"ഫലകം:2019–20 coronavirus pandemic data/India medical cases" എന്ന താളിന്റെ പതിപ്പുകൾ തമ്മിലുള്ള വ്യത്യാസം
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(ചെ.) നവംബർ 22 |
(ചെ.) ഫെബ്രുവരി 8 |
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വരി 14: | വരി 14: | ||
! scope="col" |{{abbr|Active|Active cases}} |
! scope="col" |{{abbr|Active|Active cases}} |
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|- class="sorttop" |
|- class="sorttop" |
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! style="text-align:center; padding: 0 2px;" | |
! style="text-align:center; padding: 0 2px;" |36 / 36 |
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! style="text-align:right; padding: 0 2px;" | |
! style="text-align:right; padding: 0 2px;" |10,838,194 |
||
! style="text-align:right; padding: 0 2px;" | |
! style="text-align:right; padding: 0 2px;" |155,080 |
||
! style="text-align:right; padding: 0 2px;" | |
! style="text-align:right; padding: 0 2px;" |10,534,505 |
||
! style="text-align:right; padding: 0 2px;" | |
! style="text-align:right; padding: 0 2px;" |148,609 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in the Andaman and Nicobar Islands|Andaman and Nicobar Islands]] |
! scope="row" |[[COVID-19 pandemic in the Andaman and Nicobar Islands|Andaman and Nicobar Islands]] |
||
| |
|5,001 |
||
| |
|62 |
||
|4, |
|4,932 |
||
| |
|7 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Andhra Pradesh|Andhra Pradesh]] |
! scope="row" |[[COVID-19 pandemic in Andhra Pradesh|Andhra Pradesh]] |
||
| |
|888,423 |
||
| |
|7,159 |
||
| |
|880,261 |
||
| |
|1,003 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Arunachal Pradesh|Arunachal Pradesh]] |
! scope="row" |[[COVID-19 pandemic in Arunachal Pradesh|Arunachal Pradesh]] |
||
|16, |
|16,830 |
||
| |
|56 |
||
| |
|16,767 |
||
|7 |
|||
⚫ | |||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Assam|Assam]] |
! scope="row" |[[COVID-19 pandemic in Assam|Assam]] |
||
| |
|217,210{{refn|group=lower-alpha|The [[Ministry of Health and Family Welfare|MoHFW]] data has included a case from [[Dimapur district]] of [[Nagaland]], a northeastern state of India, against the case count of [[Assam]]. It has been included since the patient was shifted in [[Gauhati Medical College and Hospital|GMCH]], Assam for treatment.<ref>{{cite news |title=Nagaland registers first COVID-19 case; patient undergoing treatment at hospital in Assam |url=https://www.republicworld.com/india-news/general-news/nagaland-registers-first-covid-19-case.html |access-date=2 May 2020 |work=[[Republic TV|Republic]] |date=12 April 2020 |language=en}}</ref> Here in the table the case figure is included against Assam as per MoHFW and not per the [[Government of Assam]]'s statistics.<ref>{{cite news |title=Covid-19 Advisory Assam |url=https://covid19.assam.gov.in/ |access-date={{TODAY}} |work=assam.gov.in |language=en}}</ref>}} |
||
⚫ | |||
|973 |
|||
| |
|214,447 |
||
| |
|1,679 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Bihar|Bihar]] |
! scope="row" |[[COVID-19 pandemic in Bihar|Bihar]] |
||
| |
|260,270 |
||
|1, |
|1,516 |
||
| |
|258,221 |
||
|533 |
|||
|5,082 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Chandigarh|Chandigarh]] |
! scope="row" |[[COVID-19 pandemic in Chandigarh|Chandigarh]] |
||
| |
|21,107 |
||
| |
|340 |
||
| |
|20,598 |
||
|169 |
|||
⚫ | |||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Chhattisgarh|Chhattisgarh]] |
! scope="row" |[[COVID-19 pandemic in Chhattisgarh|Chhattisgarh]] |
