Characteristics of the spatial clusters of COVID-19 hospitalisations and deaths
| Outcome | Cluster | Number of locations | Observed (O) | Expected (E) | O/E | P value | RR (95% CI) |
| Hospitalisations | 1 | 3 (Stockholm, Solna, Sundbyberg) | 3808 | 1727.96 | 2.20 | <0.001 | 2.52 (2.37 to 2.68) |
| 2 | 9 (Nynäshamn, Trosa, Tyresö, Södertälje, Nykvarn, Botkyrka, Huddinge, Salem, Haninge) | 1973 | 805.04 | 2.45 | <0.001 | 2.63 (2.41 to 2.86) | |
| 3 | 19 (Östhammar, Norrtälje, Sigtuna, Upplands Väsby, Järfälla, Vaxholm, Älvkarleby, Sollentuna, Upplands-Bro, Heby, Tierp, Sandviken, Gävle, Vallentuna, Österåker, Knivsta, Uppsala, Täby, Håbo) | 2158 | 1664.06 | 1.30 | <0.001 | 1.34 (1.25 to 1.43) | |
| 4 | 11 (Vingåker, Hallsberg, Örebro, Kungsör, Flen, Finspång, Katrineholm, Norrköping, Eskilstuna, Arboga, Kumla) | 1315 | 960.20 | 1.37 | <0.001 | 1.40 (1.28 to 1.52) | |
| 5 | 3 (Jönköping, Aneby, Nässjö) | 466 | 312.67 | 1.49 | <0.001 | 1.50 (1.30 to 1.74) | |
| 6 | 1 (Borlänge) | 169 | 91.76 | 1.84 | <0.001 | 1.85 (1.43 to 2.38) | |
| 7 | 1 (Göteborg) | 1114 | 904.31 | 1.23 | <0.001 | 1.25 (1.14 to 1.37) | |
| 8 | 1 (Borås) | 271 | 196.22 | 1.38 | 0.001 | 1.39 (1.15 to 1.67) | |
| 9 | 1 (Gällivare) | 67 | 36.67 | 1.83 | 0.013 | 1.83 (1.21 to 2.71) | |
| 10 | 1 (Munkfors) | 24 | 8.56 | 2.80 | 0.022 | 2.81 (1.24 to 5.74) | |
| Mortality | 1 | 9 (Ekerö, Järfälla, Stockholm, Nykvarn, Sollentuna, Solna, Upplands-Bro, Sundbyberg, Salem) | 1565 | 637.99 | 2.45 | <0.001 | 2.92 (2.65 to 3.23) |
| 2 | 8 (Haninge, Nynäshamn, Lidingö, Tyresö, Nacka, Värmdö, Botkyrka, Huddinge) | 572 | 266.36 | 2.15 | <0.001 | 2.26 (1.95 to 2.69) | |
| 3 | 1 (Göteborg) | 451 | 277.97 | 1.62 | <0.001 | 1.67 (1.43 to 1.95) | |
| 4 | 1 (Borlänge) | 98 | 32.59 | 3.01 | <0.001 | 3.04 (2.02 to 4.45) | |
| 5 | 2 (Vingåker, Katrineholm) | 73 | 32.05 | 2.28 | <0.001 | 2.29 (1.51 to 3.48) | |
| 6 | 1 (Kramfors) | 36 | 16.15 | 2.23 | 0.021 | 2.24 (1.25 to 4.07) |
RR, relative risk.