What’s the latest on whether kids are as likely as adults to be hospitalized and to fall critically ill from COVID-19?
Data and Metrics Families/Kids
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: The latest news is good news for those worried about kids: The chances of being hospitalized and ending up in intensive care are much lower — by an order of magnitude — for children <18 years old compared to those 18-64. Here’s the core nugget of results from the study as reported by NPR: Read more…
Are racial and ethnic minorities at a higher risk of dying from COVID-19?
Data and Metrics Social and Racial Justice
Lauren Hale, PhD MA
A: Unfortunately, from the available data, African Americans and Hispanics are disproportionately represented among COVID-19 deaths in the US. At present, most states are not reporting on the racial and ethnic patterns. There are many pathways through which minorities may have worse outcomes including social, socioeconomic and living circumstances increasing susceptibility to infection, in addition Read more…
Are the official numbers reported on the dashboards too high or too low?
Data and Metrics Data Literacy
Lauren Hale, PhD MA
A: The official numbers are most likely an undercount of actual COVID-19 related deaths. Read this Twitter feed for a breakdown of the types of COVID-19 deaths written by fellow demographer Andrew Noymer. The numbers on the dashboards only include those deaths that fall into Category 1, confirmed COVID-19 cases. Category 2 includes deaths that Read more…
How many people are really dying from COVID-19?
Data and Metrics Data Literacy
Aparna Kumar, PhD CRNP MPH
A: The real truth lies in the numbers that we don’t have….yet. This Economist graphic sums it up well….what we really need to know are the excess deaths, that is the additional deaths, (outside of top reasons for death) not just those officially attributed to COVID-19. Links: Economist Original FB post
DATA NERD ALERT!
Data and Metrics
Lindsey Leininger, PhD MA
Today Google released “Community Mobility Reports” demonstrating how movement patterns have changed since social distancing’s enactment. You can check out your own community here. Link to original FB post
Why do all the models tell us something different about what to expect from the pandemic?
Data and Metrics Data Literacy
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: It is complicated, but can be summed up well in this article by 538. TL; DR there are three primary factors: 1) Exponential growth makes models have great variation (think the estimates of 200,000 deaths vs. 2 million deaths); 2) There are many unknown factors (such as regarding the true rates of infected persons); Read more…
Video on Exponential Growth and Epidemic
Data and Metrics Videos
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Hey COVID19 nerds. Here is another awesome Grant Sanderson YouTube video explaining exponential growth & epidemics. An excellent refresher if you haven’t seen this math for a while, and an equally lucid and accessible tutorial if, well, yeah. (Also, got a high schooler cooped up in the house? A timely 9-minute math lesson ready to Read more…
Suspected-Infectious-Recovered
Data and Metrics Infection and Spread
Alison Buttenheim, PhD MBA, Co-founder & Advisor
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and Spread
Jennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
A: The latest news is good news for those worried about kids: The chances of being hospitalized and ending up in intensive care are much lower — by an order of magnitude — for children <18 years old compared to those 18-64. Here’s the core nugget of results from the study as reported by NPR: Read more…
Are racial and ethnic minorities at a higher risk of dying from COVID-19?
Data and Metrics Social and Racial JusticeLauren Hale, PhD MA
A: Unfortunately, from the available data, African Americans and Hispanics are disproportionately represented among COVID-19 deaths in the US. At present, most states are not reporting on the racial and ethnic patterns. There are many pathways through which minorities may have worse outcomes including social, socioeconomic and living circumstances increasing susceptibility to infection, in addition Read more…
Are the official numbers reported on the dashboards too high or too low?
Data and Metrics Data Literacy
Lauren Hale, PhD MA
A: The official numbers are most likely an undercount of actual COVID-19 related deaths. Read this Twitter feed for a breakdown of the types of COVID-19 deaths written by fellow demographer Andrew Noymer. The numbers on the dashboards only include those deaths that fall into Category 1, confirmed COVID-19 cases. Category 2 includes deaths that Read more…
How many people are really dying from COVID-19?
Data and Metrics Data Literacy
Aparna Kumar, PhD CRNP MPH
A: The real truth lies in the numbers that we don’t have….yet. This Economist graphic sums it up well….what we really need to know are the excess deaths, that is the additional deaths, (outside of top reasons for death) not just those officially attributed to COVID-19. Links: Economist Original FB post
DATA NERD ALERT!
