23 citations · 70 across the 9 of their papers we have counts for
10 papers
Towards inferring network properties from epidemic data
István Z. Kiss, Luc Berthouze, Wasiur R. KhudaBukhsh
Epidemic propagation on networks represents an important departure from traditional massaction models. However, the high-dimensionality of the exact models poses a challenge to bot…
Probabilistic predictions of SIS epidemics on networks based on population-level observations
Tanja Zerenner, Francesco Di Lauro, Masoumeh Dashti +2
We predict the future course of ongoing susceptible-infected-susceptible (SIS) epidemics on regular, Erdős-Rényi and Barabási-Albert networks. It is known that the contact network…
Beyond COVID-19: Network science and sustainable exit strategies
James Bell, Ginestra Bianconi, David Butler +11
On May and , a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc. The aim was to bring together leading scientists wi…
Network Inference from Population-Level Observation of Epidemics
F. Di Lauro, J. -C. Croix, M. Dashti +2
Using the continuous-time susceptible-infected-susceptible (SIS) model on networks, we investigate the problem of inferring the class of the underlying network when epidemic data i…
Bursting endemic bubbles in an adaptive network
N. Sherborne, K. B. Blyuss, I. Z. Kiss
The spread of an infectious disease is known to change people's behavior, which in turn affects the spread of disease. Adaptive network models that account for both epidemic and be…
Mean-field models for non-Markovian epidemics on networks: from edge-based compartmental to pairwise models
N. Sherborne, J. C. Miller, K. B. Blyuss +1
This paper presents a novel extension of the edge-based compartmental model for epidemics with arbitrary distributions of transmission and recovery times. Using the message passing…
Pairwise approximation for SIR type network epidemics with non-Markovian recovery
G. Röst, Z. Vizi, I. Z. Kiss
We present the generalised mean-field and pairwise models for non-Markovian epidemics on networks with arbitrary recovery time distributions. First we consider a hyperbolic system,…
Compact pairwise models for epidemics with multiple infectious stages on degree heterogeneous and clustered networks
N. Sherborne, K. B. Blyuss, I. Z. Kiss
This paper presents a compact pairwise model that describes the spread of multi-stage epidemics on networks. The multi-stage model corresponds to a gamma-distributed infectious per…
Dynamics of multi-stage infections on networks
N. Sherborne, K. B. Blyuss, I. Z. Kiss
This paper investigates the dynamics of infectious diseases with a non-exponentially distributed infectious period. This is achieved by considering a multi-stage infection model on…
The impact of constrained rewiring on network structure and node dynamics
P. Rattana, L. Berthouze, I. Z. Kiss
In this paper, we study an adaptive spatial network. We consider an SIS (susceptible-infectedsusceptible) epidemic on the network, with a link/contact rewiring process constrained…