johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
25,862 rows where country_or_region = "Brazil" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
province_or_state 28
- Acre 151
- Alagoas 151
- Amapa 151
- Amazonas 151
- Bahia 151
- Ceara 151
- Distrito Federal 151
- Espirito Santo 151
- Goias 151
- Maranhao 151
- Mato Grosso 151
- Mato Grosso do Sul 151
- Minas Gerais 151
- Para 151
- Paraiba 151
- Parana 151
- Pernambuco 151
- Piaui 151
- Rio Grande do Norte 151
- Rio Grande do Sul 151
- Rio de Janeiro 151
- Rondonia 151
- Roraima 151
- Santa Catarina 151
- Sao Paulo 151
- Sergipe 151
- Tocantins 151
- Unknown 19
country_or_region 1
- Brazil · 4,181 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1026083 | 1026083 | 2020-10-17 | Brazil | Acre | 29693 | 679 | 27176 | 1838 | -9.0238 | -70.812 | 2020-10-18 04:24:25 | Acre, Brazil | ||
1026084 | 1026084 | 2020-10-17 | Brazil | Alagoas | 89365 | 2172 | 85557 | 1636 | -9.5713 | -36.782 | 2020-10-18 04:24:25 | Alagoas, Brazil | ||
1026085 | 1026085 | 2020-10-17 | Brazil | Amapa | 50150 | 731 | 36905 | 12514 | 0.902 | -52.003 | 2020-10-18 04:24:25 | Amapa, Brazil | ||
1026086 | 1026086 | 2020-10-17 | Brazil | Amazonas | 151186 | 4325 | 120012 | 26849 | -3.4168 | -65.8561 | 2020-10-18 04:24:25 | Amazonas, Brazil | ||
1026087 | 1026087 | 2020-10-17 | Brazil | Bahia | 334697 | 7288 | 311054 | 16355 | -12.5797 | -41.7007 | 2020-10-18 04:24:25 | Bahia, Brazil | ||
1026088 | 1026088 | 2020-10-17 | Brazil | Ceara | 264245 | 9207 | 223281 | 31757 | -5.4984 | -39.3206 | 2020-10-18 04:24:25 | Ceara, Brazil | ||
1026089 | 1026089 | 2020-10-17 | Brazil | Distrito Federal | 204304 | 3539 | 189807 | 10958 | -15.7998 | -47.8645 | 2020-10-18 04:24:25 | Distrito Federal, Brazil | ||
1026090 | 1026090 | 2020-10-17 | Brazil | Espirito Santo | 143954 | 3709 | 127835 | 12374 | -19.1834 | -40.3089 | 2020-10-18 04:24:25 | Espirito Santo, Brazil | ||
1026091 | 1026091 | 2020-10-17 | Brazil | Goias | 236814 | 5374 | 218177 | 13263 | -15.827 | -49.8362 | 2020-10-18 04:24:25 | Goias, Brazil | ||
1026092 | 1026092 | 2020-10-17 | Brazil | Maranhao | 180887 | 3923 | 167126 | 9838 | -4.9609 | -45.2744 | 2020-10-18 04:24:25 | Maranhao, Brazil | ||
1026093 | 1026093 | 2020-10-17 | Brazil | Mato Grosso | 135784 | 3712 | 112218 | 19206 | -12.6819 | -56.9211 | 2020-10-18 04:24:25 | Mato Grosso, Brazil | ||
1026094 | 1026094 | 2020-10-17 | Brazil | Mato Grosso do Sul | 77123 | 1493 | 68629 | 6896 | -20.7722 | -54.7852 | 2020-10-18 04:24:25 | Mato Grosso do Sul, Brazil | ||
1026095 | 1026095 | 2020-10-17 | Brazil | Minas Gerais | 333998 | 8405 | 286280 | 39313 | -18.5122 | -44.555 | 2020-10-18 04:24:25 | Minas Gerais, Brazil | ||
1026096 | 1026096 | 2020-10-17 | Brazil | Para | 241242 | 6677 | 221997 | 12293 | -1.9981 | -54.9306 | 2020-10-18 04:24:25 | Para, Brazil | ||
