Table 4. Logistic regression model of MoE on single variables and a final model.
(Final Model A) Logistic regression model of ten mutations on final model. (Final Model B) Logistic regression model of four mutations and location on final model.
| Mutations | Single variables | Final model A | Final model B | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| p | OR | 95% CI | p | OR | 95% CI | p | OR | 95% CI | ||
| Nsp7.11916 | <0.001* | 0.172 | [0.085–0.346] | <0.001* | 0.180 | [0.089–0.363] | 0.001* | 0.314 | [0.154–0.641] | |
| Nsp7.12076 | 0.403 | 1.571 | [0.545–4.530] | – | – | – | – | – | – | |
| Nsp7.11919 | 0.433 | 0.448 | [0.060–3.334] | – | – | – | – | – | – | |
| Nsp7.12073 | <0.001* | 7.341 | [2.732–19.728] | <0.001* | 8.108 | [3.009–21.847] | <0.001* | 9.164 | [3.311–25.361] | |
| Nsp7.11962 | 0.756 | 0.724 | [0.095–5.540] | – | – | – | – | – | – | |
| Nsp8.12478 | <0.001* | 442.707 | [108.996–1,798.139] | – | – | – | – | – | – | |
| Nsp8.12550 | 0.997 | – | – | – | – | – | – | – | – | |
| Nsp8.12415 | 0.998 | – | – | – | – | – | – | – | – | |
| Nsp8.12557 | 0.998 | – | – | – | – | – | – | – | – | |
| Nsp8.12400 | 0.388 | 0.377 | [0.051–2.780] | – | – | – | – | – | – | |
| Nsp12.14408 | <0.001* | 1.186 | [1.085–1.297] | <0.001* | 1.310 | [1.144–1.500] | <0.001* | 1.662 | [1.435–1.926] | |
| Nsp12.14805 | <0.001* | 0.523 | [0.439–0.625] | 0.007* | 0.746 | [0.603–0.923] | 0.073 | 0.817 | [0.655–1.019] | |
| Nsp12.13730 | <0.001* | 0.375 | [0.242–0.581] | 0.002* | 0.497 | [0.317–0.778] | <0.001* | 0.393 | [0.250–0.619] | |
| Nsp12.13536 | 0.026* | 0.582 | [0.361–0.938] | 0.044* | 0.611 | [0.379–0.987] | 0.009* | 0.528 | [0.327–0.855] | |
| Nsp12.13862 | 0.002* | 0.335 | [0.165–0.678] | 0.004* | 0.355 | [0.175–0.720] | 0.001* | 0.293 | [0.144–0.594] | |
| Nsp14.18060 | <0.001* | 0.440 | [0.347–0.559] | 0.001* | 0.625 | [0.479–0.816] | 0.001* | 1.658 | [1.244–2.209] | |
| Nsp14.18877 | <0.001* | 5.770 | [5.002–6.656] | <0.001* | 5.543 | [4.793–6.409] | <0.001* | 6.437 | [5.483–7.557] | |
| Nsp14.18998 | <0.001* | 0.153 | [0.063–0.370] | – | – | – | – | – | – | |
| Nsp14.18736 | <0.001* | 291.773 | [144.002–591.182] | <0.001* | 368.884 | [180.195–755.153] | <0.001* | 970.884 | [469.324–2,008.453] | |
| Nsp14.19524 | 0.104 | 0.656 | [0.395–1.091] | – | – | – | – | – | – | |
| Location | <0.001* | – | – | <0.001* | ||||||
| Africa | 0.019* | 0.634 | [0.434–0.927] | – | – | – | 0.017* | 0.580 | [0.391–0.860] | |
| South America | <0.001* | 0.409 | [0.273–0.612] | – | – | – | <0.001* | 0.302 | [0.198–0.461] | |
| Europe | <0.001* | 0.671 | [0.597–0.755] | – | – | – | <0.001* | 0.681 | [0.591–0.785] | |
| North America | <0.001* | 0.415 | [0.361–0.477] | – | – | – | <0.001* | 0.228 | [0.192–0.271] | |
| Oceania | <0.001* | 0.675 | [0.557–0.817] | – | – | – | <0.001* | 0.536 | [0.428–0.670] | |
Notes:
*
p-value < 0.05 was statistically significant.
OR, odds-ratio; CI, confidence interval; Multiple logistic regression final model was executed on all these statistically significant variables, included together in the model, and selected with the backward stepwise method.