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Lucknow, Jan 12: The controversy over renowned Pakistani poet Faiz Ahmad Faiz's iconic poem 'Hum dekhenge' may have caused an upheaval in the literary world but it has also helped in resurrecting the famous poet for the young generations.

Students and young professionals are making a beeline for books on Faiz, his biography and his poems and book sellers are ordering supplies of Faiz books.

"Earlier, we sold hardly one book in a month or on Faiz but after the controversy, people are curious to know more about the poet and his poems. We have placed orders for the entire literary range on Faiz Ahmad Faiz," said a leading book seller in Hazratganj in Lucknow.

The bookseller said that the highest demand was for books written in Devnagri script.

"Not many in the young generation can read or write Urdu so they prefer Devnagri," the book seller said.

In Kanpur, most of the leading bookshops have already run out of stocks and book stalls in the ongoing Handloom Expo are drawing huge crowds for Faiz books.

Suchita Srivastava, B.Ed student in Kanpur said, "I have never been fond of Urdu poetry because I do not understand much of the language but after the controversy, I want to read poems of Faiz to understand what he wanted to say. I am taking help of Google to understand difficult words in Urdu."

Krishna Rao, another student at the Chandra Shekhar Azad University of Agriculture and Technology, said that since books on Faiz had been sold out, he had ordered a Kindle edition and was reading them.

"Reading his poems actually widens one's perspective of things and becomes even more precious if you take into account the time and context in which they were written," he said.

Thiruvananthapuram, Jun 24: Kerala on Tuesday was among those honoured for tackling the Covid-19 pandemic when the United Nations celebrated the Public Service Day.

The function, held on a virtual platform, saw the participation of UN Secretary General Antonio Guterres and other top UN dignitaries who applauded all the leaders which included state Health Minister K.K. Shailaja for effectively tackling Covid-19.

Speaking on the occasion, Shailaja noted that the experiences of tackling Nipah virus and the two floods - 2018 and 2019 - where the health sector played a crucial role, all helped in tackling Covid-19 timely.

"Right from the time when Covid cases got reported in Wuhan, Kerala got into the track of the WHO and followed every standard operating protocols and international norms and hence, we have been able to keep the contact spread rate to below 12.5 per cent and the mortality rate to 0.6 per cent," she said.

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.