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Welcome to the Regeneron COVID-19 Dashboard
This dashboard contains aggregated information on SARS-CoV-2 (hCoV-19) genomes and associated patient metadata, gathered in partnership with the GISAID initiative.
The goal of the dashboard is to enable scientists to understand the evolution of this emerging coronavirus by monitoring and displaying pertinent information. For example, the dashboard displays the novel mutations in SARS-CoV-2 (hCoV-19) genomes across time and geographical location, which facilitates the identification of a mutation that may increase transmission or virulence.
In addition, there is de-identified patient demographic information such as country of origin, patient status, and age, which provides further insights into the populations most susceptible to the virus.
Top Lineages Per Country (Past 12 Weeks)
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Top* Lineages (Past 12 Weeks)
| Lineage | Country | Percent | Lineage Count | Total Count | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
B.1.1.7B.1.1.7 Mutations
|
Slovakia | 99% | 519 | 523 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Denmark | 97% | 21,323 | 21,979 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Poland | 96% | 5,529 | 5,743 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Sweden | 96% | 9,702 | 10,107 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Netherlands | 95% | 8,571 | 9,042 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Lithuania | 95% | 3,668 | 3,877 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Norway | 94% | 1,939 | 2,058 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Germany | 94% | 46,616 | 49,730 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Slovenia | 92% | 2,849 | 3,084 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Switzerland | 92% | 8,239 | 8,940 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Czechia | 91% | 656 | 717 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Austria | 90% | 938 | 1,039 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Ireland | 90% | 4,283 | 4,745 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Italy | 85% | 5,390 | 6,356 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Romania | 84% | 141 | 167 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Latvia | 83% | 114 | 138 | ||||||
B.1.1.7B.1.1.7 Mutations
|
France | 82% | 8,563 | 10,486 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Belgium | 81% | 5,638 | 6,934 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Finland | 81% | 362 | 446 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Luxembourg | 80% | 1,464 | 1,825 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Spain | 79% | 4,300 | 5,436 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Portugal | 79% | 937 | 1,185 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Greece | 77% | 2,076 | 2,695 | ||||||
B.1B.1 Mutations
|
Turkey | 57% | 282 | 491 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Malta | 55% | 49 | 89 | ||||||
B.1.617.2B.1.617.2 Mutations
|
United Kingdom | 52% | 31,313 | 60,488 | ||||||
B.1.1.7B.1.1.7 Mutations
|
United Kingdom | 46% | 27,929 | 60,488 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Russia | 41% | 272 | 662 | ||||||
P.1P.1 Mutations
|
Malta | 20% | 18 | 89 | ||||||
B.1.1.318B.1.1.318 Mutations
|
Greece | 20% | 527 | 2,695 | ||||||
B.1.1B.1.1 Mutations
|
Turkey | 17% | 82 | 491 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Russia | 15% | 102 | 662 | ||||||
