What is it about?

The quality of data is the first! Covid-19 pandemic needs immediate data and timely information. It should be robust, realistic, and consistent. This article analyses and compares the quality of official datasets available for COVID-19, suggests a corrected dataset, and introduce a dashboard. If you are interested to know the quality of COVID-19 datasets, or you are looking for an accurate dataset for your research and a Dashboard for a quick insight about this pandemic, this is the right article for you. We should always remember Good data, Good life!

Featured Image

Why is it important?

The findings show noticeable and increasing measurement errors in the three official datasets as the pandemic outbreak expanded, and more countries contributed data for the official repositories, raising data comparability concerns and pointing to the need for better coordination and harmonized statistical methods.

Perspectives

We wanted to study the COVID-19 pandemic and its economic and financial effects. Before starting a statistical analysis and modeling, we had to know the amount of measurement error in our data. We wanted to avoid garbage in, garbage out. This article is the result of this stage of the research, and we hope it can help other researchers to use our COVID-19 combined dataset and dashboard with minimum systematic measurement errors.

Afshin Ashofteh
Universidade Nova de Lisboa

Read the Original

This page is a summary of: A study on the quality of novel coronavirus (COVID-19) official datasets, Statistical Journal of the IAOS, June 2020, IOS Press,
DOI: 10.3233/sji-200674.
You can read the full text:

Read

Resources

Contributors

The following have contributed to this page