35 citations · 84 across the 8 of their papers we have counts for
8 papers
COVID-19 vaccination strategies on dynamic networks
Quoc Huy Nguyen, Jessica Liebig, Md Shahzamal +2
Coronavirus disease (COVID-19), which was caused by SARS-CoV-2, has become a global public health concern. A great proportion of the world needs to be vaccinated in order to stop t…
Should international borders re-open? The impact of travel restrictions on COVID-19 importation risk
Jessica Liebig, Kamran Najeebullah, Raja Jurdak +2
Novel coronavirus disease (COVID-19) has spread across the world at an unprecedented pace, reaching over 200 countries and territories in less than three months. In response, many…
Identifying highly influential travellers for spreading disease on a public transport system
Ahmad El Shoghri, Jessica Liebig, Raja Jurdak +2
The recent outbreak of a novel coronavirus and its rapid spread underlines the importance of understanding human mobility. Enclosed spaces, such as public transport vehicles (e.g.…
How mobility patterns drive disease spread: A case study using public transit passenger card travel data
Ahmad El Shoghri, Jessica Liebig, Lauren Gardner +2
Outbreaks of infectious diseases present a global threat to human health and are considered a major health-care challenge. One major driver for the rapid spatial spread of diseases…
A global model for predicting the arrival of imported dengue infections
Jessica Liebig, Cassie Jansen, Dean Paini +2
With approximately half of the world's population at risk of contracting dengue, this mosquito-borne disease is of global concern. International travellers significantly contribute…
Fast extraction of the backbone of projected bipartite networks to aid community detection
Jessica Liebig, Asha Rao
This paper introduces a computationally inexpensive method of extracting the backbone of one-mode networks projected from bipartite networks. We show that the edge weights in the o…
Predicting Item Popularity: Analysing Local Clustering Behaviour of Users
J. Liebig, A. Rao
Predicting the popularity of items in rating networks is an interesting but challenging problem. This is especially so when an item has first appeared and has received very few rat…
Identifying Influential Nodes in Bipartite Networks Using the Clustering Coefficient
J. Liebig, A. Rao
The identification of influential nodes in complex network can be very challenging. If the network has a community structure, centrality measures may fail to identify the complete…