||
| |
|307,525 |
||
| |
|3,741 |
||
| |
|299,494 |
||
| |
|4,290 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Dadra and Nagar Haveli and Daman and Diu|Dadra and Nagar Haveli and Daman and Diu]] |
! scope="row" |[[COVID-19 pandemic in Dadra and Nagar Haveli and Daman and Diu|Dadra and Nagar Haveli and Daman and Diu]] |
||
|3, |
|3,398 |
||
|2 |
|2 |
||
|3, |
|3,395 |
||
| |
|1 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Delhi|Delhi]] |
! scope="row" |[[COVID-19 pandemic in Delhi|Delhi]] |
||
| |
|636,035 |
||
| |
|10,879 |
||
| |
|624,044 |
||
| |
|1,112 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Goa|Goa]] |
! scope="row" |[[COVID-19 pandemic in Goa|Goa]] |
||
| |
|53,880 |
||
| |
|772 |
||
| |
|52,347 |
||
|761 |
|||
|1,261 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Gujarat|Gujarat]] |
! scope="row" |[[COVID-19 pandemic in Gujarat|Gujarat]] |
||
| |
|263,444 |
||
| |
|4,395 |
||
| |
|256,670 |
||
| |
|2,379 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Haryana|Haryana]] |
! scope="row" |[[COVID-19 pandemic in Haryana|Haryana]] |
||
| |
|268,431 |
||
| |
|3,029 |
||
| |
|264,519 |
||
|883 |
|||
|20,325 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Himachal Pradesh|Himachal Pradesh]] |
! scope="row" |[[COVID-19 pandemic in Himachal Pradesh|Himachal Pradesh]] |
||
| |
|57,896 |
||
| |
|984 |
||
| |
|56,448 |
||
|464 |
|||
|7,070 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Jammu and Kashmir|Jammu and Kashmir]] |
! scope="row" |[[COVID-19 pandemic in Jammu and Kashmir|Jammu and Kashmir]] |
||
| |
|124,909 |
||
|1, |
|1,944 |
||
| |
|122,335 |
||
|630 |
|||
|5,720 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Jharkhand|Jharkhand]] |
! scope="row" |[[COVID-19 pandemic in Jharkhand|Jharkhand]] |
||
| |
|119,017 |
||
⚫ | |||
|945 |
|||
| |
|117,508 |
||
|431 |
|||
|2,430 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Karnataka|Karnataka]] |
! scope="row" |[[COVID-19 pandemic in Karnataka|Karnataka]] |
||
| |
|942,518 |
||
| |
|12,236 |
||
| |
|924,304 |
||
| |
|5,978 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Kerala|Kerala]] |
! scope="row" |[[COVID-19 pandemic in Kerala|Kerala]] |
||
| |
|968,438 |
||
| |
|3,867{{refn|group=lower-alpha|The MoHFW data has included a death from [[Mahé district]] of [[Puducherry (union territory)|Puducherry]], a union territory of India and which is surrounded by [[North Malabar]] region of [[Kerala]], against the death count of Kerala. It has been included since the patient died at Parayaram Medical College in [[Kannur]], Kerala.<ref>{{cite news |last1=Jacob |first1=Jeemon |title=Social activist from Puducherry becomes Kerala's third coronavirus casualty |url=https://www.indiatoday.in/amp/india/story/social-activist-from-puducherry-becomes-kerala-s-third-coronavirus-casualty-1665861-2020-04-11 |access-date=19 April 2020 |work=The India Today |date=11 April 2020}}</ref> Here in the table the death figure is included against Kerala as per MoHFW and not per the [[Government of Kerala]]’s statistics.<ref>{{cite news |title=Date wise report, Kerala Covid 19 battle |url=https://dashboard.kerala.gov.in/dailyreporting-view-public.php |access-date=19 April 2020 |work=The [[Government of Kerala]]}}</ref>}} |
||
| |
|896,668 |
||
| |
|67,903 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Ladakh|Ladakh]] |
! scope="row" |[[COVID-19 pandemic in Ladakh|Ladakh]] |
||
| |
|9,747 |
||
| |
|130 |
||
| |
|9,545 |
||
| |
|72 |
||
|- |
|- |
||
