Obama accepts PM Modi's Republic Day invitation

New Delhi, Feb 11: Votes between Hindus and Muslims were ''completely polarised'', said Congress party's Alka Lamba, as she trailed at Chandni Chowk assembly seat on Tuesday.

"I accept the result, but don't give up. Hindu-Muslim votes were completely polarised. The #Congress Party will now have to prepare for a new fight with new faces and a long struggle for the people of #Delhi. If you fight today, you will also win tomorrow," Ms. Lamba tweeted in Hindi.

As per the Election Commission (EC) website, Ms. Lamba is in third position with just 1,229 votes so far. AAP's Parlad Singh Sawhney is ahead with 23,281 votes followed by Suman Kumar Gupta of BJP.

Ms. Lamba, who had won from Chandni Chowk on an AAP ticket in the 2015 polls, was expelled from AAP last year after she joined Congress, citing differences with Delhi Chief Minister Arvind Kejriwal.

As per the EC official trends, AAP is maintaining a strong lead on 58 seats, while the BJP is far behind at 12. Congress has failed to open its account so far.

The counting of votes for 70 seats of the Delhi Assembly began at 8 am today amid tight security.

Delhi went to polls in a single-phase on February 8. AAP, BJP, Congress are the main political parties in the fray.

New Delhi, Apr 17: With 1,076 new cases of COVID-19 in the last 24 hours and 32 deaths, India's total count of coronavirus cases has surged to 13,835, said the Union Ministry of Health and Family Welfare on Friday.

The total cases are inclusive of 1,766 cured and discharged patients, one migrated and 452 deaths. At present, there are 11,616 active COVID-19 cases in the country.

Before the lockdown, the doubling rate of COVID-19 cases was about three days, but according to the data of the past 7 days, the doubling rate of cases now stands at 6.2 days, said Lav Aggarwal, Joint Secretary, Health and Family Welfare.

"Before the lockdown, doubling rate of COVID-19 cases was about three days but according to the data of past 7 days, the doubling rate of cases now stands at 6.2 days," Aggarwal said during the daily briefing on COVID-19.

Aggarwal said that as many as 5 lakh rapid antibody testing kits are being distributed to States and Districts where a high case burden has been observed.

"A total of 1,919 dedicated COVID-19 hospitals with 1.73 lakh isolation beds, 21,800 ICU beds readied in India," he added. 

New Delhi, Apr 11: Calling upon chief ministers to popularise Aarogya Setu app, Prime Minister Narendra Modi on Saturday said it will an essential tool in India's fight against coronavirus and referred to the possibility of the app being an "e-pass which could subsequently facilitate travel from one place to other".

Interacting with chief ministers through video conference, the Prime Minister mentioned how South Korea and Singapore had got success in contact tracing and said India has made its own effort through the app amid efforts to contain the spread of coronavirus.

A PMO release said that the Prime Minister spoke about popularizing the Aarogya Setu app to ensure downloads in greater numbers.

"He referred to how South Korea and Singapore got success in contact tracing. Based on those experiences, India has made its own effort through the app which will be an essential tool in India's fight against the pandemic, he said. He also referred to the possibility of the app being an e-pass which could subsequently facilitate travel from one place to another," the release said.

The Prime Minister had earlier this week urged people to download the app saying it is an important step in the fight against COVID-19 and its effectiveness will increase as more people use it.

"Aarogya Setu is an important step in our fight against COVID-19. By leveraging technology, it provides important information. As more and more people use it, it's effectiveness will increase. I urge you all to download it," he had said in a tweet.

The app launched earlier this month in public-private partnership enables people to themselves assess the risk for their catching the coronavirus infection.

The app makes its calculations based on a person's interaction with others, using Bluetooth technology, algorithms and artificial intelligence.