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High-resolution contact networks of free-ranging domestic dogs Canis familiaris and implications for transmission of infection.
PLoS Negl Trop Dis 2019; 13(7):e0007565PN

Abstract

Contact patterns strongly influence the dynamics of disease transmission in both human and non-human animal populations. Domestic dogs Canis familiaris are a social species and are a reservoir for several zoonotic infections, yet few studies have empirically determined contact patterns within dog populations. Using high-resolution proximity logging technology, we characterised the contact networks of free-ranging domestic dogs from two settlements (n = 108 dogs, covering >80% of the population in each settlement) in rural Chad. We used these data to simulate the transmission of an infection comparable to rabies and investigated the effects of including observed contact heterogeneities on epidemic outcomes. We found that dog contact networks displayed considerable heterogeneity, particularly in the duration of contacts and that the network had communities that were highly correlated with household membership. Simulations using observed contact networks had smaller epidemic sizes than those that assumed random mixing, demonstrating the unsuitability of homogenous mixing models in predicting epidemic outcomes. When contact heterogeneities were included in simulations, the network position of the individual initially infected had an important effect on epidemic outcomes. The risk of an epidemic occurring was best predicted by the initially infected individual's ranked degree, while epidemic size was best predicted by the individual's ranked eigenvector centrality. For dogs in one settlement, we found that ranked eigenvector centrality was correlated with range size. Our results demonstrate that observed heterogeneities in contacts are important for the prediction of epidemiological outcomes in free-ranging domestic dogs. We show that individuals presenting a higher risk for disease transmission can be identified by their network position and provide evidence that observable traits hold potential for informing targeted disease management strategies.

Authors+Show Affiliations

Environment and Sustainability Institute, University of Exeter, Cornwall, United Kingdom.Data Science Laboratory, Institute for Scientific Interchange Foundation, Torino, Italy.Data Science Laboratory, Institute for Scientific Interchange Foundation, Torino, Italy.Data Science Laboratory, Institute for Scientific Interchange Foundation, Torino, Italy.Environment and Sustainability Institute, University of Exeter, Cornwall, United Kingdom.Guinea Worm Eradication Programme, Ministry of Public Health, N'Djamena, Republic of Chad.Environment and Sustainability Institute, University of Exeter, Cornwall, United Kingdom.The Carter Center, Atlanta, Georgia, United States of America.Environment and Sustainability Institute, University of Exeter, Cornwall, United Kingdom.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31306425

Citation

Wilson-Aggarwal, Jared K., et al. "High-resolution Contact Networks of Free-ranging Domestic Dogs Canis Familiaris and Implications for Transmission of Infection." PLoS Neglected Tropical Diseases, vol. 13, no. 7, 2019, pp. e0007565.
Wilson-Aggarwal JK, Ozella L, Tizzoni M, et al. High-resolution contact networks of free-ranging domestic dogs Canis familiaris and implications for transmission of infection. PLoS Negl Trop Dis. 2019;13(7):e0007565.
Wilson-Aggarwal, J. K., Ozella, L., Tizzoni, M., Cattuto, C., Swan, G. J. F., Moundai, T., ... McDonald, R. A. (2019). High-resolution contact networks of free-ranging domestic dogs Canis familiaris and implications for transmission of infection. PLoS Neglected Tropical Diseases, 13(7), pp. e0007565. doi:10.1371/journal.pntd.0007565.
Wilson-Aggarwal JK, et al. High-resolution Contact Networks of Free-ranging Domestic Dogs Canis Familiaris and Implications for Transmission of Infection. PLoS Negl Trop Dis. 2019;13(7):e0007565. PubMed PMID: 31306425.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - High-resolution contact networks of free-ranging domestic dogs Canis familiaris and implications for transmission of infection. AU - Wilson-Aggarwal,Jared K, AU - Ozella,Laura, AU - Tizzoni,Michele, AU - Cattuto,Ciro, AU - Swan,George J F, AU - Moundai,Tchonfienet, AU - Silk,Matthew J, AU - Zingeser,James A, AU - McDonald,Robbie A, Y1 - 2019/07/15/ PY - 2018/12/03/received PY - 2019/06/20/accepted PY - 2019/07/25/revised PY - 2019/7/16/pubmed PY - 2019/7/16/medline PY - 2019/7/16/entrez SP - e0007565 EP - e0007565 JF - PLoS neglected tropical diseases JO - PLoS Negl Trop Dis VL - 13 IS - 7 N2 - Contact patterns strongly influence the dynamics of disease transmission in both human and non-human animal populations. Domestic dogs Canis familiaris are a social species and are a reservoir for several zoonotic infections, yet few studies have empirically determined contact patterns within dog populations. Using high-resolution proximity logging technology, we characterised the contact networks of free-ranging domestic dogs from two settlements (n = 108 dogs, covering >80% of the population in each settlement) in rural Chad. We used these data to simulate the transmission of an infection comparable to rabies and investigated the effects of including observed contact heterogeneities on epidemic outcomes. We found that dog contact networks displayed considerable heterogeneity, particularly in the duration of contacts and that the network had communities that were highly correlated with household membership. Simulations using observed contact networks had smaller epidemic sizes than those that assumed random mixing, demonstrating the unsuitability of homogenous mixing models in predicting epidemic outcomes. When contact heterogeneities were included in simulations, the network position of the individual initially infected had an important effect on epidemic outcomes. The risk of an epidemic occurring was best predicted by the initially infected individual's ranked degree, while epidemic size was best predicted by the individual's ranked eigenvector centrality. For dogs in one settlement, we found that ranked eigenvector centrality was correlated with range size. Our results demonstrate that observed heterogeneities in contacts are important for the prediction of epidemiological outcomes in free-ranging domestic dogs. We show that individuals presenting a higher risk for disease transmission can be identified by their network position and provide evidence that observable traits hold potential for informing targeted disease management strategies. SN - 1935-2735 UR - https://www.unboundmedicine.com/medline/citation/31306425/High-resolution_contact_networks_of_free-ranging_domestic_dogs_Canis_familiaris_and_implications_for_transmission_of_infection L2 - http://dx.plos.org/10.1371/journal.pntd.0007565 DB - PRIME DP - Unbound Medicine ER -