Using the power of data to hotspot the greatest social needs during the
COVID-19 Pandemic
Part 1: As part of the interagency pandemic response, HHS organized
disparate information sources into a machine-readable, open dataset on
HealthData.gov to improve discoverability, enhance usability, and create value
from open data and direct attention and funding to the country’s most
under-resourced areas
May 13th, 2021
By Kristen
Honey, Chief Data Scientist and COVID-19 Diagnostics Informatics Lead,
COVID-19 Testing and Diagnostics Working Group (TDWG); Joshua Prasad,
Director of Health Equity Innovation, Office of the Chief Data Officer (OCDO); Jack Bastian, Data Engineer, HHS Protect, Office of the Chief Data Officer (OCDO)
The federal government is moving forward on its goal of
delivering an equitable
pandemic response, and is specifically eager to do this by addressing the social
determinants of health, or the conditions in the environments where people
are born, live, learn, work, play, worship, and age that affect a wide range of
health, functioning, and quality-of-life outcomes and risks.
The COVID-19 Pandemic has exacerbated disparities driven by
these conditions in many ways. Black, Indigenous, Latinx groups have been hit
harder by the virus, in addition to a plethora of rural communities across the
country. These come from social factors that stem from historic and
contemporary inequities that result in them living in more crowded conditions
or might include working service jobs that they make isolation impossible. They
are working jobs that they can’t afford to miss, are perhaps more reliant on
public transportation, or living in areas that have higher levels of air
pollution or effects of climate (another area HHS is committed
to solving) – the list goes on.
Despite knowing these factors, public health needs the tools
to be able to better prepare and respond in both the short term and long-term
inequity. HHS has taken a long-standing approach to help empower
communities, but also researchers, scientists, governments with data-driven
methods to be able to build better public health and social determinant
solutions. To achieve this, government must better understand who the most
impacted communities are in the country from a broader social perspective.
The pandemic has made it clear that a good high-speed
internet connection is a crucial part of life. Virtual school. Telework.
Telemedicine. In a time when the best clinical advice is to not meet in person,
the internet has become a staple of healthcare delivery. Over the past year,
CMS has expanded
permissibility of types of services and platforms that are reimbursable for
telehealth. However, if there isn’t reliable internet available, these
reimbursable services remain inaccessible. Fortunately, Coronavirus relief
funding has directed several key stakeholders like the Federal Communications
Commission (FCC), the U.S. Department of Agriculture (USDA) and the Health
Resources and Services Administration (HRSA) to work collaboratively to expand
access to broadband internet.
The HHS COVID-19 Diagnostics Informatics team worked with
FCC and the HHS Office of the Chief Data Officer (OCDO) to organize, synthesize,
and crosswalk geospatial information into indices for community vulnerability
based on several key open datasets that were defined in some of this grantmaking.
The resulting open data is a machine-readable dataset, called the COVID-19 Community
Vulnerability Crosswalk on HealthData.gov, which creates a snapshot of several
key factors related to geography, demographics and socioeconomics:
- Hardest hit area – which is based on a sustained COVID-19 hotspot according to the COVID-19 Community Profile Report;
- Low-income areas – based on the US Census’ Small Area Income and Poverty Estimates (SAIPE) data which produces single-year estimates of income and poverty for counties;
- Tribal Community – which is based on USAC’s definition of eligible tribal lands;
- Eligible Rural Areas – which is based on USAC’s definitions of rural areas;
These areas are
weighed based on the parameters and overlap, to better illuminate the most
under-resourced parts of the country, down to the census tract. Taking a page
out of healthcare’s book for
hot spotting that helped identify “super-utilizer” patients, this dataset
can help public health and cross-sectoral designers and problem-solvers to
better allocate resources, attention and solutions for both the pandemic
response as well as long term public health planning and sustainability.
This goes well beyond healthcare: the ability to remote
work, virtually attend school, or even mitigate the effects of social isolation
is reliant on a strong internet connection. These all impact individuals,
families and communities’ lifestyles, health and well-being as much as, or even
more, than healthcare access. By some estimates, social & non-clinical
factors impact something like 80% of an
individual’s health status. Fortunately, the FCC and other federal partners
have taken steps to expand funding
for these types of connectivity into schools, libraries and other key areas, and
this is just a first start to chipping away at all the social impacts on our
health and wellbeing. It is imperative that the federal government look
upstream by equipping communities to build solutions that work for them and
stay committed to ensuring that as all Americans emerge from their isolation,
so too do equitable social and economic solutions.
In the second part of this blog series, HHS goes deeper
into the results of the collaboration with FCC, access efforts, and going
upstream in the digital age.