activity
20122022
most citedDisease spread through animal movements: a static and temporal network analysis of pig trade in Germany

143 citations · 194 across the 8 of their papers we have counts for

collaborators
Showing physics.soc-phShow all

5 papers · 1 filter

physics.soc-ph2021★ 10 cited

Modelling control strategies against Classical Swine Fever: influence of traders and markets using static and temporal networks in Ecuador

Alfredo Acosta, Nicolas Cespedes Cardenas, Cristian Imbacuan +6

Classical swine fever (CSF) in Ecuador is prevalent since 1940, pig farming represents an important economic and cultural sector. Recently, the National Veterinary Service (NVS) ha…

physics.soc-ph2018★ 35 cited

Contact-based model for epidemic spreading on temporal networks

Andreas Koher, Hartmut H. K. Lentz, James P. Gleeson +1

We present a contact-based model to study the spreading of epidemics by means of extending the dynamic message passing approach to temporal networks. The shift in perspective from…

physics.soc-ph2016★ 143 cited

Disease spread through animal movements: a static and temporal network analysis of pig trade in Germany

Hartmut H. K. Lentz, Andreas Koher, Philipp Hövel +4

Background: Animal trade plays an important role for the spread of infectious diseases in livestock populations. As a case study, we consider pig trade in Germany, where trade acto…

physics.soc-ph2015★ 4 cited

Controlling contagious processes on temporal networks via adaptive rewiring

Vitaly Belik, Alexander Fengler, Florian Fiebig +2

We consider recurrent contagious processes on a time-varying network. As a control procedure to mitigate the epidemic, we propose an adaptive rewiring mechanism for temporary isola…

physics.soc-ph2012

Unfolding accessibility provides a macroscopic approach to temporal networks

Hartmut H K Lentz, Thomas Selhorst, Igor M Sokolov

An accessibility graph of a network contains a link, wherever there is a path of arbitrary length between two nodes. We generalize the concept of accessibility to temporal networks…