Author: Taylor Chin; Rebecca Kahn; Ruoran Li; Jarvis T. Chen; Nancy Krieger; Caroline O. Buckee; Satchit Balsari; Mathew V. Kiang
Title: U.S. county-level characteristics to inform equitable COVID-19 response Document date: 2020_4_11
ID: 0z8x6v04_21
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.08.20058248 doi: medRxiv preprint 3,111 counties, at least 25% of the population aged 18-64 years lacks health insurance. Approximately 2.2 million residents live in the 40 counties that fall in both high categories, and 26 of these counties are in Texas. Proximity, density and bed capacity Household size and characteristics like the numb.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.08.20058248 doi: medRxiv preprint 3,111 counties, at least 25% of the population aged 18-64 years lacks health insurance. Approximately 2.2 million residents live in the 40 counties that fall in both high categories, and 26 of these counties are in Texas. Proximity, density and bed capacity Household size and characteristics like the number of generations living together ( Figure S5 ), will affect transmission rates, household vulnerability, and the feasibility of social distancing measures. A study looking at transmission among close contacts in Shenzhen, China estimated a secondary attack rate of approximately 15% among household contacts (36) . The prevalence of group quarters, such as correctional facilities, nursing homes, student housing, and homeless shelters, among others (37), also 8 . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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