Vietnamese scientists develop COVID-19 early warning system

An early warning system for COVID-19 has been launched by the Institute of Prevention Medicine and Public Health (IPMPH) at the Hanoi University of Medicine.

The global early warning system on COVID-19 is available at http://covid19global.net. (Photo: VNA)
The global early warning system on COVID-19 is available at http://covid19global.net. (Photo: VNA)

Introduced yesterday, the system provides analyses on the disease threats and countries’ response abilities at http://covid19global.net.

Tran Xuan Bach, project leader, said the system was based on research results issued by an international network of experts on epidemiology and disease control as well as updated data released by reputable databases.

Besides counting infections, deaths and recoveries, it uses artificial intelligence to analyse and evaluate threats which may lead to outbreaks in different areas of the world in accordance with the characteristics of the novel coronavirus (SARS-CoV-2), collective behaviour and ecological factors.

“There are many factors, such as the number of people currently confirmed in each area, the level of interaction and mobility, population density, weather ,societal responsiveness and the disease control capacity of each country,” said Bach.

Input data allows the system to quantify the risks and speed of disease transmission. For example, it forecasts that risks outside China will outnumber those from mainland China.

Bach said the research results provide a dependable source of information for policymakers to discuss and closely collaborate with the group to come up with the most optimal control strategies.

Head of IPMPH Le Thi Huong expressed her hopes that the system would function as an innovative approach to fighting COVID-19.

According to the system, new infections may appear in Vietnam in March with the cities of Da Nang, Hanoi, HCM and Nha Trang among the most vulnerable areas. The probability has been rated at 21 percent, including 13 percent caused by risks from outside China.

Bach said response plans had to be developed for different locations, paying attention to local human resources, facilities and promoting civic engagement.

The institute is encouraging people to update the site.

The global early warning system can be tracked online with a system developed by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University at https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/85320e2ea5424dfaaa75ae62e5c06e61 and https://www.worldometers.info/coronavirus/.