If COVID Fatalities Were 90.2% Lower, How Would You Feel About Schools Reopening?

Jul 25, 2020 by

7.24.20 – Children’s Health Defense – Founder, Robert F. Kennedy, Jr.

“If COVID Fatalities Were 90.2% Lower, How Would You Feel About Schools Reopening?”

By H. Ealy, M. McEvoy, M. Sava, S. Gupta, D. Chong, D. White, J. Nowicki, P. Anderson

[COMMENTS FROM DONNA GARNER:  I believe this is the best and most recent, comprehensive, substantive, clearly written, research-based, and fully documented report from credible medical/scientific sources that has been published on COVID-19.  All of us should utilize this report to its fullest.

For any and all who are believing the COVID-19 mass hysteria that is (1) shutting down our country, (2) making parents afraid to send their children to school, (3) keeping teachers locked in fear of catching COVID from students, (4) destroying businesses, (5) devastating people’s finances, (6) turning churches/synagogues into empty buildings, (7) putting athletes into quarantine, (8) shutting down sports teams at all levels, (9) ruining fine arts venues, (10) creating disasters with people’s mental health, (11) elevating child abuse (12) demoralizing the future opportunities for our nation’s youth, (13) damaging America’s financial stability and (14) turning America’s healthcare system upside down, THIS REPORT IS FOR ALL OF US. 

The next time we are confronted with any of the mandates by authorities who have been captured by the COVID misinformation coming out from the public health hierarchy, we need to give these authorities this report and dare them to disprove it! 

If they cannot disprove it, then we need to ask them, “Why are you continuing to be led around by those who are fomenting this COVID misinformation?  In doing so, you are becoming a part of the problem instead of the solution. You say we are ‘to follow the medical science,’ then let’s do it as presented in this report.”

Below are excerpts from the Children’s Health Defense report, but the entire report needs to be read and shared widely throughout our nation.]  


“If COVID Fatalities Were 90.2% Lower, How Would You Feel About Schools Reopening?”

Key Findings For Data Through July 12th

·         According to the CDC, 101 children age 0 to 14 have died from influenza, while 31 children have died from COVID-19.

·         No evidence exists to support the theory that children pose a threat to educational professionals in a school or classroom setting, but there is a great deal of evidence to support the safety of in-person education.

·         According to the CDC, 131,332 Americans have died from pneumonia and 121,374 from COVID-19 as of July 11th, 2020.

·         Had the CDC used its industry standard, Medical Examiners’ and Coroners’ Handbook on Death Registration and Fetal Death Reporting Revision 2003, as it has for all other causes of death for the last 17 years, the COVID-19 fatality count would be approximately 90.2% lower than it currently is.


The CDC has instructed hospitals, medical examiners, coroners and physicians to collect and report COVID-19 data by significantly different standards than all other infectious diseases and causes of death.

These new and unnecessary guidelines were instituted by the CDC in private, and without open discussion among qualified professionals that are free from conflicts of interest.

These new and unnecessary guidelines were additionally instituted despite the existence of effective rules for data collection and reporting, successfully used by all hospitals, medical examiners, coroners, and physicians for more than 17 years.

As a result, elected officials have enacted many questionable policies that have injured our country’s economy, our country’s educational system, our country’s mental and emotional health, and the American citizen’s personal expression of Constitutionally-protected rights to participate in our own governance.

This paper will present significant evidence to support the position that if the CDC simply employed their 2003 industry standard for data collection and reporting, which has been successfully used nationwide for 17 years; the total fatalities attributed to COVID-19 would be reduced by an estimated 90.2%, and questions would be non-existent regarding schools reopening and whether or not Americans should be allowed to work.

… It is very possible that state health departments have been instructed by the CDC to over-count COVID fatalities, cases, and hospitalizations

Is It Safe for Students & Teachers to Return to School?

While the current question gripping the nation is, ‘Should schools reopen in the fall?’ The crucial data available through the CDC, but not being actively promoted by the CDC, asks a different question, ‘Should schools have ever closed in the first place?’

According to the CDC’s Provisional COVID-19 Death Counts By Sex, Age & State, we know the following data from Feb 1, 2020 through July 11th, 2020.1

·         Three times as many children in the 0 to 14 age demographic have died from influenza (101) compared to COVID-19 (31).

·         In the 0 to 14 age demographic, there have been 11,158 reported fatalities from all causes.

·         Thus, COVID-19 fatalities in the 0 to 14 age demographic make up a very small 0.0278% of all fatalities.

There is more data when looking at the 15 to 24 age demographic.

·         2% more teens and college age young adults, in the 15 to 24 age demographic, have died from pneumonia (267) compared to COVID-19 (157).

·         In the 15 to 24 age demographic, there have been 13,721 reported fatalities from all causes.

·         Thus, COVID-19 fatalities in the 15 to 24 age demographic make up only 1.14% of all fatalities.

