2017/06/16 by Massimo Stella, Sanja Selakovic, Stella, Massimo +6
Biochemistry, Genetics and Molecular Biology · Medicine · Physics and Astronomy · Social Sciences · #Biological Physics (physics.bio-ph) #Data Analysis #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #FOS: Biological sciences #FOS: Physical sciences #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM) #Statistics and Probability (physics.data-an) #Zoonotic diseases and public health #physics.bio-ph #physics.data-an #q-bio.PE #q-bio.QM
paper · pdf · doi:10.48550/arxiv.1706.05121
11 pages, 5 figures
arxiv created 2017/06/16 · openalex publication_date 2017/06/16 · arxiv updated 2017/06/19 · openalex created_date 2017/06/23 · openalex updated_date 2026/07/28
Most of zoonoses are multi-host parasites with multiple transmission routes that are usually investigated separately despite their potential interplay. As a unifying framework for modelling parasite spread through different paths of infection, we suggest "ecomultiplex" networks, i.e. multiplex networks representing interacting animal communities with (i) spatial structure and (ii) metabolic scaling. We exploit this ecological framework for testing potential control strategies for T. cruzii spread in two real-world ecosystems. Our investigation highlights two interesting results. Firstly, the ecomultiplex topology can be as efficient as more data-demanding epidemiological measures in identifying which species facilitate parasite spread. Secondly, the interplay between predator-prey and host-parasite interactions leads to a phenomenon of parasite amplification in which top predators facilitate T. cruzii spread, offering theoretical interpretation of previous empirical findings. Our approach is broadly applicable and could provide novel insights in designing immunisation strategies for pathogens with multiple transmission routes in real-world ecosystems.