Search Results for author: Igor M. Sokolov

Found 6 papers, 2 papers with code

Decoding the double trouble: A mathematical modelling of co-infection dynamics of SARS-CoV-2 and influenza-like illness

no code implementations11 Oct 2022 Suman Bhowmick, Igor M. Sokolov, Hartmut H. K. Lentz

Due to the clinical similarity of Covid-19 with other flulike syndromes, patients are assayed for other pathogens of influenza like illness.

Ticks on the run: A mathematical model of Crimean-Congo Haemorrhagic Fever (CCHF)-key factors for transmission

no code implementations27 Jan 2021 Suman Bhowmick, Khushal Khan Kasi, Jörn Gethmann, Susanne Fischer, Franz J. Conraths, Igor M. Sokolov, Hartmut H. K. Lentz

Tick to tick transmission through co-feeding and the CCHFV circulation through trasstadial and transovarial stages are important factors to sustain the disease cycle.

Biological Physics Populations and Evolution

Can a patchy model describe the potential spread of West Nile virus in Germany?

no code implementations27 Jan 2021 Suman Bhowmick, Jörn Gethmann, Igor M. Sokolov, Franz J. Conraths, Hartmut H. K. Lentz

In 2018, West Nile Virus (WNV) was detected for the first time in Germany.

Biological Physics Populations and Evolution

Large Deviation in Continuous Time Random Walks

no code implementations17 Dec 2020 Adrian Pacheco-Pozo, Igor M. Sokolov

We discuss large deviation properties of continuous-time random walks (CTRW) and present a general expression for the large deviation rate in CTRW in terms of the corresponding rates for the distributions of steps' lengths and waiting times.

Statistical Mechanics

Influencers identification in complex networks through reaction-diffusion dynamics

1 code implementation3 Mar 2018 Flavio Iannelli, Manuel Sebastian Mariani, Igor M. Sokolov

Here, we leverage the recently introduced random-walk effective distance -- a topological metric that estimates almost perfectly the arrival time of diffusive spreading processes on networks -- to introduce a new centrality metric which quantifies how close a node is to the other nodes.

Physics and Society Social and Information Networks

Effective Distances for Epidemics Spreading on Complex Networks

2 code implementations22 Aug 2016 Flavio Iannelli, Andreas Koher, Dirk Brockmann, Philipp Hoevel, Igor M. Sokolov

We show that the recently introduced logarithmic metrics used to predict disease arrival times on complex networks are approximations of more general network-based measures derived from random walks theory.

Physics and Society Populations and Evolution

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