![]() In total, there are 3468 segments.Ĭalculate segment headcount = district rate * segment population, assuming district prevalence rate unchanged across the whole districtĪggregate segment headcounts by PC ID to get PC level headcount.Ĭalculate PC level prevalence rate by PC headcount divided by PC population.As the United States enters its third holiday season navigating a potential increase in COVID-19 cases as well as other respiratory illnesses, federal data from the Centers for Disease Control and Prevention (CDC) show that as of November 9, 2022, 80% of the total population in the United States have received at least one dose of a COVID-19 vaccine and only 10% of eligible individuals have received the updated, bivalent booster that was authorized for use among individuals 5 years of age and older in early Fall 2022. Those extremely small areas are created because of the slight boundary inaccuracies between district and PC shapefiles. Remove segments that were less than a hundredth of a percent of the original district area. Intersect PC and district boundaries, link each segment with district ID and PC ID: perform 'intersect' command to district and PC shapefile, create a new shapefile called Dist_PC_intersect.Ĭalculate segment area (seg_area): perform 'Calculate Geometry' function on the district shapefile, using the Kalianpur 1975/India Zone lla (EPSG: 24379) coordinate system.Ĭalculate segment population (seg_ment): perform 'zonal statistics' command using segment shapefile as the 'zone' and the WorldPop2020 as the data raster derive pc level population by aggregating segment population by PC ID.Ĭalculate the percentage of district area (Pct_area) by dividing segment area by district area. See the workflow below and read the paper for more details.Ĭalculate district area (dist_area): perform 'Calculate Geometry' function on the district shapefile, using the Kalianpur 1975/India Zone lla (EPSG: 24379) coordinate system. We adopted a dasymetric mapping technique that allowed for weighting of the population in each PC assuming the indicators were distributed uniformly across the population in one district. Using district-level information for vaccines, we generated a crosswalk between districts and parliamentary constituencies. We calculated the percentage of the dose administered by dividing the Total Dose Administered by the estimated population of 2020.Ĭrosswalk Methodology (Districts to Parliamentary Constituencies) We calculated the population estimates ( ) for districts and parliamentary constituencies by aggregating the population count across 100m × 100m pixels over the shapefile boundaries using the WorldPop raster data. The derived population estimates are therefore related to the accuracy of the shapefiles. We edited the district shapefile in alignment with the latest district boundary of 2020. We downloaded the shapefiles for district and parliamentary constituencies from the Community Created Maps of India (CCMA) project published by Data. The data for Mumbai and Mumbai Suburban in the state of Maharashtra are reported under Mumbai. ![]() The data for Niwari (Madhya Pradesh), Hnahthial (Mizoram), Khawzawl (Mizoram), Mayiladuthurai (Tamil Nadu), Noklak (Nagaland) is not available. In the source data, the age and dose-specific category numbers might not add up to the total doses administered. ![]() The data visualizations will be updated daily around 8 pm IST (10:30 am ET). The data visualized is from the CoWIN Dashboard.
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