Show simple item record

Associations between high-risk business types for respiratory pathogen transmission and COVID cases in Wisconsin neighborhoods

dc.contributor.authorHoover, Andrew
dc.contributor.authorDuchowny, Kate
dc.contributor.authorLi, Chihua
dc.contributor.authorMacConnachie, Lauren
dc.contributor.authorPerera, Rohini
dc.contributor.authorGypin, Lindsay
dc.contributor.authorMelendez, Robert
dc.contributor.authorClarke, Philippa
dc.contributor.authorKubale, John
dc.contributor.authorNoppert, Grace
dc.date.accessioned2024-05-11T02:56:19Z
dc.date.available2024-05-11T02:56:19Z
dc.date.issued2024-05-10
dc.identifier.urihttps://hdl.handle.net/2027.42/193118en
dc.description.abstractIntroduction Business types play a key role in neighborhood respiratory pathogen spread, including COVID-19, yet few studies have investigated what business types are high-risk and why. This study presents a novel measure that characterizes business types according to their hypothesized risk for respiratory pathogen transmission and examines the relationship between the proportion of high-risk businesses in a neighborhood and neighborhood social factors. Methodology Using business density data from the National Neighborhood Data Archive (NANDA), we created a score to identify business types that may be high risk for respiratory pathogen transmission. Scores for each business type were derived from the average number of visits and time spent there sourced from Advan Research mobile phone data, and our conceptualization of the most prevalent interactions occurring there. Business types with a score of 8 or higher were labeled “high risk” and businesses with a score lower than 8 were labeled “low risk”. We calculated the proportion of businesses in each Wisconsin census tract that were classified as “high risk” and examined Pearson correlations with neighborhood disadvantage, affluence, and population density from NANDA, across Wisconsin census tracts. Results Scores for 67 business types ranged from 2 to 11 with a mean of 7.30 (Figure 1). The proportion of high-risk businesses (mean: 0.26; SD: 0.10) was statistically significantly correlated with neighborhood disadvantage (r = 0.32; p < 0.01), affluence (r = -0.16; p < 0.01), and population density (r = 0.17; p < 0.01), across Wisconsin census tracts. Conclusions Our novel tool can be used to identify neighborhoods that may be most vulnerable to respiratory pathogen outbreaks due to the businesses operating within them. Using this tool, we found that neighborhoods with higher proportions of high-risk businesses tend to have fewer social resources, suggesting an even greater potential for respiratory pathogen burden.en_US
dc.language.isoen_USen_US
dc.subjectcoviden_US
dc.subjectneighborhooden_US
dc.subjectbusinessen_US
dc.subjectinfectious diseaseen_US
dc.titleAssociations between high-risk business types for respiratory pathogen transmission and COVID cases in Wisconsin neighborhoodsen_US
dc.typePresentationen_US
dc.subject.hlbsecondlevelSocial Sciences (General)
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumInstitute for Social Research (ISR)en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/193118/1/SBECCCPresentation.pptx
dc.identifier.doihttps://dx.doi.org/10.7302/22763
dc.identifier.sourceSocial, Behavioral, & Economic COVID Coordinating Centeren_US
dc.description.mapping-1en_US
dc.identifier.orcid0009-0005-1568-1296en_US
dc.description.filedescriptionDescription of SBECCCPresentation.pptx : Presentation Slides
dc.description.depositorSELFen_US
dc.identifier.name-orcidHoover, Andrew; 0009-0005-1568-1296en_US
dc.working.doi10.7302/22763en_US
dc.owningcollnameInstitute for Social Research (ISR)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.