Nobel laureate scientist Michael Levitt claimed that the coronavirus epidemic has slowed in China and will no longer pose a threat to the majority of people. “The proportion of those infected in the Hubei region increased by 30% every day, this was a scary statistic. I’m not a flu expert, but I can analyze numbers and this is exponential growth,” Levitt said. According to Levitt, if the spread of the virus continued to increase at the same rate, the whole world could be infected within 90 days, but Levitt continued to process the data and realized that the pattern had changed. When looking at the statistics on February 1, Levitt says there are 1,800 new cases per day in the Hubei area. On February 6, this number reached 4,700 a day, but on February 7 the situation changed. ‘The end of the coronavirus epidemic is coming’ Levitt said, “The number of new infections began to decrease linearly, did not stop. A week later the same happened in the number of dead. This dramatic change in the curve marked the median point and allowed a better estimate of when the outbreak would end.” I came to the conclusion that the situation will improve in two weeks. ” Levitt likened the situation to decreasing interest rates and said: “Even if the interest rate continues to decrease, you earn money. The part you invest does not decrease, it just keeps growing slower. When it comes to diseases, this scares people because they continue to hear new cases every day, but the truth is that the infection rate is slowing, which means we’re close to the end of the outbreak. ” Taking his predictions a step further, Levitt predicts that the virus will probably disappear in China at the end of March, but reducing the quarantine and social contact is not the only factor affecting the outcome, according to the Nobel laureate scientist. In Wuhan, where the virus first appeared, theoretically the entire population was at risk of becoming infected, while only 3% of the population was affected by the virus. Levitt also added that the high mortality rates in Italy are due to the fact that older people make up an important part of the population.
