Category Archives: Data Interpretation

Cartoon – Under Control

Posted on by • Posted in 2020 Election Issues, Blame, Cartoon, Centers for Disease Control & Prevention (CDC), Communication, Control, Coronavirus, Credibility, Data Control, Data Integrity, Data Interpretation, Data Management, Denial, Economic Crisis, Economic Recovery, Evidence-based Leadership, Evidence-Based Plan, Evidence-Based Policy, False Hope, False Narrative, Free Speech, Freedom, Freedom of the Press, Infection Control, Infection Control Plan, Infectious Virus, Misleading, Mistrust, Mixed Message, Mortality, National Strategy, Pandemic, Partisanship, Public Good, Public Health, Public Safety, Quarantine, Scapegoat, Scientists, Social Distancing, Transparency, Trust, Truth, Wishful Thinking • Leave a comment

Coronavirus | The Manchester Journal | Manchester Breaking News ...

America has to be ready for mail voting to avert an election crisis

Posted on by • Posted in 2020 Election Issues, Coronavirus, Crisis, Crisis Management, Data, Data Integrity, Data Interpretation, Evidence-based Leadership, Evidence-Based Plan, Evidence-Based Policy, False Narrative, Fear, Freedom, Infection Control, Infection Control Plan, Infectious Virus, Mortality, Pandemic, Public Good, Public Health, Public Safety, Quarantine, Social Distancing, Trust, Truth • Leave a comment

America has to be ready for mail voting to avert an election crisis

States Should Embrace Vote by Mail and Early Voting To Protect ...

Valid concerns have been raised about mail voting. In New York, the local election boards have taken weeks to count primary ballots received in the mail as a result of the coronavirus, leaving several races for Congress still unresolved. The problems have been blamed on the late decision to send out the absentee ballot applications, outdated ballot counting machines, and the sheer number of mail ballots. The New York case raises a serious alarm with the 2020 election approaching and many states considering more reliance on mail voting in the midst of the pandemic.

Adding to this sense of urgency, President Trump has declared, without evidence, that mail voting is an open invitation to fraud and will be used unfairly against him this fall. He has tweeted that mail voting would make this the “most rigged” election in history. Setting aside the fact that states have relied on absentee and mail voting to hold secure elections for many years, the stumbles in New York and the irresponsible fear mongering by Trump raise the potential of a very real crisis come this fall.

Consider the national disruption surrounding the 2000 election, which was decided for George Bush after a recount in Florida, a month of legal battles, and a controversial split Supreme Court decision. After you add the factor of a second wave of coronavirus cases in the fall and a sitting president shouting “rigged!” to the rafters, and you can understand why some analysts worry that the period following the 2020 election may be one of the most disruptive contests in our modern history.

A crisis foretold, however, can be a crisis averted. Instead of wringing our hands over the recent problems with mail voting in New York, we have to learn from them and from the multiple states that have implemented mail voting systems without problems or fraud. Then states can make common sense preparations to ensure the process goes as quickly and smoothly as possible to prevent a potential election crisis in November.

The fact that election boards were overwhelmed by an influx of absentee ballots in New York must be the rallying cry for dedicating more resources to efficiently implement mail voting systems. Reducing funds available for mail voting initiatives, as some Trump supporters have advocated, in this era when many people have to rely on these ballots or literally risk death, will only serve to suppress voting, which may be the point.

Consider the case of Ohio for a glimpse of what a proactive mail voting initiative looks like. At the urging of Governor Mike DeWine, Republican and Democratic lawmakers unanimously approved their all mail voting primary that was successfully concluded in April. Governors and state legislatures across the country have to learn from Ohio, and additional federal funds have to be made available to assist the efforts.

All those claims that mail ballots are subject to rampant tampering is not evidence that they are, and it suggests the need to educate voters on the issue. Members of the Armed Forces have relied on absentee voting with mail ballots since the Civil War. Trump himself has voted absentee by mail. Meanwhile, three states allow ounties to conduct elections completely by mail if they choose, five other states conduct elections almost entirely by mail, and more than two dozen other states permit their residents to cast absentee ballots by mail without having to provide a reason.

