Where are the workers? Some scientists think many died from COVID-19



Millions of older working people died due to COVID-19 without their deaths being counted. Much more than 20 millions of people have died during a course of COVID-19.

“The baby boomers didn’t just quit work, COVID-19 slaughtered much of the active part of the elderly population. It also took its toll on the younger workers who went to work scoffing at infection mitigation, and then off to a large demonstration in a city like Toronto or Ottawa, angry that they were being told to wear a mask,” says Dr. Kathy Poon, interning with the Civil Society Partners against COVID-19 tracking team in Singapore.

On 23 July 2022, 19,253,753 was total global deaths (CSPaC.net estimated actual) due to COVID-19. That estimate is an educated guess based on unreported public health units  including errors, and unreported likely-cause excess deaths such as people who never went to a hospital but had COVID-19 indications but never tested. Other estimates are as high as doubling that number.

The workers in the range of  50-64 years of age are 25x more likely to die during the course of COVID-19 disease.

See The Lancet estimate of excess mortality from COVID-19 (Download PDF) in 191 countries/territories and 252 subnational units of select countries, from 1 January 2 0 2 0, to 31 December 2 0 2 1.

Some people blame the baby boomers for the dearth of workers today. “Junk science,” says Dr. Fred Harris, team lead of the the Civil Society Partners against COVID-19 tracking team in Singapore.

“It’s the slowest-moving train on the planet. It was predictable 60 to 65 years ago, and we have done nothing about it,” said Armine Yalnizyan, an economist and Atkinson Fellow on the Future of Workers who spoke to the Canadian Broadcasting Corporation. “We knew this transition was going to happen.”

WHO estimates that between 80,000 and 180,000 health and care workers could have died from COVID-19 in the period between January 2020 to May 2021, converging to a medium scenario of 115 500 deaths.

Compared to the reference group of 18-29 years of age, baby boomers are 25 times to 330 times more likely to die in the course of COVID-19 according to CDC.

  • 30-39 years of age: 4X more likely to die in the course of COVID-19.
  • 40-49years of age: 10X more likely to die in the course of COVID-19.
  • 50-64years of age: 25x more likely to die in the course of COVID-19.
  • 65-74 years of age: 60x more likely to die in the course of COVID-19.
  • 75-80 years of age: 140X more likely to die in the course of COVID-19.
  • 85+ years of age: 330X more likely to die in the course of COVID-19.

Rates of death from COVID-19 Among Seniors and middle aged

Rates of death from COVID-19 Among Seniors and middle aged. Data is from the United States Centers for Disease Control (CDC) Art/Cropping/Enhancement: Rosa Yamamoto FPMag

September 24, 2022 COVID-19 Data for The Entire World from CSPaC


254 Locales report 618,775,595 COVID-19 cases of which there are 13,062,937 active cases, therefore 599,155,510 recoveries and 6,557,148 fatalities.


GMT 2022-09-23 22:57

Data reported should be in accordance with the applied case definitions and testing strategies in each locale as their governments report daily or from time to time. All data researched and published by The RINJ Foundation and partners in CSPaC.

©The RINJ Foundation 2020-2022-09-23T22:57:20Z Singapore-SK-HUK-77
RINJ is with Civil Society Solidarity Partners against COVID-19.

SARS2 Update 2022-09-23 22:57 GMT

  • Global Population: 7,909,650,599
  • 254 Regions reported 618,775,595 cases
  • 13,062,937 cases active
  • 6,557,148 people reported killed by COVID-19
  • 1.06% is current Case Fatality Rate (CFR)
  • 599,155,510 survived COVID-19
Beta Technology Global Estimates
  • 43.26% of all humans (3,421,829,040) have been infected
  • 0.57% Global estimated inferred average Infection Fatality Rate (IFR)
    (influenza is .1% or 6 per 100k (2019))
  • 19,664,558 Total deaths (CSPaC.net estimated actual) including errors, unexpected deaths with pneumonia indications with no history, and unreported likely-cause excess deaths such as people who never went to a hospital but had COVID-19 indications but never tested.

See The Lancet estimate of excess mortality from COVID-19 (Download PDF) in 191 countries/territories and 252 subnational units of select countries, from 1 January 2 0 2 0, to 31 December 2 0 2 1.

USA (97,258,206)
  • 160.12% of the USA may have been infected including reported + estimated unreported mild and estimated asymptomatic (530,909,259.23) persons, some of whom may not have been ill in their first course of the disease, but could have spread the disease.
  • 1.12% is USA current Case Fatality Rate (CFR)&
  • 0.25% is estimated inferred average Infection Fatality Rate (IFR)
  • 1,327,273 estimated total COVID-19 deaths including unreported likely-cause excess deaths. According to projections of IHME, IHME calculation of excess deaths is slightly higher than what CSPaC is showing.

See The Lancet estimate of excess mortality from COVID-19 (Download PDF) in 191 countries/territories and 252 subnational units of select countries, from 1 January 2 0 2 0, to 31 December 2 0 2 1.

The American Epicenter has 13.86 % of global 'active' cases (1,810,028 USA / 13,062,937 Global), people infected with COVID-19 now.

Below: CSPAC estimated 2022-09-23 20:21 GMT COVID-19 data for India.

EPICENTER-2: India (44,558,425)

Reported*Cases*Deaths*CFR*Recovered
India44,558,425528,4491.2%43,984,695
*Reported by India but understated.

Note: India's reported death sum and cured data are widely seen among epidemiologists and biostatisticians as unreliable. For example, 3,064,951 is CSPAC estimated sum of deaths while India reports 528,449, creating the largest discepency in the world. India might only report hospital tested cases. Sources among hundreds of nurses and other medical practitioners provide a picture that in summary concludes most cases never present in a hospital especially in northern provinces where health care is less available and utilization is low anyway because of poverty, hence most people die at home in India. This theory could explain discrepancies between reported data and algorithmic estimates.

LocaleCasesDeathsActive
India reported:44,558,425528,44945,281
India estimates:246,408,0903,064,951107,775

Data collected and reported by: Civil Society Solidarity Partners against COVID-19