ArticleScientific reports2019
A decision-support framework to optimize border control for global outbreak mitigation.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Big data for neuroscience in the context of predictive, preventive, and personalized medicine.The EPMA journal · 2025Review
- Artificial Intelligence for Neurosurgery : Current State and Future Directions.Journal of Korean Neurosurgical Society · 2023Article
- United by Contagion: How Can China Improve Its Capabilities of Port Infectious Disease Prevention and Control?Healthcare (Basel, Switzerland) · 2022Article
- A symbiosis between cellular automata and dynamic weighted multigraph with application on virus spread modeling.Chaos, solitons, and fractals · 2022Article
- TLQP: Early-stage transportation lock-down and quarantine problem.Transportation research. Part C, Emerging technologies · 2021Article
- Managing borders during public health emergencies of international concern: a proposed typology of cross-border health measures.Globalization and health · 2021Article
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- Simplified model on the timing of easing the lockdown.Chinese journal of physics · 2021Article
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- Outbreak dynamics of COVID-19 in China and the United States.Biomechanics and modeling in mechanobiology · 2020Article
- Data-driven modeling of COVID-19-Lessons learned.Extreme Mechanics Letters · 2020Review
- Is it safe to lift COVID-19 travel bans? The Newfoundland story.medRxiv : the preprint server for health sciences · 2020Article
- Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions.Computer methods in biomechanics and biomedical engineering · 2020Article
- Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review.Journal of medical systems · 2020Review
- Multiple Epidemic Wave Model of the COVID-19 Pandemic: Modeling Study.Journal of medical Internet research · 2020Article
- Is it safe to lift COVID-19 travel bans? The Newfoundland story.Computational mechanics · 2020Article
- Information technology in emergency management of COVID-19 outbreak.Informatics in medicine unlocked · 2020Review
- Article
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3 authors.
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Abstract
The introduction and spread of emerging infectious diseases is increasing in both prevalence and scale. Whether naturally, accidentally or maliciously introduced, the substantial uncertainty surrounding the emergence of novel viruses, specifically where they may come from and how they will spread, demands robust and quantifiably validated outbreak control policies that can be implemented in real time. This work presents a novel mathematical modeling framework that integrates both outbreak dynamics and outbreak control into a decision support tool for mitigating infectious disease pandemics that spread through passenger air travel. An ensemble of border control strategies that exploit properties of the air traffic network structure and expected outbreak behavior are proposed. A stochastic metapopulation epidemic model is developed to evaluate and rank the control strategies based on their effectiveness in reducing the spread of outbreaks. Sensitivity analyses are conducted to illustrate the robustness of the proposed control strategies across a range of outbreak scenarios, and a case study is presented for the 2009 H1N1 influenza pandemic. This study highlights the importance of strategically allocating outbreak control resources, and the results can be used to identify the most robust border control policy that can be implemented in the early stages of an outbreak.
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