The seven Drake equations are used to estimate the number of intelligent civilizations in the galaxy. Although humans have not yet discovered any aliens, the famous mathematical equation now serves humans in another way: estimating the probability of the spread of COVID-19.
According to a new study in the scientific journal Fluid Physics, this equation has been used to inspire a new model, the infectious airborne (CAT) inequality, to determine whether someone is likely to “catch up” with COVID-19 .
Research co-author, Johns Hopkins University professor Rajat Mittal said in an article: “There is still a lot of confusion about the transmission of COVID-1
Lonely human in the universe
CAT inequality breaks down the risk of transmission into 10 variables, including the respiratory rate of the infected and uninfected, the number of virus-carrying droplets discharged, the surrounding environment, and the exposure time of the exposed person. The statement added that after multiplying these inputs, “the likelihood of an individual being infected with COVID-19 can be calculated.”
In contrast, the Drake equation includes factors such as stars and their planets, and the average number of planets that can sustain life. Other factors include a small part of the planet that can develop life, and a small part of these civilizations that have become smart.
Research co-author Charles Menivio added: “The CAT inequality is particularly useful because it transforms the complex fluid dynamics transmission process into simple, easy-to-understand terms.” “As we have seen, in today’s public In health and environmental crises, clear communication of scientific knowledge is essential.”
Researchers also estimated the risks in certain situations, including when people exercise or wear masks or not. Mittal said that when moving in a confined space, researchers found that the risk of transmission “increased 200 times.”
Conversely, if people wear N95 masks, the risk of transmission is reduced by 400 times, or the risk of someone contracting the virus is less than 1%. The researchers’ model found that cloth masks also “greatly reduce the possibility of transmission.”
Social distance also has a “linear correlation” with risk, which means that if you double the distance between an infected and uninfected person, the risk will be reduced by half.
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