Table 2.
Hot Spot Analysis by Sub-Districts.
| District | Sub-District | Prevalence Per 10,000 Population | Z Score | P-Value | No. of Neighbors | Confidence Level |
|---|---|---|---|---|---|---|
| Lambussie | Lambussie | 45.6 | 3.337 | 0.001* | 5 | 99 % |
| Nadowli | Nadowli | 58.0 | 2.923 | 0.003* | 10 | 99 % |
| DBI | Daffiama | 22.5 | 2.994 | 0.003* | 7 | 99 % |
| Nandom | Nandom | 97.4 | 3.356 | 0.001* | 7 | 99 % |
| Nandom | Gengenkpe | 40.9 | 3.518 | 0.000* | 4 | 99 % |
| Nandom | Baseble | 8.9 | 3.444 | 0.001* | 7 | 99 % |
| Nandom | Ko | 16.6 | 3.070 | 0.002* | 7 | 99 % |
| Nandom | Puffien | 20.6 | 2.841 | 0.004* | 5 | 99 % |
| Lambussie | Billaw | 4.5 | 2.388 | 0.017* | 8 | 95 % |
| Nadowli | Charikpong | 45.9 | 2.510 | 0.012* | 4 | 95 % |
| Nadowli | Dapuori | 48.5 | 2.513 | 0.012* | 6 | 95 % |
| DBI | Fian | 35.8 | 2.083 | 0.037* | 5 | 95 % |
| Jirapa | Yagha | 2.8 | 2.025 | 0.043* | 7 | 95 % |
Significant Cluster.