Network analysis of cattle movements in Ecuador.


Journal

Preventive veterinary medicine
ISSN: 1873-1716
Titre abrégé: Prev Vet Med
Pays: Netherlands
ID NLM: 8217463

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 01 09 2021
revised: 20 12 2021
accepted: 03 03 2022
pubmed: 14 3 2022
medline: 1 4 2022
entrez: 13 3 2022
Statut: ppublish

Résumé

We used cattle movement data in Ecuador for 2017 and 2018 to build two types of cattle networks: a network including all cattle movements accounting for a disease of rapid spread like foot and mouth disease and a network including only the cows accounting for brucellosis, a disease of slow evolution occurring mainly in adult females. Parishes (the smallest geographical units) were considered as nodes and cattle movements between parishes as links. Network indicators calculated at the annual and monthly levels were close for both types of networks. For both networks, the largest strong component at the annual level included > 90% of nodes and the largest weak component included all nodes indicating a very low fragmentation. A percolation analysis indicated that most of the parishes needed to be removed to eliminate the largest strong components. Based on some network characteristics we established that a highly transmissible disease could spread rapidly and that an infection of slower transmission such as brucellosis could spread within local clusters. These features should be taken into account when considering preventing measures in Ecuador in the case of an emerging disease like foot and mouth disease or control measures for an endemic disease like brucellosis.

Identifiants

pubmed: 35279532
pii: S0167-5877(22)00041-1
doi: 10.1016/j.prevetmed.2022.105608
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105608

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Rommel Lenin Vinueza (RL)

University Paris-Est, Anses, Laboratory for Animal Health, Epidemiology Unit, Maisons-Alfort 94700, France; Universidad San Francisco de Quito, Escuela de Medicina Veterinaria, Cumbayá, Quito 150157, Ecuador.

Benoit Durand (B)

University Paris-Est, Anses, Laboratory for Animal Health, Epidemiology Unit, Maisons-Alfort 94700, France.

Gina Zanella (G)

University Paris-Est, Anses, Laboratory for Animal Health, Epidemiology Unit, Maisons-Alfort 94700, France. Electronic address: gina.zanella@anses.fr.

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Classifications MeSH