Literature DB >> 25449693

A "big data" approach to HIV epidemiology and prevention.

Sean D Young1.   

Abstract

The recent availability of "big data" from social media and mobile technologies provides promise for development of new tools and methods to address the HIV epidemic. This manuscript presents recent work in this growing area of bioinformatics, digital epidemiology, and disease modeling, describes how it can be applied to address HIV prevention, and presents issues that need to be addressed prior to implementing a mobile technology big-data approach to HIV prevention.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Big data; Digital epidemiology; HIV prevention; Social media

Mesh:

Year:  2014        PMID: 25449693      PMCID: PMC4364912          DOI: 10.1016/j.ypmed.2014.11.002

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  13 in total

1.  Racial/ethnic and age disparities in HIV prevalence and disease progression among men who have sex with men in the United States.

Authors:  H Irene Hall; Robert H Byers; Qiang Ling; Lorena Espinoza
Journal:  Am J Public Health       Date:  2007-04-26       Impact factor: 9.308

2.  Using internet searches for influenza surveillance.

Authors:  Philip M Polgreen; Yiling Chen; David M Pennock; Forrest D Nelson
Journal:  Clin Infect Dis       Date:  2008-12-01       Impact factor: 9.079

3.  Biology: The big challenges of big data.

Authors:  Vivien Marx
Journal:  Nature       Date:  2013-06-13       Impact factor: 49.962

4.  The inevitable application of big data to health care.

Authors:  Travis B Murdoch; Allan S Detsky
Journal:  JAMA       Date:  2013-04-03       Impact factor: 56.272

5.  Recommended guidelines on using social networking technologies for HIV prevention research.

Authors:  Sean D Young
Journal:  AIDS Behav       Date:  2012-10

6.  Online social networking for HIV education and prevention: a mixed-methods analysis.

Authors:  Sean D Young; Devan Jaganath
Journal:  Sex Transm Dis       Date:  2013-02       Impact factor: 2.830

7.  Conspiracy beliefs about HIV are related to antiretroviral treatment nonadherence among african american men with HIV.

Authors:  Laura M Bogart; Glenn Wagner; Frank H Galvan; Denedria Banks
Journal:  J Acquir Immune Defic Syndr       Date:  2010-04       Impact factor: 3.731

8.  Unrecognized HIV infection, risk behaviors, and perceptions of risk among young black men who have sex with men--six U.S. cities, 1994-1998.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2002-08-23       Impact factor: 17.586

9.  Detecting influenza epidemics using search engine query data.

Authors:  Jeremy Ginsberg; Matthew H Mohebbi; Rajan S Patel; Lynnette Brammer; Mark S Smolinski; Larry Brilliant
Journal:  Nature       Date:  2009-02-19       Impact factor: 49.962

10.  Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic.

Authors:  Samantha Cook; Corrie Conrad; Ashley L Fowlkes; Matthew H Mohebbi
Journal:  PLoS One       Date:  2011-08-19       Impact factor: 3.240

View more
  16 in total

Review 1.  The Roles of Technology in Primary HIV Prevention for Men Who Have Sex with Men.

Authors:  Patrick S Sullivan; Jeb Jones; Nishant Kishore; Rob Stephenson
Journal:  Curr HIV/AIDS Rep       Date:  2015-12       Impact factor: 5.071

Review 2.  Big Data in Health: a Literature Review from the Year 2005.

Authors:  Isabel de la Torre Díez; Héctor Merino Cosgaya; Begoña Garcia-Zapirain; Miguel López-Coronado
Journal:  J Med Syst       Date:  2016-08-13       Impact factor: 4.460

Review 3.  A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector.

Authors:  Susel Góngora Alonso; Isabel de la Torre Díez; Joel J P C Rodrigues; Sofiane Hamrioui; Miguel López-Coronado
Journal:  J Med Syst       Date:  2017-10-14       Impact factor: 4.460

4.  Imaging to End Points: Cardiovascular Disease Risk Assessment in HIV.

Authors:  Ahmed M Gharib; Colleen Hadigan
Journal:  Circ Cardiovasc Imaging       Date:  2017-10       Impact factor: 7.792

5.  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

6.  Unveiling Spatial Epidemiology of HIV with Mobile Phone Data.

Authors:  Sanja Brdar; Katarina Gavrić; Dubravko Ćulibrk; Vladimir Crnojević
Journal:  Sci Rep       Date:  2016-01-13       Impact factor: 4.379

7.  Analysis of an Internet Community about Pneumothorax and the Importance of Accurate Information about the Disease.

Authors:  Bong Jun Kim; Sungsoo Lee
Journal:  Korean J Thorac Cardiovasc Surg       Date:  2018-04-05

Review 8.  Technology-Delivered Intervention Strategies to Bolster HIV Testing.

Authors:  Romina A Romero; Jeffrey D Klausner; Lisa A Marsch; Sean D Young
Journal:  Curr HIV/AIDS Rep       Date:  2021-06-09       Impact factor: 5.071

9.  Regional variation in discussion of opioids on social media.

Authors:  Lidia Flores; Sean D Young
Journal:  J Addict Dis       Date:  2021-02-11

10.  Mental Health-Related Behaviors and Discussions Among Young Adults: Analysis and Classification.

Authors:  Ryan Rivas; Moloud Shahbazi; Renee Garett; Vagelis Hristidis; Sean Young
Journal:  J Med Internet Res       Date:  2020-05-29       Impact factor: 5.428

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.