Table 4 Statistically significant high-risk clusters
From: Spatial modelling and mapping of female genital mutilation in Kenya
Outcome | Type | Observed (Expected) cases | Relative risk (p-value) | Counties | |
|---|---|---|---|---|---|
Woman circumcised | High risk cluster | Most likely cluster | 779(257.64) | 3.92(<0.001) | Mandera, Wajir, Marsabit, Isiolo, Garissa, Samburu |
Secondary cluster | 474(182.09) | 2.97(<0.001) | Bomet, Nyamira, Kisii, Narok | ||
Third most likely cluster | 109(61.01) | 1.82(<0.001) | Kitui | ||
Fourth most likely cluster | 52(25.29) | 2.08(<0.001) | Baringo | ||
Fifth most likely cluster | 29(12.96) | 2.25(<0.001) | WestPokot | ||
Sixth most likely cluster | 205(154.90) | 1.35(0.02) | Meru, Tharaka-Nithi, Embu | ||
Low risk cluster | Most likely cluster | 45(558.91) | 0.064(<0.001) | Busia, Siaya, Kakamega, Bungoma, Vihiga, Kisumu, Nandi, HomaBay | |
Secondary cluster | 488(844.68) | 0.48(<0.001) | Taita Taveta, Kwale, Kilifi, Mombasa, Makueni, Kitui, Kajiado, Tana River, Machakos, Nairobi, Lamu, Kiambu | ||
FGM/C should continue | High risk cluster | Most likely cluster | 702(54.84) | 12.80(<0.001) | Mandera, Wajir, Marsabit, Isiolo, Garissa |
Secondary cluster | 153(59.37) | 2.58(<0.001) | Kisii, Nyamira | ||
Low risk cluster | Most likely cluster | 18(166.31) | 0.08(<0.001) | Kakamega, Vihiga, Bungoma, Nandi, Busia, Kisumu, Uasin Gishu, Siaya, Trans Nzoia, Kericho, Elgeyo Marakwet, HomaBay | |
Secondary cluster | 66(218.94) | 0.20(<0.001) | TaitaTaveta, Kwale, Kilifi, Mombasa, Makueni, Kitui, Kajiado, TanaRiver, Machakos, Nairobi, Lamu, Kiambu, Embu, Muranga, Kirinyaga, Tharaka-Nithi, Nyeri | ||