Fig 1.
Choropleth maps all covariates considered in predictive models of TB case prevalence and notification rates.
Table 1.
Neighbourhood-level summary data for the 72 neighbourhoods.
Fig 2.
Empirical bacteriologically-confirmed adult TB case notification rates (CNR) 2015–2019 (A-E), and TB case prevalence rates (CPR) 2019 (F); both per 100,000.
Table 2.
Parameter estimates for selected regression models for predicting neighbourhood level TB prevalence and notifications.
Fig 3.
Neighbourhood level TB prevalence to notification ratios (with 95% Crls) using final models.
The neighbourhoods were ordered according to prevalence to notification ratio size. The dashed line is the mean prevalence to notification ratio. Crl Credible interval.
Fig 4.
Map of TB prevalence to notification ratios predicted from final models including estimated neighbourhood random effects (inset map of Malawi with Blantyre in red).
Mosdels include neighbourhood random effects. Neighbourhoods outlined in blue are in the highest quartile for P:N ratios. Inset map of Malawi with Blantyre District in red. Map tile data from OpenStreetMap.