1026097 | 1026097 | 2020-10-17 | Brazil | Paraiba | 128416 | 2985 | 101073 | 24358 | -7.24 | -36.782 | 2020-10-18 04:24:25 | Paraiba, Brazil | ||
1026098 | 1026098 | 2020-10-17 | Brazil | Parana | 198744 | 4921 | 140100 | 53723 | -25.2521 | -52.0215 | 2020-10-18 04:24:25 | Parana, Brazil | ||
1026099 | 1026099 | 2020-10-17 | Brazil | Pernambuco | 155923 | 8480 | 131135 | 16308 | -8.8137 | -36.9541 | 2020-10-18 04:24:25 | Pernambuco, Brazil | ||
1026100 | 1026100 | 2020-10-17 | Brazil | Piaui | 106200 | 2286 | 99255 | 4305 | -7.7183 | -42.7289 | 2020-10-18 04:24:25 | Piaui, Brazil | ||
1026101 | 1026101 | 2020-10-17 | Brazil | Rio Grande do Norte | 77155 | 2560 | 42040 | 32258 | -5.4026 | -36.9541 | 2020-10-18 04:24:25 | Rio Grande do Norte, Brazil | ||
1026102 | 1026102 | 2020-10-17 | Brazil | Rio Grande do Sul | 222692 | 5342 | 198688 | 18662 | -30.0346 | -51.2177 | 2020-10-18 04:24:25 | Rio Grande do Sul, Brazil | ||
1026103 | 1026103 | 2020-10-17 | Brazil | Rio de Janeiro | 289569 | 19715 | 258928 | 10926 | -22.9068 | -43.1729 | 2020-10-18 04:24:25 | Rio de Janeiro, Brazil | ||
1026104 | 1026104 | 2020-10-17 | Brazil | Rondonia | 68907 | 1421 | 60189 | 7297 | -11.5057 | -63.5806 | 2020-10-18 04:24:25 | Rondonia, Brazil | ||
1026105 | 1026105 | 2020-10-17 | Brazil | Roraima | 54181 | 681 | 48508 | 4830 | -2.7376 | -62.0751 | 2020-10-18 04:24:25 | Roraima, Brazil | ||
1026106 | 1026106 | 2020-10-17 | Brazil | Santa Catarina | 234765 | 2966 | 213495 | 18304 | -27.2423 | -50.2189 | 2020-10-18 04:24:25 | Santa Catarina, Brazil | ||
1026107 | 1026107 | 2020-10-17 | Brazil | Sao Paulo | 1062634 | 37992 | 908199 | 116443 | -23.5505 | -46.6333 | 2020-10-18 04:24:25 | Sao Paulo, Brazil | ||
1026108 | 1026108 | 2020-10-17 | Brazil | Sergipe | 81119 | 2129 | 73030 | 5960 | -10.5741 | -37.3857 | 2020-10-18 04:24:25 | Sergipe, Brazil | ||
1026109 | 1026109 | 2020-10-17 | Brazil | Tocantins | 72594 | 1044 | 55699 | 15830 | -10.1753 | -48.2982 | 2020-10-18 04:24:25 | Tocantins, Brazil | ||
2856578 | 2856578 | 2020-10-16 | Brazil | Acre | 29598 | 679 | 27176 | 1743 | -9.0238 | -70.812 | 2020-10-17 04:24:12 | Acre, Brazil | ||
2856579 | 2856579 | 2020-10-16 | Brazil | Alagoas | 89278 | 2167 | 85557 | 1554 | -9.5713 | -36.782 | 2020-10-17 04:24:12 | Alagoas, Brazil | ||
2856580 | 2856580 | 2020-10-16 | Brazil | Amapa | 50072 | 730 | 36905 | 12437 | 0.902 | -52.003 | 2020-10-17 04:24:12 | Amapa, Brazil | ||
2856581 | 2856581 | 2020-10-16 | Brazil | Amazonas | 149784 | 4305 | 120012 | 25467 | -3.4168 | -65.8561 | 2020-10-17 04:24:12 | Amazonas, Brazil | ||
2856582 | 2856582 | 2020-10-16 | Brazil | Bahia | 332898 | 7267 | 311054 | 14577 | -12.5797 | -41.7007 | 2020-10-17 04:24:12 | Bahia, Brazil | ||
