<p>The spread of the novel coronavirus in India has quickened in the last few days with new cases of Covid-19 and deaths reported every day. The epidemic has expanded its footprint in the country and has affected over 71 lakh people since the first positive case was confirmed on January 30 in Kerala.</p>.<p><a href="https://www.deccanherald.com/national/coronavirus-news-live-updates-india-world-coronavirus-vaccine-karnataka-maharashtra-tamil-nadu-delhi-kerala-gujarat-bengal-bengaluru-mumbai-new-delhi-chennai-kolkata-cases-deaths-recoveries-AstraZeneca-Oxford-900698.html" target="_blank"><strong>For latest updates and live news on coronavirus, click here</strong></a></p>.<p>More than three billion people around the world have lived under <a href="https://www.deccanherald.com/tag/coronavirus-lockdown" target="_blank">lockdown</a> as governments stepped up efforts to contain the pandemic, which has left over a million people dead globally.</p>.<p>On September 6, India topped Brazil's coronavirus tally and now has the world's second-highest number of Covid-19 cases.<br /><br /><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>Here’s the tally of Covid-19 positive cases in India and the state-wise impact:</strong></p>.<p><strong>Coronavirus in India: Total number of positive cases (including deaths):</strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong>71,68,338 as of October 12</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): 1,09,795</strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"></style></p>.<table align="center" border="3" cellpadding="0" cellspacing="3" dir="ltr" xmlns="http://www.w3.org/1999/xhtml"> <colgroup> <col width="309" /> <col width="100" /> <col width="174" /> </colgroup> <tbody> <tr> <td class="rtecenter" data-sheets-value="{"1":2,"2":"State"}"><strong>State</strong></td> <td class="rtecenter" data-sheets-value="{"1":2,"2":"Total cases"}"><strong>Total cases</strong></td> <td class="rtecenter" data-sheets-value="{"1":2,"2":"Total deaths"}"><strong>Total deaths</strong></td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"States"}">States</td> <td class="rtecenter" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":2,"2":"Total cases"}">Total cases</td> <td class="rtecenter" data-sheets-value="{"1":2,"2":"Deaths"}">Deaths</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andaman and Nicobar Islands"}">Andaman and Nicobar Islands</td> <td class="rtecenter">4,005</td> <td class="rtecenter">55</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">12,147</td> <td class="rtecenter">24</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">1,93,783</td> <td class="rtecenter">816</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">1,97,000</td> <td class="rtecenter">955</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">13,260</td> <td class="rtecenter">192</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">1,42,372</td> <td class="rtecenter">1,253</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">3,163</td> <td class="rtecenter">2</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">38,674</td> <td class="rtecenter">511</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">1,52,765</td> <td class="rtecenter">3,577</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">1,43,221</td> <td class="rtecenter">1,592</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">17,578</td> <td class="rtecenter">246</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">92,525</td> <td class="rtecenter">787</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">7,17,915</td> <td class="rtecenter">10,036</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">2,95,132</td> <td class="rtecenter">1,025</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Lakshadweep"}">Lakshadweep</td> <td class="rtecenter">0</td> <td class="rtecenter">0</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Madhya Pradesh"}">Madhya Pradesh</td> <td class="rtecenter">1,48,298</td> <td class="rtecenter">2,645</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">15,35,315</td> <td class="rtecenter">40,514</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">13,556</td> <td class="rtecenter">93</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">7,771</td> <td class="rtecenter">64</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">2,184</td> <td class="rtecenter">0</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">7,240</td> <td class="rtecenter">23</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">3,11,188</td> <td class="rtecenter">5,809</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">31,737</td> <td class="rtecenter">565</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">1,24,535</td> <td class="rtecenter">3,860</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">1,61,184</td> <td class="rtecenter">1,665</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">3,359</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">6,61,264</td> <td class="rtecenter">10,314</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">2,13,084</td> <td class="rtecenter">1,228</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">28,461</td> <td class="rtecenter">313</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">4,39,161</td> <td class="rtecenter">6,438</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">55,347</td> <td class="rtecenter">762</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">2,98,389</td> <td class="rtecenter">5,682</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">2,54,662</td> <td class="rtecenter">1,040</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">7,58,951</td> <td class="rtecenter">6,256</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">84,031</td> <td class="rtecenter">1,333</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">5,081</td> <td class="rtecenter">64</td> </tr> </tbody></table>.<p><style type="text/css">{C}<!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}</style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style></p>.<p><br /><br /><strong>No. of people discharged: </strong> <strong>61,49,535</strong></p>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>.<p>While the Centre and state governments have been trying hard to check the Covid-19 spread by tracking, isolating and treating infected people, the daily rise in India cases is worrisome.</p>
