<p>The spread of novel coronavirus in India has quickened in the past few days with new cases of <a href="https://www.deccanherald.com/tag/coronavirus" target="_blank">coronavirus</a> and COVID-19 deaths being reported every day. After the first confirmed positive case was reported on January 30 in Kerala, the epidemic has expanded its footprints in the country, affecting more than 2.9 lakh people.</p>.<p><a href="https://www.deccanherald.com/national/coronavirus-news-live-updates-india-now-stands-in-the-6th-position-globally-as-tally-spikes-over-257-lakh-toll-crosses-7100-846670.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 been living under <a href="https://www.deccanherald.com/tag/coronavirus-lockdown" target="_blank">lockdown</a> for the past few days as governments step up efforts to combat coronavirus pandemic which has left more than 4 lakh people dead globally.</p>.<p><a href="https://www.deccanherald.com/national/coronavirus-india-update-state-wise-total-number-of-confirmed-cases-deaths-on-june-13-848993.html" target="_blank"><strong>Track state-wise total number of confirmed COVID-19 cases on June 13 here</strong></a></p>.<p>While the novel coronavirus has impacted US, Brazil and the Russia the most, India too is seeing <a href="https://www.deccanherald.com/tag/coronavirus" target="_blank">COVID-19</a> infect its economy. After making its presence in Kerala first, the novel coronavirus spread to other cities/regions, including Bengaluru, Pune, Delhi, Jaipur, Agra, Hyderabad, Jammu and Kashmir.</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 full list of coronavirus positive cases in India and the state-wise impact of the pandemic (this list will be updated regularly).</strong></p>.<p><strong>Coronavirus in India: Total number of positive cases (including deaths): 3,09,271 as of June 12.</strong></p>.<p><strong>States/UTs death toll (Details are updated as we receive information) Total deaths in India: 8,886</strong></p>.<table align="center" border="1" cellpadding="1" cellspacing="1" dir="ltr"> <thead> <tr> <td>State </td> <td>Positive Cases</td> <td>Deaths</td> </tr> <tr> <td>Andaman and Nicobar Islands</td> <td data-sheets-value="{"1":3,"3":38}">38</td> <td>0</td> </tr> <tr> <td>Arunachal Pradesh</td> <td data-sheets-value="{"1":3,"3":61}">87</td> <td>0</td> </tr> <tr> <td>Assam</td> <td data-sheets-value="{"1":3,"3":3319}">3,430</td> <td>8</td> </tr> <tr> <td>Bihar</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5983}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 6,096</td> <td>35</td> </tr> <tr> <td>Chandigarh</td> <td data-sheets-value="{"1":3,"3":332}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 345</td> <td>5</td> </tr> <tr> <td>Chhattisgarh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1398}">1,429</td> <td>6</td> </tr> <tr> <td>Dadar and Nagar Haveli</td> <td data-sheets-value="{"1":3,"3":28}">28</td> <td>0</td> </tr> <tr> <td>Daman and Diu</td> <td data-sheets-value="{"1":3,"3":2}">2</td> <td>0</td> </tr> <tr> <td>Goa</td> <td data-sheets-value="{"1":3,"3":417}">463</td> <td>0</td> </tr> <tr> <td>Gujarat</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22032}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 22,562</td> <td>1,416</td> </tr> <tr> <td>Haryana</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5968}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 6,334</td> <td>70</td> </tr> <tr> <td>Himachal Pradesh</td> <td data-sheets-value="{"1":3,"3":470}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 487</td> <td>7</td> </tr> <tr> <td>Jharkhand</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1599}">1,656</td> <td>8</td> </tr> <tr> <td>Karnataka</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":6245}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 6,516</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 79</td> </tr> <tr> <td>Kerala</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2244}">2,321</td> <td>19</td> </tr> <tr> <td>Lakshadweep</td> <td data-sheets-value="{"1":3,"3":0}">0</td> <td>0</td> </tr> <tr> <td>Madhya Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":10241}">10,443</td> <td>440</td> </tr> <tr> <td>Maharashtra </td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":97648}">1,01,141</td> <td>3717</td> </tr> <tr> <td>Manipur</td> <td data-sheets-value="{"1":3,"3":366}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 385</td> <td>0</td> </tr> <tr> <td>Meghalaya</td> <td data-sheets-value="{"1":3,"3":44}">44</td> <td>1</td> </tr> <tr> <td>Mizoram</td> <td data-sheets-value="{"1":3,"3":102}">104</td> <td>0</td> </tr> <tr> <td>Nagaland</td> <td data-sheets-value="{"1":3,"3":128}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 