2856583 | 2856583 | 2020-10-16 | Brazil | Ceara | 264172 | 9202 | 223281 | 30663 | -5.4984 | -39.3206 | 2020-10-17 04:24:12 | Ceara, Brazil | ||
2856584 | 2856584 | 2020-10-16 | Brazil | Distrito Federal | 203576 | 3526 | 189807 | 10243 | -15.7998 | -47.8645 | 2020-10-17 04:24:12 | Distrito Federal, Brazil | ||
2856585 | 2856585 | 2020-10-16 | Brazil | Espirito Santo | 143093 | 3704 | 127835 | 11554 | -19.1834 | -40.3089 | 2020-10-17 04:24:12 | Espirito Santo, Brazil | ||
2856586 | 2856586 | 2020-10-16 | Brazil | Goias | 236726 | 5374 | 218177 | 12580 | -15.827 | -49.8362 | 2020-10-17 04:24:12 | Goias, Brazil | ||
2856587 | 2856587 | 2020-10-16 | Brazil | Maranhao | 180560 | 3914 | 167126 | 9520 | -4.9609 | -45.2744 | 2020-10-17 04:24:12 | Maranhao, Brazil | ||
2856588 | 2856588 | 2020-10-16 | Brazil | Mato Grosso | 135398 | 3703 | 112218 | 18829 | -12.6819 | -56.9211 | 2020-10-17 04:24:12 | Mato Grosso, Brazil | ||
2856589 | 2856589 | 2020-10-16 | Brazil | Mato Grosso do Sul | 77011 | 1486 | 68629 | 6440 | -20.7722 | -54.7852 | 2020-10-17 04:24:12 | Mato Grosso do Sul, Brazil | ||
2856590 | 2856590 | 2020-10-16 | Brazil | Minas Gerais | 331433 | 8345 | 286280 | 36808 | -18.5122 | -44.555 | 2020-10-17 04:24:12 | Minas Gerais, Brazil | ||
2856591 | 2856591 | 2020-10-16 | Brazil | Para | 240966 | 6676 | 221997 | 11556 | -1.9981 | -54.9306 | 2020-10-17 04:24:12 | Para, Brazil | ||
2856592 | 2856592 | 2020-10-16 | Brazil | Paraiba | 128032 | 2977 | 101073 | 23982 | -7.24 | -36.782 | 2020-10-17 04:24:12 | Paraiba, Brazil | ||
2856593 | 2856593 | 2020-10-16 | Brazil | Parana | 197941 | 4913 | 140100 | 52928 | -25.2521 | -52.0215 | 2020-10-17 04:24:12 | Parana, Brazil | ||
2856594 | 2856594 | 2020-10-16 | Brazil | Pernambuco | 155520 | 8469 | 131135 | 15916 | -8.8137 | -36.9541 | 2020-10-17 04:24:12 | Pernambuco, Brazil | ||
2856595 | 2856595 | 2020-10-16 | Brazil | Piaui | 105838 | 2278 | 99255 | 3632 | -7.7183 | -42.7289 | 2020-10-17 04:24:12 | Piaui, Brazil | ||
2856596 | 2856596 | 2020-10-16 | Brazil | Rio Grande do Norte | 77155 | 2560 | 42040 | 32073 | -5.4026 | -36.9541 | 2020-10-17 04:24:12 | Rio Grande do Norte, Brazil | ||
2856597 | 2856597 | 2020-10-16 | Brazil | Rio Grande do Sul | 220563 | 5312 | 198688 | 16563 | -30.0346 | -51.2177 | 2020-10-17 04:24:12 | Rio Grande do Sul, Brazil | ||
2856598 | 2856598 | 2020-10-16 | Brazil | Rio de Janeiro | 289440 | 19654 | 258928 | 10858 | -22.9068 | -43.1729 | 2020-10-17 04:24:12 | Rio de Janeiro, Brazil | ||
2856599 | 2856599 | 2020-10-16 | Brazil | Rondonia | 68823 | 1421 | 60189 | 7213 | -11.5057 | -63.5806 | 2020-10-17 04:24:12 | Rondonia, Brazil | ||
2856600 | 2856600 | 2020-10-16 | Brazil | Roraima | 54019 | 681 | 48508 | 4538 | -2.7376 | -62.0751 | 2020-10-17 04:24:12 | Roraima, Brazil | ||
