Cong's high-profile losers in Uttarakhand

Agencies
May 24, 2019

Dehradun, May 24: Senior Congress leaders Harish Rawat and Pritam Singh who lost from Nainital and Tehri Lok Sabha seats, respectively were the two most high-profile disappointments for the party in Uttarakhand.

The two, on whom the party had pinned all hopes of lifting its sagging fortunes after the rout of 2014 Lok Sabha election and 2017 assembly polls, could not hold out against the saffron surge which swept all the five seats in the state once again.

Far from winning, the duo could not even give much of a fight to their BJP opponents who won by more than three lakh votes.

Singh went down to BJP sitting MP from Tehri Mala Rajya Laxmi Shah while Rawat lost to Pradesh BJP president Ajay Bhatt, a Lok Sabha poll debutante who made it for the first time to Parliament.

Even personally it was a do-or-die battle for Rawat who had lost both the seats he had contested in the 2017 state assembly polls and a win at this juncture would have given him a new lease of life, a political analyst here said.

Given his edge over Bhatt in terms of experience and political stature, the Congress was optimistic about his win in Nainital but Rawat lost more tamely than expected, he said.

Having lost in both assembly and Lok Sabha polls, the road ahead for Rawat looks bleak, he added.

Pritam Singh's task was more difficult as he was pitted against sitting MP Mala Rajya Laxmi Shah who was seeking a third term.

Moreover, being a member of the erstwhile Tehri royal family gave her an insuperable advantage of having a loyal support base in the constituency.

Singh's influence on the other hand was confined to tribal pockets of the constituency. However, Singh has something to fall back on as he represents the Chakrata seat in the state assembly besides heading the PCC.

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News Network
April 11,2020

Malappuram, Apr 11: Farmers in Malappuram district are facing problems in selling cucumbers and watermelons due to the drop in demand and prices in the market amid the nationwide COVID-19 lockdown.

"We have cultivated cucumbers for our Vishu festival in Kerala. In recent conditions, we are facing issues in selling our crops. In comparison to the previous years, we have a huge production this time," said Saifu, a farmer in the Malappuram district.

"We have also cultivated different kinds of watermelons here. The major issues that we are facing are the low prices and the lockdown," he added.

The nationwide COVID-19 lockdown was imposed by Prime Minister Narendra Modi form March 25 for 21 days as a precautionary measure against the spread of the virus.

According to the Union Ministry of Health and Family Welfare, the total number of positive COVID-19 cases in Kerala is 364. Till now, 123 people have either been cured or discharged, while two deaths have been reported.

The total number of positive coronavirus cases across the country are 7,529 including 6,634 active cases. So far, 652 patients have either been cured or discharged while 242 deaths have been recorded in the country, as per data provided by the Ministry of Health on Saturday evening.

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News Network
July 2,2020

New Delhi, Jul 2: India's COVID-19 tally breached the 6 lakh cases mark with 19,148 new coronavirus cases being reported in the last 24 hours, informed the Union Ministry of Health and Family Welfare on Thursday.

The total cases now stand at 6,04,641 of which there are 2,26,947 active cases while 3,59,860 patients have been cured/discharged/migrated.

434 deaths have been reported in the last 24 hours taking the number of COVID-19 deaths in the country to 17,834.

Maharashtra, the worst-hit state, has a total of 1,80,298 cases including 8,053 fatalities. Meanwhile, Tamil Nadu has 94,049 cases inclusive of 1,264 deaths.

Delhi has 89,802 coronavirus cases including 2,803 deaths.

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Agencies
February 10,2020

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.

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