B.1.177.79B.1.177.79 Mutations
|
Latvia | 12% | 16 | 138 | ||||||
B.1.351B.1.351 Mutations
|
Finland | 10% | 46 | 446 |
| Lineage | Country | Percent | Lineage Count | Total Count | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
B.1.1.7B.1.1.7 Mutations
|
Sint Maarten | 87% | 123 | 142 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Puerto Rico | 73% | 182 | 249 | ||||||
B.1.1.7B.1.1.7 Mutations
|
United States | 66% | 67,413 | 101,720 | ||||||
B.1.1.519B.1.1.519 Mutations
|
Mexico | 55% | 1,602 | 2,934 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Costa Rica | 49% | 33 | 67 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Canada | 48% | 1,460 | 3,065 | ||||||
A.2.5.1A.2.5.1 Mutations
|
Costa Rica | 21% | 14 | 67 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Mexico | 19% | 559 | 2,934 | ||||||
P.1P.1 Mutations
|
Costa Rica | 16% | 11 | 67 | ||||||
B.1.438.1B.1.438.1 Mutations
|
Canada | 13% | 407 | 3,065 | ||||||
P.1P.1 Mutations
|
Canada | 12% | 383 | 3,065 | ||||||
B.1.526.2B.1.526.2 Mutations
|
Puerto Rico | 11% | 27 | 249 |
| Lineage | Country | Percent | Lineage Count | Total Count | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
B.1.1.7B.1.1.7 Mutations
|
Cambodia | 93% | 200 | 215 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Sri Lanka | 91% | 135 | 149 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Vietnam | 84% | 72 | 86 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Singapore | 83% | 668 | 805 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Israel | 83% | 406 | 492 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Thailand | 79% | 537 | 676 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Japan | 78% | 5,173 | 6,669 | ||||||
B.1.617.2B.1.617.2 Mutations
|
India | 72% | 2,234 | 3,116 | ||||||
B.1.351.3B.1.351.3 Mutations
|
Bangladesh | 45% | 70 | 155 | ||||||
B.1B.1 Mutations
|
Qatar | 43% | 92 | 213 | ||||||
B.1.1.7B.1.1.7 Mutations
|
South Korea | 40% | 243 | 615 | ||||||
B.1.351B.1.351 Mutations
|
Qatar | 37% | 79 | 213 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Indonesia | 36% | 46 | 127 | ||||||
B.1.497B.1.497 Mutations
|
South Korea | 36% | 220 | 615 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Bangladesh | 28% | 43 | 155 | ||||||
B.1.466.2B.1.466.2 Mutations
|
Indonesia | 20% | 26 | 127 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Vietnam | 16% | 14 | 86 | ||||||
R.1R.1 Mutations
|
Japan | 15% | 1,031 | 6,669 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Indonesia | 14% | 18 | 127 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Thailand | 14% | 93 | 676 | ||||||
B.1.620B.1.620 Mutations
|
South Korea | 11% | 70 | 615 |
| Lineage | Country | Percent | Lineage Count | Total Count | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
B.1.617.2B.1.617.2 Mutations
|
Australia | 36% | 135 | 373 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Australia | 25% | 95 | 373 | ||||||
B.1.617.1B.1.617.1 Mutations
|
Australia | 18% | 68 | 373 |
| Lineage | Country | Percent | Lineage Count | Total Count | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
P.1P.1 Mutations
|
French Guiana | 84% | 80 | 95 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Curacao | 81% | 63 | 78 | ||||||
P.1P.1 Mutations
|
Suriname | 76% | 51 | 67 | ||||||
P.1P.1 Mutations
|
Brazil | 63% | 2,706 | 4,263 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Aruba | 57% | 183 | 322 | ||||||
B.1.621B.1.621 Mutations
|
