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Fig. 2 | BMC Public Health

Fig. 2

From: Mapping geographic clusters of new HIV diagnoses to inform granular-level interventions for HIV epidemic control in western Kenya

Fig. 2

Sub-location clusters of new HIV diagnoses from home-based HIV testing in Siaya County. Spatial clusters of new HIV diagnoses were detected using the Kulldorff’s spatial scan statistic, implemented using SaTScan™ version 9.6 (http://www.satscan.org). Spatial clusters were mapped and layered over ecological features using a standard Geographical Information System (GIS) program, Quantum GIS version 3.6 (http://qgis.org). Shown in red circles are sub-location clusters of higher new HIV diagnoses with a relative risk of > 1.0 at p value< 0.05, and in blue circles sub-location clusters of lower new HIV diagnoses with a relative risk of < 1.0 at p value< 0.05. The boundary information for sub-locations in Siaya was obtained as shapefiles from DIVA-GIS (https://www.diva-gis.org/gdata)

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BMC Public Health

ISSN: 1471-2458

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