Introduction

In December 2019, an acute respiratory disease that causes severe symptoms such as fever, pneumonia and cough has emerged in Wuhan, Mainland China. Caused by SARS-CoV-2 virus, this contagious disease (so-called COVID-19) has spread all over the world causing a pandemic with thousands of morbidities and mortalities. In early March 2020, the pandemic reached Tunisia. Due to the harmful characteristics of the disease, the Tunisian government has decided several measures to control the transmission and the status of the infection in the country including mobility restrictions and restructuration of health systems.

SPEED is created as a system for the epidemiological surveillance of COVID-19 pandemic in Tunisia. This project integrates various types of data related to 2020 coronavirus epidemic in Tunisia in Wikidata, a free knowledge base in RDF format available online at https://www.wikidata.org/, and utilize them later to generate valuable statistical knowledge about the situation of COVID-19 pandemic in Tunisia and worldwide that can be useful for health specialists, research scientists and leaders to support their decisions. The development of these clinical, scholarly, epidemiological and environmental information related to the contagious disease is based on the ontological reasoning of Wikidata using SPARQL, a query language for linked data.

Acknowledgement

We thank Wikimedia community and IEEE Tunisia for their support to the work and Fariz Darari from Faculty of Computer Science, Universitas Indonesia for creating a few SPARQL queries that were used in this project.

Correlations – Worldwide

  1. COVID-19 Global Cases vs. Tests
  2. COVID-19 Global Deaths vs. Cases
  3. COVID-19 Global Mortality Rate vs. Cases
  4. COVID-19 Cases vs. Country Population
  5. COVID-19 Cases vs. Country Area
  6. COVID-19 Cases vs. Country Population Density Rate
  7. COVID-19 Deaths vs. Country Population
  8. COVID-19 Deaths vs. Country Area
  9. COVID-19 Deaths vs. Country Density Rate
  10. COVID-19 Mortality Rates vs. Country Population
  11. COVID-19 Mortality Rates vs. Country Area
  12. COVID-19 Mortality Rates vs. Country Population Density Rate

Correlations – Tunisia

  1. COVID-19 Cases vs. Tests in Tunisia
  2. COVID-19 Deaths vs. Cases in Tunisia
  3. COVID-19 Mortality Rate vs. Cases in Tunisia
  4. COVID-19 Cases vs. Governorate Population
  5. COVID-19 Cases vs. Governorate Area
  6. COVID-19 Cases vs. Governorate Population Density Rate
  7. COVID-19 Deaths vs. Governorate Population
  8. COVID-19 Deaths vs. Governorate Area
  9. COVID-19 Deaths vs. Governorate Density Rate
  10. COVID-19 Mortality Rates vs. Governorate Population
  11. COVID-19 Mortality Rates vs. Governorate Area
  12. COVID-19 Mortality Rates vs. Governorate Population Density Rate
  13. COVID-19 New Cases vs. Old Cases in Tunisia
  14. COVID-19 Active Cases

International Situation

  1. Affected Countries
  2. COVID-19 Cases by Country
  3. COVID-19 Cases per 100000 inhabitants by Country
  4. COVID-19 Deaths by Country
  5. COVID-19 Deaths per 100000 inhabitants by Country
  6. COVID-19 Mortality rates by Country
  7. COVID-19 Clinical Tests by Country
  8. COVID-19 Clinical Tests per 100000 inhabitants by Country
  9. COVID-19 Recoveries by Country
  10. COVID-19 Recoveries per 100000 inhabitants by Country
  11. Recent Famous COVID-19 Victims
  12. COVID-19 Cases per area by Country
  13. COVID-19 Deaths per area by Country
  14. COVID-19 Clinical Tests per area by Country
  15. COVID-19 Recoveries per area by Country

Who are we?

Not only Numbers, it is Knowledge

Research Team on Data Engineering and Semantics

Data Engineering and Semantics Research Team is a group of scientists located in Faculty of Sciences, University of Sfax and specialized in Computer Science enhanced by Statistics and Library and Information Science. In the context of COVID-19, the group decided to contribute to the scholarly efforts of providing support to the fight of the state against the pandemic by creating tools that can be used to track and study the epidemiological and infodemiological situation of the disease in the country including SPEED.

Houcemeddine TURKI: Member of Wikimedia and Libraries User Group Steering Committee
Email: turkiabdelwaheb[at]hotmail[dot]fr

Mohamed Ali HADJ TAIEB: Assistant professor at the Faculty of Sciences, University of Sfax, Tunisia
Email: mohamedali.hadjtaieb[at]gmail[dot]com

Mohamed BEN AOUICHA: Associate professor at the Faculty of Sciences, University of Sfax, Tunisia
Email: mohamed.benaouicha[at]fss[dot]usf[dot]tn

Overview

  1. Symptoms
  2. Related Treatments
  3. Images about COVID-19 and SARS-CoV-2
  4. Linnaean Taxonomy of SARS-CoV-2
  5. COVID-19 Factbook
  6. Forthcoming scholarly publications related to COVID-19
  7. Tools and Resources about COVID-19 pandemic by type
  8. Tools and Resources about COVID-19 pandemic
  9. Tools and Resources about COVID-19 pandemic by publisher
  10. Tools and Resources about COVID-19 pandemic by license
  11. Tools and Resources about COVID-19 pandemic by field of work
  12. Current Status in Tunisia
  13. COVID-19 Clinical Tests by Laboratory in Tunisia