A5015969599- COVID-19 epidemiological studies
- COVID-19 Pandemic Impacts
- Opportunistic and Delay-Tolerant Networks
- Human Mobility and Location-Based Analysis
- Complex Network Analysis Techniques
- COVID-19 impact on air quality
- Data-Driven Disease Surveillance
- Opinion Dynamics and Social Influence
- Global Political and Economic Relations
- EU Law and Policy Analysis
- Mathematical and Theoretical Epidemiology and Ecology Models
- Global trade and economics
- Visual Attention and Saliency Detection
- Distributed systems and fault tolerance
- Regional Socio-Economic Development Trends
- Cross-Border Cooperation and Integration
- COVID-19 Clinical Research Studies
- Migration and Labor Dynamics
- Caching and Content Delivery
- SARS-CoV-2 and COVID-19 Research
- Mobile Ad Hoc Networks
- Advanced Computing and Algorithms
- Infection Control and Ventilation
- Mobile Agent-Based Network Management
- Age of Information Optimization
CSIRO Health and Biosecurity
2022
UNSW Sydney
2018-2021
Data61
2018-2021
Commonwealth Scientific and Industrial Research Organisation
2015-2021
Queensland University of Technology
2021
Health Sciences and Nutrition
2015-2020
Australian Government
2020
Johns Hopkins University
2019
Abstract Background 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 governments denied entry to travellers arriving from various affected by virus. While several industries continue experience economic losses due imposed interventions, it is unclear whether different travel restrictions were successful reducing COVID-19 importations. Methods Here we develop a...
COVID-19 has had a substantial impact globally. It spreads readily, particularly in enclosed and crowded spaces, such as public transport carriages, yet there are limited studies on how this risk can be reduced. We developed tool for exploring the potential impacts of mitigation strategies networks, called Systems Analytics Epidemiology Transport (SAfE Transport). SAfE combines an agent-based transit assignment model, community-wide transmission disease spread model to support strategic...
Outbreaks of infectious diseases present a global threat to human health and are considered major healthcare challenge. One driver for the rapid spatial spread is mobility. In particular, travel patterns individuals determine their spreading potential great extent. These behaviors can be captured modelled using novel location-based data sources, e.g., smart cards, social media, etc. Previous studies have shown that who cannot characterized by most frequently visited locations farther faster;...
The recent outbreak of a novel coronavirus and its rapid spread underlines the importance understanding human mobility. Enclosed spaces, such as public transport vehicles (e.g. buses trains), offer suitable environment for infections to widely quickly. Investigating movement patterns physical encounters individuals on transit systems is thus critical understand drivers infectious disease outbreaks. For instance, previous work has explored impact recurring inherent in mobility spread, but not...
ABSTRACT 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 governments denied entry to travellers arriving from various affected by virus. While several industries continue experience economic losses due imposed interventions, it is unclear whether different travel restrictions were successful reducing COVID-19 importations. Here we develop a comprehensive...
Background: The rapid global spread of coronavirus disease (COVID-19) is unprecedented. outbreak has quickly to more than 100 countries reporting over 100,000 confirmed cases. Australia reported its first case COVID-19 on 25th January 2020 and since implemented travel restrictions stop further introduction the virus. Methods: We analysed daily data published by World Health Organisation investigate virus thus far. To assess current risk importation local in we predict international passenger...
Delay Tolerant Networks (DTN) are characterized by the absence of continuous connectivity resulting in high delivery delays that may exceed acceptable limit for practical applications. In this paper, we address issue introducing Augur. Augur is a new routing protocol DTNs targeted to minimize message delivery. The scheme benefits from spatiotemporal history data nodes route s only through gateways having less expected delay deliver its destination. We demonstrate comparative evaluation...
Abstract Background The rapid global spread of coronavirus disease (COVID-19) is unprecedented. outbreak has quickly to more than 100 countries reporting over 100,000 confirmed cases. Australia reported its first case COVID-19 on 25 th January 2020 and since implemented travel restrictions stop further introduction the virus. Methods We analysed daily data published by World Health Organisation investigate virus thus far. To assess current risk importation local in we predict international...
Background: 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 governments denied entry to travellers arriving from various affected by virus. While several industries continue experience economic losses due imposed interventions, it is unclear whether different travel restrictions were successful reducing COVID-19 importations. Methods: Here we develop a...
Interaction patterns among individuals play vital roles in spreading infectious diseases. Understanding these and integrating their impact modeling diffusion dynamics of diseases are important for epidemiological studies. Current network-based models assume that transmit through interactions where both infected susceptible co-located at the same time. However, there several can when a individual visits location after an has left. Recently, we introduced model called place different time...
The recent outbreak of a novel coronavirus and its rapid spread underlines the importance understanding human mobility. Enclosed spaces, such as public transport vehicles (e.g. buses trains), offer suitable environment for infections to widely quickly. Investigating movement patterns physical encounters individuals on transit systems is thus critical understand drivers infectious disease outbreaks. For instance previous work has explored impact recurring inherent in mobility spread, but not...
Abstract COVID-19 has had a substantial impact globally. It spreads readily, particularly in enclosed and crowded spaces, such as public transport carriages, yet there are limited studies on how this risk can be reduced. We developed tool for exploring the potential impacts of mitigation strategies networks, called Systems Analytics Epidemiology Transport (SAFE Transport). SAFE combines an agent-based transit assignment model, community-wide transmission disease spread model to support...
The recent outbreak of coronavirus disease has demonstrated that physical human interactions and modern movement paradigms are the principle drivers for rapid spatial spread infectious diseases. Modelling impact mobility is crucial to understand underlying dynamics consequently develop effective containment control strategies. While previous studies have investigated specific profiles on spreading diseases, they used either highly aggregated spatio-temporal data or portions datasets span a...
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 governments denied entry to travellers arriving from various affected by virus. While several industries continue experience economic losses due imposed interventions, it is unclear whether different travel restrictions were successful reducing COVID-19 importations. Here we develop a comprehensive framework model...