Interacting Dynamics on Networks, Applications to Epidemiology (idonate)
Zusammenfassung der Projektergebnisse
The project “Interacting Dynamics on Networks, Applications to Epidemiology (idonate)” made a bridge between different disciplines such as physics, network science, epidemiology and ecology. Physics point of view in this project, we learned how coupling spreading dynamics may change the order of phase transitions, how bistability or multistability may emerge and how the underlined topology may play a role in them. Epidemiological point of view, we learned that outbreaks may happen unexpectedly while pathogens cooperate. Also surprisingly competition between pathogens might be a useful survival strategy. This project opens a road toward better understanding, predictions and controlling of epidemics and syndemics by modeling in an ecological framework. Finally it is worth mentioning that even though the focus of the project was on the epidemiological applications, the results can be applied on other economical and social contagious phenomena like marketing strategies. For instance, how competing brands can help each other survive in the market.
Projektbezogene Publikationen (Auswahl)
- "Risk of coinfection outbreaks in temporal networks: A case study of a hospital contact network." Frontiers in Physics5 (2017): 46
Rodríguez, Jorge P., Fakhteh Ghanbarnejad, and Víctor M. Eguíluz
(Siehe online unter https://dx.doi.org/10.3389/fphy.2017.00046) - "Exact solution of generalized cooperative susceptible-infected-removed (SIR) dynamics." Physical Review E 100.1 (2019): 012307
Zarei, Fatemeh, Saman Moghimi-Araghi, and Fakhteh Ghanbarnejad
(Siehe online unter https://doi.org/10.1103/physreve.100.012307) - "Markovian approach to tackle the interaction of simultaneous diseases." Physical Review E100.6 (2019): 062308
Soriano-Paños, David, et al.
(Siehe online unter https://doi.org/10.1103/physreve.100.062308) - "Modeling competitive marketing strategies in social networks." Physica A: Statistical Mechanics and its Applications 518 (2019): 50-70
Goel, Rahul, Anurag Singh, and Fakhteh Ghanbarnejad
(Siehe online unter https://doi.org/10.1016/j.physa.2018.11.035) - "Particle velocity controls phase transitions in contagion dynamics." Scientific reports 9.1 (2019): 1-9
Rodríguez, Jorge P., Fakhteh Ghanbarnejad, and Víctor M. Eguíluz
(Siehe online unter https://doi.org/10.1038/s41598-019-42871-x) - "Interplay between competitive and cooperative interactions in a three-player pathogen system." Royal Society open science 7.1 (2020): 190305
Pinotti, Francesco, et al.
(Siehe online unter https://doi.org/10.1098/rsos.190305) - "Social distancing in pedestrian dynamics and its effect on disease spreading." Physical Review E 104.1 (2021): 014313
Sajjadi, Sina, Alireza Hashemi, and Fakhteh Ghanbarnejad
(Siehe online unter https://doi.org/10.1103/physreve.104.014313) - "Effects of measures on phase transitions in two cooperative susceptible-infectious-recovered dynamics." Physical Review E 105.3 (2022): 034311
Khazaee, Adib, and Fakhteh Ghanbarnejad
(Siehe online unter https://doi.org/10.1103/PhysRevE.105.034311) - "Emergence of synergistic and competitive pathogens in a coevolutionary spreading model." Physical Review E 105.3 (2022): 034308
Ghanbarnejad, Fakhteh, et al.
(Siehe online unter https://doi.org/10.1103/physreve.105.034308)
