id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-321176-b4o3nba6	Ong, P. M.	COVID-19 Medical Vulnerability Indicators: A Local Data Model for Equity in Public Health Decision-Making	2020-11-04		.txt	text/plain	8977	493	49	The purpose of this project is to develop multiple indicators that point to probable communities (geographic places defined by the Census Bureau's Zip Code Tabulation Areas) and populations at risk in Los Angeles County with high probability of COVID-19 infection and death across different dimensions. To achieve this, we developed four different indicators of medical vulnerability: 1) Pre-Existing Health Condition, 2) Barriers to Accessing Healthcare, 3) Built Environment Risk, and 4) Social Vulnerability. The following maps display neighborhoods in Los Angeles County by their level of vulnerability across each of the four indicators: pre-existing conditions, barriers to accessing healthcare, build environment risk, and social vulnerability. In Figure 8 , we observe that in the Built-Environment Risk indicator, Black, Latinx and CHL Asian populations are heavily concentrated in neighborhoods designated as either high or highest levels of vulnerability (53%, 55%, 63% respectively).	./cache/cord-321176-b4o3nba6.txt	./txt/cord-321176-b4o3nba6.txt