We would not consider closing in-person educational institutions for typical seasonal flu or pneumonia fatalities, so why did we close them when COVID-19 numbers are even lower?

Some have argued for concern and caution in the 25 to 54 age demographic, which makes logical sense, so let’s look again at the current data available.

·         More work force age adults, in the 25 to 54 age demographic, have died from pneumonia (9,268) compared to COVID-19 (9,034).

·         In the 25 to 54 age demographic, there have been 146,663 reported fatalities from all causes.

·         Thus, COVID-19 fatalities in the 25 to 54 age demographic make up 6.16% of all fatalities. The risk of fatality for COVID-19 is on par with the risk of fatality associated with contracting pneumonia, 6.32% in this age demographic.

As encouraging as this data is, we have concerns regarding data collection and reporting that we will discuss below that potentially lowers current fatality counts by 90.2%. It is very possible that state health departments have been instructed by the CDC to over-count COVID fatalities, cases, and hospitalizations, and we will present that evidence shortly.

… there is no more significant risk of fatality from contracting the SARS-CoV-2 virus than there is for developing pneumonia for teens & young adults.

…Risk of fatality increases substantially for Americans over age 50 with at least 1 of the following comorbidities:

Hypertension, Diabetes, Elevated Cholesterol, Kidney Disease, Dementia, Heart Disease. For perspective, according to the CDC, is the risk of dying from pneumonia higher than the risk of dying from COVID-19 in the 55 to 64 age demographic?

·         Pre-retirement adults, in the 55 to 64 age demographic, had a slightly higher chance of dying from pneumonia (16,469) compared to COVID-19 (14,963).

·         In the 55 to 64 age demographic, there have been 178,884 reported fatalities from all causes.

·         Since February 1st, fatalities in the 55 to 64 age demographic had a 12% greater risk of dying from pneumonia than COVID-19. COVID-19 fatalities in the 55 to 64 age demographic make up 8.21% of all fatalities and the risk of fatality due to COVID-19 is on par with the risk of fatality associated with contracting pneumonia, 9.21%.

there is no more significant risk of fatality from contracting the SARS-CoV-2 virus than from contracting influenza for children & teens. It also reveals that there is no more significant risk of fatality from contracting the SARS-CoV-2 virus than there is for developing pneumonia for teens & young adults.

We would not consider prohibiting in-person education when presented with infection rates and medical conditions at these rates, so why are we considering doing it for an infection that poses even less of a risk?

What this data reveals for adults working with children, teens, and young adults is that COVID-19 has a lower risk of fatality than pneumonia

Should each school district give parents and professionals options for in-person education, hybrid education, and/or online education this fall?

Should parents and professionals be allowed to decide where their comfort level is, and act accordingly given the data presented?

Or, should in-person students and professionals be forced to adhere to guidelines from the CDC that not only compromise the educational experience, but also place undue, unrealistic burdens upon them for something with a lower risk than pneumonia for all and influenza for the 0 to 14 age demographic?

…More Scientific Evidence that It’s Safe for Children to Go Back to School

A genetic project in Iceland revealed interesting findings about children infecting adults.

“Children under 10 are less likely to get infected than adults and if they get infected, they are less likely to get seriously ill. What is interesting is that even if children do get infected, they are less likely to transmit the disease to others than adults. We have not found a single instance of a child infecting parents.”2


Sweden kept schools open with no demonstrative adverse impact upon children in school settings compared to Finland that elected to close in-person education.

“Sweden’s decision to keep schools open during the pandemic resulted in no higher rate of infection among its schoolchildren than in neighboring Finland, where schools did temporarily close, their public health agencies said in a joint report…In conclusion, (the) closure or not of schools had no measurable direct impact on the number of laboratory confirmed cases in school-aged children in Finland or Sweden.” 3


A German study found that children are unlikely vectors of COVID-19.

“Prof Reinhard Berner, the head of pediatric medicine at Dresden University Hospital and leader of the study, said the results suggested the virus does not spread easily in schools. “It is rather the opposite,” Prof Berner told a press conference. “Children act more as a brake on infection. Not every infection that reaches them is passed on.” The study tested 2,045 children and teachers at 13 schools — including some where there have been cases of the virus.” 4


No evidence of children infecting teachers in Australia.

“Our investigation found no evidence of children infecting teachers…In contrast to influenza, data from both virus and antibody testing to date suggest that children are not the primary drivers of COVID-19 spread in schools or in the community.” 5


Infected children do not spread the virus to other children, teachers or administrators.

“The main new finding is that the infected children did not spread the virus to other children or to teachers or other school staff…there was no secondary transmission of the virus to other children at the school, or from children to teachers.” 7


After all, based upon the July 11th data from the CDC’s Provisional COVID-19 Death Counts by Sex, Age & State webpage, if COVID-19 is an epidemic (122,374 Fatalities), then shouldn’t pneumonia (131,372 Fatalities) also be an epidemic?