2856601 | 2856601 | 2020-10-16 | Brazil | Santa Catarina | 232933 | 2962 | 213495 | 16476 | -27.2423 | -50.2189 | 2020-10-17 04:24:12 | Santa Catarina, Brazil | ||
2856602 | 2856602 | 2020-10-16 | Brazil | Sao Paulo | 1057240 | 37870 | 908199 | 111171 | -23.5505 | -46.6333 | 2020-10-17 04:24:12 | Sao Paulo, Brazil | ||
2856603 | 2856603 | 2020-10-16 | Brazil | Sergipe | 80925 | 2124 | 73030 | 5771 | -10.5741 | -37.3857 | 2020-10-17 04:24:12 | Sergipe, Brazil | ||
2856604 | 2856604 | 2020-10-16 | Brazil | Tocantins | 72571 | 1042 | 55699 | 15601 | -10.1753 | -48.2982 | 2020-10-17 04:24:12 | Tocantins, Brazil | ||
786108 | 786108 | 2020-10-15 | Brazil | Acre | 29406 | 677 | 27176 | 1553 | -9.0238 | -70.812 | 2020-10-16 04:24:01 | Acre, Brazil | ||
786109 | 786109 | 2020-10-15 | Brazil | Alagoas | 89192 | 2162 | 85557 | 1473 | -9.5713 | -36.782 | 2020-10-16 04:24:01 | Alagoas, Brazil | ||
786110 | 786110 | 2020-10-15 | Brazil | Amapa | 49890 | 729 | 36905 | 12256 | 0.902 | -52.003 | 2020-10-16 04:24:01 | Amapa, Brazil | ||
786111 | 786111 | 2020-10-15 | Brazil | Amazonas | 149366 | 4289 | 120012 | 25065 | -3.4168 | -65.8561 | 2020-10-16 04:24:01 | Amazonas, Brazil | ||
786112 | 786112 | 2020-10-15 | Brazil | Bahia | 331362 | 7243 | 311054 | 13065 | -12.5797 | -41.7007 | 2020-10-16 04:24:01 | Bahia, Brazil | ||
786113 | 786113 | 2020-10-15 | Brazil | Ceara | 262831 | 9199 | 223281 | 30094 | -5.4984 | -39.3206 | 2020-10-16 04:24:01 | Ceara, Brazil | ||
786114 | 786114 | 2020-10-15 | Brazil | Distrito Federal | 202786 | 3499 | 189807 | 9480 | -15.7998 | -47.8645 | 2020-10-16 04:24:01 | Distrito Federal, Brazil | ||
786115 | 786115 | 2020-10-15 | Brazil | Espirito Santo | 142419 | 3694 | 127835 | 10452 | -19.1834 | -40.3089 | 2020-10-16 04:24:01 | Espirito Santo, Brazil | ||
786116 | 786116 | 2020-10-15 | Brazil | Goias | 235228 | 5333 | 218177 | 10980 | -15.827 | -49.8362 | 2020-10-16 04:24:01 | Goias, Brazil | ||
786117 | 786117 | 2020-10-15 | Brazil | Maranhao | 180154 | 3906 | 167126 | 9122 | -4.9609 | -45.2744 | 2020-10-16 04:24:01 | Maranhao, Brazil | ||
786118 | 786118 | 2020-10-15 | Brazil | Mato Grosso | 134555 | 3693 | 112218 | 17999 | -12.6819 | -56.9211 | 2020-10-16 04:24:01 | Mato Grosso, Brazil | ||
786119 | 786119 | 2020-10-15 | Brazil | Mato Grosso do Sul | 76547 | 1478 | 68629 | 5903 | -20.7722 | -54.7852 | 2020-10-16 04:24:01 | Mato Grosso do Sul, Brazil | ||
786120 | 786120 | 2020-10-15 | Brazil | Minas Gerais | 328402 | 8267 | 286280 | 33855 | -18.5122 | -44.555 | 2020-10-16 04:24:01 | Minas Gerais, Brazil | ||
786121 | 786121 | 2020-10-15 | Brazil | Para | 240223 | 6670 | 221997 | 10855 | -1.9981 | -54.9306 | 2020-10-16 04:24:01 | Para, Brazil | ||