Over 250 million votes have been cast using mailed ballots since 2000, according to the Vote at Home Institute, and yet exhaustive analysis has identified only a tiny fraction of cases of fraud. None of those states that hold their elections almost entirely by mail has seen voter fraud scandals. The bipartisan group Vote Safe, chaired by former Governor Tom Ridge of Pennsylvania and former Governor Jennifer Granholm of Michigan, notes that several studies have consistently proven that mail ballots are secure and do not advantage one political party over the other. The team rightly emphasizes that the goal of ensuring the safety of voters as they exercise their rights during a raging pandemic is not a partisan issue.

Whether we improve our voting systems or defund them, the use of mail ballots will inevitably be much greater in the 2020 election than in years past. We can prepare for this eventuality and find innovative ways to deal with the challenges that arise, or we can shift our gaze from another crisis foretold and suffer the major consequences come November.

Winston Churchill Quotes About Democracy. QuotesGram

Winston Churchill noted that democracy is the worst form of government, except for all other forms that have been tried. In the midst of a pandemic across the country that has already claimed the lives of tens of thousands of Americans, exercising our right to vote by mail instead of in person may also seem like the worst solution, except for all other options.

 

 

 

 

Cartoon – Pandemic Management

Posted on by • Posted in 2020 Election Issues, Cartoon, Coronavirus, Crisis, Crisis Management, Data Analytics, Data Governance, Data Integrity, Data Interpretation, Data Management, Economic Crisis, Economic Recovery, Economy Reopening, Evidence-based Leadership, Evidence-Based Plan, Evidence-Based Policy, Leadership, Pandemic, State of the Union, Uncertainty • Leave a comment

Reflections on an Ad Industry at War With Itself | MediaVillage

How deadly is COVID-19? A biostatistician explores the question

Posted on by • Posted in 2020 Election Issues, Centers for Disease Control & Prevention (CDC), Coronavirus, Crisis, Crisis Management, Data Analytics, Data Control, Data Governance, Data Integrity, Data Interpretation, Data Management, Disease Surveillance, Evidence-based Leadership, Evidence-Based Plan, Evidence-Based Policy, Leadership Decentralized, Mortality, National Strategy, Pandemic, Public Health, Public Safety, Quarantine, Scientists, Social Distancing • Leave a comment

https://theconversation.com/how-deadly-is-covid-19-a-biostatistician-explores-the-question-142253?utm_medium=email&utm_campaign=The%20Weekend%20Conversation%20-%201680716207&utm_content=The%20Weekend%20Conversation%20-%201680716207+Version+A+CID_c211e1b0b6c4b69b3a29a9d1624a2ab6&utm_source=campaign_monitor_us&utm_term=How%20deadly%20is%20COVID-19%20A%20biostatistician%20explores%20the%20question

How deadly is COVID-19? A biostatistician explores the question

The latest statistics, as of July 10, show COVID-19-related deaths in U.S. are just under 1,000 per day nationally, which is down from a peak average of about 2,000 deaths per day in April. However, cases are once again rising very substantially, which is worrisome as it may indicate that substantial increases in COVID-19 deaths could follow. How do these numbers compare to deaths of other causes? Ron Fricker, statistician and disease surveillance expert from Virginia Tech, explains how to understand the magnitude of deaths from COVID-19.

As a disease surveillance expert, what are some of the tools you have to understand the deaths caused by a disease?

Disease surveillance is the process by which we try to understand the incidence and prevalence of diseases across the country, often with the particular goal of looking for increases in disease incidence. The challenge is separating signal from noise, by which I mean trying to discern an increase in disease incidence (the signal) from the day-to-day fluctuations in that disease (the noise). The hope is to identify any increase as quickly as possible so that medical and public health professionals can intervene and try to mitigate the disease’s effects on the population.

A critical tool in this effort is data. Often disease data is collected and aggregated by local and state public health departments and the Centers for Disease Control and Prevention from data that is reported by doctors and medical facilities. Surveillance systems then use this data and a variety of algorithms to attempt to find a signal amidst the noise.

Early on, many people pointed out that the flu has tens of thousands of deaths a year, and so COVID-19 didn’t seem so bad. What’s wrong with that comparison?