Why Did the CDC Decide to Create Unique Reporting Rules for COVID-19 When Successful Reporting Rules Already Existed?

A double standard exists for how COVID-19 data is collected and reported versus all other infectious diseases and causes of death. Let’s examine three essential data categories; Fatalities, Cases & Hospitalizations for all infectious diseases because there are significant flaws in what constitutes a COVID-19 case, hospitalization and fatality.

On March 24th, the CDC decided to ignore universal data collection and reporting guidelines for fatalities in favor of adopting new guidelines unique to COVID-19. The guidelines the CDC decided against using have been used successfully since 2003.

After all, based upon the July 11th data from the CDC’s Provisional COVID-19 Death Counts by Sex, Age & State webpage, if COVID-19 is an epidemic (122,374 Fatalities), then shouldn’t pneumonia (131,372 Fatalities) also be an epidemic?1

Fatality Data

It is important to note that COVID-19 data is collected and reported by a much different standard than all other infectious diseases and causes of death data. This unique standard for COVID-19 was used, despite the existence of guidelines that have been successfully used since 2003 for data collection across all infective, comorbid, and injurious situations.

… the rules for coding and selection of the underlying cause of death are expected to result in COVID19 being the underlying cause more often than not.

This begs the question, if the CDC already has well established guidelines for reporting fatalities then why make up new guidelines for COVID-19?

COVID-19 data is collected and reported based upon the March 24th National Vital Statistics Systems (NVSS) Guidelines and the April 14th CDC adoption of a position paper authored by the Council of State and Territorial Epidemiologists (CSTE). 8,9

However, the data for all other causes of death is based upon the 2003 CDC’s Medical Examiners’ & Coroners’ Handbook on Death Registration and Fetal Death Reporting and the CDC’s Physicians’ Handbook on Medical Certification of Death. 10,11

It’s worth noting that Part I of a death certificate is the immediate cause of death listed in sequential order from the official cause on line item (a) to the underlying causes that contributed to death in descending order of importance on line item (d), while Part II is/are the significant conditions NOT relating to the underlying cause(s) in Part I.

Prior to the March 24th and April 14th decisions, any comorbidities would have been listed in Part I rather than Part II and initiating factors, like recent infections, would have been listed on the last line in Part I or in Part II.

Why does this matter?

This matters because the Part I causes of death are statistically recorded for public health reporting, while Part II does not hold nearly the same statistical significance in reporting. This March 24th NVSS guideline essentially allows COVID-19 to be the cause of death when the actual cause of death should be the comorbidity according to the industry-standard 2003 CDC Handbook. It can be a bit confusing, so we will present an example shortly for clarity.

…While the seemingly independent, CSTE position paper was authored by five accomplished professionals from the Idaho, Alabama, Michigan, Hawaii, and Iowa state health departments; 5 of the 7 Subject Matter Experts who contributed to the position paper were directly employed by the CDC which raises ethical concerns about conflicts of interest.

It stands to reason that each of the professionals who contributed to the CSTE position paper were aware of the existence of the 2003 guidelines for reporting fatalities. Additionally, no subject matter experts from universities, medical examiners, coroners or private industry appear to have been consulted on the production of this highly questionable document.

 So, why does all of this matter?

It matters for several reasons:

·         The minimum standards defy accepted professional standards for differential diagnosis in medical practice;

·         Section A3 empowers contact tracers, who are unlikely to have any medical training, to illegally diagnose patients without even examining them, which is a violation of medical law in every state and constitutes practicing medicine without a license;

·         The CSTE position paper opens the door for any fatality to be listed as COVID-19 without any reasonable standard of evidence, while mandating that comorbidities simultaneously be deemphasized and moved to Part II, so as not to appear as a cause of death;

·         Simultaneous testing for all other infectious diseases, with similar respiratory symptom profiles like Coccidioidomycosis for Valley Fever, is not required. We therefore have no clinical or statistical means of knowing if a co-infection was present along with a positive finding of the SARS-CoV-2 virus in the differential diagnosis process.

Why was all of this necessary with a successful methodology for physicians, medical examiners, and coroners already in place since 2003?

The CDC’s 2003 Handbook suggests that COVID-19 should be listed either at the bottom of Part I or in Part II of a death certificate, rather than as the top line item in Part I, despite Dr. Fauci’s describing in multiple press interviews, that medical examiners and coroners would not be doing this, which disregards any knowledge of the March 24th orders by the NVSS to do so.

The ability for medical examiners and coroners to register their best medical opinion was neutered by the March 24th NVSS guidelines.

Let’s review what would have happened had the CDC decided to use their 2003 Handbook rather than adopting new rules for COVID-19 reporting.

