Literature DB >> 8202767

The geography of AIDS: patterns of urban and rural migration.

S E Cohn1, J D Klein, J E Mohr, C M van der Horst, D J Weber.   

Abstract

We sought to describe the migration patterns of patients infected with the human immunodeficiency virus (HIV) who seek health services in North Carolina. Of 390 consecutive adult patients with HIV seen at one tertiary care medical center in the southeastern United States in the summer of 1990, 340 (87%) were approached, and 325 (83%) completed surveys. Thirty-seven percent of respondents thought they had been infected and 20% were told they were infected with HIV while living outside of North Carolina. One in five patients thought they had been infected while living in a rural county and more than half now live in rural communities (population of < 50,000). Sixty percent of patients had moved to North Carolina since 1980; 61% of these were North Carolina natives. Injecting drug users were more likely than those with other modes of exposure to HIV to have been diagnosed with HIV infection out of state (34% vs 18%). Patients' reasons for moving to North Carolina included social support (88%), health reasons (54%), and better work/educational opportunities (52%). We found that most patients with HIV who seek health care services in North Carolina live in rural areas with their families, and a substantial proportion migrated in after they were diagnosed out of state. Characterizing these migration patterns is crucial for predicting the diffusion of HIV to rural areas; designing AIDS prevention strategies, education, and health service needs; and assessing federal HIV care funding policies.

Entities:  

Mesh:

Year:  1994        PMID: 8202767     DOI: 10.1097/00007611-199406000-00004

Source DB:  PubMed          Journal:  South Med J        ISSN: 0038-4348            Impact factor:   0.954


  8 in total

1.  Disclosure decisions of rural African American men living with HIV disease.

Authors:  Susan W Gaskins
Journal:  J Assoc Nurses AIDS Care       Date:  2006 Nov-Dec       Impact factor: 1.354

2.  Engagement-in-care during the first 5 years after HIV diagnosis: data from a cohort of newly HIV-diagnosed individuals in a large US city.

Authors:  Sarah E Rowan; William J Burman; Steven C Johnson; Elizabeth Connick; Daniel Reirden; Elaine Daniloff; Edward M Gardner
Journal:  AIDS Patient Care STDS       Date:  2014-08-01       Impact factor: 5.078

3.  Migration patterns among Floridians with AIDS, 1993-2007: implications for HIV prevention and care.

Authors:  Mary Jo Trepka; Kristopher P Fennie; Valerie Pelletier; Khaleeq Lutfi; Spencer Lieb; Lorene M Maddox
Journal:  South Med J       Date:  2014-09       Impact factor: 0.954

Review 4.  Injection drug use, HIV/HCV, and related services in nonurban areas of the United States: A systematic review.

Authors:  Catherine E Paquette; Robin A Pollini
Journal:  Drug Alcohol Depend       Date:  2018-05-08       Impact factor: 4.492

5.  Rural residence is associated with delayed care entry and increased mortality among veterans with human immunodeficiency virus infection.

Authors:  Michael Ohl; Janet Tate; Mona Duggal; Melissa Skanderson; Matthew Scotch; Peter Kaboli; Mary Vaughan-Sarrazin; Amy Justice
Journal:  Med Care       Date:  2010-12       Impact factor: 2.983

6.  HIV/AIDS patients who move to urban Florida counties following a diagnosis of HIV: predictors and implications for HIV prevention.

Authors:  Spencer Lieb; Mary Jo Trepka; Thomas M Liberti; Lisa Cohen; Javier Romero
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

7.  Migration distorts surveillance estimates of engagement in care: results of public health investigations of persons who appear to be out of HIV care.

Authors:  Susan E Buskin; James B Kent; Julia C Dombrowski; Matthew R Golden
Journal:  Sex Transm Dis       Date:  2014-01       Impact factor: 2.830

Review 8.  Ehrlichia chaffeensis: a prototypical emerging pathogen.

Authors:  Christopher D Paddock; James E Childs
Journal:  Clin Microbiol Rev       Date:  2003-01       Impact factor: 26.132

  8 in total

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