COVID-19: Resources on Virtually Unstoppable Aerosol Transmission

A key issue in the current COVID-19 coronavirus pandemic is the role of aerosol transmission which is virtually unstoppable in the spread of the virus. Aerosol transmission is transmission by tiny particles only a few microns in size that float indefinitely or nearly indefinitely in the air. The finest human hair is about twenty microns in diameter.

Asymptomatic carriers which may comprise about eighty percent of cases mostly don’t cough and sneeze which produces larger particles that fall to the ground under gravity. Asymptomatic carriers probably spread the disease primarily through aerosol transmission or physical contact.

Aerosol transmission is virtually unstoppable except by the equivalent of wearing a space suit. If it is a substantial mode of transmission, lockdowns, quarantines, sheltering in place, most face masks, etc. are not effective and cannot explain low death numbers in regions like Santa Clara County, California where I live. One hundred and twenty-eight (128) reported COVID-19 deaths as of May 10, 2020 in a county of almost two million residents, probably with the closest ties to China of any region in the United States.

Santa Clara County COVID-19 Cases Dashboard on May 10, 2020

If aerosol transmission is a substantial mode of transmission, confining large numbers of people to apartment complexes and buildings is likely to spread the disease efficiently through hallways, lobbies, laundry rooms, other shared spaces, and the ventilation system of the building. Similarly, shopping at the few giant stores such as Walmart and Safeway left open as “essential” is likely to spread the disease efficiently.

Indeed more extensive testing appears to be showing the disease is much wider spread than originally thought/expected which also means that it is much less deadly than original reports and claims. The seeming dramatic spread in the New York City area is easy to understand with substantial aerosol transmission.

Aerosol Transmission of Influenza

Given the general panic and newness of the COVID-19 coronavirus, one should examine what is known about aerosol transmission of other, ostensibly well-studied viruses such as influenza. Remarkably, it remains unclear how much aerosol transmission contributes to the spread of influenza and apparently the subject of some controversy.

Given that the devastating “Spanish” or “swine” flu epidemic in 1918 is usually blamed on an influenza virus (as well as high profile “swine flu” scares in 1976 and 2009) this lack of knowledge is troubling: what have the NIH, CDC, and other agencies been doing with billions of dollars in funding specifically to prevent or contain a deadly influenza pandemic?

Some recent references which indicate that aerosol transmission is probably a major route of transmission for influenza.

Aerosol transmission is an important mode of influenza A virus spread

Benjamin J. Cowling, Dennis K. M. Ip, Vicky J. Fang, Piyarat Suntarattiwong, Sonja J. Olsen, Jens Levy, Timothy M. Uyeki, Gabriel M. Leung, J. S. Malik Peiris, Tawee Chotpitayasunondh, Hiroshi Nishiura & James Mark Simmerman 

Nature Communications volume 4, Article number: 1935 (2013)

Abstract

Influenza A viruses are believed to spread between humans through contact, large respiratory droplets and small particle droplet nuclei (aerosols), but the relative importance of each of these modes of transmission is unclear. Volunteer studies suggest that infections via aerosol transmission may have a higher risk of febrile illness. Here we apply a mathematical model to data from randomized controlled trials of hand hygiene and surgical face masks in Hong Kong and Bangkok households. In these particular environments, inferences on the relative importance of modes of transmission are facilitated by information on the timing of secondary infections and apparent differences in clinical presentation of secondary infections resulting from aerosol transmission. We find that aerosol transmission accounts for approximately half of all transmission events. This implies that measures to reduce transmission by contact or large droplets may not be sufficient to control influenza A virus transmission in households. (EMPHASIS ADDED)

URL: https://www.ncbi.nlm.nih.gov/pubmed/23736803

Aerosol transmission of influenza A virus: a review of new studies

Raymond Tellier

Abstract

Over the past few years, prompted by pandemic preparedness initiatives, the debate over the modes of transmission of influenza has been rekindled and several reviews have appeared. Arguments supporting an important role for aerosol transmission that were reviewed included prolonged survival of the virus in aerosol suspensions, demonstration of the low infectious dose required for aerosol transmission in human volunteers, and clinical and epidemiological observations were disentanglements of large droplets and aerosol transmission was possible. Since these reviews were published, several new studies have been done and generated new data. These include direct demonstration of the presence of influenza viruses in aerosolized droplets from the tidal breathing of infected persons and in the air of an emergency department; the establishment of the guinea pig model for influenza transmission, where it was shown that aerosol transmission is important and probably modulated by temperature and humidity; the demonstration of some genetic determinants of airborne transmission of influenza viruses as assessed using the ferret model; and mathematical modelling studies that strongly support the aerosol route. These recent results and their implication for infection control of influenza are discussed in this review.

J R Soc Interface. 2009 Dec 6; 6(Suppl 6): S783–S790.

URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2843947/

Review of Aerosol Transmission of Influenza A Virus

Raymond Tellier

In theory, influenza viruses can be transmitted through aerosols, large droplets, or direct contact with secretions (or fomites). These 3 modes are not mutually exclusive. Published findings that support the occurrence of aerosol transmission were reviewed to assess the importance of this mode of transmission. Published evidence indicates that aerosol transmission of influenza can be an important mode of transmission, which has obvious implications for pandemic influenza planning and in particular for recommendations about the use of N95 respirators as part of personal protective equipment.

Emerg Infect Dis. 2006 Nov; 12(11): 1657–1662.

URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372341/

Aerosol Transmission of the COVID-19 Coronavirus

Much of the published literature on aerosol transmission of SARS-COV-2 focuses on possible aerosol transmission during medical procedures and the risks to doctors, dentists, and other health professionals. This has been part of the justification for aggressive use of intubation in treatment of the disease. Intubation is an extremely risky, dangerous medical procedure.

There have been some scientific and scholarly articles on aerosol transmission in non-medical settings — the general spread of the disease etc. It should be noted that all articles on COVID-19 in the last few months are the product of a high stress crisis atmosphere where the fight-or-flight response is almost certainly activated at a high level. The fight-or-flight response generally degrades much higher cognitive function in favor of short term thinking optimized for physical combat in ancient times.