786122 | 786122 | 2020-10-15 | Brazil | Paraiba | 127456 | 2970 | 101073 | 23413 | -7.24 | -36.782 | 2020-10-16 04:24:01 | Paraiba, Brazil | ||
786123 | 786123 | 2020-10-15 | Brazil | Parana | 196616 | 4880 | 140100 | 51636 | -25.2521 | -52.0215 | 2020-10-16 04:24:01 | Parana, Brazil | ||
786124 | 786124 | 2020-10-15 | Brazil | Pernambuco | 154866 | 8456 | 131135 | 15275 | -8.8137 | -36.9541 | 2020-10-16 04:24:01 | Pernambuco, Brazil | ||
786125 | 786125 | 2020-10-15 | Brazil | Piaui | 105156 | 2269 | 99255 | 2813 | -7.7183 | -42.7289 | 2020-10-16 04:24:01 | Piaui, Brazil | ||
786126 | 786126 | 2020-10-15 | Brazil | Rio Grande do Norte | 76966 | 2556 | 42040 | 29876 | -5.4026 | -36.9541 | 2020-10-16 04:24:01 | Rio Grande do Norte, Brazil | ||
786127 | 786127 | 2020-10-15 | Brazil | Rio Grande do Sul | 218835 | 5282 | 198688 | 14865 | -30.0346 | -51.2177 | 2020-10-16 04:24:01 | Rio Grande do Sul, Brazil | ||
786128 | 786128 | 2020-10-15 | Brazil | Rio de Janeiro | 286282 | 19555 | 258928 | 7799 | -22.9068 | -43.1729 | 2020-10-16 04:24:01 | Rio de Janeiro, Brazil | ||
786129 | 786129 | 2020-10-15 | Brazil | Rondonia | 68612 | 1416 | 60189 | 7007 | -11.5057 | -63.5806 | 2020-10-16 04:24:01 | Rondonia, Brazil | ||
786130 | 786130 | 2020-10-15 | Brazil | Roraima | 53726 | 680 | 48508 | 4168 | -2.7376 | -62.0751 | 2020-10-16 04:24:01 | Roraima, Brazil | ||
786131 | 786131 | 2020-10-15 | Brazil | Santa Catarina | 231412 | 2952 | 213495 | 14965 | -27.2423 | -50.2189 | 2020-10-16 04:24:01 | Santa Catarina, Brazil | ||
786132 | 786132 | 2020-10-15 | Brazil | Sao Paulo | 1051613 | 37690 | 908199 | 105724 | -23.5505 | -46.6333 | 2020-10-16 04:24:01 | Sao Paulo, Brazil | ||
786133 | 786133 | 2020-10-15 | Brazil | Sergipe | 80733 | 2118 | 73030 | 5585 | -10.5741 | -37.3857 | 2020-10-16 04:24:01 | Sergipe, Brazil | ||
786134 | 786134 | 2020-10-15 | Brazil | Tocantins | 72335 | 1035 | 55699 | 15255 | -10.1753 | -48.2982 | 2020-10-16 04:24:01 | Tocantins, Brazil | ||
78819 | 78819 | 2020-10-14 | Brazil | Acre | 29301 | 676 | 27176 | 1449 | -9.0238 | -70.812 | 2020-10-15 04:24:28 | Acre, Brazil | ||
78820 | 78820 | 2020-10-14 | Brazil | Alagoas | 89082 | 2157 | 85557 | 1368 | -9.5713 | -36.782 | 2020-10-15 04:24:28 | Alagoas, Brazil | ||
78821 | 78821 | 2020-10-14 | Brazil | Amapa | 49745 | 728 | 36905 | 12112 | 0.902 | -52.003 | 2020-10-15 04:24:28 | Amapa, Brazil | ||
78822 | 78822 | 2020-10-14 | Brazil | Amazonas | 148518 | 4268 | 120012 | 24238 | -3.4168 | -65.8561 | 2020-10-15 04:24:28 | Amazonas, Brazil | ||
78823 | 78823 | 2020-10-14 | Brazil | Bahia | 329787 | 7214 | 311054 | 11519 | -12.5797 | -41.7007 | 2020-10-15 04:24:28 | Bahia, Brazil | ||
78824 | 78824 | 2020-10-14 | Brazil | Ceara | 261504 | 9184 | 223281 | 28825 | -5.4984 | -39.3206 | 2020-10-15 04:24:28 | Ceara, Brazil | ||
