Figure 3.

Maps of spatial density and clustering of infection outcomes among three survey districts using kernel estimation* of (A) infection density and (B) non-infection density and Local Moran’s I statistic^† for (C) infection prevalence and (D) community chlamydial load index, Amhara, Ethiopia, 2019. ^*Spatial patterns between infection density and non-infection density may overlap owing to the spatial methods used to interpolate each condition. ^†High-High indicates clusters of high-prevalence communities near high-prevalence communities, and Low-Low indicates clusters of low-prevalence communities near other low-prevalence communities. High-Low and Low-High highlight spatial outliers where high and low communities were surrounded by their opposite.