Detect and analyze local SARS-CoV-2 variants
Search lineages and mutations across your manually imported sequence data, filtered by time and geography.
174,313 sequences
Collection 2025-06-01 to 2026-08-31
data source: gisaid + genbase (deduplicated)
Expanded RK.1 to 1 aliased Pango lineage names from des.json.
Recent share (2 mo)
0.4%
16 of 4,444 samples in 2026-W25..2026-W32
Growth advantage
+3.2%
per week, log-odds regression over 26 qualified weeks
Matched samples
0.2%
58 of 25,829 time/location-matched sequences
Model fit
0.12
R2; values below 0.30 are low confidence
RK.1
Share by ISO week using collection date.
Query share
Top Matching Lineages
Exact assigned lineages ranked within the current query result.Recent Weekly Values
| Week | Matched | Total | Share |
|---|---|---|---|
| 2026-W21 | 1 | 579 | 0.2% |
| 2026-W22 | 0 | 524 | 0.0% |
| 2026-W23 | 1 | 524 | 0.2% |
| 2026-W24 | 1 | 595 | 0.2% |
| 2026-W25 | 2 | 601 | 0.3% |
| 2026-W26 | 3 | 666 | 0.5% |
| 2026-W27 | 5 | 602 | 0.8% |
| 2026-W28 | 1 | 606 | 0.2% |
| 2026-W29 | 3 | 573 | 0.5% |
| 2026-W30 | 1 | 538 | 0.2% |
| 2026-W31 | 1 | 448 | 0.2% |
| 2026-W32 | 0 | 410 | 0.0% |
Values by Country
| Country | Matched | Total | Share |
|---|---|---|---|
| Australia | 18 | 2,983 | 0.6% |
| South_Korea | 17 | 294 | 5.8% |
| USA | 11 | 7,076 | 0.2% |
| Germany | 3 | 220 | 1.4% |
| Cambodia | 3 | 16 | 18.8% |
| Singapore | 2 | 1,990 | 0.1% |
| New_Zealand | 2 | 740 | 0.3% |
| China | 1 | 675 | 0.1% |
| Japan | 1 | 481 | 0.2% |
| Canada | 0 | 4,976 | 0.0% |
| Brazil | 0 | 1,236 | 0.0% |
| Russia | 0 | 661 | 0.0% |
| Chile | 0 | 490 | 0.0% |
| Spain | 0 | 467 | 0.0% |
| France | 0 | 401 | 0.0% |
| Sweden | 0 | 352 | 0.0% |
| Norway | 0 | 223 | 0.0% |
| Costa_Rica | 0 | 221 | 0.0% |
| Italy | 0 | 171 | 0.0% |
| Luxembourg | 0 | 155 | 0.0% |
| Ireland | 0 | 142 | 0.0% |
| Malaysia | 0 | 141 | 0.0% |
| Thailand | 0 | 130 | 0.0% |
| India | 0 | 115 | 0.0% |
| Israel | 0 | 114 | 0.0% |
| Netherlands | 0 | 114 | 0.0% |
| Finland | 0 | 112 | 0.0% |
| Egypt | 0 | 110 | 0.0% |
| Mexico | 0 | 81 | 0.0% |
| Estonia | 0 | 73 | 0.0% |
| Denmark | 0 | 72 | 0.0% |
| United Kingdom | 0 | 72 | 0.0% |
| South_Africa | 0 | 71 | 0.0% |
| Lithuania | 0 | 69 | 0.0% |
| Argentina | 0 | 68 | 0.0% |
| Guatemala | 0 | 59 | 0.0% |
| Portugal | 0 | 51 | 0.0% |
| Poland | 0 | 47 | 0.0% |
| Pakistan | 0 | 46 | 0.0% |
| Dominican_Republic | 0 | 43 | 0.0% |
| Ecuador | 0 | 32 | 0.0% |
| Haiti | 0 | 26 | 0.0% |
| Croatia | 0 | 25 | 0.0% |
| Czech_Republic | 0 | 22 | 0.0% |
| Ukraine | 0 | 20 | 0.0% |
| Peru | 0 | 18 | 0.0% |
| Slovenia | 0 | 18 | 0.0% |
| Colombia | 0 | 15 | 0.0% |
| Kenya | 0 | 14 | 0.0% |
| Madagascar | 0 | 13 | 0.0% |
| Uganda | 0 | 13 | 0.0% |
| Slovakia | 0 | 12 | 0.0% |
| Vietnam | 0 | 11 | 0.0% |
| Belgium | 0 | 9 | 0.0% |
| Greece | 0 | 7 | 0.0% |
| Paraguay | 0 | 4 | 0.0% |
| United_Kingdom | 0 | 4 | 0.0% |
| Moldova | 0 | 2 | 0.0% |
| Romania | 0 | 2 | 0.0% |
| Switzerland | 0 | 2 | 0.0% |
| Senegal | 0 | 1 | 0.0% |
| Zaporizhzhia_Region | 0 | 1 | 0.0% |