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Understanding the intersection of race and place: the case of tuberculosis in Michigan

dc.contributor.authorNoppert, Grace A.
dc.contributor.authorClarke, Philippa
dc.contributor.authorHicken, Margaret T.
dc.contributor.authorWilson, Mark L.
dc.date.accessioned2022-08-10T18:03:03Z
dc.date.available2022-08-10T18:03:03Z
dc.date.issued2019-12-11
dc.identifier.citationBMC Public Health. 2019 Dec 11;19(1):1669
dc.identifier.urihttps://doi.org/10.1186/s12889-019-8036-y
dc.identifier.urihttps://hdl.handle.net/2027.42/173474en
dc.description.abstractAbstract Background Race and place intersect to produce location-based variation in disease distributions. We analyzed the geographic distribution of tuberculosis (TB) incidence in Michigan, USA to better understand the complex interplay between race and place, comparing patterns in Detroit, Wayne County and the state of Michigan as a whole. Methods Using cross-sectional TB surveillance data from the Michigan Department of Health and Human Services, multivariable statistical models were developed to analyze the residence patterns of TB incidence from 2007 through 2012. Two-way interactions among the residence location and race of cases were assessed. Results Overall, Detroit residents experienced 58% greater TB incidence than residents of Wayne County or the state of Michigan. Racial inequalities were less pronounced in Detroit compared to both Wayne County and the state of Michigan. Blacks in Detroit had 2.01 times greater TB incidence than Whites, while this inequality was 3.62 times more in Wayne County and 8.72 greater in the state of Michigan. Conclusion Our results highlight how race and place interact to influence patterns of TB disease, and the ways in which this interaction is context dependent. TB elimination in the U.S. will require strategies that address the local social environment, as much as the physical environment.
dc.titleUnderstanding the intersection of race and place: the case of tuberculosis in Michigan
dc.typeJournal Article
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173474/1/12889_2019_Article_8036.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/5205
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dc.date.updated2022-08-10T18:03:03Z
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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