156</td> <td>0</td> </tr> <tr> <td>Delhi</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":34687}">36,824</td> <td>1214</td> </tr> <tr> <td>Puducherry</td> <td data-sheets-value="{"1":3,"3":157}">163</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 3</td> </tr> <tr> <td>Punjab</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2887}">2,986</td> <td>63</td> </tr> <tr> <td>Rajasthan</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":11838}">12,068</td> <td>272</td> </tr> <tr> <td>Sikkim</td> <td data-sheets-value="{"1":3,"3":14}">63</td> <td>0</td> </tr> <tr> <td>Tamil Nadu</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":38716}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 40,698</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 367</td> </tr> <tr> <td>Telangana</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4320}">4,484</td> <td>174</td> </tr> <tr> <td>Tripura</td> <td data-sheets-value="{"1":3,"3":913}">916</td> <td>1</td> </tr> <tr> <td>Uttar Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":12088}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 12,616</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 365</td> </tr> <tr> <td>Uttarakhand</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1643}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 1,724</td> <td>21</td> </tr> <tr> <td>West Bengal</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9768}">10,244</td> <td>451</td> </tr> <tr> <td>Odisha</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3386}">3,498</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 10</td> </tr> <tr> <td>Andhra Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5429}">5,636</td> <td>80</td> </tr> <tr> <td>Jammu and Kashmir</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4574}">4,730</td> <td>53</td> </tr> <tr> <td>Ladakh</td> <td data-sheets-value="{"1":3,"3":135}">239</td> <td>1</td> </tr> <tr> <td>Cases being reassigned to states</td> <td>8315</td> <td> </td> </tr> </thead></table>.<p><em>Note: The tallies above include foreigners who have been infected with COVID-19.</em></p>.<p><strong>No. of people discharged: 1,47,195</strong></p>.<p>While the Centre and state governments have been trying hard to check the spread of coronavirus by tracking, isolating and treating the infected persons, the gradual rise of the pandemic in India is worrisome.</p>
<p>The spread of novel coronavirus in India has quickened in the past few days with new cases of <a href="https://www.deccanherald.com/tag/coronavirus" target="_blank">coronavirus</a> and COVID-19 deaths being reported every day. After the first confirmed positive case was reported on January 30 in Kerala, the epidemic has expanded its footprints in the country, affecting more than 2.9 lakh people.</p>.<p><a href="https://www.deccanherald.com/national/coronavirus-news-live-updates-india-now-stands-in-the-6th-position-globally-as-tally-spikes-over-257-lakh-toll-crosses-7100-846670.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 been living under <a href="https://www.deccanherald.com/tag/coronavirus-lockdown" target="_blank">lockdown</a> for the past few days as governments step up efforts to combat coronavirus pandemic which has left more than 4 lakh people dead globally.</p>.<p><a href="https://www.deccanherald.com/national/coronavirus-india-update-state-wise-total-number-of-confirmed-cases-deaths-on-june-13-848993.html" target="_blank"><strong>Track state-wise total number of confirmed COVID-19 cases on June 13 here</strong></a></p>.<p>While the novel coronavirus has impacted US, Brazil and the Russia the most, India too is seeing <a href="https://www.deccanherald.com/tag/coronavirus" target="_blank">COVID-19</a> infect its economy. After making its presence in Kerala first, the novel coronavirus spread to other cities/regions, including Bengaluru, Pune, Delhi, Jaipur, Agra, Hyderabad, Jammu and Kashmir.</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 full list of coronavirus positive cases in India and the state-wise impact of the pandemic (this list will be updated regularly).</strong></p>.<p><strong>Coronavirus in India: Total number of positive cases (including deaths): 3,09,271 as of June 12.</strong></p>.<p><strong>States/UTs death toll (Details are updated as we receive information) Total deaths in India: 8,886</strong></p>.