Metrics

We recently developed a new dashboard section for tracking outcomes and inequities in COVID-19 vaccination. This section allows users to track, describe, and compare inequities in COVID-19 vaccination on multiple levels in 29 large US cities. City Report: Vaccination First, in the City Report Vaccination tab, users can select a city, explore, and visualize inequities in COVID-19 vaccination outcomes by race/ethnicity and by neighborhood.

Testing Site Metrics: Potential Community Demand

By RAN LI, PRICILA MULLACHERY in Dashboard Update

April 29, 2021

This analysis and metric were inspired by the work of Kim et al.1 in their FiveThirtyEight’s article on distribution of testing sites. The purpose of this blog is to describe how we adapted their ‘Potential Community Need’ metric to calculate ‘Potential Community Demand (PCD)’ (a summary of how high the demand for testing could be for each neighborhood when accounting for resident population) in order to describe inequities in testing access on our Dashboard.

Testing Site Metrics: Spatial Accessibility

By RAN LI, PRICILA MULLACHERY, STEVEN MELLY in Dashboard Update

April 28, 2021

Spatial accessibility to COVID-19 testing is an indicator of whether residents of a particular neighborhood have access to nearby COVID-19 testing. We used data provided by Castlight Health Inc. containing the location of testing sites in the 30 BCHC cities to construct two spatial accessibility measures: A walkshed-based measure: a neighborhood is defined as having high access if at least 25% of its area is within a 15 minute walk of a testing site.

Age-Adjusting—why does it matter for disparities?

By Alina Schnake-Mahl in Metrics

September 25, 2020

Un-adjusted Death Rates Un-adjusted Age Rates Age Distribution Key Insight Un-adjusted Death Rates I recently received an email from my microbiologist uncle, asking me to help him interpret Washington state’s COVID-19 data. The data didn’t seem to match articles he’d read on racial and ethnic inequities in coronovirus deaths. His question seemed a relevant one for many people, inundated with constant COVID-19 data, and who might want further information about how to interpret some of the data they’re seeing.

Tracking Inequities in COVID-19 Vaccination across Large US Cities

Testing Site Metrics: Potential Community Demand

Testing Site Metrics: Spatial Accessibility

Age-Adjusting—why does it matter for disparities?

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