Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios

H Zunker, R Schmieding, D Kerkmann, A Schengen… - medRxiv, 2024 - medrxiv.org
In the realm of infectious disease control, accurate modeling of the transmission dynamics is
pivotal. As human mobility and commuting patterns are key components of communicable …

Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios

H Zunker, R Schmieding, D Kerkmann… - PLOS Computational …, 2024 - journals.plos.org
In the realm of infectious disease control, accurate modeling of the transmission dynamics is
pivotal. As human mobility and commuting patterns are key components of communicable …

Enhancing global preparedness during an ongoing pandemic from partial and noisy data

PP Klamser, V d'Andrea, F Di Lauro, A Zachariae… - PNAS …, 2023 - academic.oup.com
As the coronavirus disease 2019 spread globally, emerging variants such as B. 1.1. 529
quickly became dominant worldwide. Sustained community transmission favors the …

A modified radiation model based on the characteristics of airline network under large-scale disruptions

R Wang, Z Zhang - Transportation, 2024 - Springer
The radiation model is widely used in traffic demand forecasting. However, when applying
the radiation model in the aviation field, it overestimates short-distance travel demand, does …

Optimal structures and collective dynamics of human flows in transportation networks.

S Bontorin - 2024 - iris.unitn.it
This thesis explores the dynamical and structural properties of human mobility within urban
environments through the lens of complex systems and network science. Beginning with an …

[PDF][PDF] SI Appendix Material and Methods and Supplementary Information “Enhancing global preparedness during an ongoing pandemic from partial and noisy data”

P Klamser, V d'Andrea, F Di Lauro, A Zachariae… - scienceopen.com
I Phylogenetic Reconstruction S2 I. 1 Genomic dataset compilation S2 I. 2 Phylogenetic
estimates of epidemiological parameters S2 I. 3 Estimates based on epidemic modeling S2 …