<p>India surpassed 1.5 crore coronavirus infections amid the unprecedented spike in daily Covid-19 cases and deaths in the past few weeks. The country continues to be the second-worst hit nation in the world after the first positive case was confirmed on January 30 in Kerala.</p>.<p>The number of active cases has breached the 21-lakh mark again after around six-and-a-half months as governments stepped up efforts to contain the pandemic, which has left over 30 lakh people dead globally.</p>.<p><strong><a href="https://www.deccanherald.com/coronavirus-live-news-covid-19-latest-updates.html" target="_blank">CORONAVIRUS SPECIAL COVERAGE ONLY ON DH</a></strong></p>.<p><strong>Coronavirus in India:</strong></p>.<p><strong>Total number of positive cases (including deaths): </strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong>1,59,30,965 as of April 22, 2021</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): 1,84,657 as of April 22, 2021</strong></p>.<table align="center" border="5" cellpadding="0" cellspacing="3" dir="ltr" xmlns="http://www.w3.org/1999/xhtml"> <colgroup> <col width="259" /> <col width="100" /> <col width="128" /> </colgroup> <tbody> <tr> <td class="rtecenter" data-sheets-value="{"1":2,"2":"States"}"><strong>States</strong></td> <td class="rtecenter" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":2,"2":"Total Cases"}"><strong>Total Cases</strong></td> <td class="rtecenter" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":2,"2":"Deaths"}"><strong>Deaths</strong></td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andaman and Nicobar Islands"}">Andaman and Nicobar Islands</td> <td class="rtecenter">5,490</td> <td class="rtecenter">64</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">17,186</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">2,29,138</td> <td class="rtecenter">1,150</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">3,54,281</td> <td class="rtecenter">1,897</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">35,770</td> <td class="rtecenter">423</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">5,88,818</td> <td class="rtecenter">6,467</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Dadra and Nagar Haveli & Daman and Diu"}">Dadra and Nagar Haveli & Daman and Diu</td> <td class="rtecenter">5,672</td> <td class="rtecenter">4</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">70,814</td> <td class="rtecenter">943</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">4,40,731</td> <td class="rtecenter">5,740</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">3,81,247</td> <td class="rtecenter">3,528</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">81,102</td> <td class="rtecenter">1,236</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">1,77,356</td> <td class="rtecenter">1,609</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">12,22,202</td> <td class="rtecenter">13,762</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">12,95,059</td> <td class="rtecenter">5,000</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Lakshadweep"}">Lakshadweep</td> <td class="rtecenter">1,526</td> <td class="rtecenter">1</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Madhya Pradesh"}">Madhya Pradesh</td> <td class="rtecenter">4,46,811</td> <td class="rtecenter">4,788</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">40,27,827</td> <td class="rtecenter">61,911</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">29,961</td> <td class="rtecenter">380</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">15,308</td> <td class="rtecenter">157</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">5,158</td> <td class="rtecenter">12</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">12,747</td> <td class="rtecenter">94</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">9,30,179</td> <td class="rtecenter">12,887</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">49,593</td> <td class="rtecenter">722</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">3,14,269</td> <td class="rtecenter">8,114</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">4,53,407</td> <td class="rtecenter">3,330</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">6,846</td> <td class="rtecenter">136</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">10,25,059</td> <td class="rtecenter">13,258</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">3,73,468</td> <td class="rtecenter">1,899</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">34,262</td> <td class="rtecenter">394</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">9,42,511</td> <td class="rtecenter">10,346</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">1,34,012</td> <td class="rtecenter">1,953</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">6,88,956</td> <td class="rtecenter">10,710</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">3,82,315</td> <td class="rtecenter">1,958</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">9,86,703</td> <td class="rtecenter">7,510</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">1,52,442</td> <td class="rtecenter">2,084</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">12,739</td> <td class="rtecenter">134</td> </tr> </tbody></table>.<p><strong>No. of people discharged: 1,34,54,880</strong></p>.<p><strong>Total Vaccination: 13,23,30,644</strong></p>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>