Data and Metrics
Lindsey Leininger, PhD MA
Today Google released “Community Mobility Reports” demonstrating how movement patterns have changed since social distancing’s enactment. You can check out your own community here. Link to original FB post
Why do all the models tell us something different about what to expect from the pandemic?
Data and Metrics Data Literacy
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: It is complicated, but can be summed up well in this article by 538. TL; DR there are three primary factors: 1) Exponential growth makes models have great variation (think the estimates of 200,000 deaths vs. 2 million deaths); 2) There are many unknown factors (such as regarding the true rates of infected persons); Read more…
Video on Exponential Growth and Epidemic
Data and Metrics Videos
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Hey COVID19 nerds. Here is another awesome Grant Sanderson YouTube video explaining exponential growth & epidemics. An excellent refresher if you haven’t seen this math for a while, and an equally lucid and accessible tutorial if, well, yeah. (Also, got a high schooler cooped up in the house? A timely 9-minute math lesson ready to Read more…
Suspected-Infectious-Recovered
Data and Metrics Infection and Spread
Alison Buttenheim, PhD MBA, Co-founder & Advisor
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and Spread
Jennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
A: Unfortunately, from the available data, African Americans and Hispanics are disproportionately represented among COVID-19 deaths in the US. At present, most states are not reporting on the racial and ethnic patterns. There are many pathways through which minorities may have worse outcomes including social, socioeconomic and living circumstances increasing susceptibility to infection, in addition Read more…
Are the official numbers reported on the dashboards too high or too low?
Data and Metrics Data LiteracyLauren Hale, PhD MA
A: The official numbers are most likely an undercount of actual COVID-19 related deaths. Read this Twitter feed for a breakdown of the types of COVID-19 deaths written by fellow demographer Andrew Noymer. The numbers on the dashboards only include those deaths that fall into Category 1, confirmed COVID-19 cases. Category 2 includes deaths that Read more…
How many people are really dying from COVID-19?
Data and Metrics Data Literacy
Aparna Kumar, PhD CRNP MPH
A: The real truth lies in the numbers that we don’t have….yet. This Economist graphic sums it up well….what we really need to know are the excess deaths, that is the additional deaths, (outside of top reasons for death) not just those officially attributed to COVID-19. Links: Economist Original FB post
DATA NERD ALERT!
Data and Metrics
Lindsey Leininger, PhD MA
Today Google released “Community Mobility Reports” demonstrating how movement patterns have changed since social distancing’s enactment. You can check out your own community here. Link to original FB post
Why do all the models tell us something different about what to expect from the pandemic?
Data and Metrics Data Literacy
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: It is complicated, but can be summed up well in this article by 538. TL; DR there are three primary factors: 1) Exponential growth makes models have great variation (think the estimates of 200,000 deaths vs. 2 million deaths); 2) There are many unknown factors (such as regarding the true rates of infected persons); Read more…
Video on Exponential Growth and Epidemic
Data and Metrics Videos
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Hey COVID19 nerds. Here is another awesome Grant Sanderson YouTube video explaining exponential growth & epidemics. An excellent refresher if you haven’t seen this math for a while, and an equally lucid and accessible tutorial if, well, yeah. (Also, got a high schooler cooped up in the house? A timely 9-minute math lesson ready to Read more…
Suspected-Infectious-Recovered
Data and Metrics Infection and Spread
Alison Buttenheim, PhD MBA, Co-founder & Advisor
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and Spread
Jennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
A: The official numbers are most likely an undercount of actual COVID-19 related deaths. Read this Twitter feed for a breakdown of the types of COVID-19 deaths written by fellow demographer Andrew Noymer. The numbers on the dashboards only include those deaths that fall into Category 1, confirmed COVID-19 cases. Category 2 includes deaths that Read more…
How many people are really dying from COVID-19?
Data and Metrics Data LiteracyAparna Kumar, PhD CRNP MPH
A: The real truth lies in the numbers that we don’t have….yet. This Economist graphic sums it up well….what we really need to know are the excess deaths, that is the additional deaths, (outside of top reasons for death) not just those officially attributed to COVID-19. Links: Economist Original FB post
DATA NERD ALERT!