The CDC estimates the average number of flu-related deaths since 2010-11 is around 36,000 per year. This varies from a low of 12,000 deaths in 2011-12 to a high of 61,000 deaths in 2017-18. Thus, the number of COVID-19 deaths to date is three to four times greater than the annual average number of flu-related deaths over the past decade; it is 10 times larger when compared to the 2010-11 flu season but only about twice as large compared to 2017-18.

To make this a fair comparison, note that seasonal influenza mostly occurs over a few months, usually in late fall or early winter. So, the time periods are roughly comparable, with most of the COVID-19-related deaths occurring since late March. However, COVID-19 does not appear to be seasonal, and fatalities are a lagging measure because the time from infection to death is weeks if not months in duration, so the multiples in the previous paragraph will be greater by the end of the year.

Furthermore, while death rates have been coming down from a peak of more than 2,700 on April 21, 2020, the United States is now averaging just under 1,000 deaths per day as of July 10, and given the dramatic increase in cases of late, we should expect the fatality rate to further rise. For example, the University of Washington’s IHME model currently predicts slightly more than 208,000 COVID-19-related deaths by November 1.

So, by any comparison, the COVID-19 death rate is significantly higher than the seasonal influenza death rate.

What are some comparisons that could provide some context in understanding the scale of deaths caused by COVID-19?

As of this writing, more than 130,000 people have died of COVID-19, and that total could grow to 200,000 or more by fall. Those numbers are so big, they’re hard to grasp.

Michigan Stadium in Ann Arbor is the largest football stadium in the United States. It holds 107,420 people, so no football stadium in the country is large enough to hold everyone who has died from COVID-19 thus far. By the time bowl season comes along, assuming we have a football season this year, the number of COVID-19 fatalities will likely exceed the capacity of the Rose and Cotton bowl stadiums combined.

The state of Wyoming has a population of slightly less than 600,000 people, so it’s the equivalent of one out of every five people in that state dying in the last four months. By this fall, the COVID-19 death total will be the equivalent of fully one-third of the people in Wyoming dying.

The populations of Grand Rapids, Michigan; Huntsville, Alabama; and Salt Lake City, Utah are each just over 200,000 people. Imagine if everyone in one of those cities died over the course of six months. That’s what COVID-19 may look like by fall.

How do COVID-19 deaths compare to chronic diseases like cancer or heart disease?

Today, COVID-19 ranks as the sixth leading cause of death in the United States, following heart disease, cancer, accidents, lower chronic respiratory diseases and stroke. Heart disease is the leading cause, with just over 647,000 Americans dying from it each year. Alzheimer’s disease, formerly the sixth largest cause of death, kills just over 121,000 people per year. If the University of Washington IHME model’s current prediction of COVID-19-related deaths comes to pass, COVID-19 will be the third leading cause of death in the United States by the end of the year.

The American Cancer Society estimates that in 2020 there will be an estimated 1.8 million new cancer cases diagnosed and 606,520 cancer deaths in the United States. Lung cancer is estimated to kill about 135,000 people in the US in 2020, so the number of COVID-19 deaths is currently equivalent and will exceed it soon. Of course, it is important to note that the COVID-19 deaths have occurred in about the past four months while the number of lung cancer deaths is for a year. So, COVID-19 deaths are occurring at roughly three times the rate of lung cancer deaths.

What are some historical comparisons that you think are useful in understanding the scale of deaths from COVID-19?

The 1918 influenza pandemic was similar in some ways to the current pandemic and different in other ways. One key difference is the age distribution of deaths, where COVID-19 is concentrated among older adults while the the 1918 pandemic affected all ages. In my state of Virginia, only 8% of the people who died in the 1918 pandemic were more than 50 years old, compared to more than 97% for COVID-19.

The CDC estimates that the 1918 pandemic resulted in about 675,000 deaths in the United States, so slightly more than five times the current number of COVID-19 deaths. In October of 1918, the worst month for the influenza pandemic, about 195,000 people died – well more than all who have died so far from COVID-19.

As with any historical comparison, there are important qualifiers. In this case, the influenza pandemic started in early 1918 and continued well into 1919, whereas COVID-19 deaths are for about one-third of a year (March through June). However, today the United States’ population is about three times the size of the population in 1918. These two factors roughly “cancel out,” and so it is reasonable to think about the 1918 epidemic being about five times worse than COVID-19, at least thus far.

