Network-based Methods for Simulation of Strategies to Reduce Epidemic Spreading

Student: Mukhamadiev Vladimir

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Mathematical Methods of Modelling and Computer Technologies (Master)

Final Grade: 9

Year of Graduation: 2021

In this paper, a study of the Hazelmere social network database was carried out. A time-varying network was built from the database. Various characteristics of this network were considered. A study was carried out of the dependence of the characteristics of the network vertices on their final impact on the level of infection. In the next step, the network was modified to change the update time. On the modified network, the spread of the epidemic was simulated according to the SEIRD model, taking into account various measures to combat epidemics in order to identify the level of effectiveness of a particular measure. All the code was written in the Wolfram Mathematica system. Simulation data and results have been uploaded to a repository on GitHub.

Full text (added May 23, 2021)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses