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Death Rate Correlation Between Antibody Tests & Covid-19

Death Rate Correlation Between Antibody Tests & Covid-19

Get information on the mortality cases reported so far. Learn about how antibody testing correlates with a lower fatality rate.

The novel coronavirus caught the world by surprise. The number of deaths resulting from the virus seemed to skyrocket with every passing day when the virus had just been discovered, with China, the UK, and Italy recording the highest mortality. 

Today, the total number of Covid-19 stands at 362,811. Initially, the virus appeared to be extremely fatal. It is worth noting that in the first few months of the emergence of the virus, there were not enough rapid antibody test kits. Thus the interpretation of the mortality rate may have been done wrongly. At this point, more companies producing antibody test kits have been approved, making it possible to gather enough data to understand and tackle the virus.

The first revelation is that the virus is more common and less severe than it has been presumed. The tests focus on detecting antibodies in the blood of individuals as opposed to focusing on the manifestation of the symptoms of the virus. This is what antibody testing has brought to light regarding the mortality of Covid-19.

1. The actual mortality

Through the data collected, it has been established that the mortality rate is lower than it had been thought. Based on the calculations that had been done before, more antibody tests were done, the fatality was 5%. The current rate falls below 1%. 

The reason for these numbers is the calculations were based on people who had the virus detectable in their system. This means that the actual fatality rate would be demonstrated if all infections were included, even the undetectable cases. This explains why the mortality rate was initially thought to be high. 

2. The only infections considered were for people sick enough to be tested

The data used to calculate the fatality of the virus was skewed. According to different studies, the subjects included only sick people with advanced symptoms. The number of people being tested in the US has increased, and the statistics are quite impressive. It has been discovered that quite a large number of people in the US were infected, but the symptoms were mild and did not need hospitalization. If these cases had initially been included in the calculations, a lower mortality rate would have been expressed. 

3. Indiana State Department of Health tests for virus and active infections

At the beginning of the month April, Menachemi led a study which tested a group of 4,600 people. The participants were selected randomly to participate in a test which was to investigate active infections and the presence of the virus. The virus test was geared at finding out whether the participants had active infections. The second test was to look for antibodies in the patient’s blood. This would then help to single out people who had been infected but recovered. 

The study results showed that 3% of the state’s population had already been infected. The statistics are different from the ones that had previously been done. The difference is that previous tests were selective, and only done on people who showed symptoms. The subsequent test led by Menachemi had random participants. 

The results indicated that 11 times more people had been infected compared to the results of the conventional studies. More so, 45% of the people who get infected by the virus may not show any symptoms, even the mild ones. This study sheds a lot of light on the fatality of coronavirus.

4. Antibody tests are less accurate if conducted in low prevalence populations

It is obvious how the results of this study would turn out. In populations where the prevalence is low, it would be hard to find the ideal test subjects. The study would bring about better estimates if the participants were highly likely to be infected. In low-prevalence populations, you might not get adequate data to compare the infection rate and the mortality cases. As such, the results may be skewed. In most instances, an underestimation of the fatality rate may happen.

5. Studies show that fatality varies with age

In other studies, it was established that the chances of a young person dying from Covid-19 were 1 out of 1,000. For older people aged 90 and above, the chances of mortality are more than 1 out of 10. Older adults had a higher fatality risk. Studies have also shown that people with certain underlying medical conditions were also at risk. 

These have been the initial developments regarding the fatality of coronavirus. The average fatality rate across different populations is about 0.5% and does not exceed 1%. More studies are underway to get a more precise estimation of the rate of infections and mortality. These studies may go up to 2022, and wrap up after a statistically significant population has been tested. 

Paul Singh, MHA, BA

​Covid Antibody Diagnostics​™

A Natures Body Wellness Corporation, Lake Mary FL 32746 

Find us on Google under Antibody Diagnostics

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