2003 – CDC Medical Examiners’ and Coroners’ Handbook on Death Registration

…“The cause-of-death section consists of two parts. Part I is for reporting a chain of events leading directly to death, with the immediate cause of death (the final disease, injury, or complication directly causing death) online (a) and the underlying cause of death (the disease or injury that initiated the chain of events [SARS-CoV-2 in this case] that led directly and inevitably to death) on the lowest used line. Part II is for reporting all other significant diseases, conditions, or injuries that contributed to death but which did not result in the underlying cause of death given in Part I.”

…“The cause-of-death information should be the medical examiner’s or coroner’s best medical OPINION. Report each disease, abnormality, in-jury, or poisoning that the medical examiner or coroner believe adversely affected the decedent.”

The ability for medical examiners and coroners to register their best medical opinion was neutered by the March 24th NVSS guidelines.

Based upon the 2003 CDC Handbook, Part I for COVID-19 fatalities should contain any comorbidities first. Under these guidelines, COVID-19 would only be listed as a cause of death in Part I if there were no comorbidities and therefore the fatality counts for COVID-19 would be much lower than they currently are.

Note that 90.2% of fatalities had at least 1 comorbidity and therefore these fatalities would not be counted as COVID-19 fatalities under the 2003 CDC Handbook

If each state were publishing comorbidity data, and if each state used the CDC’s 2003 Revision Handbook as they do for all other death certificates, the actual COVID-19 fatality totals would be approximately 90.2% LOWER than they currently are based upon an extrapolation of the data that is available.


Without the March 24th NVSS guidelines or the April 14th CSTE position paper adoption, COVID-19 would NOT be allowed to be listed on a death certificate at all WITHOUT A POSITIVE LAB TEST or confirmatory pathologic autopsy findings.

…If we have a person who died from renal failure due to type 1 diabetes mellitus, but in scenario 1 the initiating factor was the H1N1 influenza virus while in scenario 2 the initiating factor was the SARS-CoV-2 virus, how would that look?

these similar situations are reported dramatically different. As a result, the statistical reporting for fatalities will be dramatically different as well, for all people with known comorbidities, which makes up approximately 90.2% of all reported fatalities due to COVID-19 according to the US State Health Departments reporting this data.

 Why is all of this important?

The CDC knew in early March that the vast majority of fatalities would be in people over 60 with comorbidities according to Dr. Nancy Messonnier, director of the CDC’s National Center for Immunization and Respiratory Diseases and reported by CNBC on March 9th, 2020.6

Why would the CDC adopt new rules for reporting fatalities when they already had successful guidelines?

Was the CDC and Dr. Fauci, the head of the NIAID (a division of the NIH), aware of the potential implications that adopting these guidelines would create in terms of fatality reporting?

…Why does this matter for schools reopening?

The fatality data being reporting has clearly been inflated in multiple ways due to the adoption of recording and reporting rules that were unnecessary. As a result, this has greatly skewed public perception of this crisis, cost more than 50 million Americans their jobs, and created a tremendous amount of undue fear regarding the SARS-CoV-2 virus.

Even with the March 24th NVSS guidelines and the April 14th adoption of the CSTE position paper, COVID-19 has a lower risk of fatality than pneumonia in all age demographics and a lower risk of fatality than influenza in the 0 to 14 age demographic according to the CDC.

If the fatality data reporting guidelines inflate COVID-19 fatalities while holding all other causes of death to a different and higher standard, then why are we even considering forcing children to study from home?

So Why Are Cases & Hospitalizations Continuing to Rise?

It is important to understand the difference between SARS-CoV-2 and COVID-19. The scientific name of the new strain of coronavirus is SARS-CoV-2.  After much naming instability, the disease caused by this new strain is called Coronavirus Disease 2019 or COVID-19.

Thus, it is important to realize that once testing is done to determine whether a person is positive for SARS-CoV-2, the patient must then have symptoms consistent with COVID-19 before being counted as a COVID case.

Professional medical training and practice dictates that for a person to be diagnosed with an infection, they must have lab evidence of the infection AND symptoms to support the diagnosis.

This distinction is very important as a person can have detectable levels of the SARS-CoV-2 virus and NOT present with any symptoms. This is possible in the case of a person who had contracted the virus as much as 6 weeks prior, gone through natural adaptive immunity processes to defeat the infection, and now has harmless remnant proteins still present in their body.

For example, an individual may test positive for Human Immunodeficiency Virus (HIV) and not have AIDS. Similarly, an individual may test positive for SARS-CoV-2 and not have COVID-19.

In order for a case to be classified as COVID-19 there must be symptoms to support the diagnosis by a licensed professional. Lab testing alone and symptom evaluation alone violates accepted professional standards for differential diagnosis in medical practice.13

In addition to what is stated above, there are several factors to consider regarding why we are seeing increases in cases and hospitalizations in addition to what was stated above:

·         The dramatic increase in testing;

·         Contact Tracers diagnosing Americans as COVID-19 positive without examination, evidence, or even being required to speak to a patient as allowed for by the CDC’s April 14th adoption of the CSTE’s position paper;

·         June 13th CDC changes to hospital guidelines for testing in hospitals that creates the opportunity for the same patient being counted multiple times as a new case;

·         Confirmed & Probable COVID-19 hospitalized cases being counted as COVID-19 cases regardless of the reason for their admission into the hospital.

