Exploring Spatial Clusters of Caesarean Sections across India
Spatial epidemiological analysis of National Family Health Survey (NFHS) data identifying geographic clusters and hotspots of caesarean-section rates across India.
Where India Misses Tuberculosis
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.
Seasonality of Tuberculosis Notification in India
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.
Climate Change and Dengue in India: A Panel-Data Analysis, 1997–2022
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.
Tuberculosis Notification & Differentiated Care in Goa
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.
Geo-Spatial Analysis of Acute Ischemic Stroke Reperfusion Treatment in India
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.
Factors Associated with Prehospital Delay in Acute Stroke
A systematic review (per PRISMA) synthesising the factors associated with delay in reaching care after acute stroke onset, alongside a related geographic accessibility analysis of stroke-centre access.
Anxiety & Depression Among Pregnant Women at a Tertiary Centre
A cross-sectional screening study of antenatal anxiety and depression at a tertiary care centre in Telangana, using GAD-7 and PHQ-9 within a reproducible Quarto pipeline.
Maternal Nutritional Status & Retinopathy of Prematurity
Retrospective observational study examining associations between maternal anthropometry and neonatal outcomes, including birth weight, gestational maturity, and retinopathy of prematurity severity, in a tertiary neonatal intensive care unit in India.
Diagnostic Accuracy of the DEERS Endometrial Imaging Test
A retrospective diagnostic-accuracy study comparing DEERS imaging classifications with histopathology, showing reliable detection of normal tissue but poor sensitivity for malignancy.
GIS for Epidemiology
A Quarto website course on spatial data handling, mapping disease data, spatial autocorrelation, and cluster detection in R for epidemiologists.
Gender Inequities in COVID-19 Vaccinations
This post looks into the COVID-19 vaccinations in India and the respective states. The data is downloaded from COVID-19 India Tracker Website as provided in the data sources section in the methodology. Total Vaccinations ## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8 ## Returning the palette you asked for with that many colors ## Warning in RColorBrewer::brewer.
First Wave vs Second Wave
The abrupt onset of the second wave of COVID-19 in India has taken the country by storm. With over 4,00,000 cases being reported daily, India has over 37,00,000 active cases as of 12, May 2021. This post aims to estimate the epidemiological parameters of COVID-19 epidemic in India during the first and second waves. As discussed in the previous post, India’s epidemic curve suggests an ongoing second wave of COVID-19 infections in the country.
COVID-19 Epidemic in India
The importance of epidemic curves in epidemiology in understanding and visualising the onset and progression of an epidemic is immense. It provides key insights in terms of the magnitude of the disease, the mode of transmission, trends over time and the incubation period. The below interactive plot is variant of the epidemic curve of COVID-19 in India. By default, the weekly average of daily cases, recovered and deaths is presented in the plot.