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State-level tracking of COVID-19 in the United States
As of 1st June 2020, the US Centres for Disease Control and Prevention reported 104,232
confirmed or probable COVID-19-related deaths in the US. This was more than twice the …
confirmed or probable COVID-19-related deaths in the US. This was more than twice the …
Predictive performance of international COVID-19 mortality forecasting models
Forecasts and alternative scenarios of COVID-19 mortality have been critical inputs for
pandemic response efforts, and decision-makers need information about predictive …
pandemic response efforts, and decision-makers need information about predictive …
From predictions to prescriptions: A data-driven response to COVID-19
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained
healthcare providers make difficult decisions on patient triage, treatment and care …
healthcare providers make difficult decisions on patient triage, treatment and care …
A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave
Disease modelling has had considerable policy impact during the ongoing COVID-19
pandemic, and it is increasingly acknowledged that combining multiple models can improve …
pandemic, and it is increasingly acknowledged that combining multiple models can improve …
Forecasting COVID-19 cases based on a parameter-varying stochastic SIR model
We address the prediction of the number of new cases and deaths for the coronavirus
disease 2019 (COVID-19) over a future horizon from historical data (forecasting). We use a …
disease 2019 (COVID-19) over a future horizon from historical data (forecasting). We use a …
Where to locate COVID‐19 mass vaccination facilities?
The outbreak of COVID‐19 led to a record‐breaking race to develop a vaccine. However,
the limited vaccine capacity creates another massive challenge: how to distribute vaccines …
the limited vaccine capacity creates another massive challenge: how to distribute vaccines …
COVID-19: Data-driven optimal allocation of ventilator supply under uncertainty and risk
X Yin, İE Büyüktahtakın, BP Patel - European journal of operational …, 2023 - Elsevier
This study presents a new risk-averse multi-stage stochastic epidemics-ventilator-logistics
compartmental model to address the resource allocation challenges of mitigating COVID-19 …
compartmental model to address the resource allocation challenges of mitigating COVID-19 …
A machine learning-aided global diagnostic and comparative tool to assess effect of quarantine control in COVID-19 spread
We have developed a globally applicable diagnostic COVID-19 model by augmenting the
classical SIR epidemiological model with a neural network module. Our model does not rely …
classical SIR epidemiological model with a neural network module. Our model does not rely …
Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
NN Chung, LY Chew - Scientific reports, 2021 - nature.com
In this paper, we have implemented a large-scale agent-based model to study the outbreak
of coronavirus infectious diseases (COVID-19) in Singapore, taking into account complex …
of coronavirus infectious diseases (COVID-19) in Singapore, taking into account complex …
COVID‐19: A multiwave SIR‐based model for learning waves
One of the greatest challenges of the COVID‐19 pandemic has been the way evolving
regulation, information, and sentiment have driven waves of the disease. Traditional …
regulation, information, and sentiment have driven waves of the disease. Traditional …