J&K logs 46 new Covid cases
Srinagar: Jammu and Kashmir recorded 46 fresh coronavirus cases on Thursday, taking the infection count to 4,53,134, while no death due to the virus was reported in the past 24 hours, officials said.
Out of the fresh cases, 29 were from the Jammu division and 17 from the Kashmir division of the Union Territory, the officials said.
The officials said Jammu district recorded a maximum of 22 new COVID-19 cases, followed by 16 in Srinagar district. Fourteen of the 20 districts in the Union Territory did not report any fresh cases.
Providing district-wise breakup for positive cases reported today, they said while Srinagar reported 16 cases, Bandipora reported one case while as Kupwara, Budgam, Pulwama, Anantnag, Baramulla, Ganderbal, Kulgam and Shopian reported no fresh cases today.
Similarly, Jammu reported 22 cases, Udhampur and Ramban districts reported two cases each, Doda reported three cases while Rajouri, Kathua, Samba, Kishtwar, Poonch and Reasi reported no fresh cases today.
In the last 24 hours, officials said 110 COVID-19 patients have recovered and were discharged from various hospitals, including 71 from Jammu division and 39 from Kashmir.
No new case of Mucormycosis (black fungus) was reported today, they said.
On vaccination, the daily media bulletin on novel coronavirus informed that 13,209 doses of COVID vaccine were administered in the last 24 hours bringing the cumulative number of doses administered so far across J&K to 2,15,46,824.
According to the bulletin, out of 4,53,134 positive cases recorded cumulatively so far in J&K, currently there are 463 active positive cases in the UT, including 264 in Jammu division and 199 in Kashmir, while as 4,47,923 persons have recovered and 4,748 have died – 2,423 in Kashmir and 2,325 in Jammu division.
IIT Kanpur study on 4th wave of COVID-19 needs to be examined: Govt
With an IIT-Kanpur study predicting a fourth wave of COVID-19 in July this year, the government on Thursday said it looks at such studies with due respect but it is yet to examine whether this particular report has a scientific worth or not.
Addressing a press conference here, NITI Aayog Member (Health) V K Paul said that the IIT Kanpur study is a “valuable input” produced by eminent people.
“…it has been our endeavour to look at the science of the pandemic, its epidemiology, trend and virology. All projections are based on data and assumptions and we have seen divergent estimates from time to time. They are sometimes so divergent that decisions based on just a set of projections will be very unsafe for society. The government looks at these estimates with due respect because these are scientific works produced by eminent people,” Paul said.
He said the government’s approach is to be completely prepared for the unpredictable virus but whether the IIT study has a scientific worth or not is yet to be examined.
“We saw the news item and found out that this project is carried out by a group in a particular institution. We would like to see it published in a peer reviewed journal. We should be carefully watching the assumption that has been used. Only on a single estimate or projection, one is not taking any decision of significance. We value it as an input. Whether it has a scientific worth and mathematical underpinning will be examined,” Paul said.
“Our approach is to be absolutely prepared for this unpredictable virus and at the same time carry on with our work and activities in a responsible way. We are sharing on a regular basis with you our understanding and the dynamics of the pandemic and how the nation is responding to it,” he added.
A modelling study by researchers at the Indian Institute of Technology-Kanpur suggested that the fourth wave of the COVID-19 pandemic in India may start around June 22 and peak from mid to late August.
The yet-to-be peer-reviewed study, recently posted on the preprint repository MedRxiv, used a statistical model to make the prediction, finding that the possible new wave will last for four months.
The study led by Sabara Parshad Rajeshbhai, Subhra Sankar Dhar, and Shalabh of IIT Kanpur’s Department of Mathematics and Statistics shows that the severity of the fourth wave will depend on the emergence of a possible new coronavirus variant, and vaccination status across the country.
