Religious procession on Milad-Un-Nabi not prohibited: UP cops

Kochi, Apr 24: The central government on Thursday submitted a statement in the Kerala High Court on the three petitions challenging the contract between Kerala government and US-based data analytics company Sprinklr.

Assistant Solicitor General P Vijayakumar filed the statement on behalf of the central government, which is the second respondent in the case.

The statement said that the contract between the Kerala government and Sprinklr dilutes the rights of the people. It stated the contract does not specify the amount of compensation that individuals should receive in case of breach of privacy or misuse of information.

It also said that it was not clear whether the information was collected and handed over to the data analytics firm with full consent of the patients (suspected and otherwise).

''It is always preferable to utilise the services available in the government sector for sharing sensitive data required for analytical purposes.

The Government of India has introduced the 'Aarogya Setu' application for collection of health data and about seven crore Indian citizens have already downloaded the same. All the state governments are advised to promote the said application for fighting the pandemic," the statement said.

It was further submitted that the "Government of India with the support of NIC is capable of providing all the requirements relating to data storage, processing and application which are being offered the third respondent, if a request to that effect comes from the state government."

Kerala Congress leader Ramesh Chennithala and BJP state president K Surendran had earlier approached the Kerala High Court seeking cancellation of the state government's agreement with Sprinklr for processing of data related to COVID-19 patients.

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.