| Autor: |
Carly Herbert, Qiming Shi, Jonggyu Baek, Biqi Wang, Vik Kheterpal, Christopher Nowak, Thejas Suvarna, Aditi Singh, Paul Hartin, Basyl Durnam, Summer Schrader, Emma Harman, Ben Gerber, Bruce Barton, Adrian Zai, Michael Cohen-Wolkowiez, Giselle Corbie-Smith, Warren Kibbe, Juan Marquez, Nathaniel Hafer, John Broach, Honghuang Lin, William Heetderks, David D McManus, Apurv Soni |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
BMC Public Health, Vol 23, Iss 1, Pp 1-10 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2458 |
| DOI: |
10.1186/s12889-023-16642-3 |
| Popis: |
Abstract Background Many interventions for widescale distribution of rapid antigen tests for COVID-19 have utilized online, direct-to-consumer (DTC) ordering systems; however, little is known about the sociodemographic characteristics of home-test users. We aimed to characterize the patterns of online orders for rapid antigen tests and determine geospatial and temporal associations with neighborhood characteristics and community incidence of COVID-19, respectively. Methods This observational study analyzed online, DTC orders for rapid antigen test kits from beneficiaries of the Say Yes! Covid Test program from March to November 2021 in five communities: Louisville, Kentucky; Indianapolis, Indiana; Fulton County, Georgia; O’ahu, Hawaii; and Ann Arbor/Ypsilanti, Michigan. Using spatial autoregressive models, we assessed the geospatial associations of test kit distribution with Census block-level education, income, age, population density, and racial distribution and Census tract-level Social Vulnerability Index. Lag association analyses were used to measure the association between online rapid antigen kit orders and community-level COVID-19 incidence. Results In total, 164,402 DTC test kits were ordered during the intervention. Distribution of tests at all sites were significantly geospatially clustered at the block-group level (Moran’s I: p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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