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Social Network Predicts Exposure to Respiratory Infection in a Wild Chimpanzee Group
Respiratory pathogens are expected to spread through social contacts, but outbreaks often occur quickly and unpredictably, making it challenging to simultaneously record social contact and disease incidence data, especially in wildlife. Thus, the role of social contacts in the spread of infectious d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786864/ https://www.ncbi.nlm.nih.gov/pubmed/33404931 http://dx.doi.org/10.1007/s10393-020-01507-7 |
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author | Sandel, Aaron A. Rushmore, Julie Negrey, Jacob D. Mitani, John C. Lyons, Daniel M. Caillaud, Damien |
author_facet | Sandel, Aaron A. Rushmore, Julie Negrey, Jacob D. Mitani, John C. Lyons, Daniel M. Caillaud, Damien |
author_sort | Sandel, Aaron A. |
collection | PubMed |
description | Respiratory pathogens are expected to spread through social contacts, but outbreaks often occur quickly and unpredictably, making it challenging to simultaneously record social contact and disease incidence data, especially in wildlife. Thus, the role of social contacts in the spread of infectious disease is often treated as an assumption in disease simulation studies, and few studies have empirically demonstrated how pathogens spread through social networks. In July–August 2015, an outbreak of respiratory disease was observed in a wild chimpanzee community in Kibale National Park, Uganda, during an ongoing behavioral study of male chimpanzees, offering a rare opportunity to evaluate how social behavior affects individual exposure to socially transmissible diseases. From May to August 2015, we identified adult and adolescent male chimpanzees displaying coughs and rhinorrhea and recorded 5-m proximity data on males (N = 40). Using the network k-test, we found significant relationships between male network connectivity and the distribution of cases within the network, supporting the importance of short-distance contacts for the spread of the respiratory outbreak. Additionally, chimpanzees central to the network were more likely to display clinical signs than those with fewer connections. Although our analyses were limited to male chimpanzees, these findings underscore the value of social connectivity data in predicting disease outcomes and elucidate a potential evolutionary cost of being social. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s10393-020-01507-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7786864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-77868642021-01-06 Social Network Predicts Exposure to Respiratory Infection in a Wild Chimpanzee Group Sandel, Aaron A. Rushmore, Julie Negrey, Jacob D. Mitani, John C. Lyons, Daniel M. Caillaud, Damien Ecohealth Original Contribution Respiratory pathogens are expected to spread through social contacts, but outbreaks often occur quickly and unpredictably, making it challenging to simultaneously record social contact and disease incidence data, especially in wildlife. Thus, the role of social contacts in the spread of infectious disease is often treated as an assumption in disease simulation studies, and few studies have empirically demonstrated how pathogens spread through social networks. In July–August 2015, an outbreak of respiratory disease was observed in a wild chimpanzee community in Kibale National Park, Uganda, during an ongoing behavioral study of male chimpanzees, offering a rare opportunity to evaluate how social behavior affects individual exposure to socially transmissible diseases. From May to August 2015, we identified adult and adolescent male chimpanzees displaying coughs and rhinorrhea and recorded 5-m proximity data on males (N = 40). Using the network k-test, we found significant relationships between male network connectivity and the distribution of cases within the network, supporting the importance of short-distance contacts for the spread of the respiratory outbreak. Additionally, chimpanzees central to the network were more likely to display clinical signs than those with fewer connections. Although our analyses were limited to male chimpanzees, these findings underscore the value of social connectivity data in predicting disease outcomes and elucidate a potential evolutionary cost of being social. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s10393-020-01507-7) contains supplementary material, which is available to authorized users. Springer US 2021-01-06 2020 /pmc/articles/PMC7786864/ /pubmed/33404931 http://dx.doi.org/10.1007/s10393-020-01507-7 Text en © EcoHealth Alliance 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Contribution Sandel, Aaron A. Rushmore, Julie Negrey, Jacob D. Mitani, John C. Lyons, Daniel M. Caillaud, Damien Social Network Predicts Exposure to Respiratory Infection in a Wild Chimpanzee Group |
title | Social Network Predicts Exposure to Respiratory Infection in a Wild Chimpanzee Group |
title_full | Social Network Predicts Exposure to Respiratory Infection in a Wild Chimpanzee Group |
title_fullStr | Social Network Predicts Exposure to Respiratory Infection in a Wild Chimpanzee Group |
title_full_unstemmed | Social Network Predicts Exposure to Respiratory Infection in a Wild Chimpanzee Group |
title_short | Social Network Predicts Exposure to Respiratory Infection in a Wild Chimpanzee Group |
title_sort | social network predicts exposure to respiratory infection in a wild chimpanzee group |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7786864/ https://www.ncbi.nlm.nih.gov/pubmed/33404931 http://dx.doi.org/10.1007/s10393-020-01507-7 |
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