<p>The spread of the novel coronavirus in India has quickened in the last few days with new cases of Covid-19 and deaths reported every day. The epidemic has expanded its footprint in the country and has affected over 71 lakh people since the first positive case was confirmed on January 30 in Kerala.</p>.<p><a href="https://www.deccanherald.com/national/coronavirus-news-live-updates-india-world-coronavirus-vaccine-karnataka-maharashtra-tamil-nadu-delhi-kerala-gujarat-bengal-bengaluru-mumbai-new-delhi-chennai-kolkata-cases-deaths-recoveries-AstraZeneca-Oxford-900698.html" target="_blank"><strong>For latest updates and live news on coronavirus, click here</strong></a></p>.<p>More than three billion people around the world have lived under <a href="https://www.deccanherald.com/tag/coronavirus-lockdown" target="_blank">lockdown</a> as governments stepped up efforts to contain the pandemic, which has left over a million people dead globally.</p>.<p>On September 6, India topped Brazil's coronavirus tally and now has the world's second-highest number of Covid-19 cases.<br /><br /><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>Here’s the tally of Covid-19 positive cases in India and the state-wise impact:</strong></p>.<p><strong>Coronavirus in India: Total number of positive cases (including deaths):</strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><strong>71,68,338 as of October 12</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): 1,09,795</strong><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><style type="text/css"></style></p>.<table align="center" border="3" cellpadding="0" cellspacing="3" dir="ltr" xmlns="http://www.w3.org/1999/xhtml"> <colgroup> <col width="309" /> <col width="100" /> <col width="174" /> </colgroup> <tbody> <tr> <td class="rtecenter" data-sheets-value="{"1":2,"2":"State"}"><strong>State</strong></td> <td class="rtecenter" data-sheets-value="{"1":2,"2":"Total cases"}"><strong>Total cases</strong></td> <td class="rtecenter" data-sheets-value="{"1":2,"2":"Total deaths"}"><strong>Total deaths</strong></td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"States"}">States</td> <td class="rtecenter" data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":2,"2":"Total cases"}">Total cases</td> <td class="rtecenter" data-sheets-value="{"1":2,"2":"Deaths"}">Deaths</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andaman and Nicobar Islands"}">Andaman and Nicobar Islands</td> <td class="rtecenter">4,005</td> <td class="rtecenter">55</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">12,147</td> <td class="rtecenter">24</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">1,93,783</td> <td class="rtecenter">816</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">1,97,000</td> <td class="rtecenter">955</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">13,260</td> <td class="rtecenter">192</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">1,42,372</td> <td class="rtecenter">1,253</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">3,163</td> <td class="rtecenter">2</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">38,674</td> <td class="rtecenter">511</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">1,52,765</td> <td class="rtecenter">3,577</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">1,43,221</td> <td class="rtecenter">1,592</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">17,578</td> <td class="rtecenter">246</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">92,525</td> <td class="rtecenter">787</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">7,17,915</td> <td class="rtecenter">10,036</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">2,95,132</td> <td class="rtecenter">1,025</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Lakshadweep"}">Lakshadweep</td> <td class="rtecenter">0</td> <td class="rtecenter">0</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Madhya Pradesh"}">Madhya Pradesh</td> <td class="rtecenter">1,48,298</td> <td class="rtecenter">2,645</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">15,35,315</td> <td class="rtecenter">40,514</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">13,556</td> <td class="rtecenter">93</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">7,771</td> <td class="rtecenter">64</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">2,184</td> <td class="rtecenter">0</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">7,240</td> <td class="rtecenter">23</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">3,11,188</td> <td class="rtecenter">5,809</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">31,737</td> <td class="rtecenter">565</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">1,24,535</td> <td class="rtecenter">3,860</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">1,61,184</td> <td class="rtecenter">1,665</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">3,359</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">6,61,264</td> <td class="rtecenter">10,314</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">2,13,084</td> <td class="rtecenter">1,228</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">28,461</td> <td class="rtecenter">313</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">4,39,161</td> <td class="rtecenter">6,438</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">55,347</td> <td class="rtecenter">762</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">2,98,389</td> <td class="rtecenter">5,682</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">2,54,662</td> <td class="rtecenter">1,040</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">7,58,951</td> <td class="rtecenter">6,256</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">84,031</td> <td class="rtecenter">1,333</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">5,081</td> <td class="rtecenter">64</td> </tr> </tbody></table>.<p><style type="text/css">{C}<!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}</style><style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style></p>.<p><br /><br /><strong>No. of people discharged: </strong> <strong>61,49,535</strong></p>.<p><em>Note: The tallies above include foreigners who have been infected with Covid-19.</em></p>.<p>While the Centre and state governments have been trying hard to check the Covid-19 spread by tracking, isolating and treating infected people, the daily rise in India cases is worrisome.</p>