Table 2.
Bivariate analysis of land surface temperature day and TB prevalence per 100,000 population in the fiscal years 2020–2023
| Fiscal year | LISA | Moran’s I | |||
|---|---|---|---|---|---|
| HH | LL | HL | LH | ||
| 2020–2021 |
Banke* Rupandehi* Parasi* Parsa* Bara* Rautahat* Makawanpur** Lalitpur** Kabhrepalanchok* Mahottari* |
Mustang* Kaski* Solukhumbu* Sankhuwasabha*** Taplejung** Panchthar** |
Okhaldhunga** Bhojpur** Terhathum** |
0.379 | |
| 2021–2022 |
Banke** Kapilbastu* Parsa** Bara* Rautahat* Makawanpur** Lalitpur* Kabhrepalanchok** Mahottari* |
Solukhumbu** Sankhuwasabha*** Taplejung** Panchthar** |
Okhaldhunga** Bhojpur** Terhathum** Dhankuta* |
0.424 | |
| 2022–2023 |
Banke* Kapilbastu* Parasi* Parsa** Bara** Rautahat** Sarlahi* Mahottari* Makawanpur** Lalitpur*** Kabhrepalanchok** Bhaktapur* Nuwakot* |
Mustang* Kaski* Solukhumbu* Sankhuwasabha** Taplejung** Panchthar** |
Okhaldhunga** Bhojpur** Terhathum** Jhapa* |
0.423 | |
LISA Local indicators of spatial associations, HH High-High, LL Low-Low, HL High-Low, LH Low–High
P < 0.05*, P < 0.01**, P < 0.005***