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Dennis OConnor

Which Covid-19 Data Can You Trust? - 0 views

hbr.org/...ch-covid-19-data-can-you-trust

data visualization data covid Trustworthy

shared by Dennis OConnor on 10 May 20 - No Cached
  • incomplete or incorrect data can also muddy the waters, obscuring important nuances within communities, ignoring important factors such as socioeconomic realities, and creating false senses of panic or safety, not to mention other harms such as needlessly exposing private information.
  • Right now, bad data could produce serious missteps with consequences for millions.
  • Whether you’re a CEO, a consultant, a policymaker, or just someone who is trying to make sense of what’s going on, it’s essential to be able to sort the good data from the misleading — or even misguided.
  • ...24 more annotations...
  • These non-transparent, un-validated interventions — which are now being rolled out (or rolled back) in countries such as China, India, Israel and Vietnam — are in direct contravention to the open cross-border collaboration that scientists have adopted to address the Covid-19 pandemic.
  • Data products that are too broad, too specific, or lack context.
  • Public health practitioners and data privacy experts rely on proportionality
  • only use the data that you absolutely need for the intended purpose and no more.
  • Even data at an appropriate spatial resolution must be interpreted with caution — context is key.
  • Simply presenting them, or interpreting them without a proper contextual understanding, could inadvertently lead to imposing or relaxing restrictions on lives and livelihoods, based on incomplete information.
  • The technologies behind the data are unvetted or have limited utility.
  • Both producers and consumers of outputs from these apps must understand where these can fall short.
  • In the absence of a tightly coupled testing and treatment plan, however, these apps risk either providing false reassurance to communities where infectious but asymptomatic individuals can continue to spread disease, or requiring an unreasonably large number of people to quarantine.
  • Some contact-tracing apps follow black-box algorithms, which preclude the global community of scientists from refining them or adopting them elsewhere.
  • common red flags
  • Models are produced and presented without appropriate expertise.
  • Epidemiological models that can help predict the burden and pattern of spread of Covid-19 rely on a number of parameters that are, as yet, wildly uncertain.
  • n the absence of reliable virological testing data, we cannot fit models accurately, or know confidently what the future of this epidemic will look like
  • and yet numbers are being presented to governments and the public with the appearance of certainty
  • Read Carefully and Trust Cautiously
  • Transparency: Look for how the data, technology, or recommendations are presented.
  • Thoughtfulness: Look for signs of hubris.
  • Example: Telenor
  • Expertise: Look for the professionals. Examine the credentials of those providing and processing the data.
  • Open Platforms: Look for the collaborators.
  • technology companies like Camber Systems, Cubeiq and Facebook have allowed scientists to examine their data,
  • The Covid-19 Mobility Data Network, of which we are part, comprises a voluntary collaboration of epidemiologists from around the world analyzes aggregated data from technology companies to provide daily insights to city and state officials from California to Dhaka, Bangladesh
  • This pandemic has been studied more intensely in a shorter amount of time than any other human event.
  • Dennis OConnor on 10 May 20
     
    "This pandemic has been studied more intensely in a shorter amount of time than any other human event. Our globalized world has rapidly generated and shared a vast amount of information about it. It is inevitable that there will be bad as well as good data in that mix. These massive, decentralized, and crowd-sourced data can reliably be converted to life-saving knowledge if tempered by expertise, transparency, rigor, and collaboration. When making your own decisions, read closely, trust carefully, and when in doubt, look to the experts."
Dennis OConnor

http://jacobsschool.ucsd.edu/faculty/faculty_bios/findprofile.sfe?fmp_recid=360 - 0 views

jacobsschool.ucsd.edu/...findprofile.sfe

ecosystem Calit2

shared by Dennis OConnor on 29 May 18 - No Cached
  • Dennis OConnor on 29 May 18
     
    Jurgen P. Schulze "Dr. Schulze's research focus is on making interactive 3D visualization systems easier to use. This includes both the visual display of the data, and input paradigms. Dr. Schulze uses high-end clustered graphics systems, such as virtual reality CAVEs to immerse the user in the data, and he uses 3D tracked input devices and more recently smart phones and tablets to interact with the virtual reality system. Dr. Schulze is the director of the Immersive Visualization Laboratory (IVL) at UC San Diego's Qualcomm Institute, the San Diego division of Calit2. In the CSE Department, Dr. Schulze teaches CSE 167 (Introduction to Computer Graphics) and CSE 165 (3D User Interfaces) and runs independent study projects in his laboratory at the Qualcomm Institute."
Dennis OConnor

