Figure 1.
Identification of the Nyong as a major risk factor for BU incidence in Akonolinga 2002–2012 (spatial analysis on time-aggregated incidence rate of BU in Akonolinga).
A: Incidence rate per village (cases/1,000py). B: Decreasing risk of BU with increasing distance to the Nyong River. Homogenous risk areas of Akonolinga district were identified using the SPODT algorithm. Associated odds-ratio and 95% CI are provided.
Figure 2.
Maps of spatio-temporal variations of BU incidence in Akonolinga district.
A–D: Incidence rate maps for the periods, phases 1 to 4, identified in the time-series (cases/1,000py).
Table 1.
Selected environment characteristics of landscape groups defined in Akonolinga district.
Table 2.
Univariate analysis.
Figure 3.
Landscape-associated risk of BU in Akonolinga district, 2002–2012.
A: Classification of Akonolinga area villages according to landscape group and associated BU incidence ratio with 95% confidence interval. B: Predicted cumulative incidence for each village of the district according to the landscape model (cases/1,000py). C: Observed cumulative incidence rate for each village of the district (cases/1,000py).
Table 3.
Incidence rate ratios estimated for the landscape groups combined with Nyong River distance in 154 villages of Akonolinga health district, Cameroon, 2002–2012.