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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.

Kochi, May 5: India has sent three naval ships to evacuate its citizens stranded in the Maldives and UAE due to the COVID-19 pandemic, a defence spokesperson said in the early hours on Tuesday.

INS Jalashwa deployed off Mumbai coast, along with INS Magar, diverted for Maldives on Monday night, he said.

While INS Shardul diverted to Dubai to evacuate the expatriates, the spokesperson added.

The three ships will return to Kochi, he said.

INS Magar and INS Shardul are Southern Naval Command ships, while INS Jalashwa is from Eastern Naval Command.

Noida, May 6: Not having Aarogya Setu app on smartphone while out in public in Noida or Greater Noida will be considered a violaton of lockdown rules and the person will be punished.

Action will also be taken against people going outdoors without a face mask or spitting in public places, Gautam Buddh Nagar police said, news agency reported.

Aarogya Setu is a mobile application developed by the central government to connect essential health services with the people to fight Covid-19.

The app is aimed at augmenting the initiatives of the Centre, particularly the Department of Health, in proactively reaching out to and informing the users of the app regarding risks, best practices and relevant advisories pertaining to the containment of Covid-19.

"If smartphone users do not have the 'Aarogya Setu' app installed on their mobile phones, then that will be punishable and considered a violation of the lockdown directions," Additional Deputy Commissioner of Police, Law and Order, Ashutosh Dwivedi said.

The district police had on Sunday announced extending the Criminal Procedure Code section 144, which bars assembly of four or more people, till May 17, as the central government extended the nationwide lockdown by another two weeks in a bid to check the spread of the virus.

"Spitting in public places will attract punishment along with a fine. Not wearing a face mask in public places or offices will also be a punishable offence.

During the lockdown period, political, social, religious, sports gatherings as well as protest marches and rallies will remain banned across Noida and Greater Noida, the official said in the order.

"The central government has extended the lockdown till May 17 in view of the coronavirus pandemic. Gautam Buddh Nagar has been identified as 'red zone' and hotspots have been identified here. During this duration, all guidelines of the lockdown are to be followed," he said.

Gautam Buddh Nagar, which falls in the 'Red Zone', has 34 containment zones and has recorded 179 positive cases of coronavirus so far, with 102 of these patients being cured and discharged from hospitals, according to official figures.