Gapminder - Hans Rosling's TED TALK Archive - 1 views

www.gapminder.org/tedtalks

Hans-Rosling data visualization data

shared by Dennis OConnor on 22 Sep 18 - No Cached
  • Dennis OConnor on 22 Sep 18
     
    Rosling and Gapminder creating stunning dynamic data visualizations of WHO (World Heath Organization) statistics. They are dedicated to proving with data the FACTS about our world. This is a way to a global view point that will help us all see that life on our planet is far better than it has ever been. Ready to use data to challenge your assumptions and shed your misconceptions? Dive in!
Dennis OConnor

Hands-On Data Journalism: Techniques of Analysis and Visualization - Journalism Courses... - 0 views

journalismcourses.org/...-of-analysis-and-visualization

data journalism visualization

shared by Dennis OConnor on 07 May 21 - No Cached
  • Dennis OConnor on 07 May 21
     
    "Through hands-on tutorials over the next four weeks, we want to make you a better data journalist who can use a few free tools and specific techniques to make it easier to mine datasets in search of answers and stories. We will use an example database (about dogs !) along with a dataset of your own choosing."
  • Dennis OConnor on 07 May 21
     
    May 31st to June 27 - $95
Dennis OConnor

Don't "Flatten the Curve," stop it! - Joscha Bach - Medium - 1 views

medium.com/...a-deadly-delusion-eea324fe9727

Cognitive mit AI covid data visualization containment

shared by Dennis OConnor on 17 Mar 20 - No Cached
  • What all these diagrams have in common:
  • They have no numbers on the axes.
  • They don’t give you an idea how many cases it takes to overwhelm the medical system, and over how many days the epidemic will play out.
  • ...46 more annotations...
  • They suggest that currently, the medical system can deal with a large fraction (like maybe 2/3, 1/2 or 1/3) of the cases, but if we implement some mitigation measures, we can get the infections per day down to a level we can deal with.
  • They mean to tell you that we can get away without severe lockdowns as we are currently observing them in China and Italy.
  • nstead, we let the infection burn through the entire population, until we have herd immunity (at 40% to 70%), and just space out the infections over a longer timespan.
  • The Curve Is a Lie
  • suggestions are dangerously wrong, and if implemented, will lead to incredible suffering and hardship.
  • Let’s try to understand this by putting some numbers on the axes.
  • California has only 1.8.
  • The US has about 924,100 hospital beds (2.8 per 1000 people)
  • Germany have 8
  • South Korea has 12
  • Based on Chinese data, we can estimate that about 20% of COVID-19 cases are severe and require hospitalization
  • many severe cases will survive if they can be adequately provided for at home
  • by some estimates can be stretched to about a 100,000, and of which about 30,000 may be available
  • mportant is the number of ICU beds
  • oxygen, IVs and isolation
  • About 6% of all cases need a ventilator
  • if hospitals put all existing ventilators to use, we have 160,000 of them
  • CDC has a strategic stockpile of 8900 ventilators
  • number of ventilators as a proximate limit on the medical resources, it means we can take care of up to 170,000 critically ill patients at the same time.
  • Without containment, the virus becomes endemic
  • Let’s assume that 55% of the US population (the middle ground) get infected between March and December, and we are looking at 180 million people.
  • the point of my argument is not that we are doomed, or that 6% of our population has to die, but that we must understand that containment is unavoidable, and should not be postponed, because later containment is going to be less effective and more expensive, and leads to additional deaths.
  • About 20% will develop a severe case and need medical support to survive.
  • Severe cases tend to take about 3–6 weeks to recover
  • 6% may need intubation and/or ventilation
  • Once a person is on the ventilator, it often takes about 4 weeks for them to get out of intensive care again.
  • The “flattening the curve” idea suggests that if we wash our hands and stay at home while being sick aggressively enough, we won’t have to stop the virus from becoming endemic and infecting 40% to 70% of all people, but we can slow the spread of the infection so much that out medical system can deal with the case load. This is how our normally distributed curve looks like when it contains 10.8 million patients, of which no more than 170,000 are ill at the same time:
  • Dampening the infection rate of COVID-19 to a level that is compatible with our medical system means that we would have to spread the epidemic over more than a decade!
  • confident that we will have found effective treatments until the
  • reducing the infectivity of the new corona virus to a manageable level is simply not going to be possible by mitigation, it will require containment.
  • My back-of-the-envelope calculation is not a proper simulation, or a good model of what’s going on either. Don’t cite it as such!
  • Of the 180 million, 80% will be regarded as “mild” cases.
  • Containment works
  • China has demonstrated to us that containment works
  • lockdown of Wuhan did not lead to starvation or riots
  • made it possible to focus more medical resources on the region that needed it most
  • implemented effective containment measures as soon as the first cases emerged.
  • South Korea was tracking its first 30 cases very well, until patient 31 infected over 1000 others on a church congregation.
  • For some reason, Western countries refused to learn the lesson.
  • The US, UK and Germany are not yet at this point: they try to “flatten the curve” by implementing ineffective or half hearted measures that are only meant to slow down the spread of the disease
  • instead of containing it.
  • some countries will stomp out the virus and others will no
  • few months from now
  • almost all travel from red zones into green zones will come to a hal
  • world will turn into red zones and green zones
  • Flattening the curve is not an option for the United States, for the UK or Germany. Don’t tell your friends to flatten the curve. Let’s start containment and stop the curve.
  • Dennis OConnor on 17 Mar 20
     
