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    Interplay between competitive and cooperative interactions in a three-player pathogen system

    , Article Royal Society Open Science ; Volume 7, Issue 1 , 2020 Pinotti, F ; Ghanbarnejad, F ; Hövel, P ; Poletto, C ; Sharif University of Technology
    Royal Society Publishing  2020
    Abstract
    In ecological systems, heterogeneous interactions between pathogens take place simultaneously. This occurs, for instance, when two pathogens cooperate, while at the same time, multiple strains of these pathogens co-circulate and compete. Notable examples include the cooperation of human immunodeficiency virus with antibiotic-resistant and susceptible strains of tuberculosis or some respiratory infections with Streptococcus pneumoniae strains. Models focusing on competition or cooperation separately fail to describe how these concurrent interactions shape the epidemiology of such diseases. We studied this problem considering two cooperating pathogens, where one pathogen is further structured... 

    Exact solution of generalized cooperative susceptible-infected-removed (SIR) dynamics

    , Article Physical Review E ; Volume 100, Issue 1 , 2019 ; 24700045 (ISSN) Zarei, F ; Moghimi Araghi, S ; Ghanbarnejad, F ; Sharif University of Technology
    American Physical Society  2019
    Abstract
    In this paper, we introduce a general framework for coinfection as cooperative susceptible-infected-removed (SIR) dynamics. We first solve the SIR model analytically for two symmetric cooperative contagions [L. Chen, Europhys. Lett. 104, 50001 (2013)10.1209/0295-5075/104/50001] and then generalize and solve the model exactly in the symmetric scenarios for three and more cooperative contagions. We calculate the transition points and order parameters, i.e., the total number of infected hosts. We show that the behavior of the system does not change qualitatively with the inclusion of more diseases. We also show analytically that there is a saddle-node-like bifurcation for two cooperative SIR... 

    Effects of Temporal Correlations on Co-infection

    , M.Sc. Thesis Sharif University of Technology Sajjadi, Ebrahim (Author) ; Ejtehadi, Mohammad Reza (Supervisor) ; Ghanbarnejad, Fakhteh (Co-Supervisor)
    Abstract
    SIS and SIR are common models for describing and predicting the epidemics of the contagious diseases. But these models fail to predict patterns of spreading dynamics in the case of co-infective diseases, i.e. getting infected by one disease, alters the chance of getting infected by the other one. Coinfection has been studied in the mean field approximation and on complex networks with different topologies. Another study shows temporal correlations of the underlying transmission network, play role on co-infection dynamics.In this research we investigate the effects of various temporal correlation on epidemic order parameters of independent infection and co-infection.For this purpose, we...