Colombia | 40% | 57 | 144 | ||||||
P.1P.1 Mutations
|
Chile | 36% | 345 | 951 | ||||||
P.1P.1 Mutations
|
Argentina | 35% | 103 | 293 | ||||||
C.37C.37 Mutations
|
Chile | 33% | 315 | 951 | ||||||
P.4P.4 Mutations
|
Brazil | 28% | 1,180 | 4,263 | ||||||
P.1P.1 Mutations
|
Colombia | 25% | 36 | 144 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Ecuador | 24% | 62 | 262 | ||||||
B.1.526B.1.526 Mutations
|
Ecuador | 21% | 56 | 262 | ||||||
C.37C.37 Mutations
|
Argentina | 16% | 48 | 293 | ||||||
B.1.526B.1.526 Mutations
|
Aruba | 15% | 49 | 322 | ||||||
P.1P.1 Mutations
|
Aruba | 15% | 47 | 322 | ||||||
B.1.526B.1.526 Mutations
|
Colombia | 15% | 21 | 144 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Argentina | 13% | 38 | 293 | ||||||
B.1.1.7B.1.1.7 Mutations
|
French Guiana | 12% | 11 | 95 | ||||||
B.1.621B.1.621 Mutations
|
Curacao | 10% | 8 | 78 | ||||||
N.5N.5 Mutations
|
Argentina | 10% | 30 | 293 |
| Lineage | Country | Percent | Lineage Count | Total Count | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
B.1.351B.1.351 Mutations
|
Botswana | 92% | 96 | 104 | ||||||
B.1.351B.1.351 Mutations
|
South Africa | 86% | 339 | 395 | ||||||
B.1.351.2B.1.351.2 Mutations
|
Reunion | 71% | 59 | 83 | ||||||
C.36C.36 Mutations
|
Egypt | 35% | 28 | 81 | ||||||
B.1.351B.1.351 Mutations
|
Reunion | 28% | 23 | 83 | ||||||
C.36.3C.36.3 Mutations
|
Egypt | 21% | 17 | 81 |
| Lineage | State | Percent | Lineage Count | Total Count | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
B.1.1.7B.1.1.7 Mutations
|
Louisiana | 88% | 512 | 583 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Tennessee | 86% | 933 | 1,088 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Nebraska | 85% | 370 | 433 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Mississippi | 85% | 188 | 222 | ||||||
B.1.1.7B.1.1.7 Mutations
|
South Dakota | 84% | 90 | 107 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Michigan | 81% | 2,700 | 3,339 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Minnesota | 81% | 5,852 | 7,253 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Georgia | 81% | 1,047 | 1,300 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Iowa | 80% | 140 | 175 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Colorado | 80% | 4,093 | 5,123 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Oklahoma | 80% | 102 | 128 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Kentucky | 79% | 350 | 443 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Texas | 79% | 4,251 | 5,410 | ||||||
B.1.1.7B.1.1.7 Mutations
|
North Dakota | 78% | 609 | 777 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Ohio | 77% | 1,576 | 2,052 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Maryland | 77% | 1,895 | 2,477 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Alabama | 76% | 162 | 212 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Missouri | 75% | 577 | 767 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Virginia | 74% | 1,047 | 1,409 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Montana | 73% | 238 | 325 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Idaho | 72% | 136 | 190 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Nevada | 71% | 309 | 437 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Utah | 70% | 828 | 1,175 | ||||||
B.1.1.7B.1.1.7 Mutations
|
New Mexico | 70% | 582 | 833 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Indiana | 69% | 1,495 | 2,153 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Delaware | 69% | 367 | 530 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Florida | 69% | 5,353 | 7,790 | ||||||
