COVID-19 #CoronaVirus Infographic Datapack

Loading
Loading
Loading
Coronavirus-COVID19-Riskiest-Activities

COVID-19 #Coronavirus latest data visualized. Updated 2nd July 2020.

You are welcome to use these graphic in any way you please.

Created by David McCandless, Omid Kashan, Fabio Bergamaschi, Dr Stephanie Starling, Univers Labs, Tom Evans

Follow us on Facebook | Instagram | Twitter


Important / Interesting Reads

» How long will a vaccine really take? (New York Times)
» Why are Germany’s deaths so low? (NY Times)
» World Health Organisation dashboard
» All the data in detail (Our World in Data)
» Why do viruses often come from bats? A discussion with your friendly neighborhood virologist (Reddit)

More

» See our beautiful infographic books
» Learn how to create impactful infographics & visualisations: online seminars
» All our graphics

Follow us on Facebook | Instagram | Twitter


CHANGE LOG
UPDATE 22nd Jul
: Average Disease Deaths per Day updated.
UPDATE 15th Jul
Added risk chart for Black, Asian & Minority Ethnic (BAME) people who are more at risk of deaths from Coronavirus according to a study of 33,000+ deaths in the UK. (Data)

In the US, black and Latino people are 3x more likely to be *infected* by Coronavirus (according to a new analysis of 640,000 infections by the NYTimes – who sued the CDC to get the data). Multiple factors are at play. BAME populations may:
: have front-line jobs that keep them working from home, increasing exposure
: rely on public transportation
: live in cramped apartments or multigenerational homes
: have cultural and language barriers in accessing information & services
: experience pressure to keep working or quickly return to work, even in risky settings.
Higher exposure leads to higher infection rates which, in turn, can lead to a higher death rates.
This combined with a greater prevalence of underlying health problems among BAME populations (diabetes, obesity etc) goes some way to explain some of these race & ethnicity disparities.
But, even when these are filtered out, there’s still a pronounced imbalance. We don’t fully know why yet.
UPDATE 2nd Jul
: NEW Corona’s Riskiest Activities graphic. We collated & visualised the advice & professional opinions from over 500 epidemiologists & health experts as quoted in various media articles. (see the data). Primary source: NY Times: When 511 Epidemiologists Expect to Fly, Hug and Do 18 Other Everyday Activities Again plus additional epidemiological opinions from articles by Reuters, NPR and SF Gate.
METHODOLOGY: We extrapolated and graded the NY Times data into a 10 point scale. Then weighted and adjusted it according to any risk variance seen in the other articles. Where there was disagreement over a particular activity, we deferred to the NYT Times data or left the activity as ‘UNCLEAR’ in our datasheet. Disagreements & variance between ratings left some blurriness around the risk levels we’ve apportioned. i.e. it’s not a hard scale but a general one. We’ve added text captions to qualify this where possible. See the data for more.
UPDATE 22nd Jun
: Updated Average Disease Deaths Per Day
UPDATE 22nd May
: Added Possible Symptoms of COVID-19 clarifier graphic
: Updated Average Diseases Deaths Per Day – Coronavirus now eclipsing Pneumonia for worldwide fatalities :((
UPDATE 11th May : Added new Corona Rising & Falling interactive graphic.
: Updated data
UPDATE 21st Apr : Reinstated our NEW trajectories chart. Now tracks average daily deaths, active cases as well as total cases and total deaths. Great work by Omid Kashan. Inspired the excellent Financial Times team.
: updated ‘Those aged 60+’ graphic with new UK data
: added new risk data by biological sex (men more likely to die) (data)
: added new dataviz on DIY mask materials (data)
: various misc tweaks to wording & descriptions
: we continue to update our data sheet
UPDATE 14th Apr : Pulled trajectories chart while we work on a new version.
UPDATE 1st Apr
: Added interactive, generative Fatality Rates by Country (updates twice a day). Thanks to Univers Labs for great work.
UPDATE 30th Mar
: Added interactive, generative Infection Trajectories (updates twice a day). Thx to Omid Kashan for great work.
: updated data
UPDATE 26th Mar
: Changed Norovirus R0 from 7 (upper maximum) to 4.3 (median)
: Fixed typo on Italy data
: Updated infection trajectories
: Re-added rates per country
: Removed Average Deaths Per Day (the chart was meant as a daily tracker, but was being used to downplay the seriousness of the pandemic. We’re still updating a data version)
: Added Cases & deaths per million
: Updated all datasheets
UPDATE 19th Mar
: Added analysis of 355 deaths in Italy (link PDF)
: Added Multiple Conditions graphic
: Added Incubation Periods comparison visualisation (based on this great study)
: Added Infection Trajectories
: Updated Average Disease Deaths per Day
: Updated datasheet
UPDATE 16th Mar
: Updated: Recovery rates, Fatality Rate by Country, Media Mentions
: Added: Average Disease Deaths per day explanation of our maths, plus Swine Flu : estimates (753 death per day), highlighted pandemic vs endemic diseases.
New Chart: Infection Trajectories
Corrected: Spanish Flu fatality rate 2.5% (was 10%)
UPDATE 13th Mar
: Fatality Rates by Country. Italy up to 6.7%.
: Total Media Mentions. Coronavirus now 2.1bn, up from 1.1bn.
: Average deaths per day: 72, up from 62.
: Corrected Spanish Flu Fatality Rate to 2.5%
: Recovery Rates
UPDATE 12th Mar – added Flattening the Curve
UPDATE 11th Mar – revised Case Fatality Rates by Country. Italy up to 6.2%. Updated Recovery rates: 56.6% recovered drops to 55%. Updated Deaths Per Day: Coronavirus up 62 per day, from 56. Fixed a few typos.
UPDATE 9th MarUploaded version 1