set of EFGs that captured two overarching epidemiological functions: the capacity of species to maintain AIV in the system, and their potential to introduce the virus. Comparing AIV prevalence between EFGs suggested that the hypothesis that anseriforms (ducks) and charadriiforms (waders) drive AIV epidemiology cannot entirely explain the high prevalence observed in some EFGs. If anseriforms do play an important role in AIV dynamics in each of the three ecosystems, the role of other species in the local maintenance of AIV cannot be ruled out. The EFG concept thus helped us to identify gaps in knowledge and to highlight understudied bird groups that might play a role in AIV epidemiology. In general, the use of EFGs has potential for generating a range of valuable insights in epidemiology, just as functional group approaches have done in ecology. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/566546/1/document_566546.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1186/1297-9716-43-73 10.1186/1297-9716-43-73 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=216147 info:eu-repo/semantics/altIdentifier/doi/10.1186/1297-9716-43-73 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1186/1297-9716-43-73 |
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L73 - Maladies des animaux L20 - Écologie animale Influenzavirus aviaire épidémiologie écosystème oiseau animal sauvage surveillance épidémiologique Anseriformes Charadriiformes relation hôte pathogène http://aims.fao.org/aos/agrovoc/c_9017 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_935 http://aims.fao.org/aos/agrovoc/c_24103 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_464 http://aims.fao.org/aos/agrovoc/c_1502 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_7252 http://aims.fao.org/aos/agrovoc/c_8516 L73 - Maladies des animaux L20 - Écologie animale Influenzavirus aviaire épidémiologie écosystème oiseau animal sauvage surveillance épidémiologique Anseriformes Charadriiformes relation hôte pathogène http://aims.fao.org/aos/agrovoc/c_9017 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_935 http://aims.fao.org/aos/agrovoc/c_24103 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_464 http://aims.fao.org/aos/agrovoc/c_1502 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_7252 http://aims.fao.org/aos/agrovoc/c_8516 |
spellingShingle |
L73 - Maladies des animaux L20 - Écologie animale Influenzavirus aviaire épidémiologie écosystème oiseau animal sauvage surveillance épidémiologique Anseriformes Charadriiformes relation hôte pathogène http://aims.fao.org/aos/agrovoc/c_9017 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_935 http://aims.fao.org/aos/agrovoc/c_24103 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_464 http://aims.fao.org/aos/agrovoc/c_1502 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_7252 http://aims.fao.org/aos/agrovoc/c_8516 L73 - Maladies des animaux L20 - Écologie animale Influenzavirus aviaire épidémiologie écosystème oiseau animal sauvage surveillance épidémiologique Anseriformes Charadriiformes relation hôte pathogène http://aims.fao.org/aos/agrovoc/c_9017 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_935 http://aims.fao.org/aos/agrovoc/c_24103 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_464 http://aims.fao.org/aos/agrovoc/c_1502 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_7252 http://aims.fao.org/aos/agrovoc/c_8516 Caron, Alexandre De Garine-Wichatitsky, Michel Ndlovu, Mduduzi Cumming, Graeme S. Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups |
description |
The ecology of pathogens, and particularly their emergence in multi-host systems, is complex. New approaches are needed to reduce superficial complexities to a level that still allows scientists to analyse underlying and more fundamental processes. One promising approach for simplification is to use an epidemiological-function classification to describe ecological diversity in a way that relates directly to pathogen dynamics. In this article, we develop and apply the epidemiological functional group (EFG) concept to explore the relationships between wild bird communities and avian influenza virus (AIV) in three ecosystems in southern Africa. Using a two year dataset that combined bird counts and bimonthly sampling for AIV, we allocated each bird species to a set of EFGs that captured two overarching epidemiological functions: the capacity of species to maintain AIV in the system, and their potential to introduce the virus. Comparing AIV prevalence between EFGs suggested that the hypothesis that anseriforms (ducks) and charadriiforms (waders) drive AIV epidemiology cannot entirely explain the high prevalence observed in some EFGs. If anseriforms do play an important role in AIV dynamics in each of the three ecosystems, the role of other species in the local maintenance of AIV cannot be ruled out. The EFG concept thus helped us to identify gaps in knowledge and to highlight understudied bird groups that might play a role in AIV epidemiology. In general, the use of EFGs has potential for generating a range of valuable insights in epidemiology, just as functional group approaches have done in ecology. |
format |
article |
topic_facet |
L73 - Maladies des animaux L20 - Écologie animale Influenzavirus aviaire épidémiologie écosystème oiseau animal sauvage surveillance épidémiologique Anseriformes Charadriiformes relation hôte pathogène http://aims.fao.org/aos/agrovoc/c_9017 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_935 http://aims.fao.org/aos/agrovoc/c_24103 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_464 http://aims.fao.org/aos/agrovoc/c_1502 http://aims.fao.org/aos/agrovoc/c_34017 http://aims.fao.org/aos/agrovoc/c_7252 http://aims.fao.org/aos/agrovoc/c_8516 |
author |
Caron, Alexandre De Garine-Wichatitsky, Michel Ndlovu, Mduduzi Cumming, Graeme S. |
author_facet |
Caron, Alexandre De Garine-Wichatitsky, Michel Ndlovu, Mduduzi Cumming, Graeme S. |
author_sort |
Caron, Alexandre |
title |
Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups |
title_short |
Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups |
title_full |
Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups |
title_fullStr |
Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups |
title_full_unstemmed |
Linking avian communities and avian influenza ecology in southern Africa using epidemiological functional groups |
title_sort |
linking avian communities and avian influenza ecology in southern africa using epidemiological functional groups |
url |
http://agritrop.cirad.fr/566546/ http://agritrop.cirad.fr/566546/1/document_566546.pdf |
work_keys_str_mv |
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_version_ |
1792498333284040704 |