Airborne transmission of SARS-CoV-2: the world should face the reality


Lidia Morawskaa,⁎ and Junji Caob

Hand washing and maintaining social distance are the main measures recommended by the World Health Organization (WHO) to avoid contracting COVID-19. Unfortunately, these measured do not prevent infection by inhalation of small droplets exhaled by an infected person that can travel distance of meters or tens of meters in the air and carry their viral content. Science explains the mechanisms of such transport and there is evidence that this is a significant route of infection in indoor environments. Despite this, no countries or authorities consider airborne spread of COVID-19 in their regulations to prevent infections transmission indoors. It is therefore extremely important, that the national authorities acknowledge the reality that the virus spreads through air, and recommend that adequate control measures be implemented to prevent further spread of the SARS-CoV-2 virus, in particularly removal of the virus-laden droplets from indoor air by ventilation.

Environ Int. 2020 Apr 10 : 105730.

URL:  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7151430/

Airborne route and bad use of ventilation systems as non-negligible factors in SARS-CoV-2 transmission

G. Correia,a,b,⁎ L. Rodrigues,b M. Gameiro da Silva,c and T. Gonçalvesa,b

Summary

The world is facing a pandemic of unseen proportions caused by a corona virus named SARS-CoV-2 with unprecedent worldwide measures being taken to tackle its contagion. Person-to-person transmission is accepted but WHO only considers aerosol transmission when procedures or support treatments that produce aerosol are performed. Transmission mechanisms are not fully understood and there is evidence for an airborne route to be considered, as the virus remains viable in aerosols for at least 3 h and that mask usage was the best intervention to prevent infection.

Heating, Ventilation and Air Conditioning Systems (HVAC) are used as a primary infection disease control measure. However, if not correctly used, they may contribute to the transmission/spreading of airborne diseases as proposed in the past for SARS.

The authors believe that airborne transmission is possible and that HVAC systems when not adequately used may contribute to the transmission of the virus, as suggested by descriptions from Japan, Germany, and the Diamond Princess Cruise Ship. Previous SARS outbreaks reported at Amoy Gardens, Emergency Rooms and Hotels, also suggested an airborne transmission.

Further studies are warranted to confirm our hypotheses but the assumption of such way of transmission would cause a major shift in measures recommended to prevent infection such as the disseminated use of masks and structural changes to hospital and other facilities with HVAC systems.

Med Hypotheses. 2020 Aug; 141: 109781.

URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182754/

Consideration of the Aerosol Transmission for COVID‐19 and Public Health

Elizabeth L. Anderson
Paul Turnham
John R. Griffin
Chester C. Clarke
Risk Analysis: An International Journal  (First published: 01 May 2020)

Abstract

This article analyzes the available evidence to address airborne, aerosol transmission of the SARS-CoV-2. We review and present three lines of evidence: case reports of transmission for asymptomatic individuals in association with studies that show that normal breathing and talking produce predominantly small droplets of the size that are subject to aerosol transport; limited empirical data that have recorded aerosolized SARS‐CoV‐2 particles that remain suspended in the air for hours and are subject to transport over distances including outside of rooms and intrabuilding, and the broader literature that further supports the importance of aerosol transmission of infectious diseases. The weight of the available evidence warrants immediate attention to address the significance of aerosols and implications for public health protection.

URL: https://onlinelibrary.wiley.com/doi/full/10.1111/risa.13500

Conclusion

There is a remarkable lack of key measurements in the current coronavirus COVID-19 pandemic. These include the actual mortality rate (aka infection fatality rate) broken down by age, sex, race, pre-existing medical conditions, ambient temperature, sunlight levels, pollution levels, other risk factors and medical treatment used (e.g. intubation). The false positive and false negative rates of the tests for the disease, both the tests for an active infection such as the RT-PCR tests and tests for past infection such as the antibody tests. The methods and rates of transmission for the disease. Aerosol transmission probably occurs at least at a low level and is virtually unstoppable.

The CDC and the National Security bioweapons defense programs should have been set up to quickly and efficiently collect these key data and parameters as soon as a possible outbreak or attack was detected, independent of warnings and information provided by a potential adversary such as China or from the World Health Organization (WHO).

These key measurements of the properties of the virus and disease should be collected as soon as possible by anyone who can and shared with the world.

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

What Should We Do About the COVID-19 Pandemic?

What We Should Do About COVID-19

We need more data and key measurements including the infection fatality rate (aka actual mortality rate) broken down by age, sex, race, pre-existing medical conditions, ambient temperature, sunlight levels, air pollution levels and other risk factors. The false positive and negative rates of the tests, both the tests for active infection such as the RT-PCR tests and tests for past infection such as the antibody tests. How the disease spreads and at what rates for different modes. Aerosol transmission which is virtually unstoppable probably occurs at least at a low level. The data should be collected and analyzed in an open “transparent” manner by multiple independent teams, not just those funded or controlled by the CDC which has many conflicts of interest. Decisions should be made based on knowledge and careful thought and not fear, anger, and the primal fight or flight response which seriously degrades higher cognitive function.

There are also a number of other questions that should be quickly and carefully resolved where possible including the appropriateness of aggressive intubation, generally considered a very dangerous risky procedure, for coronavirus patients, how well ultraviolet light both artificial and in sunlight damages or destroys the virus under field conditions including in aerosol particles and on surfaces, etc. This is a short post and I won’t cover all these other questions here.

Decisions on maintaining, scaling back or fully stopping lockdowns, social distancing, masks and other measures should be based on this evidence. My opinion is that this evidence is either lacking or rudimentary/inadequate as of today (Sunday, May 3, 2020). It should be collected as soon as possible by whomever can do it and shared with the world.

Companion Video

YouTube: https://www.youtube.com/watch?v=NODYMOCYSBU

BitChute: https://www.bitchute.com/video/ni5bG48M1KaI/

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

Link: Scientists who express different views on Covid-19 should be heard not demonized

Article at statnews.com by Vinay Prasad and Jeffrey S. Flier

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

Decoupling Trump from COVID-19

Matt Taibbi and Katie Halper on Decoupling Trump from COVID-19

They say it better than I can.

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

COVID-19: Doshi on the CDC’s Unexplained “Flu” Death Numbers

A key issue in the current coronavirus COVID-19 pandemic is how it compares to “seasonal flu,” “flu,” “influenza” or “pneumonia and influenza,” terms that are often used interchangeably but have different definitions or implied definitions in different contexts.

