<p>India crossed the 1-crore mark for coronavirus infections as the country witnessed a substantial drop 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><strong><a href="https://www.deccanherald.com/national/coronavirus-news-live-updates-india-world-karnataka-maharashtra-tamil-nadu-delhi-kerala-gujarat-Bengaluru-deaths-cases-recoveries-Covid-19-vaccine-pfizer-moderna-AstraZeneca-932714.html" target="_blank">For latest updates and live news on coronavirus, click here</a></strong></p>.<p>More than five crore 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 16 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>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><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>103,19,185</strong> <strong>as of January 2</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): </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><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>149,395</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-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">4,946</td> <td class="rtecenter">62</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">16,727</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">2,16,289</td> <td class="rtecenter">1,051</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">2,53,652</td> <td class="rtecenter">1,403</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">19,865</td> <td class="rtecenter">319</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">2,81,654</td> <td class="rtecenter">3,375</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">3,378</td> <td class="rtecenter">2</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">51,230</td> <td class="rtecenter">739</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">2,46,513</td> <td class="rtecenter">4,314</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">2,62,850</td> <td class="rtecenter">2,915</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">55,619</td> <td class="rtecenter">936</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">1,15,392</td> <td class="rtecenter">1,034</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">9,21,128</td> <td class="rtecenter">12,099</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">7,65,924</td> <td class="rtecenter">3,095</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">2,43,302</td> <td class="rtecenter">3,627</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">19,38,854</td> <td class="rtecenter">49,631</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">28,243</td> <td class="rtecenter">357</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">13,448</td> <td class="rtecenter">139</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">4219</td> <td class="rtecenter">8</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">11,929</td> <td class="rtecenter">79</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">6,26,448</td> <td class="rtecenter">10,571</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">38,174</td> <td class="rtecenter">633</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">1,67,012</td> <td class="rtecenter">5,364</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">3,09,319</td> <td class="rtecenter">2,705</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">5,911</td> <td class="rtecenter">129</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">8,19,845</td> <td class="rtecenter">12,146</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">2,87,108</td> <td class="rtecenter">1,546</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">33,264</td> <td class="rtecenter">382</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">5,87,434</td> <td class="rtecenter">8,387</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">91,544</td> <td class="rtecenter">1,522</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">5,54,079</td> <td class="rtecenter">9,766</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">3,30,117</td> <td class="rtecenter">1,880</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">8,82,850</td> <td class="rtecenter">7,111</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">1,21,471</td> <td class="rtecenter">1,885</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">9,447</td> <td class="rtecenter">127</td> </tr> </tbody></table>.<p><strong>No. of people discharged: 98,83,461</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>India crossed the 1-crore mark for coronavirus infections as the country witnessed a substantial drop 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><strong><a href="https://www.deccanherald.com/national/coronavirus-news-live-updates-india-world-karnataka-maharashtra-tamil-nadu-delhi-kerala-gujarat-Bengaluru-deaths-cases-recoveries-Covid-19-vaccine-pfizer-moderna-AstraZeneca-932714.html" target="_blank">For latest updates and live news on coronavirus, click here</a></strong></p>.<p>More than five crore 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 16 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>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><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>103,19,185</strong> <strong>as of January 2</strong></p>.<p><strong>States/UTs death toll (details are updated as we receive information): </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><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>149,395</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-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">4,946</td> <td class="rtecenter">62</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Arunachal Pradesh"}">Arunachal Pradesh</td> <td class="rtecenter">16,727</td> <td class="rtecenter">56</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Assam"}">Assam</td> <td class="rtecenter">2,16,289</td> <td class="rtecenter">1,051</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Bihar"}">Bihar</td> <td class="rtecenter">2,53,652</td> <td class="rtecenter">1,403</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chandigarh"}">Chandigarh</td> <td class="rtecenter">19,865</td> <td class="rtecenter">319</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Chhattisgarh"}">Chhattisgarh</td> <td class="rtecenter">2,81,654</td> <td class="rtecenter">3,375</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">3,378</td> <td class="rtecenter">2</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Goa"}">Goa</td> <td class="rtecenter">51,230</td> <td class="rtecenter">739</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Gujarat"}">Gujarat</td> <td class="rtecenter">2,46,513</td> <td class="rtecenter">4,314</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Haryana"}">Haryana</td> <td class="rtecenter">2,62,850</td> <td class="rtecenter">2,915</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Himachal Pradesh"}">Himachal Pradesh</td> <td class="rtecenter">55,619</td> <td class="rtecenter">936</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jharkhand"}">Jharkhand</td> <td class="rtecenter">1,15,392</td> <td class="rtecenter">1,034</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Karnataka"}">Karnataka</td> <td class="rtecenter">9,21,128</td> <td class="rtecenter">12,099</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Kerala"}">Kerala</td> <td class="rtecenter">7,65,924</td> <td class="rtecenter">3,095</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">2,43,302</td> <td class="rtecenter">3,627</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Maharashtra"}">Maharashtra</td> <td class="rtecenter">19,38,854</td> <td class="rtecenter">49,631</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Manipur"}">Manipur</td> <td class="rtecenter">28,243</td> <td class="rtecenter">357</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Meghalaya"}">Meghalaya</td> <td class="rtecenter">13,448</td> <td class="rtecenter">139</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Mizoram"}">Mizoram</td> <td class="rtecenter">4219</td> <td class="rtecenter">8</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Nagaland"}">Nagaland</td> <td class="rtecenter">11,929</td> <td class="rtecenter">79</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Delhi"}">Delhi</td> <td class="rtecenter">6,26,448</td> <td class="rtecenter">10,571</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Puducherry"}">Puducherry</td> <td class="rtecenter">38,174</td> <td class="rtecenter">633</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Punjab"}">Punjab</td> <td class="rtecenter">1,67,012</td> <td class="rtecenter">5,364</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Rajasthan"}">Rajasthan</td> <td class="rtecenter">3,09,319</td> <td class="rtecenter">2,705</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Sikkim"}">Sikkim</td> <td class="rtecenter">5,911</td> <td class="rtecenter">129</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tamil Nadu"}">Tamil Nadu</td> <td class="rtecenter">8,19,845</td> <td class="rtecenter">12,146</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Telangana"}">Telangana</td> <td class="rtecenter">2,87,108</td> <td class="rtecenter">1,546</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Tripura"}">Tripura</td> <td class="rtecenter">33,264</td> <td class="rtecenter">382</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttar Pradesh"}">Uttar Pradesh</td> <td class="rtecenter">5,87,434</td> <td class="rtecenter">8,387</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Uttarakhand"}">Uttarakhand</td> <td class="rtecenter">91,544</td> <td class="rtecenter">1,522</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"West Bengal"}">West Bengal</td> <td class="rtecenter">5,54,079</td> <td class="rtecenter">9,766</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Odisha"}">Odisha</td> <td class="rtecenter">3,30,117</td> <td class="rtecenter">1,880</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Andhra Pradesh"}">Andhra Pradesh</td> <td class="rtecenter">8,82,850</td> <td class="rtecenter">7,111</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Jammu and Kashmir"}">Jammu and Kashmir</td> <td class="rtecenter">1,21,471</td> <td class="rtecenter">1,885</td> </tr> <tr> <td data-sheets-value="{"1":2,"2":"Ladakh"}">Ladakh</td> <td class="rtecenter">9,447</td> <td class="rtecenter">127</td> </tr> </tbody></table>.<p><strong>No. of people discharged: 98,83,461</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>