    "Flattening the curve is not an option for the United States, for the UK or Germany. Don't tell your friends to flatten the curve. Let's start containment and stop the curve." Strong article with data visualizations from a Phd working out of MIT/Harvard.
Dennis OConnor

91-DIVOC : Flip the script on COVID-19 | 91-DIVOC - 0 views

91-divoc.com

data

shared by Dennis OConnor on 21 Jul 20 - No Cached
  • Dennis OConnor on 21 Jul 20
     
    "91-DIVOC is home to many data-forward, high-quality, interactive, and informative visualizations made during the global pandemic created by Prof. Wade Fagen-Ulmschneider. I hope you'll spend some time and nerd out on data with me! :)"
Dennis OConnor

Exporting Your Data with Oura on the Web - Oura Help - 0 views

support.ouraring.com/...ownloading-Your-Data-from-Oura

oura data data visualization

shared by Dennis OConnor on 20 Mar 20 - No Cached
  • Dennis OConnor on 20 Mar 20
     
    Here is how you login to Oura to see your data: https://cloud.ouraring.com/account/login
Dennis OConnor

Visualizing the Long Covid experience | by Katie McCurdy | Jul, 2022 | Medium - 0 views

medium.com/...-covid-experience-f0d20e5f3ecd

covid data visualization

shared by Dennis OConnor on 23 Jul 22 - No Cached
  • Dennis OConnor on 23 Jul 22
     
    "As a highly allergic and reactive person with multiple autoimmune conditions, I am likely at risk for Long Covid. I've closely followed the news about this mysterious and pervasive new condition and read about its debilitating symptoms. But until now, I hadn't personally known anyone with Long Covid."
Dennis OConnor

Hans Rosling: The best stats you've ever seen | TED Talk - 1 views

www.ted.com/...he_best_stats_you_ve_ever_seen

Hans-Rosling data visualization data

shared by Dennis OConnor on 22 Sep 18 - No Cached
  • Dennis OConnor on 22 Sep 18
     
    "You've never seen data presented like this. With the drama and urgency of a sportscaster, statistics guru Hans Rosling debunks myths about the so-called "developing world." Closing in on 13 million views -- 7 billion to go. This talk was presented at an official TED conference, and was featured by our editors on the home page."
Dennis OConnor

Factfulness (the book) - 1 views

www.gapminder.org/factfulness-book

Hans-Rosling data visualization data Factfulness

shared by Dennis OConnor on 22 Sep 18 - No Cached
  • Dennis OConnor on 22 Sep 18
     
    "When asked simple questions about global trends―what percentage of the world's population live in poverty; why the world's population is increasing; how many girls finish school―we systematically get the answers wrong. So wrong that a chimpanzee choosing answers at random will consistently outguess teachers, journalists, Nobel laureates, and investment bankers."
Dennis OConnor