…Contact Tracers Can Diagnose Without Contact

During our investigation, one of the most concerning pieces of information our team has come across is the empowerment of Contact Tracers (CTs) to diagnose without medical training, medical licensure, medical examination, or even being required to make physical or verbal contact with the prospective patient as allowed for by the CDC’s April 14th adoption of the CSTE position paper [section VII.A3].9

The CDC followed up this dubious authorization with guidance issued on June 17th, 2020.14

“The development and implementation of a robust data management infrastructure will be critical for assigning and managing investigations, linking clients with confirmed and probable COVID-19 to their contacts, and evaluating success and opportunities for improvement in a case investigation and contact tracing program. COVID-19 case investigations will likely be triggered by one of three events:

1.     A positive SARS-CoV-2 laboratory test or

2.     A provider report of a confirmed or probable COVID-19 diagnosis or

3.     Identification of a contact as having COVID-19 through contact tracing

If testing is not available [or declined], symptomatic close contacts should be advised to self-isolate and be managed as a probable case. Self-isolation is recommended for people with probable or confirmed COVID-19 who have mild illness and are able to recover at home.”

What this reveals is that CTs are authorized to diagnose a New COVID-19 case without being medically trained or legally licensed to do so. Even more concerning is that CTs are empowered to do this without needing to examine or take a health history from a prospective patient.

If a person does not answer the call from a CT, then they are able to list that person as a Probable COVID-19 case and report their findings to their state health department for inclusion in reporting data.

This explains why Probable Cases have been rising daily since June 17th despite the dramatic increases in testing.15

Changes In Hospital Testing Protocols & The Inclusion Of COVID-19 Probable Hospitalizations

With the abundant availability of PCR molecular testing, most hospitals in the country have adopted the policy of testing all hospital admissions for the SARS-CoV-2 virus upon admission to the hospital regardless of why that person is being admitted.

People admitted for elective surgeries are required to be tested. People admitted for injuries or accidents are being tested. People in need of care for chronic comorbid conditions are being tested, and so forth.

If a person tests positive for presence of the SARS-CoV-2 virus, regardless of symptom presentation or reason for admission, they are now officially counted as a COVID-19 hospitalized case. This change in policy, never undertaken before, makes it now almost impossible to distinguish between people being admitted for COVID-19 symptoms and people being admitted who simply tested positive for SARS-CoV-2, but are being admitted for reasons other than COVID-19 symptomatology.

As a result, under this methodology of data categorization, hospital numbers have risen and will continue to rise until there are substantive changes to how data is being reported that allows everyone to clearly distinguish between the two vastly different new patient scenarios.

Even worse is the reality that an unacceptable percentage of hospital admissions are ‘Probable’ (‘Suspected’) and not lab confirmed.

This is exemplified in this graphic provided by the Massachusetts Department of Public Health on July 12th that shows roughly 70-80% of COVID-19 Hospital Admissions are not lab confirmed

These severe breakdowns in accurate, clear data collection and reporting were initiated by the CDC on March 24th, reinforced again in their adoption of the CSTE’s April 14th position paper, and then reinforced yet again with a June 13th update of hospital testing guidelines for the safe discharge of COVID-19 positive patients.16,17

Per the CDC June 13th Update:

“Recommended testing to determine resolution of infection with SARS-CoV-2

A test-based strategy, which requires serial tests and improvement of symptoms, can be used, as an alternative to a symptom-based or time-based strategy, to determine when a person with SARS-CoV-2 infection no longer requires isolation or work exclusion…

if a person is admitted to a hospital, they must be tested every 24 hours until they produce 2 consecutive negative PCR tests regardless of whether they have the serologic presence of antibodies or there is no serologic detection of the virus in the bloodstream.

Why is this important?

This is important because the PCR test has been reported to be inaccurate 50% of the time it is used according to Dr. Lee as reported in the International Journal of Geriatrics and Rehabilitation published on July 17th, 2020. In this study, up to 30% of PCR tests resulted in false positives and up to 20% resulted in false negatives, which means that PCR may only be accurate for detection 50% of the time it is used.18

Additionally, the mere presence of viral nucleic acids does not necessarily indicate active viral infection nor viral replication. Nucleic acid fragments from a viral entity may exist in patient tissues because of immunological destruction of the virus, which is supposed to happen and potentially occurred several weeks prior to specimen collection. What PCR testing may be discovering is not evidence of a current infection, but rather the remnants of a prior infection that the patient has already recovered from.


Clearly, we have to make significant changes to our case, hospitalization, and fatality definitions, data collection and reporting as a country, if the ultimate goal is accuracy in reporting for policy-level decision making in the best interests of all Americans.

