By Erik Peper on March 11, 2020
The coronavirus which causes coronavirus disease 2019 (COVID-19) appears to be a highly contagious disease. Some older people and those who are immune compromised are more at risk. The highest risk are for older people who already have cardiovascular, diabetes, respiratory disease, and hypertension. In addition, older men over 80 years are much more at risk; however, the majority are smokers who have a compromised pulmonary system. Previous meta analysis showed that smoking was consistently associated with higher risk of hospital admissions after influenza infection. Nevertheless, it is reasonable to assume that over time all most all of us will become exposed to the virus, a few will get very sick, and even fewer will die.
The preliminary data suggests that most people who become infected may not even know they are infectious. The absolute risk that one would die of this disease is low although if you do become very sick it may be more dangerous than the normal flu; however, the fear of this disease may be out of proportion compared to other health risks. For detailed analysis and graphic summaries see the updated research reports on the Coronavirus disease (COVID-19) by Our World in Data[1] and Information is Beautiful [2]. These reports make data and research on the world’s largest problems understandable and accessible.
It is worthwhile to look at the absolute risk of COVID-19. To read that more than 4400 people world wide have died in the last two months is terrifying; however, it needs to be understood in context of the size of the population. The epicenter of this disease was Wuhan and Hubei Provence, China with a total population of about 60 million people. Each year about 427,200 people die in the Wuhan and Hubei Province (the annual death rate in China is 7.12 deaths per 1000 people). Without this new viral disease, about 71,200 people would have died during the same two month period. The question that has not been discussed is how much did the total death rate increase. Would it be possible that some of the people who died would have died of other natural causes such as the flu?
The World Health Organization (WHO) and governments around the world should be lauded for their attempt to reduce the spread of the virus. Just this week, the United States Congress allocated $8.3 billion dollars to fight and prevent the spread of COVID-19.
This funding will only partially prevent the spread of the virus because some people have no choice but to go to work when they are sick–they do not receive paid sick leave! This is true for about 30 percent of the American workers who have not coverage at work or the millions of self-employed workers (e.g. gig/freelance workers, waiters, cashiers, drivers, nannies, house cleaners).
To reduce the risk of the spreading COVID-19, anyone who feels sick or thinks they have been exposed, should receive paid sick leave so that they can stay home and self-isolate. The paid sick leave should be Federally funded and provide basic income for those whose income would be lost if they did not work. Although it is possible that a few people will cheat and take the paid sick leave when they are well, this is worth the risk to keep the rest of population healthy.
Personal and government responses to health risks are not always rational.
Funding for health and illness prevention is driven by politics. For example, gun violence results in more than 100,000 people being injured each year and more than 36,000 killed—an average of 100 per day. Gun violence is a much more virulent disease than COVID-19 and more than 1.7 million Americans have died from firearms since 1968.
The Federal Government response to this gun violence epidemic has been minimal. For the first time since 1996 did the 2020 federal budget include $25 million funding for the CDC and NIH to research reducing gun-related deaths and injuries.
It is clear that the government response does not always focuses its resources on what would reduce injury and death rates the most. Look at the difference in the national response to COVID-19 virus that has killed about 4400 people worldwide ($8.5 billion) as compared gun violence that kills 36,000 people a year in the USA ($25 million).
Be realistic about the actual risk of COVID-19 without succumbing to fear.
COVID-19 will most likely become a pandemic and I expect that most of us will be exposed to it this year. Hopefully, in the next 18 months an effective vaccine will be developed. In the mean time, there is no known treatment, thus optimize health and reduce the exposure to the coronavirus. Use the same precautions and treatment as you would do for the flu.
How to reduce exposure to the coronavirus
- Optimize your health and immune function by eating healthy, getting enough sleep, enjoying some exercise/movement and reducing stress.
- Increase social distance when with other people–greet people by bumping each others elbows or feet instead of a handshake or a kiss on the cheek.
- Wash your hands after touching surfaces that others may have touched or after going out for shopping, work, pleasure and/or meeting other people.
- Avoid touching your face especially your mouth, nose and eyes.
- Sanitize hard surfaces. Malia Jones, PhD, MPH points out that you can make your own inexpensive antimicrobial spray by mixing 1 part household bleach to 99 parts cold tap water. Spray this on surfaces and leave for 10-30 minutes. (Note: this is bleach. It will ruin your sofa).
- If you think you have the disease or have symptoms, contact your healthcare provider. Wear a mask and self-isolate to reduce spreading the virus to others.
Reliable information about COVID-19
To make sense of the danger of COVID-19, look at it in context to the flu. Depending upon the severity the flu, 9,000,000 to 45,000,000 people get sick from flu and between 12,000 to 61,000 die from its complications. as shown below in Figure 1.
This year the CDC estimates that there have been 20,000 to 40,000 deaths in the United States so far this year. For comparison that is a thousand times more deaths in the United States than have been blamed on the coronavirus so far.
[1] Our World in Data https://ourworldindata.org/coronavirus#citation
[2] Data is Beautiful https://informationisbeautiful.net/visualizations/covid-19-coronavirus-infographic-datapack/