In comparison to past wars, the U.S. has now had more deaths from COVID-19 than all the combat-related deaths in all the wars since the Korean War, including the Vietnam War and Operations Desert Shield and Desert Storm. In World War II there were 291,557 combat casualties. So the number of people who have died from COVID-19 thus far is about 45% of the WWII combat casualties. By the fall, it could be more than 70%.

Finally, note that the number of confirmed and probable deaths from COVID-19 in New York City (23,247 on July 10, 2020) is more than eight times the number who died in the 9/11 attack (2,753).

 

 

 

 

Tracking Our COVID-19 Response. Each state’s progress towards a new normal.

Posted on by • Posted in Coronavirus, Data, Data Analytics, Data Governance, Data Interpretation, Data Management, Data Ownership, Evidence-based Leadership, Evidence-Based Plan, Evidence-Based Policy, Infection Control, Infection Control Plan, Infectious Virus, Mortality, National Strategy, Pandemic, Public Good, Public Health, Public Safety, Quarantine, Social Distancing • Leave a comment

https://www.covidexitstrategy.org/

July 10 – Updated Color Scale
As a country we’ve reached a record number of cases. We’ve added a new color to the scale: “Bruised Red”. There were extremes that were not captured in our original scale. Our scale also has been adjusted to put more weight on “new cases per million” and “positivity”.
July 15 – ICU and Bed Occupancy – Not Publicly Reported by CDC Anymore
Unfortunately our data source for ICUs and beds has been removed by the CDC. Our hope is this loss of critical public health information is temporary. HHS is instituting a new process for collecting information from hospitals. The aggregate data from that system should be made public.

 

 

 

Covid-19 data is a public good. The US government must start treating it like one.

Posted on by • Posted in 2020 Election Issues, Asymptomatic Transmission, Centers for Disease Control & Prevention (CDC), Clinical Testing, Contact Tracing, Coronavirus, Crisis, Crisis Management, Data Control, Data Governance, Data Integrity, Data Interpretation, Data Management, Data Quality, Distrust, Economic Crisis, Economy Reopening, Infection Control, Infection Control Plan, Infectious Virus, Misinformation, Misinterpret, Mislead, Misleading, Mistake, Mistrust, Mixed Message, Mortality, National Strategy, Pandemic, Partisanship, Public Good, Public Health, Public Safety, Public Trust, Quarantine, Social Distancing, Transparency, Trust, Truth • Leave a comment

https://www.technologyreview.com/2020/07/17/1005391/covid-coronavirus-hospitalizations-data-access-cdc/

Data for the public good - O'Reilly Radar

The US has failed to prioritize a highly effective and economical intervention—providing quick and easy access to coronavirus data.

Earlier this week as a pandemic raged across the United States, residents were cut off from the only publicly available source of aggregated data on the nation’s intensive care and hospital bed capacity. When the Trump administration stripped the Centers for Disease Control and Prevention (CDC) of control over coronavirus data, it also took that information away from the public.

 

I run a nonpartisan project called covidexitstrategy.org, which tracks how well states are fighting this virus. Our team is made up of public health and crisis experts with previous experience in the Trump and Obama administrations. We grade states on such critical measures as disease spread, hospital load, and the robustness of their testing. 

 

Why does this work matter? In a crisis, data informs good decision-making. Along with businesses, federal, state, and local public health officials and other agencies rely on us to help them decide which interventions to deploy and when workplaces and public spaces can safely reopen. Almost a million people have used our dashboards, with thousands coming back more than 200 times each.

To create our dashboards, we rely on multiple sources. One is the National Healthcare Safety Network (NHSN), run by the CDC. Prior to July 14, hospitals reported the utilization and availability of intensive care and inpatient beds to the NHSN. This information, updated three times a week, was the only publicly available source of aggregated state-level hospital capacity data in the US.

With 31 states currently reporting increases in the number of hospitalized covid-19 patients, these utilization rates show how well their health systems will handle the surge of cases.

 

Having this information in real time is essential; the administration said the CDC’s system was insufficiently responsive and data collection needed to be streamlined. The US Department of Health and Human Services (HHS) directed hospitals (pdf) to report their data to a new system called HHS Protect.

Unfortunately, by redirecting hospitals to a new system, it left everyone else in the dark. On July 14, the CDC removed the most recent data from its website. As we made our nightly update, we found it was missing. After significant public pressure, the existing maps and data are back—but the agency has added a disclaimer that the data will not be updated going forward.

