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This work focuses on the so called 'first wave' of COVID-19 epidemic (21 February-10 April 2020) and aims at outlining a viable strategy to contain the COVID-19 spread and efficiently plan an exit from lockdown measures. It offers a model to estimate the total number of actual infected among the...
As the COVID-19 pandemic progressed in the USA, 'hotspots' shifted geographically over time to suburban and rural counties showing a high prevalence of the disease. We analyse population-adjusted confirmed case rates based on daily US county-level variations in COVID-19 confirmed case counts...
The stock fund diversification process is a tedious task due to the erratic nature of the stock market. On the other hand, work is more challenging due to high annual return expectations with low risk. This research work explores the potential of goal programming (GP) and K-means algorithm as an...
The concept of 'updating' parameter estimates and predictions as more data arrive is an important attraction for people adopting Bayesian methods, and essential in big data settings. Implementation via the hyperparameters of a joint prior distribution is challenging. This paper considers...
In the last decade, social networks have increasingly been used in social sciences to monitor consumer preferences and citizens' opinion formation, as they are able to produce a massive amount of data. In this paper, we aim to collect and analyse data from Twitter posts identifying emerging...
One of the difficulties faced by policymakers during the COVID-19 outbreak in Italy was the monitoring of the virus diffusion. Due to changes in the criteria and insufficient resources to test all suspected cases, the number of 'confirmed infected' rapidly proved to be unreliably reported by...
This study examines the relative technical efficiency (TE) of the fiscal stimulus packages introduced by the governments of 38 OECD countries in response to COVID-19 pandemic, using a two-stage data envelopment analysis (DEA) approach. The DEA results indicate that OECD countries are inefficient...
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