For example, the widely quoted infection fatality rate for the “flu” of 0.1 percent (one in a thousand) is based on models from the CDC that assume deaths from the influenza viruses are grossly underreported. Regardless of the models, in common English usage a large fraction of the public interprets “flu” as synonymous with “common cold.” The effective infection fatality rate of the common usage “flu”/”common cold” (averaged over all diseases and people) is far below 0.1 percent.

An overlapping key issue is whether false positives from the coronavirus RT-PCR test or diagnoses without the test (e.g. lung x-rays or examination of a patient by a doctor) has attributed a substantial number of conventional pneumonia deaths and heart attacks to the COVID-19 coronavirus.

Remarkably, the United States Centers for Disease Control (CDC) appears to use two different counts (or model outputs?) of annual deaths from “influenza and pneumonia” or “pneumonia and influenza” that differ by over a factor of three.

The “Deaths: Final Data for 2017” report (Page Six, Table B) lists “influenza and pneumonia” as the eighth leading cause of death with 55,672 deaths in 2017.

Influenza and pneumonia (8th Leading cause of death in Deaths: Final Data for 2017)

In contrast, the Weekly Pneumonia and Influenza (P&I) Mortality Surveillance lists over 180,000 deaths from “pneumonia and influenza” (mostly pneumonia) in 2017 in the data files on the site apparently used to generate the FluView plot displayed. The weekly surveillance number provides a much larger pool of potential false positives than the more widely quoted number of about 50,000 “flu” deaths per year.

Influenza: a study in contemporary medical politics by Peter Doshi

Peter Doshi has published many articles on the CDC’s “flu” death numbers, the CDC’s long history of seemingly contradictory claims about influenza and pneumonia, and related topics. Some of these are available online. His Ph.D. dissertation Influenza: a study in contemporary medical politics from MIT goes into much more detail and is available at: https://dspace.mit.edu/handle/1721.1/69811 (Click Download on the left side)

Download button (April 27, 2020)

If MIT does not work (MIT download is faster), an archival copy is available at: http://www.mathematical-software.com/778073688-MIT.pdf

This is a well written but long (312 pages) dissertation. All of it is relevant to the current pandemic crisis, but it is a lot to digest. The most important and most relevant to the current pandemic section is Chapter 4: False Assumptions: a Shaky Foundation for Consensus (Pages 151-212, including tables and figures).

Key topics discussed in detail in this chapter include:

The CDC uses models to assign many deaths to influenza (the influenza viruses) even though doctors rarely diagnose influenza, rarely list influenza as a cause of death on death certificates, and most laboratory tests of samples from patients with respiratory illnesses (often called Influenza Like Illnesses or ILI) do not confirm the presence of the influenza viruses and often identify other viruses such as rhinovirus, adenovirus, various coronaviruses, etc. as present instead. These models may even assign deaths listed on death certificates as heart attacks to the total.

The models differ from researcher and publication to researcher and publication, have changed dramatically over the years, notably a jump from 20,000 estimated “flu” deaths in 2002 to a widely quoted estimate of 36,000 in 2003.

The evidence that flu vaccines work is weak and contradictory.

Conclusion

There is a remarkable lack of key measurements in the current coronavirus COVID-19 pandemic. These include the actual mortality rate (aka infection fatality rate) broken down by age, sex, race, pre-existing medical conditions, ambient temperature, sunlight levels, pollution levels, and other risk factors. The false positive and false negative rates of the tests for the disease, both the tests for an active infection such as the RT-PCR tests and tests for past infection such as the antibody tests. The methods and rates of transmission for the disease. Aerosol transmission probably occurs at least at a low level and is virtually unstoppable.

The confusing language and numbers on pneumonia and influenza on the CDC web site and in various official reports and documents seem to be primarily for marketing the flu vaccines rather than enabling informed decisions by patients and doctors or supporting external scientific research into the influenza viruses or other diseases.

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(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

Santa Clara County’s Remarkably Low COVID-19 Death Numbers

Santa Clara County’s Remarkably Low COVID-19 Numbers

Santa Clara County, California has remarkably low COVID-19 death numbers despite extremely close ties to China and the many missteps in the response to the pandemic. I discuss this in detail and the possible reasons for the low numbers.

This is a written version with slides and notes (a PDF file). It is usually faster to read the written version than watch the video. The video may be clearer and more detailed on a few points. References are included in the written version.

Video also available on BitChute: https://www.bitchute.com/video/dy2BGSRE8zM6/

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COVID-19: List of Resources on Weather, Temperature and Pneumonia/Influenza Deaths

A key question about pneumonia and influenza (including the COVID-19 Sars-Cov-2 coronavirus disease) is the role of weather and temperature on the incidence, severity, and mortality rates from the diseases. Pneumonia and influenza cases and deaths are seasonal, peaking in the winter when sunlight levels and temperatures are lower. The curve for pneumonia and influenza deaths is roughly sinusoidal, which would be expected from something connected to sunlight levels. This is not what one would naively expect from children spreading the disease during the school year; we would expect an abrupt step up in the fall when kids return to school and a step down in the spring when school closes.

A previous post listed a number of resources on the possible direct effects of sunlight through vitamin D production and direct destruction of viruses and bacteria by sunlight, especially the ultraviolet component.

Seasonal Variation in Deaths from Pneumonia and Influenza (2014-2020)

There is a fair amount of research on the role of weather and temperature in the incidence, severity and mortality of pneumonia and influenza. Generally the research seems to support a positive correlation between lower temperatures and also rapid changes in temperature with higher incidence, severity and mortality from pneumonia and influenza as well as other causes of death, notably coronary disease. It also suggests extreme heat “heat waves” is positively correlated with pneumonia. Below are several scientific and scholarly articles; the interested reader can find more articles and details at PubMed (enter “pneumonia and weather” for example in the search box).

Note that correlation does not prove causation.

