As COVID-19 knowledge units transform extra available, novel coronavirus …


Data about the COVID-19 pandemic is being aggregated and prepped in a rapid clip as tech vendors are creating a stack of analysis tools for amateur epidemiologists as well as data science wonks.

Here’s the upshot: This novel coronavirus outbreak may be the most visualized ever.

About COVID-19
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was first identified in 2019 in Wuhan, the capital of Hubei, China, and has since spread globally, resulting in the 2019–20 coronavirus pandemic. Common symptoms include fever, cough, and shortness of breath. Muscle pain, sputum production, diarrohea, sore throat are less common. Complete or partial loss of smell and loss of taste are particularly common symptoms of cases with no other symptoms. While the majority of cases result in mild symptoms, some progress to pneumonia and multi-organ failure. As of 25 March 2020, the rate of deaths per number of diagnosed cases is 4.5 percent; however, it ranges from 0.2 percent to 15 percent, according to age group and other health problems.The virus is typically spread during close contact and via respiratory droplets produced when people cough or sneeze. Respiratory droplets may be produced during breathing but it is not considered airborne. It may also spread when one touches a contaminated surface and then their face. It is most contagious when people are symptomatic, although spread may be possible before symptoms appear. The virus can live on surfaces up to 72 hours. Time from exposure to onset of symptoms is generally between two and fourteen days, with an average of five days. The standard method of diagnosis is by reverse transcription polymerase chain reaction (rRT-PCR) from a nasopharyngeal swab. The infection can also be diagnosed from a combination of symptoms, risk factors and a chest CT scan showing features of pneumonia.Recommended measures to prevent infection include frequent hand washing, social distancing (maintaining physical distance from others, especially from those with symptoms), covering coughs and sneezes with a tissue or inner elbow, and keeping unwashed hands away from the face. The use of masks is recommended by some national health authorities for those who suspect they have the virus and their caregivers, but not for the general public, although simple cloth masks may be used by those who desire them. There is no vaccine or specific antiviral treatment for COVID-19. Management involves treatment of symptoms, supportive care, isolation, and experimental measures.The World Health Organization (WHO) declared the 2019–20 coronavirus outbreak a Public Health Emergency of International Concern (PHEIC) on 30 January 2020 and a pandemic on 11 March 2020. Local transmission of the disease has been recorded in many countries across all six WHO regions.

As COVID-19 data sets become more accessible, novel coronavirus …

About become
Become is the first studio album by Swedish progressive metal band Seventh Wonder. It consists of nine tracks; however, the ninth track is a hidden track.

The first data analysis dashboard and aggregation tool appeared shortly after the COVID-19 outbreak in China. The dashboard, courtesy of Johns Hopkins University, has become a go-to data source since it visualizes and aggregates data from WHO, CDC, ECDC, NHC, DXY, 1point3acres,, BNO, state and national government health departments, and local media reports. 

Johns Hopkins also put the data on GitHub for use. Since the launch of that dashboard January 23, COVID-19 has become arguably the most visualized pandemic data set. While the sets were available from a variety of sources, the latest efforts revolve around providing clean data for analysis.

As COVID-19 data sets become more accessible, novel coronavirus …

A tour of various efforts.

  • Tableau is taking the Johns Hopkins data and publishing a starter dashboard. Tableau’s contribution to the effort revolves around preparing the data and making it available in various formats and a visualization template.
  • Open source data sets have also been helpful. Researchers and Atlantic writers are pulling together data from numerous sources using open-source software.
  • GitHub has a series of data sets on novel coronavirus as does and Kaggle, which has competitions, forecasts and visualizations.
  • Reddit’s Data is Beautiful is a place to highlight a bevy of visualizations from hobbyists and data scientists. Our World in Data also has a strong overview of COVID-19 research and data. 
  • Esri is applying its mapping and geolocation expertise to COVID-19 tracking. 
  • Snowflake, a cloud data platform announced data services firm Starschema has listed a free data set that aims to be a single-source of truth for incidence and mortality in COVID-19 cases. The data can be augmented with population density and geolocations.
  • IBM has aggregated COVID-19 data and integrated it with The Weather Channel app, which will meld weather data and local novel coronavirus incidents. Via its The Weather Channel App, IBM’s subsidiary can get relevant COVID-19 data to its 300 million active monthly users. The IBM visualizations rhymes with efforts from Google and Microsoft Bing, which aim to bring COVID-19 data to the masses.