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New Delhi, Fevb 10: Of the countries most at risk of importing coronavirus cases, India ranks 17th, researchers have found on the basis of a mathematical model for the expected global spread of the virus that originated in China's Wuhan area in December 2019.

So far, India has reported three coronavirus positive cases -- all from Kerala.

Among the airports in India, the Indira Gandhi International Airport in New Delhi is most at risk, followed by airports in Mumbai, Kolkata, Bengaluru, Chennai, Hyderabad and Kochi, according to the model.

The new model for predicting global novel coronavirus cases has been developed by researchers from Humboldt University and Robert Koch Institute in Germany.

"The spread of the virus on an international scale is dominated by air travel," said the study.

"Wuhan, the seventh largest city in China with 11 million residents, was the relevant major domestic air transportation hub with many connecting international flights before the city was effectively quarantined on January 23, 2020, and the Wuhan airport was closed. By then the virus had already spread to other Chinese provinces as well as other countries," it added.

The researchers said that it is possible to estimate how likely it is that the virus spreads to other areas by looking at air travel passenger numbers.

"The busier a flight route, the more probable it is that an infected passenger travels this route. Using these probabilistic concepts, we calculate the relative import risk to other airports. When calculating the import risk, we also take into account connecting flights and travel routes that involve multiple destinations," said the study.

The top 10 countries and regions at risk of importing coronavirus cases are: Thailand, Japan, South Korea, Hong Kong, Taiwan, USA, Vietnam, Malaysia, Singapore and Cambodia, according to the model.

While Thailand's national import risk is 2.1%, it is 0.2% for India, found the research.

The foundation of the model is the worldwide air transportation network (WAN) that connects approximately 4,000 airports with more than 25,000 direct connections.

The model accounts for both, the current distribution of confirmed cases in mainland China as well as airport closures that were implemented as a mitigation strategy.

This network theoretic model is based on the concept of effective distance and is an extension of a model introduced in the 2013 paper "The Hidden Geometry of Complex, Network-Driven Contagion Phenomena" published in the journal Science.

The current outbreak of the 2019-nCoV virus started in Wuhan city, Hubei province, China. While the first cases were reported as early as December 8, 2019, the outbreak gained global attention on December 31, 2019, when the World Health Organization was alerted to "several cases of pneumonia" by an unknown virus.

The new virus was soon identified as a novel coronavirus and named 2019-nCOV. It belongs to the family of viruses that include the common cold and viruses such as SARS and MERS. On January 20, 2020, it was confirmed that the coronavirus can be transmitted between humans, greatly increasing the risk of a global spread.

The death toll due to the novel coronavirus outbreak in China has increased to 811 on Sunday, surpassing that of the Severe Acute Respiratory Syndrome (SARS) epidemic in 2003.

Although about 20 countries have confirmed cases, China has accounted for about 99 per cent of those infected. The first foreign victims of the virus both died on Saturday in Wuhan.

New Delhi, April 3: The Government on Thursday launched a mobile app developed in public-private partnership as part of efforts to contain the spread of coronavirus.

"The app, called 'AarogyaSetu' will enable people to assess themselves the risk for their catching the coronavirus infection," an official release said.

It said that the app will calculate this based on their interaction with others, using cutting edge Bluetooth technology, algorithms and artificial intelligence.

"Once installed in a smartphone through an easy and user-friendly process, the app detects other devices with AarogyaSetu installed that come in the proximity of that phone. The app can then calculate the risk of infection based on sophisticated parameters," the release said.

It said that the app will help the government take necessary timely steps for assessing risk of spread of COVID-19 infection and ensuring isolation where required.

"The app's design ensures privacy. The personal data collected by the app is encrypted using state-of-the-art technology and stays secure on the phone till it is needed for facilitating medical intervention," the release said.

It said the app is available in 11 languages and has highly scalable architecture.

"This app is a unique example of the nation's young talent coming together and pooling resources and efforts to respond to a global crisis. It is at once a bridge between public and private sectors, digital technology and health services delivery," the release said.