! scope="row" |Lakshadweep |
! scope="row" |[[COVID-19 pandemic in Lakshadweep|Lakshadweep]] |
||
|153 |
|||
| style="color:gray;" |0 |
|||
| style="color:gray;" |0 |
|||
| style="color:gray;" |0 |
|||
| style="color:gray;" |0 |
| style="color:gray;" |0 |
||
|65 |
|||
|88 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Madhya Pradesh|Madhya Pradesh]] |
! scope="row" |[[COVID-19 pandemic in Madhya Pradesh|Madhya Pradesh]] |
||
| |
|256,398 |
||
|3, |
|3,820 |
||
| |
|250,537 |
||
| |
|2,041 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Maharashtra|Maharashtra]] |
! scope="row" |[[COVID-19 pandemic in Maharashtra|Maharashtra]] |
||
| |
|2,044,071 |
||
| |
|51,310 |
||
|1, |
|1,955,548 |
||
| |
|37,213 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Manipur|Manipur]] |
! scope="row" |[[COVID-19 pandemic in Manipur|Manipur]] |
||
| |
|29,126 |
||
| |
|373 |
||
| |
|28,654 |
||
|99 |
|||
|2,972 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Meghalaya|Meghalaya]] |
! scope="row" |[[COVID-19 pandemic in Meghalaya|Meghalaya]] |
||
| |
|13,885 |
||
| |
|147 |
||
| |
|13,601 |
||
| |
|137 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Mizoram|Mizoram]] |
! scope="row" |[[COVID-19 pandemic in Mizoram|Mizoram]] |
||
| |
|4,383 |
||
| |
|9 |
||
| |
|4,350 |
||
| |
|24 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Nagaland|Nagaland]] |
! scope="row" |[[COVID-19 pandemic in Nagaland|Nagaland]] |
||
| |
|12,158 |
||
| |
|88 |
||
| |
|11,975 |
||
|95 |
|||
|1,375 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Odisha|Odisha]] |
! scope="row" |[[COVID-19 pandemic in Odisha|Odisha]] |
||
| |
|335,620 |
||
|1, |
|1,909 |
||
| |
|332,948 |
||
|763 |
|||
|6,790 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Puducherry|Puducherry]] |
! scope="row" |[[COVID-19 pandemic in Puducherry|Puducherry]] |
||
| |
|39,292 |
||
| |
|654 |
||
| |
|38,326 |
||
| |
|312 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Punjab, India|Punjab]] |
! scope="row" |[[COVID-19 pandemic in Punjab, India|Punjab]] |
||
| |
|174,646 |
||
| |
|5,642 |
||
| |
|166,828 |
||
| |
|2,176 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Rajasthan|Rajasthan]] |
! scope="row" |[[COVID-19 pandemic in Rajasthan|Rajasthan]] |
||
| |
|318,193 |
||
|2, |
|2,772 |
||
| |
|313,957 |
||
| |
|1,464 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Sikkim|Sikkim]] |
! scope="row" |[[COVID-19 pandemic in Sikkim|Sikkim]] |
||
| |
|6,110 |
||
| |
|135 |
||
| |
|5,905 |
||
| |
|70 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Tamil Nadu|Tamil Nadu]] |
! scope="row" |[[COVID-19 pandemic in Tamil Nadu|Tamil Nadu]] |
||
| |
|841,797 |
||
| |
|12,383 |
||
| |
|825,025 |
||
| |
|4,389 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Telangana|Telangana]] |
! scope="row" |[[COVID-19 pandemic in Telangana|Telangana]] |
||
| |
|295,682 |
||
|1, |
|1,611 |
||
| |
|292,229 |
||
| |
|1,842 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Tripura|Tripura]] |
! scope="row" |[[COVID-19 pandemic in Tripura|Tripura]] |
||
| |
|33,352 |
||
| |
|391 |
||
| |
|32,953 |
||
| |
|8 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Uttarakhand|Uttarakhand]] |
! scope="row" |[[COVID-19 pandemic in Uttarakhand|Uttarakhand]] |
||
| |
|96,493 |
||
|1, |
|1,668 |
||
| |
|93,913 |
||
|912 |
|||
|4,082 |
|||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in Uttar Pradesh|Uttar Pradesh]] |
! scope="row" |[[COVID-19 pandemic in Uttar Pradesh|Uttar Pradesh]] |
||
| |
|601,385 |
||