<p>India surpassed 1.5 crore coronavirus infections amid the unprecedented spike in daily Covid-19 cases and deaths in the past few weeks. The country continues to be the second-worst hit nation in the world after the first positive case was confirmed on January 30 in Kerala.</p>.<p>The number of active cases has breached the 21-lakh mark again after around six-and-a-half months as governments stepped up efforts to contain the pandemic, which has left over 30 lakh people dead globally.</p>.<p><strong><a href="https://www.deccanherald.com/coronavirus-live-news-covid-19-latest-updates.html" target="_blank">CORONAVIRUS SPECIAL COVERAGE ONLY ON DH</a></strong></p>.<p><strong>Coronavirus in India:</strong></p>.<p><strong>Total number of positive cases (including deaths): </strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong>1,59,30,965 as of April 22, 2021</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): 1,84,657 as of April 22, 2021</strong></p>.<table align="center" border="5" cellpadding="0" cellspacing="3" dir="ltr" xmlns="http://www.w3.org/1999/xhtml"> <colgroup> <col width="259" /> <col width="100" /> <col width="128" /> </colgroup> <tbody> <tr> <td class="rtecenter" data-sheets-value="{"1":2,"2":"States"}"><strong>States</strong></td> <td class="rtecenter" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":2,"2":"Total Cases"}"><strong>Total Cases</strong></td> <td class="rtecenter" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":2,"2":"Deaths"}"><strong>Deaths</strong></td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andaman and Nicobar Islands"}">Andaman and Nicobar Islands</td> <td class="rtecenter">5,490</td> <td class="rtecenter">64</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">17,186</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">2,29,138</td> <td class="rtecenter">1,150</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">3,54,281</td> <td class="rtecenter">1,897</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">35,770</td> <td class="rtecenter">423</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">5,88,818</td> <td class="rtecenter">6,467</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Dadra and Nagar Haveli & Daman and Diu"}">Dadra and Nagar Haveli & Daman and Diu</td> <td class="rtecenter">5,672</td> <td class="rtecenter">4</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">70,814</td> <td class="rtecenter">943</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">4,40,731</td> <td class="rtecenter">5,740</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">3,81,247</td> <td class="rtecenter">3,528</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">81,102</td> <td class="rtecenter">1,236</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">1,77,356</td> <td class="rtecenter">1,609</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">12,22,202</td> <td class="rtecenter">13,762</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">12,95,059</td> <td class="rtecenter">5,000</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Lakshadweep"}">Lakshadweep</td> <td class="rtecenter">1,526</td> <td class="rtecenter">1</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Madhya Pradesh"}">Madhya Pradesh</td> <td class="rtecenter">4,46,811</td> <td class="rtecenter">4,788</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">40,27,827</td> <td class="rtecenter">61,911</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">29,961</td> <td class="rtecenter">380</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">15,308</td> <td class="rtecenter">157</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">5,158</td> <td class="rtecenter">12</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">12,747</td> <td class="rtecenter">94</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">9,30,179</td> <td class="rtecenter">12,887</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">49,593</td> <td class="rtecenter">722</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">3,14,269</td> <td class="rtecenter">8,114</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">4,53,407</td> <td class="rtecenter">3,330</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">6,846</td> <td class="rtecenter">136</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">10,25,059</td> <td class="rtecenter">13,258</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">3,73,468</td> <td class="rtecenter">1,899</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">34,262</td> <td class="rtecenter">394</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">9,42,511</td> <td class="rtecenter">10,346</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">1,34,012</td> <td class="rtecenter">1,953</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">6,88,956</td> <td class="rtecenter">10,710</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">3,82,315</td> <td class="rtecenter">1,958</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">9,86,703</td> <td class="rtecenter">7,510</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">1,52,442</td> <td class="rtecenter">2,084</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">12,739</td> <td class="rtecenter">134</td> </tr> </tbody></table>.<p><strong>No. of people discharged: 1,34,54,880</strong></p>.<p><strong>Total Vaccination: 13,23,30,644</strong></p>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>