B.1.1.7B.1.1.7 Mutations
|
South Carolina | 69% | 411 | 599 | ||||||
B.1.1.7B.1.1.7 Mutations
|
District of Columbia | 68% | 137 | 200 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Pennsylvania | 68% | 2,462 | 3,622 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Wisconsin | 67% | 1,221 | 1,834 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Wyoming | 66% | 345 | 519 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Arkansas | 66% | 173 | 263 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Arizona | 65% | 1,149 | 1,759 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Vermont | 65% | 305 | 468 | ||||||
B.1.1.7B.1.1.7 Mutations
|
North Carolina | 64% | 1,691 | 2,658 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Kansas | 64% | 776 | 1,221 | ||||||
B.1.1.7B.1.1.7 Mutations
|
West Virginia | 61% | 869 | 1,424 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Connecticut | 60% | 1,123 | 1,858 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Washington | 60% | 4,297 | 7,206 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Illinois | 58% | 3,116 | 5,412 | ||||||
B.1.1.7B.1.1.7 Mutations
|
California | 57% | 3,690 | 6,468 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Hawaii | 57% | 112 | 198 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Massachusetts | 54% | 3,420 | 6,376 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Oregon | 53% | 903 | 1,693 | ||||||
B.1.1.519B.1.1.519 Mutations
|
Alaska | 53% | 471 | 890 | ||||||
B.1.1.7B.1.1.7 Mutations
|
New Jersey | 53% | 1,229 | 2,335 | ||||||
B.1.1.7B.1.1.7 Mutations
|
New Hampshire | 53% | 367 | 699 | ||||||
B.1.1.7B.1.1.7 Mutations
|
New York | 51% | 2,682 | 5,267 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Rhode Island | 45% | 513 | 1,139 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Maine | 39% | 335 | 853 |
Top Emerging* Lineages (Past 12 Weeks)
| Lineage | Country | 2-Week Period | Change | Previous Support | Current Support | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
B.1.617.2B.1.617.2 Mutations
|
Russia | 2021-05-17 | 23% -> 66% (+43%) | 45 / 192 | 188 / 284 | ||||||
B.1.617.2B.1.617.2 Mutations
|
United Kingdom | 2021-05-17 | 33% -> 73% (+40%) | 4,621 / 13,984 | 15,466 / 21,223 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Portugal | 2021-05-17 | 4% -> 40% (+36%) | 41 / 1,052 | 17 / 43 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Malta | 2021-05-03 | 39% -> 72% (+33%) | 17 / 44 | 23 / 32 | ||||||
B.1.1.318B.1.1.318 Mutations
|
Greece | 2021-05-17 | 17% -> 48% (+32%) | 199 / 1,197 | 129 / 266 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Turkey | 2021-05-17 | 1% -> 17% (+16%) | 4 / 290 | 10 / 59 | ||||||
B.1.575B.1.575 Mutations
|
Spain | 2021-05-31 | 2% -> 17% (+15%) | 19 / 1,195 | 70 / 422 | ||||||
B.1.351B.1.351 Mutations
|
France | 2021-05-31 | 5% -> 14% (+9%) | 100 / 2,172 | 11 / 81 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Luxembourg | 2021-05-17 | 4% -> 11% (+8%) | 24 / 670 | 25 / 219 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Czechia | 2021-05-03 | 0% -> 6% (+5%) | 1 / 480 | 12 / 218 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Germany | 2021-05-31 | 3% -> 7% (+4%) | 230 / 7,964 | 65 / 913 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Norway | 2021-05-03 | 1% -> 4% (+4%) | 5 / 816 | 34 / 790 | ||||||
B.1.617.1B.1.617.1 Mutations
|
