A spatial epidemiology compendium that estimates India’s tuberculosis case-detection gap at district and sub-district level, comparing modelled incidence against Ni-kshay notifications. It maps where TB cases are being missed and unpacks the drivers of that geographic inequality.
A structured 4-day hands-on workshop on spatial epidemiology in R, covering spatial concepts, map-making, exploratory spatial data analysis, clustering, and interactive visualisation, with a participant handbook.
Nationwide geospatial and spatial-epidemiological analysis quantifying how much of India’s population can reach an intravenous thrombolysis (IVT)- or endovascular thrombectomy (EVT)-capable stroke centre within the critical treatment window, exposing stark regional disparities in time-sensitive reperfusion care.
A Quarto website course on spatial data handling, mapping disease data, spatial autocorrelation, and cluster detection in R for epidemiologists.