Data and Metrics
Lindsey Leininger, PhD MA
Today Google released “Community Mobility Reports” demonstrating how movement patterns have changed since social distancing’s enactment. You can check out your own community here. Link to original FB post
Why do all the models tell us something different about what to expect from the pandemic?
Data and Metrics Data Literacy
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: It is complicated, but can be summed up well in this article by 538. TL; DR there are three primary factors: 1) Exponential growth makes models have great variation (think the estimates of 200,000 deaths vs. 2 million deaths); 2) There are many unknown factors (such as regarding the true rates of infected persons); Read more…
Video on Exponential Growth and Epidemic
Data and Metrics Videos
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Hey COVID19 nerds. Here is another awesome Grant Sanderson YouTube video explaining exponential growth & epidemics. An excellent refresher if you haven’t seen this math for a while, and an equally lucid and accessible tutorial if, well, yeah. (Also, got a high schooler cooped up in the house? A timely 9-minute math lesson ready to Read more…
Suspected-Infectious-Recovered
Data and Metrics Infection and Spread
Alison Buttenheim, PhD MBA, Co-founder & Advisor
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and Spread
Jennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
A: The real truth lies in the numbers that we don’t have….yet. This Economist graphic sums it up well….what we really need to know are the excess deaths, that is the additional deaths, (outside of top reasons for death) not just those officially attributed to COVID-19. Links: Economist Original FB post
DATA NERD ALERT!
Data and MetricsLindsey Leininger, PhD MA
Today Google released “Community Mobility Reports” demonstrating how movement patterns have changed since social distancing’s enactment. You can check out your own community here. Link to original FB post
Why do all the models tell us something different about what to expect from the pandemic?
Data and Metrics Data Literacy
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: It is complicated, but can be summed up well in this article by 538. TL; DR there are three primary factors: 1) Exponential growth makes models have great variation (think the estimates of 200,000 deaths vs. 2 million deaths); 2) There are many unknown factors (such as regarding the true rates of infected persons); Read more…
Video on Exponential Growth and Epidemic
Data and Metrics Videos
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Hey COVID19 nerds. Here is another awesome Grant Sanderson YouTube video explaining exponential growth & epidemics. An excellent refresher if you haven’t seen this math for a while, and an equally lucid and accessible tutorial if, well, yeah. (Also, got a high schooler cooped up in the house? A timely 9-minute math lesson ready to Read more…
Suspected-Infectious-Recovered
Data and Metrics Infection and Spread
Alison Buttenheim, PhD MBA, Co-founder & Advisor
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and Spread
Jennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
Today Google released “Community Mobility Reports” demonstrating how movement patterns have changed since social distancing’s enactment. You can check out your own community here. Link to original FB post
Why do all the models tell us something different about what to expect from the pandemic?
Data and Metrics Data LiteracyAlison Buttenheim, PhD MBA, Co-founder & Advisor
A: It is complicated, but can be summed up well in this article by 538. TL; DR there are three primary factors: 1) Exponential growth makes models have great variation (think the estimates of 200,000 deaths vs. 2 million deaths); 2) There are many unknown factors (such as regarding the true rates of infected persons); Read more…
Video on Exponential Growth and Epidemic
Data and Metrics Videos
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Hey COVID19 nerds. Here is another awesome Grant Sanderson YouTube video explaining exponential growth & epidemics. An excellent refresher if you haven’t seen this math for a while, and an equally lucid and accessible tutorial if, well, yeah. (Also, got a high schooler cooped up in the house? A timely 9-minute math lesson ready to Read more…
Suspected-Infectious-Recovered
Data and Metrics Infection and Spread
Alison Buttenheim, PhD MBA, Co-founder & Advisor
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and Spread
Jennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
A: It is complicated, but can be summed up well in this article by 538. TL; DR there are three primary factors: 1) Exponential growth makes models have great variation (think the estimates of 200,000 deaths vs. 2 million deaths); 2) There are many unknown factors (such as regarding the true rates of infected persons); Read more…