 

This is unacceptable. This critical indicator was being shared multiple times a week, and now updates have been halted. US residents need a federal commitment that this data will continue to be refreshed and shared.

The public is being told that a lot of effort is going into the new system. An HHS spokesman told CNBC that the new database will deliver “more powerful insights” on the coronavirus. But the switch has rightly been criticized because this new data source is not yet available to the public. Our concerns are amplified by the fact that responsibility for the data has shifted from a known entity in the CDC to a new, as-yet-unnamed team within HHS.

I was part of the team that helped fix Healthcare.gov after the failed launch in 2013. One thing I learned was that the people who make their careers in the federal government—and especially those working at the center of a crisis—are almost universally well intentioned. They seek to do the right thing for the public they serve.

 

In the same spirit, and to build trust with the American people, this is an opportunity for HHS to make the same data it’s sharing with federal and state agencies available to the public. The system that HHS is using helps inform the vital work of the White House Coronavirus Task Force. From leaked documents, we know that reports for the task force are painstakingly detailed. They include county-level maps, indicators on testing robustness, and specific recommendations. All of this information belongs in the public domain.

This is also an opportunity for HHS to make this data machine readable and thereby more accessible to data scientists and data journalists. The Open Government Data Act, signed into law by President Trump, treats data as a strategic asset and makes it open by default. This act builds upon the Open Data Executive Order, which recognized that the data sets collected by the government are paid for by taxpayers and must be made available to them. 

As a country, the United States has lagged behind in so many dimensions of response to this crisis, from the availability of PPE to testing to statewide mask orders. Its treatment of data has lagged as well. On March 7, as this crisis was unfolding, there was no national testing data. Alexis Madrigal, Jeff Hammerbacher, and a group of volunteers started the COVID Tracking Project to aggregate coronavirus information from all 50 state websites into a single Google spreadsheet. For two months, until the CDC began to share data through its own dashboard, this volunteer project was the sole national public source of information on cases and testing.

With more than 150 volunteers contributing to the effort, the COVID Tracking Project sets the bar for how to treat data as an asset. I serve on the advisory board and am awed by what this group has accomplished. With daily updates, an API, and multiple download formats, they’ve made their data extraordinarily useful. Where the CDC’s data is cited 30 times in Google Scholar and approximately 10,000 times in Google search results, the COVID Tracking Project data is cited 299 times in Google Scholar and roughly 2 million times in Google search results.

 

Sharing reliable data is one of the most economical and effective interventions the United States has to confront this pandemic. With the Coronavirus Task Force daily briefings a thing of the past, it’s more necessary than ever for all covid-related data to be shared with the public. The effort required to defeat the pandemic is not just a federal response. It is a federal, state, local, and community response. Everyone needs to work from the same trusted source of facts about the situation on the ground.

Data is not a partisan affair or a bureaucratic preserve. It is a public trust—and a public resource.

 

 

 

 

U.S. blows past coronavirus record with more than 70,000 new cases in one day

Posted on by • Posted in 2020 Election Issues, Centers for Disease Control & Prevention (CDC), Clinical Testing, Contact Tracing, Coronavirus, Crisis, Crisis Management, Data Governance, Data Integrity, Data Interpretation, Data Ownership, Economic Crisis, Economy Reopening, False Hope, False Narrative, Infection Control, Infection Control Plan, Infectious Virus, Leadership Decentralized, Misinformation, Mislead, Misleading, Mixed Message, Mortality, National Strategy, Pandemic, Partisanship, Personal Protective Equipment (PPE), Public Health, Public Safety, Quarantine, Scientists, Social Distancing, Trust, Truth, Wishful Thinking • Leave a comment

https://www.washingtonpost.com/nation/2020/07/17/coronavirus-live-updates-us/?utm_campaign=wp_post_most&utm_medium=email&utm_source=newsletter&wpisrc=nl_most

FirstFT: Today's top stories | Financial Times

There was a time in the United States when 40,000 coronavirus cases in a day seemed like an alarming milestone. That was less than three weeks ago.

Now, the number of new infections reported each day is reaching dizzying new heights. On Thursday, the daily U.S. caseload topped 70,000 for the first time, according to data tracked by The Washington Post.