Ireland | 2021-05-17 | 1% -> 5% (+3%) | 23 / 1,581 | 61 / 1,291 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Belgium | 2021-05-17 | 2% -> 5% (+3%) | 41 / 2,043 | 89 / 1,857 | ||||||
B.1B.1 Mutations
|
Italy | 2021-05-03 | 1% -> 3% (+2%) | 30 / 3,247 | 55 / 1,629 | ||||||
C.36.3C.36.3 Mutations
|
Austria | 2021-05-03 | 1% -> 3% (+2%) | 4 / 380 | 14 / 502 | ||||||
B.1.1B.1.1 Mutations
|
Poland | 2021-05-17 | 1% -> 3% (+2%) | 26 / 2,377 | 25 / 958 |
| Lineage | Country | 2-Week Period | Change | Previous Support | Current Support | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
B.1.617.2B.1.617.2 Mutations
|
Canada | 2021-05-17 | 10% -> 47% (+38%) | 13 / 134 | 45 / 95 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Mexico | 2021-05-17 | 19% -> 36% (+17%) | 243 / 1,281 | 133 / 369 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Sint Maarten | 2021-05-17 | 77% -> 90% (+13%) | 20 / 26 | 75 / 83 | ||||||
B.1.617.2B.1.617.2 Mutations
|
United States | 2021-05-31 | 5% -> 15% (+9%) | 665 / 12,354 | 76 / 515 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Costa Rica | 2021-05-03 | 45% -> 55% (+9%) | 15 / 33 | 12 / 22 | ||||||
B.1.526.1B.1.526.1 Mutations
|
Puerto Rico | 2021-05-03 | 1% -> 9% (+8%) | 1 / 168 | 5 / 57 |
| Lineage | Country | 2-Week Period | Change | Previous Support | Current Support | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
B.1.617.2B.1.617.2 Mutations
|
Indonesia | 2021-05-31 | 27% -> 72% (+45%) | 7 / 26 | 18 / 25 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Vietnam | 2021-05-03 | 68% -> 96% (+28%) | 25 / 37 | 45 / 47 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Bangladesh | 2021-05-03 | 9% -> 36% (+27%) | 5 / 54 | 16 / 44 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Japan | 2021-05-17 | 4% -> 30% (+26%) | 65 / 1,669 | 16 / 53 | ||||||
B.1B.1 Mutations
|
Qatar | 2021-05-03 | 32% -> 58% (+25%) | 38 / 117 | 34 / 59 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Thailand | 2021-05-17 | 10% -> 30% (+20%) | 47 / 488 | 45 / 151 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Singapore | 2021-05-03 | 64% -> 83% (+19%) | 123 / 191 | 173 / 208 | ||||||
B.1.617.2B.1.617.2 Mutations
|
India | 2021-05-03 | 66% -> 82% (+16%) | 1,357 / 2,047 | 872 / 1,062 | ||||||
B.1.1.7B.1.1.7 Mutations
|
South Korea | 2021-05-03 | 36% -> 51% (+15%) | 169 / 470 | 71 / 139 | ||||||
C.37C.37 Mutations
|
Israel | 2021-05-03 | 0% -> 11% (+11%) | 1 / 336 | 17 / 156 |
| Lineage | Country | 2-Week Period | Change | Previous Support | Current Support | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
B.1.617.1B.1.617.1 Mutations
|
Australia | 2021-05-17 | 4% -> 48% (+45%) | 3 / 83 | 31 / 64 |
| Lineage | Country | 2-Week Period | Change | Previous Support | Current Support | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
P.1P.1 Mutations
|
Chile | 2021-05-17 | 39% -> 61% (+22%) | 190 / 486 | 22 / 36 | ||||||
B.1.621B.1.621 Mutations
|
Curacao | 2021-05-03 | 2% -> 24% (+22%) | 1 / 45 | 6 / 25 | ||||||
P.1P.1 Mutations
|
Colombia | 2021-05-03 | 20% -> 35% (+15%) | 21 / 104 | 13 / 37 | ||||||
P.4P.4 Mutations
|
Brazil | 2021-05-03 | 20% -> 35% (+15%) | 343 / 1,689 | 429 / 1,221 | ||||||
P.1P.1 Mutations
|
Aruba | 2021-05-17 | 11% -> 24% (+13%) | 8 / 76 | 25 / 106 | ||||||
B.1B.1 Mutations
|
Ecuador | 2021-05-17 | 2% -> 14% (+13%) | 2 / 129 | 9 / 63 | ||||||
P.1P.1 Mutations
|
Argentina | 2021-05-03 | 32% -> 44% (+12%) | 72 / 223 | 31 / 70 | ||||||
B.1.1.7B.1.1.7 Mutations
|
French Guiana | 2021-05-03 | 8% -> 17% (+9%) | 2 / 24 | 6 / 35 |
