Data Visualization and Analyzation of COVID-19
Fahima Khanam, Itisha Nowrin, M. Rubaiyat Hossain Mondal
Journal of Scientific Research and Reports · pp. 42–52 · Published 20 Apr 2020
10.9734/jsrr/2020/v26i330234Abstract
Since December 2019 the world is experiencing a deadly disease caused by a novel coronavirus termed as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease associated with this virus is known as COVID-19. This paper focuses on COVID-19 based on freely available datasets including the ones in Kaggle repository. Data analytics is provided on a number of aspects of COVID-19 including the symptoms of this disease, the difference of COVID-19 with other diseases caused by severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and swine flu. The impact of temperature on the spread of COVID-19 is also discussed based on the datasets. Moreover, data visualization is provided on the comparison of infections in males/females which shows that males are more prone to this disease and the older people are more at risk. Based on the data, the pattern in the increase of confirmed cases is found to be an exponential curve in nature. Finally, the relative number of confirmed, recovered and death cases in different countries are shown with data visualization.
Cited by 14
Jyoti Kumari, Dipti P. Rana · Lecture Notes in Networks and Systems · 2023
Prajoy Podder, M. Rubaiyat Hossain Mondal · 2020 11th International Conference on Electrical and Computer Engineering (ICECE) · 2020
M. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder · BioMedInformatics · 2023
Oen G McKinley, Saugat Pandey, Alvitta Ottley · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · 2025
Shafaq Zahoor, Irfanud Din, Zaib Unnisa · BMC Medical Informatics and Decision Making · 2025
Amin Khodaei, Parvaneh Shams, Hadi Sharifi · Biomedical Signal Processing and Control · 2023
Maslina Zolkepli, Isa Ramlan · Journal of Advanced Research in Applied Sciences and Engineering Technology · 2023
S. Durai, M. Mohamed Iqbal, S Niresh Kumar · 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) · 2023
Aravind Menon, Dhanya Pramod · AIP Conference Proceedings · 2023
U. B. Mahadevaswamy · i-manager's Journal on Computer Science · 2021
Related research
- Covid-2019:“A Microbiological Monster” — shares topic coverage
- COVID 19 Disease Caused by Coronavirus 2 (SARS-CoV-2) (Severe Acute Respiratory Syndrome) — shares topic coverage
- Using Ultraviolet A to Check Inanimate Objects for Thorough Cleanliness during COVID-19 Pandemic — shares topic coverage
- The Evaluation of Biochemical Parameters in Positive COVID-19 RealTime PCR Patients: A Retrospective Study — shares topic coverage
- Characteristics of the New Coronavirus Named SARS-CoV-2 Responsible for an Infection Called Coronavirus Disease 2019 (COVID-19) — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
14
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.