Video on Exponential Growth and Epidemic
Data and Metrics VideosAlison Buttenheim, PhD MBA, Co-founder & Advisor
Hey COVID19 nerds. Here is another awesome Grant Sanderson YouTube video explaining exponential growth & epidemics. An excellent refresher if you haven’t seen this math for a while, and an equally lucid and accessible tutorial if, well, yeah. (Also, got a high schooler cooped up in the house? A timely 9-minute math lesson ready to Read more…
Suspected-Infectious-Recovered
Data and Metrics Infection and Spread
Alison Buttenheim, PhD MBA, Co-founder & Advisor
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and Spread
Jennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
Hey COVID19 nerds. Here is another awesome Grant Sanderson YouTube video explaining exponential growth & epidemics. An excellent refresher if you haven’t seen this math for a while, and an equally lucid and accessible tutorial if, well, yeah. (Also, got a high schooler cooped up in the house? A timely 9-minute math lesson ready to Read more…
Suspected-Infectious-Recovered
Data and Metrics Infection and SpreadAlison Buttenheim, PhD MBA, Co-founder & Advisor
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and Spread
Jennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
If you’ve been curious to see how “SIR” (Suspected-Infectious-Recovered) disease models work, and what happens when different outbreak parameters change, this is your lucky day! Check out this Grant Sanderson video (23 minutes long). Link to original FB post
Ed Yong: How the Pandemic Will End
Data and Metrics Infection and SpreadJennifer Beam Dowd, PhD
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
Ed Yong is one of the best science writers out there, please read this long but thoughtful piece on what lies ahead, both the challenges and potential long-term silver linings. Link to original FB post
Wisconsin’s “Safer at Home” order
Data and MetricsAlison Buttenheim, PhD MBA, Co-founder & Advisor
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and Metrics
Alison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
Over the past week, Nerdy Girls Malia Jones and Lindsey Leininger have been building models and making recommendations in support of Wisconsin’s “Safer at Home” order. Malia reports: “I’m running some estimates on COVID-19 cases here in Wisconsin. Compared to a fictional scenario D (for Doing Nothing), we have *already* prevented 12,500 infections and at Read more…
Isn’t COVID-19 basically like flu?
Data and MetricsAlison Buttenheim, PhD MBA, Co-founder & Advisor
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
A: No, it’s not, in many ways. Infographic below lays it out nicely. Big differences are: * COVID-19 has a higher “R0” or reproductive number –1 sick person can infect 2.0-2.5 other people. * COVID-19 has a longer “incubation period” — time interval from exposure to symptoms. (And more time when you can asymptomatically “shed” Read more…
COVID-19 Data by Age
Data and Metrics Data LiteracyJennifer Beam Dowd, PhD
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
Even more reasons for collective vigilance: New data from CDC the suggests that young people make up a significant fraction of those hospitalized with COVID-19 thus far in the US: 38% of those hospitalized were between 20 and 54, with nearly half of ICU admissions under age 65. Fortunately, the youngest age group, people 19 Read more…
COVID-19 Data Dashboard
Data and Metrics Data LiteracyLindsey Leininger, PhD MA
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and Metrics
Lindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
For those who dig data (viz): the worldometers website provides a helpful COVID-19 data dashboard updated daily. Posted by Lindsey Leininger H/T Aron Fischer Link to original FB post
Macroeconomic Impacts of COVID-19
Data and MetricsLindsey Leininger, PhD MA
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics Socializing
Alison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
McKinsey’s current projections on likely macroeconomic impacts of COVID-19: Best case: Global GDP in 2020 falls slightly Worst Case: Global GDP meaningfully contracts in 2020, recovery begins in Q2 2021 Other great gems in this report, too (e.g. responses of CEOs to a survey about current workstream changes). Link to original FB post
Data on Reducing Social Contacts
Data and Metrics SocializingAlison Buttenheim, PhD MBA, Co-founder & Advisor
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
We’re more meme than monograph here but this picture is worth a zillion words. See how much we can reduce #COVID19 cases when we reduce social contact by 👍25%, 👍👍50%, and 👍👍👍75%?!? This is exactly why we suggest not going on that trip, to that event, etc, and encourage workplaces and schools to go remote. Read more…