| |
|8,687 |
||
| |
|588,818 |
||
| |
|3,880 |
||
|- |
|- |
||
! scope="row" |[[COVID-19 pandemic in West Bengal|West Bengal]] |
! scope="row" |[[COVID-19 pandemic in West Bengal|West Bengal]] |
||
| |
|571,371 |
||
| |
|10,207 |
||
| |
|556,370 |
||
| |
|4,794 |
||
|- class="sortbottom" style="text-align:center;" |
|- class="sortbottom" style="text-align:center;" |
||
| colspan="5" |<small>As of {{TODAY}}</small><ref>{{Cite web|url=https://www.mohfw.gov.in/|title=Home {{!}} Ministry of Health and Family Welfare {{!}} GOI|website=www.mohfw.gov.in|access-date={{TODAY}}}}</ref> |
| colspan="5" |<small>As of {{TODAY}}</small><ref>{{Cite web|url=https://www.mohfw.gov.in/|title=Home {{!}} Ministry of Health and Family Welfare {{!}} GOI|website=www.mohfw.gov.in|access-date={{TODAY}}}}</ref> |
13:52, 8 ഫെബ്രുവരി 2021-നു നിലവിലുണ്ടായിരുന്ന രൂപം
State/Union Territory | Cases[a] | Deaths | Recoveries | Active | ||||
---|---|---|---|---|---|---|---|---|
36 / 36 | 10,838,194 | 155,080 | 10,534,505 | 148,609 | ||||
Andaman and Nicobar Islands | 5,001 | 62 | 4,932 | 7 | ||||
Andhra Pradesh | 888,423 | 7,159 | 880,261 | 1,003 | ||||
Arunachal Pradesh | 16,830 | 56 | 16,767 | 7 | ||||
Assam | 217,210[b] | 1,084 | 214,447 | 1,679 | ||||
Bihar | 260,270 | 1,516 | 258,221 | 533 | ||||
Chandigarh | 21,107 | 340 | 20,598 | 169 | ||||
Chhattisgarh | 307,525 | 3,741 | 299,494 | 4,290 | ||||
Dadra and Nagar Haveli and Daman and Diu | 3,398 | 2 | 3,395 | 1 | ||||
Delhi | 636,035 | 10,879 | 624,044 | 1,112 | ||||
Goa | 53,880 | 772 | 52,347 | 761 | ||||
Gujarat | 263,444 | 4,395 | 256,670 | 2,379 | ||||
Haryana | 268,431 | 3,029 | 264,519 | 883 | ||||
Himachal Pradesh | 57,896 | 984 | 56,448 | 464 | ||||
Jammu and Kashmir | 124,909 | 1,944 | 122,335 | 630 | ||||
Jharkhand | 119,017 | 1,078 | 117,508 | 431 | ||||
Karnataka | 942,518 | 12,236 | 924,304 | 5,978 | ||||
Kerala | 968,438 | 3,867[c] | 896,668 | 67,903 | ||||
Ladakh | 9,747 | 130 | 9,545 | 72 | ||||
Lakshadweep | 153 | 0 | 65 | 88 | ||||
Madhya Pradesh | 256,398 | 3,820 | 250,537 | 2,041 | ||||
Maharashtra | 2,044,071 | 51,310 | 1,955,548 | 37,213 | ||||
Manipur | 29,126 | 373 | 28,654 | 99 | ||||
Meghalaya | 13,885 | 147 | 13,601 | 137 | ||||
Mizoram | 4,383 | 9 | 4,350 | 24 | ||||
Nagaland | 12,158 | 88 | 11,975 | 95 | ||||
Odisha | 335,620 | 1,909 | 332,948 | 763 | ||||
Puducherry | 39,292 | 654 | 38,326 | 312 | ||||
Punjab | 174,646 | 5,642 | 166,828 | 2,176 | ||||
Rajasthan | 318,193 | 2,772 | 313,957 | 1,464 | ||||
Sikkim | 6,110 | 135 | 5,905 | 70 | ||||
Tamil Nadu | 841,797 | 12,383 | 825,025 | 4,389 | ||||
Telangana | 295,682 | 1,611 | 292,229 | 1,842 | ||||
Tripura | 33,352 | 391 | 32,953 | 8 | ||||
Uttarakhand | 96,493 | 1,668 | 93,913 | 912 | ||||
Uttar Pradesh | 601,385 | 8,687 | 588,818 | 3,880 | ||||
West Bengal | 571,371 | 10,207 | 556,370 | 4,794 | ||||
As of 28 മാർച്ച് 2024[5] | ||||||||
Notes
|
References
- ↑ "Nagaland registers first COVID-19 case; patient undergoing treatment at hospital in Assam". Republic (in ഇംഗ്ലീഷ്). 12 April 2020. Retrieved 2 May 2020.
- ↑ "Covid-19 Advisory Assam". assam.gov.in (in ഇംഗ്ലീഷ്). Retrieved 28 മാർച്ച് 2024.
- ↑ Jacob, Jeemon (11 April 2020). "Social activist from Puducherry becomes Kerala's third coronavirus casualty". The India Today. Retrieved 19 April 2020.
- ↑ "Date wise report, Kerala Covid 19 battle". The Government of Kerala. Retrieved 19 April 2020.
- ↑ "Home | Ministry of Health and Family Welfare | GOI". www.mohfw.gov.in. Retrieved 28 മാർച്ച് 2024.