Scientific and Scholarly Articles

The Lancet
Volume 315, Issue 8183, 28 June 1980, Pages 1405-1408
Journal home page for The Lancet
Occasional Survey
THE WEATHER AND DEATHS FROM PNEUMONIA
Author links open overlay panelG.M.Bull
https://doi.org/10.1016/S0140-6736(80)92666-5

URL: https://www.sciencedirect.com/science/article/pii/S0140673680926665

=============================

Age Ageing. 1978 Nov;7(4):210-24.
Environment, temperature and death rates.
Bull GM, Morton J.
Abstract

Analysis of recorded monthly deaths in England and Wales shows a close association of death rates with external temperature in most diseases other than the cancers. Analysis of daily deaths in England and Wales and in New York shows the following relationships between temperature and deaths from myocardial infarction, strokes and pneumonia. Between -10 degrees and +20 degrees C mimimum temperature there is a nearly linear fall in deaths as the temperature rises. Above 20 degrees C deaths rise steeply as the temperature rises and below -10 degrees C rise steeply as temperature falls. These associations of deaths with temperature are much stronger in the elderly than in younger subjects. Detailed analysis of the daily deaths in England and Wales from myocardial infarction, strokes and pneumonia show that short-term (1–2 days) temperature changes have little effect on death rates but medium-term (7–10 days) and longer-term (three or more weeks) changes associated with very significant changes in death rates. The three diseases vary in the time relations between temperature change and change in death rates. In all three there is an interval between the change in temperature and death and this is shortest in the case of myocardial infarction (1–2 days before death), longest in the case of pneumonia (about a week before death) and intermediate in the case of strokes (about 3–4 days before death). At low temperatures death rates increase as the duration of temperature change increases, while at high temperatures (but below +20 degrees C) death rates decrease as the period of temperature change is longer. The implications of these findings are discussed and it is postulated that there is probably causal relationship between temperature change and deaths from a wide variety of diseases. A proximal link in the chain is probably a failure of autonomic control of body temperature in the elderly leading to a change in body temperature and some humoral change which in turn leads to death. It is not appropriate to concentrate on hypothermia as the relationship between temperature and death is seen at all temperatures.

PMID:
727071
DOI:
10.1093/ageing/7.4.210

[Indexed for MEDLINE] 

URL: https://www.ncbi.nlm.nih.gov/pubmed/727071

=================================================
Age Ageing. 1975 Feb;4(1):19-31.
Seasonal and short-term relationships of temperature with deaths from myocardial and cerebral infarction.
Bull GM, Morton J.
Abstract

In subjects over 60, changes in temperature lasting two or more days are associated with highly significant changes in death rates from myocardial infarction and cerbral vascular accidents. In both cases, the lower the temperature the higher the death rate and vice versa. Moreover the temperatures one to four days prior to the clinical onset of infarction are more relevant than that on the day of onset, a fact which may have a bearing on prophylaxis. In the case of strokes, a high temperature on the day of onset is also associated with an increase in deaths on that day. The relevance of these findings to possible mechanisms and prophylaxis is discussed.

PMID:
1155294
DOI:
10.1093/ageing/4.1.19

URL: https://www.ncbi.nlm.nih.gov/pubmed/1155294

===========================================

Cardiovascular deaths in winter.

Baghurst PA.

Lancet. 1979 May 5;1(8123):982-3. No abstract available.

PMID:
87658

  1. J Intern Med. 1991 Dec;230(6):479-85.

High coronary mortality in cold regions of Sweden.

Gyllerup S(1), Lanke J, Lindholm LH, Scherstén B.

Author information:
(1)Health Sciences Centre, Lund University, Dalby, Sweden.

The hypothesis that cold climate is associated with high coronary mortality in
Sweden is tested. Cold exposure was calculated in each of the 284 municipalities
of Sweden. There was a significant association between cold exposure and coronary
mortality in both sexes in all age groups. The strongest association was found in
men aged 40-64 years (coefficient of determination k = 0.39). The decile of men
aged 40-64 years who lived in the coldest municipalities had a 40% excess
mortality. A significant association was also found between cold exposure and
mortality from cerebrovascular diseases. We conclude that there is a strong
regional association between cold exposure and high coronary mortality.

DOI: 10.1111/j.1365-2796.1991.tb00478.x
PMID: 1748856 [Indexed for MEDLINE]

URL (text): https://www.ncbi.nlm.nih.gov/pubmed/11209661

URL (html): https://www.ncbi.nlm.nih.gov/pubmed/1748856

=========================================

  1. Int J Circumpolar Health. 2000 Oct;59(3-4):160-3.

Cold climate and coronary mortality in Sweden.

Gyllerup S(1).

Author information:
(1)Husensjö Group Practice, Helsingborg, Sweden.

In many European countries there is a tendency towards higher coronary mortality
in the northern parts of the country. Furthermore the highest coronary mortality
rates are found in the colder parts of Europe. We studied the regional variation
in coronary mortality in the 284 Swedish municipalities during a ten-year period
and the relation to the cold exposure in each municipality during the same time
period.METHODS: Mortality rates for each municipality were acquired from the
death certificates and indirectly standardised against the country. Temperature
readings from measurements 5 times a day during daytime were used to form a cold
index. We also compensated for wind chill by using Siples wind chill index.
Multiple regression models were used. Second degree polynomials were used for the
explanatory variables.
RESULTS: There was a strong relation between the cold exposure in a municipality
and coronary mortality. The cold index alone could explain 39% of the regional
variation in coronary mortality. In a multiple regression model, cold index was
the strongest explanatory variable. The coronary mortality in the coldest decile
of the population was 40% higher than in the country as a whole.
CONCLUSIONS: There is a strong regional association between cold exposure and
coronary mortality in Sweden. However, in this type of study, it is not possible
to determine whether this association is a causal one or not.

PMID: 11209661 [Indexed for MEDLINE]

URL: https://www.ncbi.nlm.nih.gov/pubmed/11209661

===========

  1. Scott Med J. 1993 Dec;38(6):169-72.

Cold climate is an important factor in explaining regional differences in
coronary mortality even if serum cholesterol and other established risk factors
are taken into account.

Gyllerup S(1), Lanke J, Lindholm LH, Schersten B.

Author information:
(1)Health Sciences Centre, Lund University, Dalby Sweden.

Earlier studies have shown a strong regional association between cold climate and
coronary mortality in Sweden and that coronary mortality is more strongly
associated with cold climate than with other explanatory factors such as drinking
water hardness, socioeconomic factors, tobacco and sales of butter. To examine
the joint impact of these factors and to investigate regional differences in
serum cholesterol and their relation to cold climate and coronary mortality,
regression analyses were performed with 259 municipalities in Sweden as units.
Mortality from acute myocardial infarction in men aged 40-64 during 1975-1984 was
used as the dependent variable. A cold index was calculated, this index and the
above mentioned factors were used as explanatory variables. The main results
were: Cold index was the strongest factor when introduced into a multiple
regression model. Four other strong factors had to be used to obtain the same
explanatory strength as cold index did alone, and even when introduced as the
last factor, cold index increased the coefficient of determination substantially.
In a subsample of 37 municipalities, serum cholesterol was not significantly
associated with coronary mortality. However, there was a significant correlation
between cold index and serum cholesterol.

