COVID-19 #CoronaVirus Infographic Datapack

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» Nach Aktivitäten auf Deutsch (von Hannah Bohle)
» Agora disponível em português (graças a Denise Pilar)
» Ahora disponible en Español (gracias a Alicia Ortega)

COVID-19 #Coronavirus latest data visualized.

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, Nueker, Tom Evans

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Important / Interesting Reads

UPDATED 19th Jan 2021
We’ve been trying to keep up with the firehose of COVID research in order to visualise more infographics. But we can’t manage it. So here’s everything we’re reading. We hope to crystallise it all in visual form soon! (Sorry lots of New York Times – such great work)

» An analysis of 3 covid outbreaks and how they happened (El Pais)
» Global COVID death rates are dropping – as long as hospitals aren’t overwhelmed (New York Times)
» Excellent Coronavirus/COVID FAQ (BBC News)
» Best Trackers & graphics: Johns Hopkins, Our World in Data, Financial Times, New York Times
» Great Vaccine FAQs from New York Times & Washington Post
» COVID vs Flu vs Cold (The Guardian)
» 3 essential articles on air travel & COVID 1 2 3 (New York Times)
» Mask wearing: What the data says (Nature Journal)
» 15-30% of cases are asymptomatic (Nature Journal + study)
» Lest We Forget: Moving obituaries of people who have died of Coronavirus (New York Times)
» Can you catch COVID outdoors? Answer: not really (BBC)
» How to minimize COVID transmission in cars (New York Times)
» An Appreciation for Vaccines, and How Far They Have Come (New York Times)
» Coronavirus’s Disproportionate Black Mortality Rate and Why Social inequities might be driving this (New York Times)
» Loss of smell a ‘highly specific indicator of COVID. 77.6% people get it. 40% had neither cough nor fever (NHS)
» Latest COVID-effective treatments and medicines
» Vaping increases risk (New York Times)
» Why you need to isolate (New York Times)
» Vaccine efficacy vs effectiveness. What does 95% effectiveness really mean? (New York Times)
» How do the Vaccines work? (washington post)
» How do the Vaccines work? (new york times)
» No Natural Immunity is Not Safer Than a Vaccine (New York Times)
» Immunity lasts at least 6 months (Japan Times) – maybe even years (New York Times)
» Long COVID symptoms, chronic illness and hospital rehabilitations for COVID sufferers (New York Times, Bloomberg)
» Long COVID affects young people too (CDC)
» Can wearing glasses protect you from COVID? Kinda. (New York Times, study)
» Do Blood Groups A, B, O etc affect risk? Suggestive evidence (CNN & study)
» The speed, spread and strategy of vaccine deployment matters just as much as efficacy (Health affairs)

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CHANGE LOG
UPDATE 1st Mar 2021
: Added a vaccination tab to the data tracker.
UPDATE 18th Jan 2021
: Added new interactives: Country Comparer and COVID Hotspots Map (coded by Univers Labs, Design by Nueker, concept & creative direction: David McCandless)
: Updated Top Outbreak Countries interactive
: Updated Coronavirus Trajectories
: Added 33 essential reads
UPDATE 12th Jan 2021
: Added German and Spanish translations of Riskiest Activities
UPDATE 10th Nov
: Added Portuguese version of Riskiest Activies
UPDATE 1st Sep
: Average Disease Deaths per Day updated.
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