Literature DB >> 11052554

Racial differences in reported Lyme disease incidence.

A D Fix1, C A Peña, G T Strickland.   

Abstract

In the United States, the incidence of Lyme disease is considered to be disproportionately high among Whites because of risk of exposure. For assessment of racial differences in Lyme disease incidence and the role of risk exposure, incidence rate ratios (IRRs) for Lyme disease and its manifestations between Whites and African Americans in Maryland and in its focus of endemicity, the Upper Eastern Shore, were calculated. Calculations were based on reported cases of Lyme disease in Maryland during the years 1992-1996. The IRR for Lyme disease between Whites and African Americans was 6.3 (95% confidence interval (CI): 5.0, 8.0), decreasing to 1.8 (95% CI: 1.2, 2.7) for the Upper Eastern Shore. Statewide, there was a significant difference between the White to African American IRR for erythema migrans and for Lyme disease-associated arthritis, at 17.7 (95% CI: 11.2, 27.8) and 2.3 (95% CI: 1.7, 3.2), respectively. On the Upper Eastern Shore, the IRR for arthritis reversed, indicating higher incidence among African Americans than among Whites: IRR = 5.7 (95% CI: 2.4, 13.9) for erythema migrans and IRR = 0.7 (95% CI: 0.4, 1.1) for arthritis. White patients were more likely to have erythema migrans (risk ratio = 2.8, 95% CI: 1.9, 4.1) and less likely to have arthritis than were African Americans (risk ratio = 0.4, 95% CI: 0.3, 0.5). Among all patients, there was a significant negative association between arthritis and erythema migrans. Although much of the racial disparity in incidence rates diminishes in a rural, endemic area, consistent with exposure risk being responsible for much of the variation, a difference remains. This may be due to failure to recognize early disease (erythema migrans) among African Americans, resulting in increased rates of late manifestations. Geographic spread of the disease warrants efforts to increase awareness of Lyme disease and its manifestations among people of color and the health care providers who serve them.

Entities:  

Mesh:

Year:  2000        PMID: 11052554     DOI: 10.1093/aje/152.8.756

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  12 in total

1.  Lymelight: forecasting Lyme disease risk using web search data.

Authors:  Adam Sadilek; Yulin Hswen; John S Brownstein; Evgeniy Gabrilovich; Shailesh Bavadekar; Tomer Shekel
Journal:  NPJ Digit Med       Date:  2020-02-04

2.  Black-white differences in the clinical manifestations and timing of initial Lyme disease diagnoses.

Authors:  Dan P Ly
Journal:  J Gen Intern Med       Date:  2021-09-30       Impact factor: 6.473

Review 3.  Spatial dynamics of lyme disease: a review.

Authors:  Mary E Killilea; Andrea Swei; Robert S Lane; Cheryl J Briggs; Richard S Ostfeld
Journal:  Ecohealth       Date:  2008-06-05       Impact factor: 3.184

Review 4.  Lyme Disease Frontiers: Reconciling Borrelia Biology and Clinical Conundrums.

Authors:  Vladimir V Bamm; Jordan T Ko; Iain L Mainprize; Victoria P Sanderson; Melanie K B Wills
Journal:  Pathogens       Date:  2019-12-16

5.  Lyme Disease with Erythema Migrans and Seventh Nerve Palsy in an African-American Man.

Authors:  Rebekah Dennison; Cheryl Novak; Alison Rebman; Arun Venkatesan; John Aucott
Journal:  Cureus       Date:  2019-12-30

6.  Risk factors for Lyme disease stage and manifestation using electronic health records.

Authors:  Katherine A Moon; Jonathan S Pollak; Melissa N Poulsen; Christopher D Heaney; Annemarie G Hirsch; Brian S Schwartz
Journal:  BMC Infect Dis       Date:  2021-12-20       Impact factor: 3.090

7.  RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning.

Authors:  Ji-Sung Kim; Xin Gao; Andrey Rzhetsky
Journal:  PLoS Comput Biol       Date:  2018-04-26       Impact factor: 4.475

8.  A descriptive epidemiological study of the incidence of newly diagnosed Lyme disease cases in a UK primary care cohort, 1998-2016.

Authors:  John S P Tulloch; Robert M Christley; Alan D Radford; Jenny C Warner; Mike B J Beadsworth; Nick J Beeching; Roberto Vivancos
Journal:  BMC Infect Dis       Date:  2020-04-16       Impact factor: 3.090

9.  Lymelight: forecasting Lyme disease risk using web search data.

Authors:  Adam Sadilek; Yulin Hswen; John S Brownstein; Evgeniy Gabrilovich; Shailesh Bavadekar; Tomer Shekel
Journal:  NPJ Digit Med       Date:  2020-02-04

10.  Representing Black, Asian and Minority Ethnic Skin in Dermatology Education Amidst the COVID-19 Pandemic: An Evaluation of an E-learning Resource.

Authors:  Rucira Ooi; Sheryl Li Xin Lim; Setthasorn Zhi Yang Ooi; Alistair Bennett
Journal:  Cureus       Date:  2021-12-27
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