Research projects, publications, and data analysis work in health data science and public health.
Written by Arun Mitra
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 longitudinal analysis of monthly TB notifications across 747 Indian districts that separates genuine seasonal disease patterns from administrative reporting artefacts. By comparing public and private sectors, it asks how much of TB’s apparent seasonality is signal and how much is the rhythm of the reporting system itself.
Dengue is a climate-sensitive vector-borne disease whose burden in India has risen alongside shifting temperature and rainfall patterns. This project uses panel-data modelling across Indian states from 1997 to 2022 to quantify how climate variability shapes dengue incidence.
Marginalised populations in India face wide inequities in access to antimicrobial resistance diagnostics, with stark urban-rural and hilly-plains gaps in testing capacity and quality. This work examines those gaps and the potential of point-of-care testing to extend equitable AMR diagnostics.
Analysis of TB notification registers, differentiated-care models, and comorbidity patterns in Goa, where the TB death rate has run well above the national average.