Experts from IIT Kanpur predict third COVID wave to hit India in October this year!
Studying the current patterns of the COVID numbers in the country, researchers at IIT Kanpur have made some startling predictions about the future of the pandemic. As per reports, the expert authorities have deployed a mathematical model to assess the present situation and they expect that the third wave of accelerated infections would hit the nation in October. Reportedly, the officials stated that the probable impact of the third wave cannot be anticipated.
Cases expected to decline in UP, Delhi, Gujarat, Delhi & West Bengal
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Earlier, the researchers at the institute had predicted that the COVID graphs would peak in the first week of May, marked by a downfall after that. Now, reports mention that the experts had pointed out that Maharashtra has already passed its peak while the figures would plateau in Uttar Pradesh, Delhi, Gujarat and West Bengal shortly. Subsequently, it has been said that the cases would dip significantly in the coming weeks and the second wave is expected to lose its grip by the end of July.
Followed by a brief period of relief stretching over two months, the cases may surge again in October, as concluded by the high authorities. Reportedly, the top official behind the research also claimed that the recent events in West Bengal and Uttarakhand as the probable reasons behind the spike. He stated that the states of Delhi and Maharashtra, observed the largest share of cases during this time while these places were connected to the said events.
2.34 lakh active cases in Uttar Pradesh call for amplified control measures
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After attaining high peaks in the month of April, daily COVID cases in Uttar Pradesh have dipped down marginally. Despite this, the tally of active patients in the state still remains to be on the higher side with an enormous count of 2,33,981 cases registered on Sunday. Keeping this in view, the state administration needs to augment the measures for better functioning of the medical infrastructure besides controlling the viral spread.