Disease Spreading on Ecological Multiplex Networks

Details

Serval ID
serval:BIB_4BA5231F023E
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Disease Spreading on Ecological Multiplex Networks
Title of the conference
Santa Fe Institute Complex Systems Summer School 2014
Author(s)
C. Andreazzi , A. Antonioni , A. Goudarzi , S. Selakovic , M. Stella 
Publication state
Published
Issued date
09/2014
Peer-reviewed
Oui
Language
english
Abstract
Processes in which diseases spread and sustain inside of different types of populations were always interesting subjects for epidemiologists. In recent years, ecologists draw the attention to the fact that not only hosts but also the other species in the community can affect the process of disease spread and in that way influence the result of the infection. In nature, we find many parasites and infectious agents with complex life cycles and which can be transmitted in the ecological communities through contact interaction or through feeding interaction. Multiplex networks are layered networks that can represent different types of interactions between agents. In this networks the agents are part of all the layers, but the structure of their interaction is distinct in each layer. We recognise multiplex networks approach as a way in which we can question the importance of the different forms of transmission for the disease spread in the ecosystems. Our results show that for \textit{Trypanosoma cruzi}, a parasite that can be transmitted through arthropod vectors or through feeding on infected prey, the infection is more widespread when considering both layers in the process. When considering the multiplex structure, species that are not connected through the food web can be affected because of the inclusion of the vectorial layer. The frequency of vectors in the community also influenced the infection spread, increasing the speed of infection in the hosts. We conclude that the multiplex approach is extremely powerful when dealing with different types of interactions and that non-trivial results can be found when the multilayered structure of the process is considered.
Create date
18/09/2014 11:44
Last modification date
21/08/2019 6:15
Usage data