Record numbers of covid-19 fatalities were reported in Florida, Texas and South Carolina on Thursday, and officials throughout the Sun Belt are worried that hospitals could soon reach a breaking point.

Here are some significant developments:

  • Masks are now mandatory in more than half of U.S. states — with the governors of Arkansas and Colorado the latest to issue face-covering orders. Major retailers phased in new mask policies, and Maryland Gov. Larry Hogan (R), chairman of the National Governors Association, said that masks should be mandated in states across the country.
  • Larry Fink, the chief executive of investment firm BlackRock, said that if states moving forward with reopening plans required masks, the economy would recover much sooner.
  • Atlanta Mayor Keisha Lance Bottoms (D) blasted Georgia’s Republican governor, Brian Kemp (R), for suing to stop block her city’s mask ordinance, accusing him of “putting politics over people.”
  • An unpublished report from the White House Coronavirus Task Force suggests that nearly 20 hard-hit states should enact tougher public health measures.
  • Real-time coronavirus tracking data temporarily disappeared from the Centers for Disease Control and Prevention’s website, sparking an outcry.
  • President Trump faces rising disapproval and widespread distrust on coronavirus, according to a new Post-ABC poll.
  • India on Friday surpassed 1 million confirmed coronavirus cases, becoming the third country to cross that threshold, behind the United States and Brazil..

 

 

 

 

Disappearance of covid-19 data from CDC website spurs outcry

Posted on by • Posted in 2020 Election Issues, American Medical Association (AMA), Centers for Disease Control & Prevention (CDC), Clinical Testing, Contact Tracing, Coronavirus, Crisis, Crisis Management, Data Governance, Data Integrity, Data Interpretation, Data Management, Data Ownership, Data Privacy, Health System, Hospital, Hospital Industry, Transparency, Trust • Leave a comment

https://www.washingtonpost.com/health/2020/07/16/coronavirus-hospitalization-data-outcry/?utm_campaign=wp_main&utm_medium=social&utm_source=facebook&fbclid=IwAR2ONMOtMxy2LFUw0qKhDZwb1n5yFRv2oCTZlrr49_YpdO8WTzkSC90JjY0

Disappearance of covid-19 data from CDC website spurs outcry ...

Governors join calls for delay of administration plan to shift control from the CDC as Trump administration pledges to make data available to the public.

On the eve of a new coronavirus reporting system this week, data disappeared from a Centers for Disease Control and Prevention website as hospitals began filing information to a private contractor or their states instead. A day later, an outcry — including from other federal health officials — prompted the Trump administration to reinstate that dashboard and another daily CDC report on the pandemic.

And on Thursday, the nation’s governors joined the chorus of objections over the abruptness of the change to the reporting protocols for hospitals, asking the administration to delay the shift for 30 days. In a statement, the National Governors Association said hospitals need the time to learn a new system, as they continue to deal with this pandemic.

The governors also urged the administration to keep the information publicly available.

The disappearance of the real-time data from the CDC dashboard, which was taken down Tuesday night before resurfacing Thursday morning, was a ripple effect of the administration’s new hospital reporting protocol that took effect Wednesday, according to a federal health official who spoke on the condition of anonymity to discuss internal deliberations.

Without receiving the data firsthand, CDC officials were reluctant to maintain the dashboard — which shows the number of patients with covid-19, the disease caused by the virus, and hospital bed capacity — and took it down, the federal health official said. The CDC dashboard states that its information comes directly from hospitals and does not include data submitted to “other entities contracted by or within the federal government.” It also says the dashboard will not be updated after July 14.

The dashboard “was taken down in a fit of pique,” said Michael R. Caputo, the assistant secretary for public affairs at the Department of Health and Human Services. “The idea CDC scientists cannot rely upon their colleagues in the same department for data collection, or any other scientific work, is preposterous.”

This week, the CDC, the government’s premier public health agency whose medical epidemiologists analyze the hospital data, also stopped producing reports about trends in the pandemic that had gone twice a week to states, and six days a week to officials at multiple federal agencies. Adm. Brett Giroir, an assistant secretary in the HHS who oversees coronavirus testing, was unhappy that the CDC hospital report stopped Wednesday and Thursday mornings, according to the federal health official.

