ArticleScientific reports2021
Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 45 citations in OpenAlex.
- Integrating mathematical modelling and artificial intelligence to combat emerging viral syndemics: A systematic review.New microbes and new infections · 2026Review
- Explaining complex dynamical systems using conditional SHAP analysis with application to multi-variant epidemic dynamics.Scientific reports · 2026Article
- A history-dependent approach for accurate initial condition estimation in epidemic models.PLoS computational biology · 2025Article
- Digitalization enhancement in the pharmaceutical supply network using a supply chain risk management approach.Scientific reports · 2023Article
- Article
- The Impact of COVID-19 on Chinese trade and production: An empirical analysis of processing trade with Japan and the US.Journal of Asian economics · 2023Article
- Article
- Personal protective equipment market coordination using subsidy.Sustainable cities and society · 2022Article
- Viable healthcare supply chain network design for a pandemic.Annals of operations research · 2022Article
- An optimal control policy in fighting COVID-19 and infectious diseases.Applied soft computing · 2022Article
- Article
- Distributionally robust optimization of a Canadian healthcare supply chain to enhance resilience during the COVID-19 pandemic.Computers & industrial engineering · 2022Article
- Can anticipatory supply chain decision making manage the pandemic's effect? A regime switching game.IFAC-PapersOnLine · 2022Article
- Modeling supply chain viability and adaptation against underload cascading failure during the COVID-19 pandemic.Nonlinear dynamics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pandemic of COVID-19 has become one of the greatest threats to human health, causing severe disruptions in the global supply chain, and compromising health care delivery worldwide. Although government authorities sought to contain the spread of SARS-CoV-2, by restricting travel and in-person activities, failure to deploy time-sensitive strategies in ramping-up of critical resource production exacerbated the outbreak. Here, we developed a mathematical model to analyze the effects of the interaction between supply chain disruption and infectious disease dynamics using coupled production and disease networks built on global data. Analysis of the supply chain model suggests that time-sensitive containment strategies could be created to balance objectives in pandemic control and economic losses, leading to a spatiotemporal separation of infection peaks that alleviates the societal impact of the disease. A lean resource allocation strategy can reduce the impact of supply chain shortages from 11.91 to 1.11% in North America. Our model highlights the importance of cross-sectoral coordination and region-wise collaboration to optimally contain a pandemic and provides a framework that could advance the containment and model-based decision making for future pandemics.
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