Gush Dan Neighborhoods: Average COVID-19 associated symptoms region map. City municipal regions with at least 30 responders and neighborhoods with at least 10 responders are shown. Each region is colored by a category defined by the average symptoms ratio, calculated by averaging the reported symptoms rate by responders in that city or neighborhood. Green – low symptoms rate, red – high symptoms rate

A method for monitoring, identifying, and predicting the coronavirus’s spreading zones, which was initiated and developed by scientists from the Weizmann Institute of Science in collaboration with researchers from The Hebrew University of Jerusalem and Clalit Health Services, and in coordination with the Ministry of Health, has attracted considerable international interest. Additional governments have now begun to implement the method, which is based on questionnaires for the general public and on the analysis of the data obtained from them. The questionnaires track the development of virus-induced symptoms, and the analysis relies on Big Data algorithms and artificial intelligence. Viral spread occurs in clusters of infection; thus, early identification of clusters may facilitate various actions aimed at slowing down the spread of the virus.

A pilot project, launched in Israel about one week ago by the Institute’s Profs. Eran Segal and Benjamin Geiger and Prof. Yuval Dor from The Hebrew University, has received remarkable public response, with some 60,000 Israelis filling the questionnaires to date. Preliminary data analysis led the scientists to detect a significant increase in symptoms reported by the public in areas where verified patients are known to have passed. This accurate, neighborhood-level mapping may enable the health authorities to concentrate on areas in which an outbreak and spread of the virus is predicted – while allowing them to ease measures in areas where an outbreak is not expected.

Entire map of Israel

“These questionnaires are the only tool that can present a general picture of the virus’s outbreak across the country. It is important to note that they are not intended to replace the efforts of increasing the number of tests to identify patients and carriers,” says Prof. Segal. “However, tests can never cover the entire population – due to both logistic and economic constraints. We believe that our method may provide the Ministry of Health a strategic tool for tackling the crisis.”

Together with Prof. Ran Balicer of the Clalit Research Institute and additional researchers, the scientists have continued the development and recently published an article on the MedrXiv site about the method, calling on other countries to implement it. Numerous countries, including the U.S., India, Luxembourg, Malaysia, Spain, Germany, Italy, and Britain, have also started adopting the questionnaire method. The scientists are currently working to establish a global forum, led by Prof. Segal and other researchers from the United States, with the goal of sharing data and insights and building prediction and comparison tools together.

Below is a link to questionnaires in five languages:

http://predict-corona.org

It should be noted that the questionnaire does not diagnose coronavirus infection. In addition, the questionnaire is anonymous and all data will be used only for the purpose of monitoring the spread of the virus. The scientists are taking all possible means to maintain the respondents’ privacy and information security.