Literature DB >> 31395146

How Big Data Science Can Improve Linkage and Retention in Care.

Aadia I Rana1, Michael J Mugavero2.   

Abstract

Ending the HIV Epidemic: A Plan for America" (EtHE), launched by the Department of Health and Human Services (DHHS), is predicated on actionable data systems to monitor progress toward ambitious goals and to guide human immunodeficiency virus (HIV) testing, prevention, and treatment services. Situated on a status-neutral continuum of HIV prevention and care, EtHE relies on coordination across DHHS agencies and utilization of data systems established for programmatic purposes. Improving efficiencies and timeliness of existing data systems and harnessing the potential of novel data systems, including those afforded by social media, require big data science approaches and investment in technological and human resources.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AIDS; Continuum; Data; HIV; Prevention; Surveillance; Treatment

Mesh:

Year:  2019        PMID: 31395146     DOI: 10.1016/j.idc.2019.05.009

Source DB:  PubMed          Journal:  Infect Dis Clin North Am        ISSN: 0891-5520            Impact factor:   5.982


  3 in total

Review 1.  Emergence and evolution of big data science in HIV research: Bibliometric analysis of federally sponsored studies 2000-2019.

Authors:  Chen Liang; Shan Qiao; Bankole Olatosi; Tianchu Lyu; Xiaoming Li
Journal:  Int J Med Inform       Date:  2021-08-18       Impact factor: 4.730

2.  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

3.  Application of machine-learning techniques in classification of HIV medical care status for people living with HIV in South Carolina.

Authors:  Bankole Olatosi; Xiaowen Sun; Shujie Chen; Jiajia Zhang; Chen Liang; Sharon Weissman; Xiaoming Li
Journal:  AIDS       Date:  2021-05-01       Impact factor: 4.177

  3 in total

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