Caputo said that the administration’s goal is to maintain transparency, adding that conversations were still taking place between HHS officials and the CDC on a plan to keep producing the dashboard updates and the reports. “We expect a resolution,” he said.

Another HHS spokesperson said the CDC might create a new dashboard, based on a wider set of information.

During a conference call for journalists Thursday on coronavirus testing, Giroir did not acknowledge his displeasure with the reports’ discontinuation. But he said: “Those data are really critical to all of us. … I wake up in the morning and first thing I do, I look at the data. I look at midday. I look at it at night before I go to bed. … We drive the response based on that.”

The CDC site had been one of the few public sources of granular information about hospitalizations and ICU bed capacity. About 3,000 hospitals, or about 60 percent of U.S. hospitals, reported their data to the CDC’s system.

The president of the American Medical Association, Susan R. Bailey, spoke out Thursday on the uncertainties about access to data. “[W]e urge and expect that the scientists at the CDC will continue to have timely, comprehensive access to data critical to inform response efforts,” she said.

Governors, hospital officials and state health officers were given scant notice of the change in the reporting system. Two top administration health officials said in a letter to governors early this week that some hospitals were not complying with the previous protocols, suggesting that states might want to consider bringing in the National Guard to help gather the information. Hospital industry leaders vehemently protested that characterization, as well as the idea that they should be assisted by the National Guard in the midst of a pandemic.

HHS and CDC officials have said the protocol was changed to streamline reporting of data that is used, among other things, to determine the federal allocation of therapeutics, testing supplies and protective gear. Instead of reporting to the long-standing CDC system, hospitals must send data about covid-19 patients and other metrics to a recently hired federal contractor, called TeleTracking, or to their state health departments.

At least some state health departments that have been collecting data for their hospitals and sending it to Washington have already said the switch will make it impossible for them to continue, at least for now. The changed protocol includes a requirement that hospitals send several additional types of data that some state systems are not equipped to handle, state health officials said.

The Pennsylvania Department of Health sent a notice to hospitals Tuesday night saying that its platform was not ready to accommodate the new federal requirements, so that hospitals needed to report every day to both the state and to TeleTracking.

Charles L. Gischlar, spokesman for the Maryland Department of Health, said the reporting change “is a heavy lift for hospitals.”

The new system “exceeds the capacity of the current statewide system” to which hospitals had been reporting, he said, so the state no longer can send consolidated information to the federal government. As a result, he said in a statement, hospitals must provide data individually to the government.

 

 

 

 

Unpublished White House Coronavirus Task Force Report – 18 States in Red Zone

Posted on by • Posted in 2020 Election Issues, Clinical Testing, Coronavirus, Crisis, Crisis Management, Data Control, Data Interpretation, Data Management, Data Ownership, Economic Crisis, Economy Reopening, Evidence-based Leadership, Evidence-Based Plan, Evidence-Based Policy, False Hope, False Narrative, Leadership Decentralized, Leadership Intent, Leadership Trust, Mislead, Misleading, Mixed Message, Pandemic, Personal Protective Equipment (PPE), Public Health, Public Safety, Transparency, Trust, Truth • Leave a comment

https://mailchi.mp/publicintegrity/exclusive-white-house-docs-shows-18-states-in-coronavirus-red-zone?e=4539e77864

An unpublished document prepared for the White House Coronavirus Task Force and obtained by the Center for Public Integrity suggests more than a dozen states should revert to more stringent protective measures, limiting social gatherings to 10 people or fewer, closing bars and gyms and asking residents to wear masks at all times.

The document, dated July 14, says 18 states are in the “red zone” for COVID-19 cases, meaning they had more than 100 new cases per 100,000 population last week. Eleven states are in the “red zone” for test positivity, meaning more than 10 percent of diagnostic test results came back positive. 

It includes county-level data and reflects the insistence of the Trump administration that states and counties should take the lead in responding to the coronavirus. The document has been shared within the federal government but does not appear to be posted publicly.

It’s clear some states are not following the task force’s advice. For instance, the document recommends that Georgia, in the red zone for both cases and test positivity, “mandate statewide wearing of cloth face coverings outside the home.” But Gov. Brian Kemp signed an order Wednesday banning localities from requiring masks.