Had the CDC used the well-established and successful methodology for recording COVID-19 related fatalities, as it does for all other causes of death, the fatality counts would be significantly lower.

How much lower?

the data suggests that accurate fatality rates could drop by approximately 90.2%.

How much would using the Medical Examiners’ and Coroners’ Handbook on Death Registration and Fetal Death Reporting rather than the March 24th NVSS guidelines and the April 14th CSTE position paper completely reshape the way we see COVID-19?

How much would it address the fear of the SARS-CoV-2 virus, and the implications, which so many media outlets have attempted to instilled within us?

And would any objective American have any worry for our children’s safety if they knew that pneumonia and influenza have each claimed more lives in the 0 to 14 age demographic than COVID-19?

We have serious professional and ethical concerns with empowering people with limited medical training to diagnose any medical condition without examining the prospective patient and reviewing a full health history with them as Contact Tracers are doing.

We have serious professional and ethical concerns with hospitals admitting patients as COVID-19 case without definitive evidence.

We have serious professional and ethical concerns with licensed physicians and nurses being required to classify all hospitalizations as COVID-19, regardless of reason for admission, or if the patient tests positive or is suspected to have contracted the SARS-CoV-2 virus. Making this a requirement prevents trained medical professionals from using their best judgment in determining diagnosis.

We have serious professional and ethical concerns with COVID-19 having much lower standards of evidence and much broader categories for inclusion into reports as Probable compared to reporting for all other infectious diseases.

In medicine, we are taught not to guess when we can know, but that basic ethos for safe practice and the sharing of accurate information has not been applied to COVID-19 in our professional opinions.

And we have serious professional and ethical concerns with medical examiners and coroners being required to list COVID-19 on Part I line item (a) as the cause of death in the clear presence of comorbid conditions with verifiable medical history, rather than trusting our healthcare professionals to do the job they are trained to do and have done so well, for so many years.

Medical examiners and coroners play a crucial role in saving lives by producing accurate data licensed healthcare professionals to use in clinical settings.

There is something to be learned in every loss of life. Sadly, what we are learning with COVID-19 is that accuracy in reporting does not matter as much as inflating the data and fanning the flame of fear.

Should American children, educational professionals, small business owners, workers and our country as a whole have to suffer because critical mistakes were made in the adoption of unnecessary new reporting rules?

Should public health officials, with no expertise in public education and economic policy, be given unchecked power to create policies that adversely impact the mental, emotional, and social development of our children, suppress small-business economic opportunity, and threaten to destroy the livelihoods of tens of millions of Americans in the name of safety?

These are questions all Americans deserve an answer to and questions we all must answer for ourselves…our collective future depends upon it.

Funding & Conflict of Interest Statement

This statistical research paper has been developed, composed and published without any funding, and thanks in part to a strictly, 100% volunteer community effort made by a diverse array of qualified professionals who care deeply about children and the health of every American. The authors of this paper confirm no conflicts of interest, financial, political or otherwise.


1.      CDC: Provisional COVID-19 Death Counts By Sex, Age, & State https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Sex-Age-and-S/9bhg-hcku

2.      Highfield, Roger; Coronavirus: Hunting Down COVID-19; Science Museum, 4-27-20: https://www.sciencemuseumgroup.org.uk/blog/hunting-down-covid-19/

3.      Soderpalm, Helena: Sweden’s health agency says open schools did not spur pandemic spread among children; Reuters: 7-15-20: https://www.reuters.com/article/us-health-coronavirus-sweden-schools-idUSKCN24G2IS

4.      Huggler, Justin; German Study Finds no Evidence Coronavirus Spreads in Schools; The Telegraph; 7-13-20: https://news.yahoo.com/german-study-finds-no-evidence-164704005.html

5.      National Centre for Immunisation Research and Surveillance (NCIRS) COVID-19 in schools – the experience in NSW; 26 April 2020: http://ncirs.org.au/sites/default/files/2020-04/NCIRS%20NSW%20Schools%20COVID_Summary_FINAL%20public_26%20April%202020.pdf

6.      Laura Heavey, Geraldine Casey, Ciara Kelly, David Kelly, Geraldine McDarby; No evidence of secondary transmission of COVID-19 from children attending school in Ireland, 2020; EuroSurveillance, Volume 25, Issue 21, 28/May/2020; https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2020.25.21.2000903#html_fulltext

7.      COVID-19 IN PRIMARY SCHOOLS: NO SIGNIFICANT TRANSMISSION AMONG CHILDREN OR FROM STUDENTS TO TEACHERS; 6-23-20; https://www.pasteur.fr/en/press-area/press-documents/covid-19-primary-schools-no-significant-transmission-among-children-students-teachers

8.      NVSS: National Vital Statistics System COVID-19 Alert No. 2 https://www.cdc.gov/nchs/data/nvss/coronavirus/Alert-2-New-ICD-code-introduced-for-COVID-19-deaths.pdf

