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Peter Chew "Logical Science" System For Epidemics (Preprint)
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BACKGROUND
Lessons must be learned from the mistakes of the Covid pandemic. As we have seen, some countries are facing persistently high rates of covid-19 infection, but some countries such as China and South Korea can address the covid-19 problem when their country faces a surge in covid-19. This indicates that some countries facing persistently high infections may have used the wrong strategy, leaving them facing persistently high infections. The study will analyse what have been the main mistake since the Covid pandemic. Then create a system to solve the problem so that it can be used in future pandemic.
METHODS
Peter Chew’s "Logical Science" system focuses on logical review. The main purpose of the logical review part is to determine whether the guidelines are false. For non-medical treatment guidelines, if the logical review part determines that the guidelines are not false, real-world evidence is needed to determine whether the guidelines are correct. Similar to Mathematical Induction, The goal of the base case is to determine whether the statement (rule, formula, etc.) is false. If the sentence is not false, you need to continue to the second case, the inductive step determines whether the sentence (rule, formula, etc.) is true.
RESULTS
Using Peter Chew's "Logical Science" system, we can find wrong guidelines earlier. It can prevent continued practice of wrong guidelines, leading to persistently high infections. As we have seen, Director-general of the Chinese Canter for Disease Control and Prevention (CDC), George Gao said that in his view, a big mistake in the United States and Europe is that people do not wear masks. Therefore, early detection of wrong guidelines is important to reduce high infection rates. In fact, the important lesson we can learn from China’s response to the covid-19 surge is that China will not wait for study evidence to apply non-medical prevention, such as Wuhan compulsory wearing masks on January 22, 2020.
CONCLUSIONS
Prevention is better than cure. Instead of creating new medical treatment or vaccine for viruses or mutant viruses, it is better to create a system to prevent the spread of pandemic viruses.
As we have seen, China and South Korea managed to solve the covid-19 surge in their countries without using vaccines in 2020. Therefore, the epidemic prevention system must be able to detect any wrong guidelines faster to prevent the use of the wrong guidelines from causing widespread spread of the virus. For pandemics, waiting for research evidence to implement non-medical prevention strategies is a big mistake, because the prime time to reduce the spread of the virus has been missed. It takes time to generate research evidence, and follow-up peer review also takes time, so the process of peer review research evidence allows the virus to spread widely, and some mutations may occur, making virus prevention more difficult to deal with.
Title: Peter Chew "Logical Science" System For Epidemics (Preprint)
Description:
BACKGROUND
Lessons must be learned from the mistakes of the Covid pandemic.
As we have seen, some countries are facing persistently high rates of covid-19 infection, but some countries such as China and South Korea can address the covid-19 problem when their country faces a surge in covid-19.
This indicates that some countries facing persistently high infections may have used the wrong strategy, leaving them facing persistently high infections.
The study will analyse what have been the main mistake since the Covid pandemic.
Then create a system to solve the problem so that it can be used in future pandemic.
METHODS
Peter Chew’s "Logical Science" system focuses on logical review.
The main purpose of the logical review part is to determine whether the guidelines are false.
For non-medical treatment guidelines, if the logical review part determines that the guidelines are not false, real-world evidence is needed to determine whether the guidelines are correct.
Similar to Mathematical Induction, The goal of the base case is to determine whether the statement (rule, formula, etc.
) is false.
If the sentence is not false, you need to continue to the second case, the inductive step determines whether the sentence (rule, formula, etc.
) is true.
RESULTS
Using Peter Chew's "Logical Science" system, we can find wrong guidelines earlier.
It can prevent continued practice of wrong guidelines, leading to persistently high infections.
As we have seen, Director-general of the Chinese Canter for Disease Control and Prevention (CDC), George Gao said that in his view, a big mistake in the United States and Europe is that people do not wear masks.
Therefore, early detection of wrong guidelines is important to reduce high infection rates.
In fact, the important lesson we can learn from China’s response to the covid-19 surge is that China will not wait for study evidence to apply non-medical prevention, such as Wuhan compulsory wearing masks on January 22, 2020.
CONCLUSIONS
Prevention is better than cure.
Instead of creating new medical treatment or vaccine for viruses or mutant viruses, it is better to create a system to prevent the spread of pandemic viruses.
As we have seen, China and South Korea managed to solve the covid-19 surge in their countries without using vaccines in 2020.
Therefore, the epidemic prevention system must be able to detect any wrong guidelines faster to prevent the use of the wrong guidelines from causing widespread spread of the virus.
For pandemics, waiting for research evidence to implement non-medical prevention strategies is a big mistake, because the prime time to reduce the spread of the virus has been missed.
It takes time to generate research evidence, and follow-up peer review also takes time, so the process of peer review research evidence allows the virus to spread widely, and some mutations may occur, making virus prevention more difficult to deal with.
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