Literature DB >> 31303556

Use of big data to identify risk of adverse HIV outcomes.

Sten H Vermund1.   

Abstract

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Year:  2019        PMID： 31303556      PMCID： PMC7784960          DOI： 10.1016/S2352-3018(19)30191-2

Source DB:  PubMed          Journal:  Lancet HIV        ISSN： 2352-3018            Impact factor:   12.767


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  11 in total

1.  Social services utilization and need among a community sample of persons living with HIV in the rural south.

Authors:  Katharine E Stewart; Martha M Phillips; Jada F Walker; Sarah A Harvey; Austin Porter
Journal:  AIDS Care       Date:  2011-03

Review 2.  The Impact of ACA and Medicaid Expansion on Progress Toward UNAIDS 90-90-90 Goals.

Authors:  Blythe Adamson; Lauren Lipira; Aaron B Katz
Journal:  Curr HIV/AIDS Rep       Date:  2019-02       Impact factor: 5.071

3.  Opportunities to improve prevention and services for HIV-infected women in nonurban Alabama and Mississippi.

Authors:  T D Moon; S H Vermund; T C Tong; S D Holmberg
Journal:  J Acquir Immune Defic Syndr       Date:  2001-11-01       Impact factor: 3.731

4.  Impact of Health Insurance, ADAP, and Income on HIV Viral Suppression Among US Women in the Women's Interagency HIV Study, 2006-2009.

Authors:  Christina Ludema; Stephen R Cole; Joseph J Eron; Andrew Edmonds; G Mark Holmes; Kathryn Anastos; Jennifer Cocohoba; Mardge Cohen; Hannah L F Cooper; Elizabeth T Golub; Seble Kassaye; Deborah Konkle-Parker; Lisa Metsch; Joel Milam; Tracey E Wilson; Adaora A Adimora
Journal:  J Acquir Immune Defic Syndr       Date:  2016-11-01       Impact factor: 3.731

5.  Human immunodeficiency virus infection in rural areas and small cities of the southeast: contributions of migration and behavior.

Authors:  A Lansky; A K Nakashima; T Diaz; S A Fann; L Conti; M Herr; D Smith; J Karon; J L Jones; J W Ward
Journal:  J Rural Health       Date:  2000       Impact factor: 4.333

6.  Combined estimation of disease progression and retention on antiretroviral therapy among treated individuals with HIV in the USA: a modelling study.

Authors:  Linwei Wang; Emanuel Krebs; Jeong E Min; W Christopher Mathews; Ank Nijhawan; Charurut Somboonwit; Judith A Aberg; Richard D Moore; Kelly A Gebo; Bohdan Nosyk
Journal:  Lancet HIV       Date:  2019-07-11       Impact factor: 12.767

7.  Retention in Care and Patient-Reported Reasons for Undocumented Transfer or Stopping Care Among HIV-Infected Patients on Antiretroviral Therapy in Eastern Africa: Application of a Sampling-Based Approach.

Authors:  Elvin H Geng; Thomas A Odeny; Rita Lyamuya; Alice Nakiwogga-Muwanga; Lameck Diero; Mwebesa Bwana; Paula Braitstein; Geoffrey Somi; Andrew Kambugu; Elizabeth Bukusi; Megan Wenger; Torsten B Neilands; David V Glidden; Kara Wools-Kaloustian; Constantin Yiannoutsos; Jeffrey Martin
Journal:  Clin Infect Dis       Date:  2015-12-17       Impact factor: 9.079

8.  Impact of definitions of loss to follow-up on estimates of retention, disease progression, and mortality: application to an HIV program in Mozambique.

Authors:  Bryan E Shepherd; Meridith Blevins; Lara M E Vaz; Troy D Moon; Aaron M Kipp; Eurico José; Ferreira G Ferreira; Sten H Vermund
Journal:  Am J Epidemiol       Date:  2013-06-19       Impact factor: 4.897

9.  Universal definition of loss to follow-up in HIV treatment programs: a statistical analysis of 111 facilities in Africa, Asia, and Latin America.

Authors:  Benjamin H Chi; Constantin T Yiannoutsos; Andrew O Westfall; Jamie E Newman; Jialun Zhou; Carina Cesar; Martin W G Brinkhof; Albert Mwango; Eric Balestre; Gabriela Carriquiry; Thira Sirisanthana; Henri Mukumbi; Jeffrey N Martin; Anna Grimsrud; Melanie Bacon; Rodolphe Thiebaut
Journal:  PLoS Med       Date:  2011-10-25       Impact factor: 11.069

10.  Year 2 of Affordable Care Act Qualified Health Plans (QHPs) in a Medicaid Nonexpansion State: QHPs Associated With Viral Suppression for Virginia AIDS Drug Assistance Program Clients.

Authors:  Kathleen A McManus; Anne Rhodes; Lauren Yerkes; Carolyn L Engelhard; Karen S Ingersoll; Rebecca Dillingham
Journal:  Open Forum Infect Dis       Date:  2018-10-31       Impact factor: 3.835
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  1 in total

1.  Building a social media-based HIV risk behavior index to inform the prediction of HIV new diagnosis: a feasibility study.

Authors:  Zhenlong Li; Shan Qiao; Yuqin Jiang; Xiaoming Li
Journal:  AIDS       Date:  2021-05-01       Impact factor: 4.177
  1 in total

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