Table 1.
Grey incidence analysis models’ evaluation of affected Pakistani provinces for temperature and COVID-19 transmissibility
| Provinces | ADGIA | Rank | DGIA | Rank | SSDGIA | Rank |
|---|---|---|---|---|---|---|
| Punjab | 0.510426 | 4th | 0.729361 | 2nd | 0.619286 | 4th |
| Sindh | 0.503054 | 5th | 0.700418 | 4th | 0.601736 | 5th |
| Khyber Pakhtunkhwa | 0.520832 | 3rd | 0.717741 | 3rd | 0.619893 | 3rd |
| Baluchistan | 0.562743 | 2nd | 0.787438 | 1st | 0.675091 | 2nd |
| Gilgit Baltistan | 0.808635 | 1st | 0.621965 | 5th | 0.715301 | 1st |
Notes: ADGIA, absolute degree grey incidence analysis; DGIA, Deng’s grey incidence analysis; SSDGIA, second synthetic degree grey incidence analysis. The models ADGIA, DGIA, and SSDGIA calculated weights, namely, ADGRG (ε), DGRG (γij), and SSDGRG (ρij), respectively