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Linking parasitism to network centrality and the impact of sampling bias in its interpretation


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Título : Linking parasitism to network centrality and the impact of sampling bias in its interpretation
Autor : Xu, Zhihong
MacIntosh, Andrew J. J.
Castellano Navarro, Alba
Macanás Martínez, Emilio
Suzumura, Takafumi
Duboscq, Julie
Materias: Macacos - Hábitos y conducta.Macaques - Behavior.Communicable diseases - Transmission.Redes sociales.Macacos - Enfermedades parasitarias.Macaques - Parasitic diseases.Social networks.Enfermedades - Transmisión.
Editorial : PeerJ
Citación : Xu, Z., MacIntosh, A. J. J., Castellano-Navarro, A., Macanás-Martínez, E., Suzumura, T. & Duboscq, J. (2022). Linking parasitism to network centrality and the impact of sampling bias in its interpretation. PeerJ, vol. 10, art. e14305 (18 nov.). DOI: https://doi.org/10.7717/peerj.14305
Resumen : Group living is beneficial for individuals, but also comes with costs. One such cost is the increased possibility of pathogen transmission because increased numbers or frequencies of social contacts are often associated with increased parasite abundance or diversity. The social structure of a group or population is paramount to patterns of infection and transmission. Yet, for various reasons, studies investigating the links between sociality and parasitism in animals, especially in primates, have only accounted for parts of the group (e.g., only adults), which is likely to impact the interpretation of results. Here, we investigated the relationship between social network centrality and an estimate of gastrointestinal helminth infection intensity in a whole group of Japanese macaques (Macaca fuscata). We then tested the impact of omitting parts of the group on this relationship. We aimed to test: (1) whether social network centrality in terms of the number of partners (degree), frequency of interactions (strength), and level of social integration (eigenvector) was linked to parasite infection intensity (estimated by eggs per gram of faeces, EPG); and, (2) to what extent excluding portions of individuals within the group might influence the observed relationship. We conducted social network analysis on data collected from one group of Japanese macaques over three months on Koshima Island, Japan. We then ran a series of knock-out simulations. General linear mixed models showed that, at the whole-group level, network centrality was positively associated with geohelminth infection intensity. However, in partial networks with only adult females, only juveniles, or random subsets of the group, the strength of this relationship - albeit still generally positive - lost statistical significance. Furthermore, knock-out simulations where individuals were removed but network metrics were retained from the original whole-group network showed that these changes are partly a power issue and partly an effect of sampling the incomplete network. Our study indicates that sampling bias can thus hamper our ability to detect real network effects involving social interaction and parasitism. In addition to supporting earlier results linking geohelminth infection to Japanese macaque social networks, this work introduces important methodological considerations for research into the dynamics of social transmission, with implications for infectious disease epidemiology, population management, and health interventions.
Descripción : Este artículo se encuentra disponible en la siguiente URL: https://peerj.com/articles/14305/#
URI : http://hdl.handle.net/10637/14436
Derechos: http://creativecommons.org/licenses/by/4.0/deed.es
ISSN : 2167-8359 (Electrónico)
Idioma: es
Fecha de publicación : 18-nov-2022
Centro : Universidad Cardenal Herrera-CEU
Aparece en las colecciones: Dpto. Producción y Sanidad Animal, Salud Pública Veterinaria y Ciencia y Tecnología de los Alimentos





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