Are doctors over-reporting COVID-19 deaths?
Data and Metrics Data Literacy
Lauren Hale, PhD MA
A: Nope. Based on recent data from the CDC, we can see that starting in mid-March there have been thousands of excess deaths (overall deaths compared to historical mortality patterns) that have not been counted as COVID-19 deaths. This likely under-reporting of COVID-19 deaths is especially true in places that have been harder hit by Read more…
When comparing COVID-19 cases across countries, should I look at graphs that are adjusted for country population size or just the total number of cases?
Data and Metrics Data Literacy Infection and Spread
Alison Buttenheim, PhD MBA, Co-founder & Advisor
Q: If I want to look at graphs of COVID-19 cases and compare across countries, should I look at graphs that are adjusted for country population size (for example, number of cases per 100,000 people) or just the total number of cases? A: Hey, whatever floats your boat, we won’t judge, but there’s a good Read more…
Are COVID-19 deaths being undercounted?
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
A: Yes, very likely. Since thus far most COVID-19 deaths are only recorded as such if the person has tested positive prior to death, deaths at home or in nursing/care homes and even in hospitals may not be counted. In New York City this week, officials released additional data on “presumptive” cases due to their Read more…
DATA NERD ALERT
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
StatNews has produced a cool new data dashboard with county-level COVID preparedness scores. The tool synthesizes a variety of county-level factors (e.g. access to care, % population at risk for severe infections, and socioeconomic vulnerability) and incorporates epidemiological estimates from a leading modeling group (IHME at the University of Washington). EDITED UPDATE: The dashboard is Read more…
Why is everyone suddenly talking about the positivity rate? Is this positive psychology or something else?
Data and Metrics Data Literacy Infection and Spread Testing and Contact Tracing
Aparna Kumar, PhD CRNP MPH
A: Definitely not positive psychology! The positivity rate is simply the fraction of people who test positive for COVID-19 out of all the people who get tested. It is important because it is a rough indicator of how much of the true extent of COVID-19 infection is being detected and diagnosed. In other words, a 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
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…
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
A: Nope. Based on recent data from the CDC, we can see that starting in mid-March there have been thousands of excess deaths (overall deaths compared to historical mortality patterns) that have not been counted as COVID-19 deaths. This likely under-reporting of COVID-19 deaths is especially true in places that have been harder hit by Read more…
When comparing COVID-19 cases across countries, should I look at graphs that are adjusted for country population size or just the total number of cases?
Data and Metrics Data Literacy Infection and SpreadAlison Buttenheim, PhD MBA, Co-founder & Advisor
Q: If I want to look at graphs of COVID-19 cases and compare across countries, should I look at graphs that are adjusted for country population size (for example, number of cases per 100,000 people) or just the total number of cases? A: Hey, whatever floats your boat, we won’t judge, but there’s a good Read more…
Are COVID-19 deaths being undercounted?
Data and Metrics Data Literacy
Jennifer Beam Dowd, PhD
A: Yes, very likely. Since thus far most COVID-19 deaths are only recorded as such if the person has tested positive prior to death, deaths at home or in nursing/care homes and even in hospitals may not be counted. In New York City this week, officials released additional data on “presumptive” cases due to their Read more…
DATA NERD ALERT
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
StatNews has produced a cool new data dashboard with county-level COVID preparedness scores. The tool synthesizes a variety of county-level factors (e.g. access to care, % population at risk for severe infections, and socioeconomic vulnerability) and incorporates epidemiological estimates from a leading modeling group (IHME at the University of Washington). EDITED UPDATE: The dashboard is Read more…
Why is everyone suddenly talking about the positivity rate? Is this positive psychology or something else?