| Lineage | Country | 2-Week Period | Change | Previous Support | Current Support | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
B.1.617.2B.1.617.2 Mutations
|
South Africa | 2021-05-03 | 2% -> 11% (+9%) | 5 / 249 | 15 / 139 |
| Lineage | State | 2-Week Period | Change | Previous Support | Current Support | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
B.1.617.2B.1.617.2 Mutations
|
Kansas | 2021-05-31 | 11% -> 39% (+28%) | 29 / 273 | 30 / 77 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Missouri | 2021-05-17 | 3% -> 29% (+26%) | 8 / 270 | 43 / 147 | ||||||
AY.1AY.1 Mutations
|
California | 2021-05-31 | 2% -> 25% (+22%) | 21 / 961 | 13 / 53 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Montana | 2021-05-03 | 57% -> 78% (+21%) | 62 / 108 | 97 / 124 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Rhode Island | 2021-05-17 | 46% -> 64% (+18%) | 220 / 481 | 41 / 64 | ||||||
B.1.1.7B.1.1.7 Mutations
|
South Dakota | 2021-05-03 | 80% -> 96% (+17%) | 59 / 74 | 27 / 28 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Arkansas | 2021-05-17 | 12% -> 29% (+16%) | 13 / 107 | 10 / 35 | ||||||
B.1.1.7B.1.1.7 Mutations
|
New Mexico | 2021-05-17 | 68% -> 83% (+15%) | 249 / 368 | 82 / 99 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Mississippi | 2021-05-17 | 79% -> 92% (+14%) | 81 / 103 | 59 / 64 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Colorado | 2021-05-17 | 4% -> 18% (+14%) | 92 / 2,138 | 60 / 337 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Wyoming | 2021-05-17 | 2% -> 15% (+13%) | 4 / 194 | 15 / 97 | ||||||
B.1.526.1B.1.526.1 Mutations
|
Maine | 2021-05-17 | 17% -> 30% (+12%) | 50 / 292 | 39 / 132 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Alaska | 2021-05-03 | 22% -> 34% (+12%) | 67 / 307 | 122 / 358 | ||||||
P.1P.1 Mutations
|
Oregon | 2021-05-17 | 13% -> 24% (+11%) | 67 / 512 | 45 / 186 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Alabama | 2021-05-03 | 1% -> 12% (+11%) | 1 / 85 | 9 / 74 | ||||||
B.1.526.2B.1.526.2 Mutations
|
Vermont | 2021-05-03 | 8% -> 19% (+10%) | 19 / 227 | 39 / 208 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Washington | 2021-05-03 | 57% -> 67% (+10%) | 2,098 / 3,704 | 1,562 / 2,343 | ||||||
P.1P.1 Mutations
|
Hawaii | 2021-05-03 | 9% -> 19% (+10%) | 14 / 152 | 7 / 37 | ||||||
B.1.1.7B.1.1.7 Mutations
|
South Carolina | 2021-05-17 | 65% -> 74% (+9%) | 154 / 236 | 83 / 112 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Utah | 2021-05-17 | 10% -> 19% (+9%) | 51 / 521 | 35 / 188 | ||||||
B.1.1.7B.1.1.7 Mutations
|
New Hampshire | 2021-05-03 | 48% -> 57% (+9%) | 153 / 316 | 157 / 275 | ||||||
P.1P.1 Mutations
|
Kentucky | 2021-05-17 | 4% -> 12% (+8%) | 7 / 175 | 11 / 89 | ||||||
P.1P.1 Mutations
|
Tennessee | 2021-05-17 | 5% -> 13% (+8%) | 20 / 369 | 20 / 153 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Ohio | 2021-05-17 | 74% -> 81% (+7%) | 449 / 604 | 199 / 245 | ||||||
B.1.1.7B.1.1.7 Mutations
|
District of Columbia | 2021-05-17 | 68% -> 75% (+7%) | 43 / 63 | 42 / 56 | ||||||
P.1P.1 Mutations
|
Delaware | 2021-05-17 | 6% -> 12% (+7%) | 8 / 139 | 7 / 56 | ||||||
P.1P.1 Mutations
|
Nevada | 2021-05-17 | 6% -> 12% (+6%) | 7 / 127 | 15 / 126 | ||||||
B.1.1.7B.1.1.7 Mutations
|
North Carolina | 2021-05-03 | 60% -> 66% (+6%) | 714 / 1,194 | 650 / 982 | ||||||
P.1P.1 Mutations
|
Nebraska | 2021-05-17 | 2% -> 9% (+6%) | 3 / 129 | 8 / 92 | ||||||
P.1P.1 Mutations
|