DOI: 10.1177/003693309303800604
PMID: 8146634 [Indexed for MEDLINE]

URL: https://www.ncbi.nlm.nih.gov/pubmed/8146634

======

  1. Am J Epidemiol. 2016 Oct 15;184(8):555-569. Epub 2016 Oct 6.

Pneumonia Hospitalization Risk in the Elderly Attributable to Cold and Hot
Temperatures in Hong Kong, China.

Qiu H, Sun S, Tang R, Chan KP, Tian L.

The growth of pathogens potentially relevant to respiratory tract infection may
be triggered by changes in ambient temperature. Few studies have examined the
association between ambient temperature and pneumonia incidence, and no studies
have focused on the susceptible elderly population. We aimed to examine the
short-term association between ambient temperature and geriatric pneumonia and to
assess the disease burden attributable to cold and hot temperatures in Hong Kong,
China. Daily time-series data on emergency hospital admissions for geriatric
pneumonia, mean temperature, relative humidity, and air pollution concentrations
between January 2005 and December 2012 were collected. Distributed-lag nonlinear
modeling integrated in quasi-Poisson regression was used to examine the
exposure-lag-response relationship between temperature and pneumonia
hospitalization. Measures of the risk attributable to nonoptimal temperature were
calculated to summarize the disease burden. Subgroup analyses were conducted to
examine the sex difference. We observed significant nonlinear and delayed
associations of both cold and hot temperatures with pneumonia in the elderly,
with cold temperatures having stronger effect estimates. Among the 10.7% of
temperature-related pneumonia hospitalizations, 8.7% and 2.0% were attributed to
cold and hot temperatures, respectively. Most of the temperature-related burden
for pneumonia hospitalizations in Hong Kong was attributable to cold
temperatures, and elderly men had greater susceptibility.

© The Author 2016. Published by Oxford University Press on behalf of the Johns
Hopkins Bloomberg School of Public Health. All rights reserved. For permissions,
please e-mail: journals.permissions@oup.com.

DOI: 10.1093/aje/kww041
PMID: 27744405 [Indexed for MEDLINE]

URL: https://www.ncbi.nlm.nih.gov/pubmed/27744405

============================================================================

  1. Influenza Other Respir Viruses. 2016 Jul;10(4):310-3. doi: 10.1111/irv.12369.
    Epub 2016 May 17.

Cold, dry air is associated with influenza and pneumonia mortality in Auckland,
New Zealand.

Davis RE(1), Dougherty E(1), McArthur C(2), Huang QS(3), Baker MG(4).

Author information:
(1)Department of Environmental Sciences, University of Virginia, Charlottesville,
VA, USA.
(2)Auckland City Hospital, Auckland, New Zealand.
(3)Institute of Environmental Science and Research, Wellington, New Zealand.
(4)University of Otago-Wellington, Wellington, New Zealand.

The relationship between weather and influenza and pneumonia mortality was
examined retrospectively using daily data from 1980 to 2009 in Auckland, New
Zealand, a humid, subtropical location. Mortality events, defined when mortality
exceeded 0·95 standard deviation above the mean, followed periods of anomalously
cold air (ta.m. = -4·1, P < 0·01; tp.m. = -4·2, P < 0·01) and/or anomalously dry
air (ta.m. = -4·1, P < 0·01; tp.m. = -3·8, P < 0·01) by up to 19 days. These
results suggest that respiratory infection is enhanced during unusually cold
conditions and during conditions with unusually low humidity, even in a
subtropical location where humidity is typically high.

© 2015 The Authors. Influenza and Other Respiratory Viruses Published by John
Wiley & Sons Ltd.

DOI: 10.1111/irv.12369
PMCID: PMC4910181
PMID: 26681638 [Indexed for MEDLINE]

URL: https://www.ncbi.nlm.nih.gov/pubmed/26681638

====================================

  1. Environ Res. 2019 Feb;169:139-146. doi: 10.1016/j.envres.2018.10.031. Epub 2018
    Oct 30.

Impacts of cold weather on emergency hospital admission in Texas, 2004-2013.

Chen TH(1), Du XL(1), Chan W(2), Zhang K(3).

Author information:
(1)Department of Epidemiology, Human Genetics and Environmental Sciences, School
of Public Health, The University of Texas Health Science Center at Houston,
Houston, TX 77030, USA.
(2)Department of Biostatistics and Data Science, School of Public Health, The
University of Texas Health Science Center at Houston, Houston, TX, USA.
(3)Department of Epidemiology, Human Genetics and Environmental Sciences, School
of Public Health, The University of Texas Health Science Center at Houston,
Houston, TX 77030, USA; Southwest Center for Occupational and Environmental
Health, School of Public Health, The University of Texas Health Science Center at
Houston, Houston, TX, USA. Electronic address: kai.zhang@uth.tmc.edu.

Cold weather has been identified as a major cause of weather-related deaths in
the U.S. Although the effects of cold weather on mortality has been investigated
extensively, studies on how cold weather affects hospital admissions are limited
particularly in the Southern United States. This study aimed to examine impacts
of cold weather on emergency hospital admissions (EHA) in 12 major Texas
metropolitan statistical areas (MSAs) for the 10-year period, 2004-2013. A
two-stage approach was employed to examine the associations between cold weather
and EHA. First, the cold effects on each MSA were estimated using distributed lag
non-linear models (DLNM). Then a random effects meta-analysis was applied to
estimate pooled effects across all 12 MSAs. Percent increase in risk and
corresponding 95% confidence intervals (CIs) were estimated as with a 1 °C (°C)
decrease in temperature below a MSA-specific threshold for cold effects.
Age-stratified and cause-specific EHA were modeled separately. The majority of
the 12 Texas MSAs were associated with an increased risk in EHA ranging from 0.1%
to 3.8% with a 1 ⁰C decrease below cold thresholds. The pooled effect estimate
was 1.6% (95% CI: 0.9%, 2.2%) increase in all-cause EHA risk with 1 ⁰C decrease
in temperature. Cold wave effects were also observed in most eastern and southern
Texas MSAs. Effects of cold on all-cause EHA were highest in the very elderly
(2.4%, 95% CI: 1.2%, 3.6%). Pooled estimates for cause-specific EHA association
were strongest in pneumonia (3.3%, 95% CI: 2.8%, 3.9%), followed by chronic
obstructive pulmonary disease (3.3%, 95% CI: 2.1%, 4.5%) and respiratory diseases
(2.8%, 95% CI: 1.9%, 3.7%). Cold weather generally increases EHA risk
significantly in Texas, especially in respiratory diseases, and cold effects
estimates increased by elderly population (aged over 75 years). Our findings
provide insight into better intervention strategy to reduce adverse health
effects of cold weather among targeted vulnerable populations.

