Corona virus prevalence rates have increased around the world, and the United States and Israel have joined the list of countries with a high prevalence rate, but they use it with something other than medicine and hope.
With the number of infections in the Corona virus in Israel rising to over 1,200, the researchers predict where the virus will spread by analyzing responses to the questionnaires, using artificial intelligence.
After informing citizens about their health, the algorithms evaluate their responses to link symptoms to locations, and the results are then displayed on a map showing the locations of infected groups where the virus is spreading.
Public health care officials can use these ideas to focus on areas where the epidemic is likely to occur.
Israel already uses this system, according to the Weizmann Institute of Science which developed the algorithm alongside the Hebrew University in Jerusalem and the Israeli Ministry of Health.
"These questionnaires are the only tool that can provide a general picture of the virus spread throughout the country," said Wiseman Institute professor Iran Segal.
Online surveys collect basic demographic data, information about symptoms, current health problems, and isolation status.
About 60,000 people in Israel have already filled out this questionnaire, which was launched last week, and its early results reveal a noticeable increase in symptoms in places visited by patients who were infected with the virus.
Professor Segal confirmed that this method is not a substitute for testing the Corona virus, which Israel is expanding very quickly.
The United States and the supernatural computer
IBM is cooperating with the White House to provide supercomputing capabilities to help researchers stem the spread of the Corna virus, according to a source in the administration of US President Donald Trump.
A statement by IBM director of research, Dario Gil, stated that the company teamed up with the White House Science and Technology Policy Office and the US Department of Energy to launch a high-performance computing consortium for Covid-19 virus.
Supercomputing power will be available to help researchers develop predictive models for disease progression, and a model for potential new therapies or a potential vaccine.
Gill said: "High performance computing systems allow researchers to perform a very large number of calculations in epidemiology, bioinformatics and molecular modeling." These experiments will take years to complete if they are calculated manually, or months if they are dealt with on traditional computing systems.
The consortium will review research proposals from around the world, provide super-computing power for projects that can have an immediate impact, and technical assistance will be provided to researchers who use them.
Other partners in the new consortium include: the NASA, the Massachusetts Institute of Technology, the Rensselaer Institute of Applied Arts, the Lawrence Livermore National Laboratory, the Argonne National Laboratory, the Oak Ridge National Laboratory, the Sandia and Los Alamos National Laboratories, and the National Science Foundation.