<p>India surpassed 1.5 crore coronavirus infections amid the unprecedented surge 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 10-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><span> </span><strong>Coronavirus in India:</strong></p>.<p><strong>Total number of positive cases (including deaths): <strong>1,56,06,311 as of April 21, 2021</strong></strong></p>.<p><strong><strong>States/UTs death toll (details are updated as we receive information): 1,82,507 as of April 21, 2021</strong></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">5,466</td> <td class="rtecenter">64</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">17,113</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">2,27,473</td> <td class="rtecenter">1,145</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">3,42,059</td> <td class="rtecenter">1,841</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">35,148</td> <td class="rtecenter">421</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">5,74,299</td> <td class="rtecenter">6,274</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">5,422</td> <td class="rtecenter">4</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">69,312</td> <td class="rtecenter">926</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">4,28,178</td> <td class="rtecenter">5,615</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">3,71,624</td> <td class="rtecenter">3,483</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">79,410</td> <td class="rtecenter">1219</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">1,72,315</td> <td class="rtecenter">1547</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">11,98,644</td> <td class="rtecenter">13,646</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">12,72,645</td> <td class="rtecenter">4,978</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Lakshadweep"}">Lakshadweep</td> <td class="rtecenter">1,335</td> <td class="rtecenter">1</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Madhya Pradesh"}">Madhya Pradesh</td> <td class="rtecenter">4,33,704</td> <td class="rtecenter">4,713</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">39,60,359</td> <td class="rtecenter">61,343</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">29,869</td> <td class="rtecenter">378</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">15,116</td> <td class="rtecenter">154</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">5,085</td> <td class="rtecenter">12</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">12,650</td> <td class="rtecenter">94</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">9,05,541</td> <td class="rtecenter">12,638</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">48,974</td> <td class="rtecenter">717</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">3,09,316</td> <td class="rtecenter">8,045</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">4,38,785</td> <td class="rtecenter">3,268</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">6,796</td> <td class="rtecenter">136</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">10,13,378</td> <td class="rtecenter">13,205</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">3,67,901</td> <td class="rtecenter">1,876</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">34,186</td> <td class="rtecenter">394</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">9,09,405</td> <td class="rtecenter">10,159</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">1,29,205</td> <td class="rtecenter">1,919</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">6,68,353</td> <td class="rtecenter">10,606</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">3,77,464</td> <td class="rtecenter">1,953</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">9,76,987</td> <td class="rtecenter">7,472</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">1,50,238</td> <td class="rtecenter">2,071</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">12,556</td> <td class="rtecenter">134</td> </tr> </tbody></table>.<p><strong>No. of people discharged: 1,32,76,039</strong></p>.<p><strong>Total Vaccination: 13,01,19,310 </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 surge 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 10-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><span> </span><strong>Coronavirus in India:</strong></p>.<p><strong>Total number of positive cases (including deaths): <strong>1,56,06,311 as of April 21, 2021</strong></strong></p>.<p><strong><strong>States/UTs death toll (details are updated as we receive information): 1,82,507 as of April 21, 2021</strong></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">5,466</td> <td class="rtecenter">64</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">17,113</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">2,27,473</td> <td class="rtecenter">1,145</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">3,42,059</td> <td class="rtecenter">1,841</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">35,148</td> <td class="rtecenter">421</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">5,74,299</td> <td class="rtecenter">6,274</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">5,422</td> <td class="rtecenter">4</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">69,312</td> <td class="rtecenter">926</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">4,28,178</td> <td class="rtecenter">5,615</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">3,71,624</td> <td class="rtecenter">3,483</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">79,410</td> <td class="rtecenter">1219</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">1,72,315</td> <td class="rtecenter">1547</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">11,98,644</td> <td class="rtecenter">13,646</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">12,72,645</td> <td class="rtecenter">4,978</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Lakshadweep"}">Lakshadweep</td> <td class="rtecenter">1,335</td> <td class="rtecenter">1</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Madhya Pradesh"}">Madhya Pradesh</td> <td class="rtecenter">4,33,704</td> <td class="rtecenter">4,713</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">39,60,359</td> <td class="rtecenter">61,343</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">29,869</td> <td class="rtecenter">378</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">15,116</td> <td class="rtecenter">154</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">5,085</td> <td class="rtecenter">12</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">12,650</td> <td class="rtecenter">94</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">9,05,541</td> <td class="rtecenter">12,638</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">48,974</td> <td class="rtecenter">717</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">3,09,316</td> <td class="rtecenter">8,045</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">4,38,785</td> <td class="rtecenter">3,268</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">6,796</td> <td class="rtecenter">136</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">10,13,378</td> <td class="rtecenter">13,205</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">3,67,901</td> <td class="rtecenter">1,876</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">34,186</td> <td class="rtecenter">394</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">9,09,405</td> <td class="rtecenter">10,159</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">1,29,205</td> <td class="rtecenter">1,919</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">6,68,353</td> <td class="rtecenter">10,606</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">3,77,464</td> <td class="rtecenter">1,953</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">9,76,987</td> <td class="rtecenter">7,472</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">1,50,238</td> <td class="rtecenter">2,071</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">12,556</td> <td class="rtecenter">134</td> </tr> </tbody></table>.<p><strong>No. of people discharged: 1,32,76,039</strong></p>.<p><strong>Total Vaccination: 13,01,19,310 </strong></p>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>