<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>1,62,63,695 as of April 23, 2021</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): 1,86,920 as of April 23, 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">5,527</td> <td class="rtecenter">65</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">17,296</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">2,31,069</td> <td class="rtecenter">1,160</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">3,65,770</td> <td class="rtecenter">1,956</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">36,404</td> <td class="rtecenter">427</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">6,05,568</td> <td class="rtecenter">6,674</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">5,910</td> <td class="rtecenter">4</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">72,224</td> <td class="rtecenter">964</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">4,53,836</td> <td class="rtecenter">5,877</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">3,90,989</td> <td class="rtecenter">3,583</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">82,876</td> <td class="rtecenter">1,254</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">1,84,951</td> <td class="rtecenter">1,715</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">12,47,997</td> <td class="rtecenter">13,885</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">13,22,054</td> <td class="rtecenter">5,028</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Lakshadweep"}">Lakshadweep</td> <td class="rtecenter">1,671</td> <td class="rtecenter">1</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Madhya Pradesh"}">Madhya Pradesh</td> <td class="rtecenter">4,59,195</td> <td class="rtecenter">4,863</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">40,94,840</td> <td class="rtecenter">62,479</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">30,047</td> <td class="rtecenter">381</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">15,488</td> <td class="rtecenter">157</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">5,220</td> <td class="rtecenter">12</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">12,800</td> <td class="rtecenter">94</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">9,56,348</td> <td class="rtecenter">13,193</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">50,580</td> <td class="rtecenter">726</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">3,19,719</td> <td class="rtecenter">8,189</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">4,67,875</td> <td class="rtecenter">3,389</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">6,970</td> <td class="rtecenter">137</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">10,37,711</td> <td class="rtecenter">13,317</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">3,79,494</td> <td class="rtecenter">1,928</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">34,302</td> <td class="rtecenter">394</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">9,76,765</td> <td class="rtecenter">10,541</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">1,38,010</td> <td class="rtecenter">1,972</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">7,00,904</td> <td class="rtecenter">10,766</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">3,88,479</td> <td class="rtecenter">1,965</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">9,97,462</td> <td class="rtecenter">7,541</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">1,54,407</td> <td class="rtecenter">2,092</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">12,937</td> <td class="rtecenter">135</td> </tr> </tbody></table>.<p><strong>No. of people discharged: 1,36,48,159</strong></p>.<p><strong>Total Vaccination: 13,54,78,420</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>1,62,63,695 as of April 23, 2021</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): 1,86,920 as of April 23, 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">5,527</td> <td class="rtecenter">65</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">17,296</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">2,31,069</td> <td class="rtecenter">1,160</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">3,65,770</td> <td class="rtecenter">1,956</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">36,404</td> <td class="rtecenter">427</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">6,05,568</td> <td class="rtecenter">6,674</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">5,910</td> <td class="rtecenter">4</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">72,224</td> <td class="rtecenter">964</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">4,53,836</td> <td class="rtecenter">5,877</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">3,90,989</td> <td class="rtecenter">3,583</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">82,876</td> <td class="rtecenter">1,254</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">1,84,951</td> <td class="rtecenter">1,715</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">12,47,997</td> <td class="rtecenter">13,885</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">13,22,054</td> <td class="rtecenter">5,028</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Lakshadweep"}">Lakshadweep</td> <td class="rtecenter">1,671</td> <td class="rtecenter">1</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Madhya Pradesh"}">Madhya Pradesh</td> <td class="rtecenter">4,59,195</td> <td class="rtecenter">4,863</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">40,94,840</td> <td class="rtecenter">62,479</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">30,047</td> <td class="rtecenter">381</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">15,488</td> <td class="rtecenter">157</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">5,220</td> <td class="rtecenter">12</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">12,800</td> <td class="rtecenter">94</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">9,56,348</td> <td class="rtecenter">13,193</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">50,580</td> <td class="rtecenter">726</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">3,19,719</td> <td class="rtecenter">8,189</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">4,67,875</td> <td class="rtecenter">3,389</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">6,970</td> <td class="rtecenter">137</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">10,37,711</td> <td class="rtecenter">13,317</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">3,79,494</td> <td class="rtecenter">1,928</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">34,302</td> <td class="rtecenter">394</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">9,76,765</td> <td class="rtecenter">10,541</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">1,38,010</td> <td class="rtecenter">1,972</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">7,00,904</td> <td class="rtecenter">10,766</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">3,88,479</td> <td class="rtecenter">1,965</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">9,97,462</td> <td class="rtecenter">7,541</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">1,54,407</td> <td class="rtecenter">2,092</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">12,937</td> <td class="rtecenter">135</td> </tr> </tbody></table>.<p><strong>No. of people discharged: 1,36,48,159</strong></p>.<p><strong>Total Vaccination: 13,54,78,420</strong></p>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>