78825 | 78825 | 2020-10-14 | Brazil | Distrito Federal | 202058 | 3488 | 189807 | 8763 | -15.7998 | -47.8645 | 2020-10-15 04:24:28 | Distrito Federal, Brazil | ||
78826 | 78826 | 2020-10-14 | Brazil | Espirito Santo | 141548 | 3689 | 127835 | 9939 | -19.1834 | -40.3089 | 2020-10-15 04:24:28 | Espirito Santo, Brazil | ||
78827 | 78827 | 2020-10-14 | Brazil | Goias | 233318 | 5289 | 218177 | 9006 | -15.827 | -49.8362 | 2020-10-15 04:24:28 | Goias, Brazil | ||
78828 | 78828 | 2020-10-14 | Brazil | Maranhao | 179654 | 3896 | 167126 | 8632 | -4.9609 | -45.2744 | 2020-10-15 04:24:28 | Maranhao, Brazil | ||
78829 | 78829 | 2020-10-14 | Brazil | Mato Grosso | 133864 | 3677 | 112218 | 17327 | -12.6819 | -56.9211 | 2020-10-15 04:24:28 | Mato Grosso, Brazil | ||
78830 | 78830 | 2020-10-14 | Brazil | Mato Grosso do Sul | 76001 | 1469 | 68629 | 5468 | -20.7722 | -54.7852 | 2020-10-15 04:24:28 | Mato Grosso do Sul, Brazil | ||
78831 | 78831 | 2020-10-14 | Brazil | Minas Gerais | 325972 | 8171 | 286280 | 31521 | -18.5122 | -44.555 | 2020-10-15 04:24:28 | Minas Gerais, Brazil | ||
78832 | 78832 | 2020-10-14 | Brazil | Para | 239519 | 6667 | 221997 | 10177 | -1.9981 | -54.9306 | 2020-10-15 04:24:28 | Para, Brazil | ||
78833 | 78833 | 2020-10-14 | Brazil | Paraiba | 126791 | 2958 | 101073 | 22760 | -7.24 | -36.782 | 2020-10-15 04:24:28 | Paraiba, Brazil | ||
78834 | 78834 | 2020-10-14 | Brazil | Parana | 195605 | 4822 | 140100 | 50683 | -25.2521 | -52.0215 | 2020-10-15 04:24:28 | Parana, Brazil | ||
78835 | 78835 | 2020-10-14 | Brazil | Pernambuco | 154041 | 8438 | 131135 | 14468 | -8.8137 | -36.9541 | 2020-10-15 04:24:28 | Pernambuco, Brazil | ||
78836 | 78836 | 2020-10-14 | Brazil | Piaui | 104329 | 2261 | 99255 | 1957 | -7.7183 | -42.7289 | 2020-10-15 04:24:28 | Piaui, Brazil | ||
78837 | 78837 | 2020-10-14 | Brazil | Rio Grande do Norte | 74642 | 2443 | 42040 | 29227 | -5.4026 | -36.9541 | 2020-10-15 04:24:28 | Rio Grande do Norte, Brazil |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [johns_hopkins_csse_daily_reports] ( [day] TEXT, [country_or_region] TEXT, [province_or_state] TEXT, [admin2] TEXT, [fips] TEXT, [confirmed] INTEGER, [deaths] INTEGER, [recovered] INTEGER, [active] TEXT, [latitude] TEXT, [longitude] TEXT, [last_update] TEXT, [combined_key] TEXT ); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_day] ON [johns_hopkins_csse_daily_reports] ([day]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_province_or_state] ON [johns_hopkins_csse_daily_reports] ([province_or_state]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_country_or_region] ON [johns_hopkins_csse_daily_reports] ([country_or_region]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_combined_key] ON [johns_hopkins_csse_daily_reports] ([combined_key]);