9.      CSTE: Council of State & Territorial Epidemiologists; Standardized surveillance case definition and national notification for 2019 novel coronavirus disease (COVID-19); Interim-20-ID-01; https://cdn.ymaws.com/www.cste.org/resource/resmgr/2020ps/Interim-20-ID-01_COVID-19.pdf

10.  CDC: Medical Examiners’ and Coroners’ Handbook on Death Registration and Fetal Death Reporting, 2003 Revision https://www.cdc.gov/nchs/data/misc/hb_me.pdf

11.  CDC: Physicians’ Handbook on Medical Certification of Death, 2003 Revision https://www.cdc.gov/nchs/data/misc/hb_cod.pdf

12.  Kopecki, Higgins-Dunn, Miller; CDC tells people over 60 or who have chronic illnesses like diabetes to stock up on goods and buckle down for a lengthy stay at home; CNBC, March 9, 2020, https://www.cnbc.com/2020/03/09/many-americans-will-be-exposed-to-coronavirus-through-2021-cdc-says.html

13.  World Health Organization; Naming the coronavirus disease (COVID-19) and the virus that causes it; https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it

14.  Centers for Disease Control & Prevention (CDC); Data Management for Assigning and Managing Investigations; https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/data-management.html

15.  Centers for Disease Control & Prevention (CDC); Cases in the U.S.; https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

16.  Centers for Disease Control & Prevention (CDC); Overview of Testing for SARS-CoV-2; https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html

17.  Centers for Disease Control & Prevention (CDC); Discontinuation of Transmission-Based Precautions and Disposition of Patients with COVID-19 in Healthcare Settings (Interim Guidance); https://www.cdc.gov/coronavirus/2019-ncov/hcp/disposition-hospitalized-patients.html

18.  Sin Hang Lee; Testing for SARS-CoV-2 in cellular components by routine nested RT-PCR followed by DNA sequencing; International Journal of Geriatrics and Rehabilitation 2(1):69- 96, July 17, 2020 http://www.int-soc-clin-geriat.com/info/wp-content/uploads/2020/03/Dr.-Lees-paper-on-testing-for-SARS-CoV-2.pdf

State & Territory Health Departments

19.              Alaska Department of Health & Social Services Coronavirus Response: https://coronavirus-response-alaska-dhss.hub.arcgis.com/

20.  Alabama’s COVID-19 Data and Surveillance Dashboard: https://alpublichealth.maps.arcgis.com/apps/opsdashboard/index.html#/6d2771faa9da4a2786a509d82c8cf0f7

21.  https://www.healthy.arkansas.gov/programs-services/topics/novel-coronavirus

22.  Arkansas Department of Health: https://azdhs.gov/preparedness/epidemiology-disease-control/infectious-disease-epidemiology/covid-19/dashboards/index.php

23.  California COVID-19 Dashboard: https://public.tableau.com/views/COVID-19PublicDashboard/Covid-19Hospitals?:embed=y&:display_count=no&:showVizHome=no

24.  Colorado Department of Public Health & Environment, Case Data: https://covid19.colorado.gov/data/case-data

25.  Connecticut COVID-19 Response: https://portal.ct.gov/Coronavirus

26.  Government of the District of Columbia, Coronavirus Data: https://coronavirus.dc.gov/page/coronavirus-data

27.  State of Delaware COVID-19 Data Dashboard: https://myhealthycommunity.dhss.delaware.gov/locations/state

28.  Florida COVID-19 Response: https://floridahealthcovid19.gov/

29.  Georgia Department of Public Health: https://dph.georgia.gov/covid-19-daily-status-report

30.  State of Hawaii Department of Health, Disease Outbreak Division: https://health.hawaii.gov/coronavirusdisease2019/

31.  Iowa Department of Public Health https://idph.iowa.gov/Emerging-Health-Issues/Novel-Coronavirus

32.  Idaho Department of Public Health Dashboard: https://public.tableau.com/profile/idaho.division.of.public.health#!/vizhome/DPHIdahoCOVID-19Dashboard_V2/Story1

33.  Illinois Department of Public Health COVID-19 Statistics: http://www.dph.illinois.gov/covid19/covid19-statistics

34.  Indiana COVID-19 Dashboard: https://www.coronavirus.in.gov/

35.  Kansas Department of Health & Environment, COVID-19 Cases in Kansas: https://www.coronavirus.kdheks.gov/160/COVID-19-in-Kansas

36.  Kentucky Cabinet for Health & Family Services: https://govstatus.egov.com/kycovid19

37.  Louisiana Department of Health: http://ldh.la.gov/Coronavirus/

38.  Massachusetts Department of Public Health COVID-19 Dashboard -Dashboard of Public Health Indicators: https://www.mass.gov/info-details/covid-19-response-reporting