Copyright © 2018 Elsevier Inc. All rights reserved.

DOI: 10.1016/j.envres.2018.10.031
PMID: 30453131 [Indexed for MEDLINE]

URL: https://www.ncbi.nlm.nih.gov/pubmed/30453131

===========================

  1. Environ Res. 2014 Jul;132:334-41. doi: 10.1016/j.envres.2014.04.021. Epub 2014
    May 14.

Impact of temperature on childhood pneumonia estimated from satellite remote
sensing.

Xu Z(1), Liu Y(2), Ma Z(2), Li S(3), Hu W(1), Tong S(4).

Author information:
(1)School of Public Health and Social Work & Institute of Health and Biomedical
Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
(2)Rollins School of Public Health, Emory University, Atlanta, GA, United States.
(3)School of Public Health, Shanghai Jiaotong University School of Medicine,
Shanghai, China.
(4)School of Public Health and Social Work & Institute of Health and Biomedical
Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
Electronic address: s.tong@qut.edu.au.

The effect of temperature on childhood pneumonia in subtropical regions is
largely unknown so far. This study examined the impact of temperature on
childhood pneumonia in Brisbane, Australia. A quasi-Poisson generalized linear
model combined with a distributed lag non-linear model was used to quantify the
main effect of temperature on emergency department visits (EDVs) for childhood
pneumonia in Brisbane from 2001 to 2010. The model residuals were checked to
identify added effects due to heat waves or cold spells. Both high and low
temperatures were associated with an increase in EDVs for childhood pneumonia.
Children aged 2-5 years, and female children were particularly vulnerable to the
impacts of heat and cold, and Indigenous children were sensitive to heat. Heat
waves and cold spells had significant added effects on childhood pneumonia, and
the magnitude of these effects increased with intensity and duration. There were
changes over time in both the main and added effects of temperature on childhood
pneumonia. Children, especially those female and Indigenous, should be
particularly protected from extreme temperatures. Future development of early
warning systems should take the change over time in the impact of temperature on
children’s health into account.

Copyright © 2014 Elsevier Inc. All rights reserved.

DOI: 10.1016/j.envres.2014.04.021
PMID: 24834830 [Indexed for MEDLINE]

URL: https://www.ncbi.nlm.nih.gov/pubmed/24834830

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

COVID-19: List of Resources about Sunlight, Vitamin-D and Pneumonia and Influenza Deaths

A key question about pneumonia and influenza is the role of sunlight and vitamin-D production on the incidence, severity, and mortality rates from the diseases. Pneumonia and influenza cases and deaths are seasonal, peaking in the winter when sunlight levels and temperatures are lower. The curve for pneumonia and influenza deaths is roughly sinusoidal, which would be expected from something connected to sunlight levels. This is not what one would naively expect from children spreading the disease during the school year; we would expect an abrupt step up in the fall when kids return to school and a step down in the spring when school closes.

The body needs sunlight to produce vitamin D. Sunlight, particularly the ultraviolet component, can damage or kill viruses and bacteria. These and other effects related to sunlight levels may play a role in the sinusoidal pattern of pneumonia and influenza deaths.

Roughly Sinusoidal Model of Pneumonia and Influenza Deaths

Popular Sources

Want to Protect Yourself From Getting the Flu? Get Some Sunshine” by Jamie Ducharme, Time, March 2, 2018 URL: https://time.com/5181153/sunlight-flu-prevention-study/

Does the sun kill the new coronavirus? Expert explains” 2020-01-28 18:20:41 GMT+8 | cnTechPost URL: https://cntechpost.com/2020/01/28/does-the-sun-kill-the-new-coronavirus-expert-explains/

Alternative Sources

Coronavirus and the Sun: a Lesson from the 1918 Influenza Pandemic” by Richard Hobday, March 10, 2020, Medium (URL: https://medium.com/@ra.hobday/coronavirus-and-the-sun-a-lesson-from-the-1918-influenza-pandemic-509151dc8065)

“Vitamin D, Sunlight, and Pneumonia” Sunlight Institute, (5.11.2011 — could be May 11, 2011 or 4 November 2011 depending on date format), (URL: http://sunlightinstitute.org/vitamin-d-sunlight-and-pneumonia/)

Scholarly and Scientific Articles

The Open Air Treatment of Pandemic Influenza” by Richard Hobday and John Cason, American Journal of Public Health, July 8, 2008 (URL: https://ajph.aphapublications.org/doi/full/10.2105/AJPH.2008.134627)

“Sunlight and Protection Against Influenza” by David Slusky, Richard J. Zeckhauser NBER Working Paper No. 24340 Issued in February 2018, Revised in January 2019 URL: https://www.nber.org/papers/w24340

Beard, Jeremy A et al. “Vitamin D and the anti-viral state.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology vol. 50,3 (2011): 194-200. doi:10.1016/j.jcv.2010.12.006 URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308600/

Abstract

Vitamin D has long been recognized as essential to the skeletal system. Newer evidence suggests that it also plays a major role regulating the immune system, perhaps including immune responses to viral infection. Interventional and observational epidemiological studies provide evidence that vitamin D deficiency may confer increased risk of influenza and respiratory tract infection. Vitamin D deficiency is also prevalent among patients with HIV infection. Cell culture experiments support the thesis that vitamin D has direct anti-viral effects particularly against enveloped viruses. Though vitamin D’s anti-viral mechanism has not been fully established, it may be linked to vitamin D’s ability to up-regulate the anti-microbial peptides LL-37 and human beta defensin 2. Additional studies are necessary to fully elucidate the efficacy and mechanism of vitamin D as an anti-viral agent.

