Figure 3

(a) Local Indicators of Spatial Association (LISA) analysis for MTB positivity rates in Union Councils (UCs) from mobile chest X-ray supported active case-finding camps in Karachi, Pakistan (July 2018–March 2020). A High-high result indicates potential clustering of UCs with high MTB positivity. A High-low result indicates a UC with a potentially high MTB positivity surrounded by UCs with low positivity. A low–low result indicates clustering of UCs with potentially low MTB positivity. A low–high result indicates a UC with potentially low MTB positivity surrounded by UCs with high positivity. QGIS Geographic Information System v3.26.3. QGIS.org, 2022. QGIS Association. http://www.qgis.org. (b) Local Indicators of Spatial Association (LISA) analysis for abnormal X-ray rates in Union Councils (UCs) from mobile chest X-ray supported active case-finding camps in Karachi, Pakistan (July 2018–March 2020). A High-high result indicates clustering of potential UCs with high abnormal X-ray rates. A High-low result indicates a UC with potentially high abnormal X-ray ratio surrounded by UCs with low rates. A low–low result indicates clustering of UCs with low abnormal X-ray rates. A low–high result indicates a UC with potentially low MTB positivity surrounded by UCs with high positivity. QGIS Geographic Information System v3.26.3. QGIS.org, 2022. QGIS Association. http://www.qgis.org.