Manuscript Topics

It is now a year and a half that the Covid-19 cyclone has hit people's lives and the economies of all the countries of the world and, now that the first signs of emerging from the darkness of the pandemic are beginning to be seen, it really seems the case of retracing the problems that accompanied its evolution over time and reflecting on the value and use of the statistical data that formed the basis for the models and analyses of the health and economic effects that characterized it, as well as on the forecasts on their duration.

Indeed, the data editing, i.e., the process involving the review and adjustment of collected survey data to control their quality –that’s , accuracy, relevance, coherence and interpretability - has represented and still represents one of the crucial points that affected and still crucially conditions the decisions taken by governments to combat the effects of the virus on the health of populations and on economic life.

The collection of statistical information for the elaboration of models on the basis of which to take decisions lends itself to a whole series of problems, due to the peculiar characteristics and novelty of the pandemic, which raise countless doubts and objections about their quality, and even before that, on the opportunity to use the data coming from a source, rather than that coming from another, as well as on their overall consistency.

Consequently, the models themselves are heavily affected by the reliability of the data on which they are based, which in turn determines the degree of credibility and therefore the usefulness of the results.

This special issue aims at opening a Forum on these issues and welcomes all scholars who intend to present their papers on statistical database and models for Covid-19 analysis and prediction, and give life and participate in the related discussion. It will place specific emphasis on, but not limit to, the following topics:

• Data collection, critical analysis, revision and editing on swabs carried out and those infected with Covid-19;
• Data collection, critical analysis, revision and editing on hospitalized patients infected with Covid-19, and their reliability, regarding those undergoing intensive care and of people who are healthy carriers of the virus;
• Data collection, critical analysis, revision and editing of the dead from Covid-19 and of the survivors;
• Models for the analysis and prediction of dead from Covid-19;
• Models for the analysis and prediction of economic impact of Covid-19;
• Models for the analysis of the vaccination campaign and the prediction of its effects on health and economy;
• Effects of stringency measures on pandemic evolution;
• Effects of stringency measures on the economy.

The contributions of scholars from different countries may provide valuable comparisons across different situations and contexts in the collection and analysis of data on Covid-19 pandemic. 

Early submissions are welcomed. The paper will be reviewed and, if accepted, it will be timely published with the DOI number

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