Vitamin D and the Immune System” by Cynthia Aranow, MD, Investigator Author information Copyright and License information

Abstract

It is now clear that vitamin D has important roles in addition to its classic effects on calcium and bone homeostasis. As the vitamin D receptor is expressed on immune cells (B cells, T cells and antigen presenting cells) and these immunologic cells are all are capable of synthesizing the active vitamin D metabolite, vitamin D has the capability of acting in an autocrine manner in a local immunologic milieu. Vitamin D can modulate the innate and adaptive immune responses. Deficiency in vitamin D is associated with increased autoimmunity as well as an increased susceptibility to infection. As immune cells in autoimmune diseases are responsive to the ameliorative effects of vitamin D, the beneficial effects of supplementing vitamin D deficient individuals with autoimmune disease may extend beyond the effects on bone and calcium homeostasis.


J Investig Med. Author manuscript; available in PMC 2012 Aug 1.Published in final edited form as:J Investig Med. 2011 Aug; 59(6): 881–886. doi: 10.231/JIM.0b013e31821b8755PMCID: PMC3166406NIHMSID: NIHMS291217PMID: 21527855

DisclaimerThe publisher’s final edited version of this article is available at J Investig MedSee other articles in PMC that cite the published article.Go to:



Curr Allergy Asthma Rep. 2009 Jan;9(1):81-7.

“Vitamin D, respiratory infections, and asthma.” by Ginde AA1, Mansbach JM, Camargo CA Jr.

Author information

Abstract

Over the past decade, interest has grown in the role of vitamin D in many nonskeletal medical conditions, including respiratory infection. Emerging evidence indicates that vitamin D-mediated innate immunity, particularly through enhanced expression of the human cathelicidin antimicrobial peptide (hCAP-18), is important in host defenses against respiratory tract pathogens. Observational studies suggest that vitamin D deficiency increases risk of respiratory infections. This increased risk may contribute to incident wheezing illness in children and adults and cause asthma exacerbations. Although unproven, the increased risk of specific respiratory infections in susceptible hosts may contribute to some cases of incident asthma. Vitamin D also modulates regulatory T-cell function and interleukin-10 production, which may increase the therapeutic response to glucocorticoids in steroid-resistant asthma. Future laboratory, epidemiologic, and randomized interventional studies are needed to better understand vitamin D’s effects on respiratory infection and asthma.PMID: 19063829 DOI: 10.1007/s11882-009-0012-7

The scientific and scholarly articles listed above include links to many other scholarly and scientific articles on the role of Vitamin D in respiratory illnesses.

“Official” Resources

Vitamin D supplementation and respiratory infections in children” World Health Organization (WHO) (URL: https://www.who.int/elena/titles/vitamind_pneumonia_children/en/)

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

COVID-19: List of Resources about Pollution and Pneumonia and Influenza Deaths

A key question about the coronavirus COVID-19 pandemic and pneumonia and influenza deaths in general is the role of air pollution in the disease and deaths. Wuhan, China — the presumed source of the outbreak — had high levels of pollution resulting in mass protests in July of 2019 and the hard hit Lombardy region of Italy had some of the highest air pollution levels in Europe. There are many kinds of air pollution and how they interact with the lungs, immune system, and various infections is unclear. There is a long body of research that air pollution increases the risk and severity of pneumonia.

I have listed several popular and scientific articles on air pollution and the coronavirus or pneumonia in general below. I also included several articles from 2019 on the protests in Wuhan at the end.

Keep in mind when medical scientists and the press say “linked” or “associated” this usually mean a statistical correlation has been found. Correlation (even perfect correlation) does not prove causation.

Popular Articles

“New Research Links Air Pollution to Higher Coronavirus Death Rates” by Lisa Friedman, New York Times, April 7, 2020 (URL: https://www.nytimes.com/2020/04/07/climate/air-pollution-coronavirus-covid.html )

This New York Times article is about the Harvard research listed below in the Scientific Articles section.

Conclusions: A small increase in long-term exposure to PM2.5 leads to a large increase in COVID-19 death rate, with the magnitude of increase 20 times that observed for PM2.5 and all-cause mortality. The study results underscore the importance of continuing to enforce existing air pollution regulations to protect human health both during and after the COVID-19 crisis. The data and code are publicly available.

“Does air pollution make you more susceptible to coronavirus? California won’t like the answer” by Tony Barboza, March 21, 2020, LA Times

URL: https://www.latimes.com/california/story/2020-03-21/coronavirus-air-pollution-health-risk

The answer is “probably yes.”

McMaster University. “Air pollution linked to hospitalizations for pneumonia in seniors.” ScienceDaily. ScienceDaily, 23 December 2009. <www.sciencedaily.com/releases/2009/12/091223074703.htm>.

A relatively recent study at McMaster University in Canada linking air pollution to pneumonia.

Scientific Articles

Exposure to air pollution and COVID-19 mortality in the United States (Updated April 5, 2020)

Xiao Wu MS, Rachel C. Nethery PhD, M. Benjamin Sabath MA, Danielle Braun PhD, Francesca Dominici PhD
All authors are part of the Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA

Lead authors: Xiao Wu and Rachel C. Nethery
Corresponding and senior author: Francesca Dominici, PhD

URL: <https://projects.iq.harvard.edu/covid-pm>

Conclusions: A small increase in long-term exposure to PM2.5 leads to a large increase in COVID-19 death rate, with the magnitude of increase 20 times that observed for PM2.5 and all-cause mortality. The study results underscore the importance of continuing to enforce existing air pollution regulations to protect human health both during and after the COVID-19 crisis. The data and code are publicly available.

Ann Am Thorac Soc. 2019 Mar; 16(3): 321–330. doi: 10.1513/AnnalsATS.201810-691OCPMCID: PMC6394122PMID: 30398895

The Association between Respiratory Infection and Air Pollution in the Setting of Air Quality Policy and Economic Change

Daniel P. Croft,1Wangjian Zhang,2Shao Lin,2Sally W. Thurston,3Philip K. Hopke,4,5Mauro Masiol,4,5Stefania Squizzato,4,5Edwin van Wijngaarden,4,6Mark J. Utell,1,6 and David Q. Rich1,4,6

Conclusions: Increased rates of culture-negative pneumonia and influenza were associated with increased PM2.5 concentrations during the previous week, which persisted despite reductions in PM2.5 from air quality policies and economic changes. Though unexplained, this temporal variation may reflect altered toxicity of different PM2.5 mixtures or increased pathogen virulence.

URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394122/

Wuhan Air Pollution Protests

“China has made major progress on air pollution. Wuhan protests show there’s still a long way to go” by James Griffiths, CNN, July 10, 2020 (https://www.cnn.com/2019/07/10/asia/china-wuhan-pollution-problems-intl-hnk/index.html)

“Wuhan protests: Incinerator plan sparks mass unrest” Beijing Bureau BBC July 8, 2019 (https://www.bbc.com/news/blogs-china-blog-48904350)

“First Hong Kong protested. Now it’s Wuhan, China. What makes it Beijing’s latest headache?” By Robyn Dixon July 5, 2019 LA Times (https://www.latimes.com/world/la-fg-china-protests-wuhan-environment-20190704-story.html)

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

Corrected Pneumonia and Influenza Weekly Deaths Plot

Weekly Pneumonia and Influenza Death Numbers for 2020 and 2019 Compared

The updated plot is from a LibreOffice spreadsheet which can be downloaded at the link below. LibreOffice is a free, open-source alternative to Microsoft Office. It is available for Microsoft Windows, Mac OS X, and most flavors of Unix. It can be downloaded here.

The original data is from https://www.cdc.gov/flu/weekly/weeklyarchives2019-2020/data/NCHSData14.csv

The companion video for this article is at: https://youtu.be/DcjeKzmLjz8 and https://www.bitchute.com/video/LvKUWJOxcTSq/ The video is about sixteen minutes long. It is usually faster to read the written article than listen to the companion video.

I made a mistake copying the column of pneumonia and influenza deaths from early 2019 (weeks 1-13 of 2019 and weeks 50-52 of 2020) with LibreOffice Calc (the spreadsheet). The spreadsheet copied the macros in the cells instead of the number values. These macros were then applied to the columns to the left of the copied column, giving incorrect values that exaggerated the excess of deaths in comparable weeks last year (2019).

The actual excess is 1,841 more deaths in 2019, not about 6,000.

I was using the spreadsheet to make the results more accessible to a general audience. The copying error was consistent with the results from the more in-depth Python data analysis. In retrospect I should have checked the spreadsheet numbers more carefully.

Discussion

This does not change the conclusion that there is no sign of COVID-19 in the numbers until March 14, 2020 and a weak rise consistent with normal fluctuations in the weekly numbers in the final two weeks (March 14-28, 2020, weeks 12 and 13). It does reduce the size of the discrepancy between the two years. It remains possible that all the about 1,600 COVID-19 deaths reported as of March 28, 2020 could be conventional pneumonia and influenza deaths labeled as COVID-19 due to false positive RT-PCR tests and other misdiagnoses.

As I have discussed, there are strong reasons to doubt the CDC numbers. The most egregious I have found so far is the remarkable difference between the about 55,000 deaths from “influenza and pneumonia” in the leading causes of death tables (Table B, Page Six) and the about 188,000 deaths from “pneumonia and influenza” in the NCHSData14.csv file and other NCHSData<Week Number>.csv files.

An educated guess is that the 55,000 deaths from “influenza and pneumonia” is the output of a model the CDC uses to estimate the number of deaths directly or indirectly caused by “influenza viruses.” In the weekly pneumonia and influenza death numbers, the vast majority of deaths are listed as pneumonia and not the separate “influenza” category. Thus about 130,000 deaths appear to have been assigned to other categories in the final deaths for 2017 report, possibly “chronic lower respiratory diseases” which is the fourth (4th) leading cause of death. This is however a theory and CDC should carefully clarify what they are doing.

Accordingly, it is difficult to know what pre-processing or modeling/estimation may have been applied to the weekly pneumonia and influenza death numbers, although the commentary on the CDC web site implies these numbers are counts of death certificates and the causes of death on death certificates reported to the CDC by state and local authorities.

I am looking through the NCHSData<Week Number>.csv files to see how complete they may actually be. The FluView web page contains a table that seems to imply that all weeks except the very last week in the file are complete or almost complete. They use the label “> 100%” where > is presumably “greater than”. Of course, 100 percent usually means complete.

CDC “Percent Complete” Table (Misleading language at best)

There are many possible reasons for COVID-19 deaths not showing up in the weekly pneumonia and influenza death numbers before March 14, 2020 despite the Chinese coverup in December and early January, the US testing fiasco, the 430,000 visitors to the United States from China since the coronavirus surfaced, and the many asymptomatic carriers now being detected. These different possible reasons have different, even opposite in some cases, implications for public health policy.

Possible reasons include:

Despite the many problems above, the public health authorities have been remarkably successful in identifying nearly all COVID-19 deaths up to March 14, 2020. This seems too good to be true, but cannot be excluded.

The infection fatality rate (aka actual mortality rate) of the COVID-19 coronavirus is much less than early numbers such as 3.4 percent from the World Health Organization (WHO) or the 0.9-1 percent used by various authorities. Iceland, South Korean, Denmark and German data suggest about 0.5 percent mortality rate – which still could be higher than real rate.

Many COVID-19 deaths are due to aggressive treatment of the disease, e.g. intubation, rather than the disease alone.

The weekly pneumonia and influenza death numbers are substantially incomplete, due to normal delays or due to unusual delays associated with the crisis.

There has been a compensating drop in non-COVID pneumonia and influenza deaths due to shelter-in-place and taking it easy. Elderly and susceptible persons may have taken precautions in January and February due to the publicity, even before the shutdown in mid March.

Something else

Some combination of some or all of the above!

Conclusion

There is a remarkable lack of key measurements in the current coronavirus COVID-19 pandemic. These include the actual mortality rate (aka infection fatality rate) broken down by age, sex, race, pre-existing medical conditions, ambient temperature, sunlight levels, pollution levels, and other risk factors. The false positive and false negative rates of the tests for the disease, both the tests for an active infection such as the RT-PCR tests and tests for past infection such as the antibody tests. The methods and rates of transmission for the disease. Aerosol transmission probably occurs at least at a low level and is virtually unstoppable.

It is important to collect this data and measure these key parameters as quickly as possible in an open, “transparent” manner with multiple independent teams, not all funded or controlled by the CDC, as soon as possible to make good decisions based on knowledge and data, rather than fear, ignorance, and the primal fight or flight response.

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).