Connecticut | 2021-05-17 | 4% -> 10% (+6%) | 25 / 573 | 24 / 238 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Indiana | 2021-05-17 | 3% -> 8% (+6%) | 22 / 864 | 18 / 223 | ||||||
B.1.617.2B.1.617.2 Mutations
|
New Jersey | 2021-05-17 | 5% -> 10% (+6%) | 30 / 656 | 36 / 357 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Arizona | 2021-05-17 | 2% -> 7% (+5%) | 10 / 547 | 23 / 318 | ||||||
B.1.526B.1.526 Mutations
|
Georgia | 2021-05-17 | 3% -> 8% (+5%) | 14 / 506 | 8 / 98 | ||||||
B.1.1.7B.1.1.7 Mutations
|
New York | 2021-05-03 | 49% -> 55% (+5%) | 1,455 / 2,954 | 921 / 1,686 | ||||||
P.1P.1 Mutations
|
Wisconsin | 2021-05-17 | 8% -> 14% (+5%) | 44 / 523 | 22 / 162 | ||||||
B.1.1.7B.1.1.7 Mutations
|
Pennsylvania | 2021-05-03 | 65% -> 71% (+5%) | 1,364 / 2,085 | 839 / 1,189 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Virginia | 2021-05-17 | 2% -> 7% (+5%) | 10 / 487 | 20 / 305 | ||||||
P.1P.1 Mutations
|
North Dakota | 2021-05-17 | 2% -> 6% (+4%) | 5 / 290 | 6 / 97 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Texas | 2021-05-17 | 3% -> 7% (+4%) | 55 / 1,782 | 56 / 754 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Massachusetts | 2021-05-17 | 3% -> 7% (+4%) | 58 / 2,205 | 50 / 752 | ||||||
P.1P.1 Mutations
|
Minnesota | 2021-05-03 | 2% -> 4% (+3%) | 84 / 4,524 | 99 / 2,269 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Florida | 2021-05-17 | 2% -> 4% (+2%) | 40 / 2,613 | 25 / 692 | ||||||
P.1P.1 Mutations
|
Louisiana | 2021-05-03 | 1% -> 3% (+2%) | 3 / 206 | 7 / 219 | ||||||
B.1.617.2B.1.617.2 Mutations
|
Maryland | 2021-05-17 | 2% -> 3% (+2%) | 13 / 791 | 8 / 240 |
Data Timeline
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Dashboard Timeline
April 16, 2021
08:50PM
Dashboard UI/graphs updated
Added emerging lineages tracking and top lineages tracking per US state to home page
April 16, 2021
08:00PM
Dashboard backend pipeline overhauled
Overhauled backend pipeline to automatically download and QC data from GISAID daily
April 05, 2021
03:30PM
Dashboard UI/graphs updated
Added top and emerging lineage maps and graphs. Overhauled home page
March 23, 2021
06:00PM
Dashboard performance overhauled
Added caching and refactored all graphs for performance before public release
November 13, 2020
04:00PM
Dashboard UI/graphs updated
Broad-scale update across the entire dashboard to prepare for its launch onto the world wide web!
June 15, 2020
12:00AM
Dashboard graphs upgraded
Migrated dashboard graphs from Plotly to ECharts
June 04, 2020
08:06PM
Dashboard data source changed
Upgraded dashboard to use a database vs flat files. 3x reduction in load time
June 02, 2020
12:18PM
Dashboard UI upgraded
Overhauled dashboard user interface to use bs4dash
May 26, 2020
12:00AM
Variant tracking expanded
Began tracking variants in genes ORF1a and ORF1b
May 11, 2020
12:00AM
Variant tracking expanded
Began tracking variants in genes E, M, N, ORF3a, ORF7a, ORF8, and ORF10
April 27, 2020
12:00AM
Phylogenetic analysis added
Added tab containing viral genome evolutionary relationships
April 03, 2020
12:00AM
Automated QC pipeline created
Cleans up metadata fields such as age, collection date, gender, etc
April 02, 2020
10:36AM
First version of dashboard created
Created first version with shinydashboard. Data is ingested from flat files
March 31, 2020
12:00AM
Patient metadata tracking started
Began downloading patient metadata for all genomes
January 10, 2020
12:00AM
First data downloaded
Began downloading genomes from GISAID and subsequent variant calling
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