<table align="center" border="1" cellpadding="1" cellspacing="1" dir="ltr"> <thead> <tr> <td>State </td> <td>Positive Cases</td> <td>Deaths</td> </tr> <tr> <td>Andaman and Nicobar Islands</td> <td data-sheets-value="{"1":3,"3":38}">38</td> <td>0</td> </tr> <tr> <td>Arunachal Pradesh</td> <td data-sheets-value="{"1":3,"3":61}">87</td> <td>0</td> </tr> <tr> <td>Assam</td> <td data-sheets-value="{"1":3,"3":3319}">3,430</td> <td>8</td> </tr> <tr> <td>Bihar</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5983}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 6,096</td> <td>35</td> </tr> <tr> <td>Chandigarh</td> <td data-sheets-value="{"1":3,"3":332}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 345</td> <td>5</td> </tr> <tr> <td>Chhattisgarh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1398}">1,429</td> <td>6</td> </tr> <tr> <td>Dadar and Nagar Haveli</td> <td data-sheets-value="{"1":3,"3":28}">28</td> <td>0</td> </tr> <tr> <td>Daman and Diu</td> <td data-sheets-value="{"1":3,"3":2}">2</td> <td>0</td> </tr> <tr> <td>Goa</td> <td data-sheets-value="{"1":3,"3":417}">463</td> <td>0</td> </tr> <tr> <td>Gujarat</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":22032}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 22,562</td> <td>1,416</td> </tr> <tr> <td>Haryana</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5968}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 6,334</td> <td>70</td> </tr> <tr> <td>Himachal Pradesh</td> <td data-sheets-value="{"1":3,"3":470}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 487</td> <td>7</td> </tr> <tr> <td>Jharkhand</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1599}">1,656</td> <td>8</td> </tr> <tr> <td>Karnataka</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":6245}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 6,516</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 79</td> </tr> <tr> <td>Kerala</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2244}">2,321</td> <td>19</td> </tr> <tr> <td>Lakshadweep</td> <td data-sheets-value="{"1":3,"3":0}">0</td> <td>0</td> </tr> <tr> <td>Madhya Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":10241}">10,443</td> <td>440</td> </tr> <tr> <td>Maharashtra </td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":97648}">1,01,141</td> <td>3717</td> </tr> <tr> <td>Manipur</td> <td data-sheets-value="{"1":3,"3":366}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 385</td> <td>0</td> </tr> <tr> <td>Meghalaya</td> <td data-sheets-value="{"1":3,"3":44}">44</td> <td>1</td> </tr> <tr> <td>Mizoram</td> <td data-sheets-value="{"1":3,"3":102}">104</td> <td>0</td> </tr> <tr> <td>Nagaland</td> <td data-sheets-value="{"1":3,"3":128}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 156</td> <td>0</td> </tr> <tr> <td>Delhi</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":34687}">36,824</td> <td>1214</td> </tr> <tr> <td>Puducherry</td> <td data-sheets-value="{"1":3,"3":157}">163</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 3</td> </tr> <tr> <td>Punjab</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":2887}">2,986</td> <td>63</td> </tr> <tr> <td>Rajasthan</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":11838}">12,068</td> <td>272</td> </tr> <tr> <td>Sikkim</td> <td data-sheets-value="{"1":3,"3":14}">63</td> <td>0</td> </tr> <tr> <td>Tamil Nadu</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":38716}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 40,698</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 367</td> </tr> <tr> <td>Telangana</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4320}">4,484</td> <td>174</td> </tr> <tr> <td>Tripura</td> <td data-sheets-value="{"1":3,"3":913}">916</td> <td>1</td> </tr> <tr> <td>Uttar Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":12088}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 12,616</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 365</td> </tr> <tr> <td>Uttarakhand</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":1643}"> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 1,724</td> <td>21</td> </tr> <tr> <td>West Bengal</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":9768}">10,244</td> <td>451</td> </tr> <tr> <td>Odisha</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":3386}">3,498</td> <td> <style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--> </style> 10</td> </tr> <tr> <td>Andhra Pradesh</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":5429}">5,636</td> <td>80</td> </tr> <tr> <td>Jammu and Kashmir</td> <td data-sheets-numberformat="{"1":2,"2":"#,##0","3":1}" data-sheets-value="{"1":3,"3":4574}">4,730</td> <td>53</td> </tr> <tr> <td>Ladakh</td> <td data-sheets-value="{"1":3,"3":135}">239</td> <td>1</td> </tr> <tr> <td>Cases being reassigned to states</td> <td>8315</td> <td> </td> </tr> </thead></table>.<p><em>Note: The tallies above include foreigners who have been infected with COVID-19.</em></p>.<p><strong>No. of people discharged: 1,47,195</strong></p>.<p>While the Centre and state governments have been trying hard to check the spread of coronavirus by tracking, isolating and treating the infected persons, the gradual rise of the pandemic in India is worrisome.</p>