Abstract
A ribonucleoside analog MK-4482/EIDD-2801 blocks SARS-CoV-2 transmission in ferrets and might be able to diminish transmission until vaccineinduced or naturally acquired protective herd immunity is reached [1]. As skinner pointed out, behavioral problems have to be solved through behavioral engineering [2]. Cybernetics has full application in the present condition. As in alcohol consumption, smoking, drugs, gun crimes, wars, and sexually acquired diseases, the teleological Aristotelian causes are not tobacco, drugs, and any other issue, but the aberrant behavior. The situation is not trivial and involves non-classic logic and other mathematical logics [3,4]. The neural topography corresponds to the nucleus accumbens. The latter is the battlefield, and the subject’s obsession is the rise of the neurotransmitter dopamine [3,4]. In general, people are very demanding from their governments; nevertheless, at the same time, they are deeply tolerant with their aberrant behavior promoting the dissemination of the SARSCoV-2 [4,5]. This paper examines how to deal with this problem from a scientific perspective, considering probability methods and classical and doxastic logic, using the Parsimony Principle aiming to reach immunity by minimizing the inoculum.
Highlights
Many researchers think that the crucial question for controlling and managing a Covid-19 pandemic is: What is the probability that a patient with a specific set of symptoms or signs has Covid? [6,7]
The last questions are related to multidisciplinary areas, mainly: Aristotelian, Modal and Doxastic logic for analyzing the belief of citizens and different groups of the country, and for determining how to handle aberrant behavior of people, media, and government
We present the efficient policy around the world by the simple expedient of behavioral modification to diminish the amount of the inoculum and control the pandemic
Summary
Many researchers think that the crucial question for controlling and managing a Covid-19 pandemic is: What is the probability that a patient with a specific set of symptoms or signs has Covid? [6,7]. The last questions are related to multidisciplinary areas, mainly: Aristotelian, Modal and Doxastic logic for analyzing the belief of citizens and different groups of the country, and for determining how to handle aberrant behavior of people, media, and government. Virology and immunology behavioral engineering economics; Bayes methods for evaluating the probability of different scenarios; combinatorics, optimization, machine learning, and deep learning, and several artificial intelligence areas to evaluate and estimate different scenarios, and deep learning of medical advances in the field. Most of the articles about the Covid-19 do not consider the real problem related to the last issues, but only how to measure the phenomenon, describe the situations, or present medical advances, such as new procedures or vaccines. The present article deals with these issues, aiming to determine the best measures for controlling the pandemic. We present the efficient policy around the world by the simple expedient of behavioral modification to diminish the amount of the inoculum and control the pandemic
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