39.  Maryland Department of Health: https://coronavirus.maryland.gov/

40.  Maine Center for Disease Control & Prevention: https://www.maine.gov/dhhs/mecdc/infectious-disease/epi/airborne/coronavirus/index.shtml

41.  Michigan Coronavirus Data: https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173—,00.html

42.  Minnesota Department of Health: https://www.health.state.mn.us/diseases/coronavirus/situation.html

43.  Missouri COVID-19 Dashboard: http://mophep.maps.arcgis.com/apps/MapSeries/index.html?appid=8e01a5d8d8bd4b4f85add006f9e14a9d

44.  Mississippi State Department of Health: https://msdh.ms.gov/msdhsite/_static/14,0,420.html#caseTable

45.  MONTANA RESPONSE: COVID-19 – Coronavirus – Global, National, and State Information Resources: https://montana.maps.arcgis.com/apps/MapSeries/index.html?appid=7c34f3412536439491adcc2103421d4b

46.  North Carolina NCDHHS COVID-19 Response: https://covid19.ncdhhs.gov/https://www.health.nd.gov/diseases-conditions/coronavirus/north-dakota-coronavirus-cases

47.  Coronavirus COVID-19 Nebraska Cases by the Nebraska Department of Health and Human Services (DHHS): https://nebraska.maps.arcgis.com/apps/opsdashboard/index.html#/4213f719a45647bc873ffb58783ffef3

48.  New Hampshire Department of Health & Human Services: https://www.nh.gov/covid19/

49.  New Jersey COVID-19 information Hub: https://covid19.nj.gov/#live-updates

50.  https://cv.nmhealth.org/

51.  State of Nevada Department of Health & Human Services, Office of Analytics: https://app.powerbigov.us/view?r=eyJrIjoiMjA2ZThiOWUtM2FlNS00MGY5LWFmYjUtNmQwNTQ3Nzg5N2I2IiwidCI6ImU0YTM0MGU2LWI4OWUtNGU2OC04ZWFhLTE1NDRkMjcwMzk4MCJ9

52.  New York Department of Health, NYSDOH COVID-19 Tracker: https://covid19tracker.health.ny.gov/views/NYS-COVID19-Tracker/NYSDOHCOVID-19Tracker-Map?%3Aembed=yes&%3Atoolbar=no&%3Atabs=n

53.  New York City Coronavirus Data: https://github.com/nychealth/coronavirus-data

54.  https://www1.nyc.gov/site/doh/covid/covid-19-data.page

55.  Ohio Department of Health: https://coronavirus.ohio.gov/wps/portal/gov/covid-19/home

56.  Oklahoma State Department of Health: https://coronavirus.health.ok.gov/

57.  Oregon Health Authority: https://govstatus.egov.com/OR-OHA-COVID-19

58.  COVID-19 Data for Pennsylvania: https://www.health.pa.gov/topics/disease/coronavirus/Pages/Cases.aspx

59.  Puerto Rico Health Statistics: https://estadisticas.pr/en/covid-19

60.  Rhode Island COVID-19 Response Data: https://ri-department-of-health-covid-19-data-rihealth.hub.arcgis.com/

61.  South Carolina Testing Data & Projections (COVID-19): https://scdhec.gov/infectious-diseases/viruses/coronavirus-disease-2019-covid-19/sc-testing-data-projections-covid-19

62.  South Dakota Department of Health: https://doh.sd.gov/news/Coronavirus.aspx

63.  Tennessee Department of Health: https://www.tn.gov/health/cedep/ncov.html

64.  Texas Health & Human Services: https://txdshs.maps.arcgis.com/apps/opsdashboard/index.html#/ed483ecd702b4298ab01e8b9cafc8b83

65.  Utah Department of Health: COVID-19 Surveillance: https://coronavirus-dashboard.utah.gov/

66.  Virginia Department of Health: https://public.tableau.com/views/VirginiaCOVID-19Dashboard/VirginiaCOVID-19Dashboard?:embed=yes&:display_count=yes&:showVizHome=no&:toolbar=no

67.  S Virgin Islands Department of Health: https://doh.vi.gov/

68.  Vermont Current Activity Dashboard: https://www.healthvermont.gov/response/coronavirus-covid-19/current-activity-vermont

69.  Washington State Department of Health: https://www.doh.wa.gov/Emergencies/Coronavirus

70.  Wisconsin Department of Health Services: https://www.dhs.wisconsin.gov/covid-19/data.htm

71.  West Virginia Health & Human Resources: https://dhhr.wv.gov/COVID-19/Pages/default.aspx

72.  Wyoming Department of Health: https://health.wyo.gov/publichealth/infectious-disease-epidemiology-unit/disease/novel-coronavirus/covid-19-map-and-statistics/

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1 Comment

  1. Avatar

    I am not an authority on a subject as complex as the Coved Virus; but I felt
    that perhaps the issue had been a little rushed at the time.

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