Data and Metrics Data Literacy Infection and Spread Testing and Contact Tracing
Aparna Kumar, PhD CRNP MPH
A: Definitely not positive psychology! The positivity rate is simply the fraction of people who test positive for COVID-19 out of all the people who get tested. It is important because it is a rough indicator of how much of the true extent of COVID-19 infection is being detected and diagnosed. In other words, a 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
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…
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
Q: If I want to look at graphs of COVID-19 cases and compare across countries, should I look at graphs that are adjusted for country population size (for example, number of cases per 100,000 people) or just the total number of cases? A: Hey, whatever floats your boat, we won’t judge, but there’s a good Read more…
Are COVID-19 deaths being undercounted?
Data and Metrics Data LiteracyJennifer Beam Dowd, PhD
A: Yes, very likely. Since thus far most COVID-19 deaths are only recorded as such if the person has tested positive prior to death, deaths at home or in nursing/care homes and even in hospitals may not be counted. In New York City this week, officials released additional data on “presumptive” cases due to their Read more…
DATA NERD ALERT
Data and Metrics Data Literacy
Lindsey Leininger, PhD MA
StatNews has produced a cool new data dashboard with county-level COVID preparedness scores. The tool synthesizes a variety of county-level factors (e.g. access to care, % population at risk for severe infections, and socioeconomic vulnerability) and incorporates epidemiological estimates from a leading modeling group (IHME at the University of Washington). EDITED UPDATE: The dashboard is Read more…
Why is everyone suddenly talking about the positivity rate? Is this positive psychology or something else?
Data and Metrics Data Literacy Infection and Spread Testing and Contact Tracing
Aparna Kumar, PhD CRNP MPH
A: Definitely not positive psychology! The positivity rate is simply the fraction of people who test positive for COVID-19 out of all the people who get tested. It is important because it is a rough indicator of how much of the true extent of COVID-19 infection is being detected and diagnosed. In other words, a 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
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…
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
A: Yes, very likely. Since thus far most COVID-19 deaths are only recorded as such if the person has tested positive prior to death, deaths at home or in nursing/care homes and even in hospitals may not be counted. In New York City this week, officials released additional data on “presumptive” cases due to their Read more…
DATA NERD ALERT
Data and Metrics Data LiteracyLindsey Leininger, PhD MA
StatNews has produced a cool new data dashboard with county-level COVID preparedness scores. The tool synthesizes a variety of county-level factors (e.g. access to care, % population at risk for severe infections, and socioeconomic vulnerability) and incorporates epidemiological estimates from a leading modeling group (IHME at the University of Washington). EDITED UPDATE: The dashboard is Read more…
Why is everyone suddenly talking about the positivity rate? Is this positive psychology or something else?
Data and Metrics Data Literacy Infection and Spread Testing and Contact Tracing
Aparna Kumar, PhD CRNP MPH
A: Definitely not positive psychology! The positivity rate is simply the fraction of people who test positive for COVID-19 out of all the people who get tested. It is important because it is a rough indicator of how much of the true extent of COVID-19 infection is being detected and diagnosed. In other words, a 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
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…
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
StatNews has produced a cool new data dashboard with county-level COVID preparedness scores. The tool synthesizes a variety of county-level factors (e.g. access to care, % population at risk for severe infections, and socioeconomic vulnerability) and incorporates epidemiological estimates from a leading modeling group (IHME at the University of Washington). EDITED UPDATE: The dashboard is Read more…
Why is everyone suddenly talking about the positivity rate? Is this positive psychology or something else?
Data and Metrics Data Literacy Infection and Spread Testing and Contact TracingAparna Kumar, PhD CRNP MPH
A: Definitely not positive psychology! The positivity rate is simply the fraction of people who test positive for COVID-19 out of all the people who get tested. It is important because it is a rough indicator of how much of the true extent of COVID-19 infection is being detected and diagnosed. In other words, a 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
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…
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
A: Definitely not positive psychology! The positivity rate is simply the fraction of people who test positive for COVID-19 out of all the people who get tested. It is important because it is a rough indicator of how much of the true extent of COVID-19 infection is being detected and diagnosed. In other words, a 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
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…
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
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
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…
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
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
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…
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
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…
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
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
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
