Development of coronovirus in the country depends on quarantine
Scientists at the Massachusetts Institute of Technology have created a model for the dependence of COVID-19 incidence rates on quarantine measures based on artificial intelligence. For modeling, researchers linked two fields: machine learning and epidemiology.
The results of the study disproportionately indicate that countries that have taken prompt government intervention and strict public health measures regarding quarantine and segregation are capable of preventing the spread of infection and its development rapidly.
Whereas in Italy and the USA, where authorities delayed introducing quarantine, the disease was far more difficult to prevent. Now the number of infected in the United States should be more than 600 thousand, so that the infection is minimized at least.
“This is a really important point. The study states that quenching quarantine measures can lead to disaster.
Experts also investigated the example of Singapore. The second wave of virus infection that this country faced after weakening quarantine confirmed the scientists’ findings: the incidence rate depends on restrictive measures.
Summary PAYSPACE magazine
Recall that artificial intelligence firm Dataminar predicted that the next outbreak of coronovirus cases would occur in Britain and the US, where messages on social networks would be analyzed.
The increase in the number of eyewitnesses in the area and patients with information on social networks allowed the AI algorithm to identify hot spots 7–15 days before the exponential rise of coronovirus infection. The program also predicted future outbreaks in 14 different states of the United States, one week after all AI calculations were corrected.
Read: Epidemic consequences: Top-5 of new technological trends that persist after quarantine.
By content: MIT