Why I want to stop talking about the developing world | Bill Gates - 1 views

www.gatesnotes.com/...Factfulness

Hans-Rosling data visualization data Factfulness

shared by Dennis OConnor on 22 Sep 18 - No Cached
  • Dennis OConnor on 22 Sep 18
     
    "I talk about the developed and developing world all the time, but I shouldn't. My late friend Hans Rosling called the labels "outdated" and "meaningless." Any categorization that lumps together China and the Democratic Republic of Congo is too broad to be useful. But I've continued to use "developed" and "developing" in public (and on this blog) because there wasn't a more accurate, easily understandable alternative-until now."
Dennis OConnor

Coronavirus COVID-19 (2019-nCoV) - 1 views

gisanddata.maps.arcgis.com/...index.html

covid data data visualization

shared by Dennis OConnor on 04 Apr 20 - No Cached
  • Dennis OConnor on 04 Apr 20
     
    Interactive Map - Global to city range.
Dennis OConnor

WIFIRE Lab - YouTube - 0 views

www.youtube.com/...UCrKsxI7TEp0KbD0D0iM5zSw

youtube data data visualization

shared by Dennis OConnor on 22 Jul 21 - No Cached
  • Dennis OConnor on 22 Jul 21
     
    Jessica Block's Lab - Subscribe to support the work.
Dennis OConnor

The Design Lab - UC San Diego - 0 views

designlab.ucsd.edu

design-thinking ecosystem

shared by Dennis OConnor on 29 May 18 - No Cached
  • Dennis OConnor on 29 May 18
     
    he UC San Diego Design Lab works on major societal issues, such as large-scale education, automation, healthcare, visualization of complex phenomena and data, social interactions, citizen science, and the ethical issues that are of ever-increasing importance.
Dennis OConnor

MIT AgeLab Caregiver Study - 0 views

agelab.mit.edu/...caregiving

research data visualization aging

shared by Dennis OConnor on 26 Feb 20 - No Cached
  • Dennis OConnor on 26 Feb 20
     
    A large portion of the population is involved in providing unpaid care for a family member. However, not much is known about what caregivers are doing on a daily basis, what services and resources they use, and how they balance caregiving with work and personal life. Researchers at the MIT AgeLab has conducted an exploratory study to learn more about caregivers and the caregiving experience. The research process and results are presented in this website.
Dennis OConnor

The race for coronavirus vaccines: a graphical guide - 0 views

www.nature.com/...d41586-020-01221-y

covid research data visualization infographic

shared by Dennis OConnor on 02 May 20 - No Cached
  • Dennis OConnor on 02 May 20
     
    "Eight ways in which scientists hope to provide immunity to SARS-CoV-2 ."
Dennis OConnor

Gapminder Tools - 0 views

www.gapminder.org/tools

data visualization

shared by Dennis OConnor on 10 May 20 - No Cached
  • Dennis OConnor on 10 May 20
     
    Hans Rosling - Gap Minder - 2019 Iife Expectancy World Regions
Dennis OConnor

Mendi.io - Brain Training Tracker + Gamification - 0 views

www.mendi.io/?gclid=CjwKCAjwgb6IBhAREiwAgMYKRlj-NdWVEitAY3UAMUwbgBmJ8wa98VqSNHjWPr9vSYy_OxSzxVktuhoCsdYQAvD_BwE

data training cognition games tracking

shared by Dennis OConnor on 08 Aug 21 - No Cached
  • Dennis OConnor on 08 Aug 21
     
    See your brain activity visualized in Mendi's training game. You control the game using only your brain, making brain training tangible and visible. "Make the ball rise and earn points. These are both signs you're increasing your brain activity and strengthening your neural pathways. The goal? Better brain performance and mental wellbeing."
Dennis OConnor

Pictal Health- Katie McCurdy - 3 views

www.pictalhealth.com

timeline data visualization tracking

shared by Dennis OConnor on 29 Sep 19 - No Cached
  • Dennis OConnor on 08 Nov 19
     
    It's hard to tell a complex story. At appointments, you feel pressured to remember what happened and tell your story in the right order. The details are often trapped in old medical records. Especially when visiting a new doctor, it's challenging to tell your whole life story.
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