@article{fdi:010093878, title = {{E}pidemiological consequences of individual centrality on wild chimpanzees}, author = {{P}ierron, {M}. and {S}ueur, {C}. and {S}himada, {M}. and {M}ac{I}ntosh, {A}.{J}.{J}. and {R}omano, {V}al{\'e}ria}, editor = {}, language = {{ENG}}, abstract = {{D}isease outbreaks are one of the key threats to great apes and other wildlife. {B}ecause the spread of some pathogens (e.g., respiratory viruses, sexually transmitted diseases, ectoparasites) are mediated by social interactions, there is a growing interest in understanding how social networks predict the chain of pathogen transmission. {I}n this study, we built a party network from wild chimpanzees ({P}an troglodytes), and used agent-based modeling to test: (i) whether individual attributes (sex, age) predict individual centrality (i.e., whether it is more or less socially connected); (ii) whether individual centrality affects an individual's role in the chain of pathogen transmission; and, (iii) whether the basic reproduction number ({R}0) and infectious period modulate the influence of centrality on pathogen transmission. {W}e show that sex and age predict individual centrality, with older males presenting many (degree centrality) and strong (strength centrality) relationships. {A}s expected, males are more central than females within their network, and their centrality determines their probability of getting infected during simulated outbreaks. {W}e then demonstrate that direct measures of social interaction (strength centrality), as well as eigenvector centrality, strongly predict disease dynamics in the chimpanzee community. {F}inally, we show that this predictive power depends on the pathogen's {R}0 and infectious period: individual centrality was most predictive in simulations with the most transmissible pathogens and long-lasting diseases. {T}hese findings highlight the importance of considering animal social networks when investigating disease outbreaks.}, keywords = {}, booktitle = {}, journal = {{A}merican {J}ournal of {P}rimatology}, volume = {86}, numero = {12}, pages = {e23682 [16 ]}, ISSN = {0275-2565}, year = {2024}, DOI = {10.1002/ajp.23682}, URL = {https://www.documentation.ird.fr/hor/fdi:010093878}, }