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Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors
There is a need for real-time and predictive data on alcohol use both broadly and specific to HIV. However, substance use and HIV data often suffer from lag times in reporting as they are typically measured from surveys, clinical case visits and other methods requiring extensive time for collection...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966886/ https://www.ncbi.nlm.nih.gov/pubmed/33730254 http://dx.doi.org/10.1007/s10461-021-03221-z |
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author | Garett, Renee Young, Sean D. |
author_facet | Garett, Renee Young, Sean D. |
author_sort | Garett, Renee |
collection | PubMed |
description | There is a need for real-time and predictive data on alcohol use both broadly and specific to HIV. However, substance use and HIV data often suffer from lag times in reporting as they are typically measured from surveys, clinical case visits and other methods requiring extensive time for collection and analysis. Social big data might help to address this problem and be used to provide near real-time assessments of people's alcohol use and/or alcohol. This manuscript describes three types of social data sources (i.e., social media data, internet search data, and wearable device data) that might be used in surveillance of alcohol and HIV, and then discusses the implications and potential of implementing them as additional tools for public health surveillance. |
format | Online Article Text |
id | pubmed-7966886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-79668862021-03-17 Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors Garett, Renee Young, Sean D. AIDS Behav Original Paper There is a need for real-time and predictive data on alcohol use both broadly and specific to HIV. However, substance use and HIV data often suffer from lag times in reporting as they are typically measured from surveys, clinical case visits and other methods requiring extensive time for collection and analysis. Social big data might help to address this problem and be used to provide near real-time assessments of people's alcohol use and/or alcohol. This manuscript describes three types of social data sources (i.e., social media data, internet search data, and wearable device data) that might be used in surveillance of alcohol and HIV, and then discusses the implications and potential of implementing them as additional tools for public health surveillance. Springer US 2021-03-17 2021 /pmc/articles/PMC7966886/ /pubmed/33730254 http://dx.doi.org/10.1007/s10461-021-03221-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Garett, Renee Young, Sean D. Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors |
title | Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors |
title_full | Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors |
title_fullStr | Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors |
title_full_unstemmed | Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors |
title_short | Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors |
title_sort | digital public health surveillance tools for alcohol use and hiv risk behaviors |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966886/ https://www.ncbi.nlm.nih.gov/pubmed/33730254 http://dx.doi.org/10.1007/s10461-021-03221-z |
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