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      • Record: found
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      News trends and web search query of HIV/AIDS in Hong Kong

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      Publication date (Electronic):
      Journal: PLoS ONE
      Publisher: Public Library of Science

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          Abstract

          Background

          The HIV epidemic in Hong Kong has worsened in recent years, with major contributions from high-risk subgroup of men who have sex with men (MSM). Internet use is prevalent among the majority of the local population, where they sought health information online. This study examines the impacts of HIV/AIDS and MSM news coverage on web search query in Hong Kong.

          Methods

          Relevant news coverage about HIV/AIDS and MSM from January 1st, 2004 to December 31st, 2014 was obtained from the WiseNews databse. News trends were created by computing the number of relevant articles by type, topic, place of origin and sub-populations. We then obtained relevant search volumes from Google and analysed causality between news trends and Google Trends using Granger Causality test and orthogonal impulse function.

          Results

          We found that editorial news has an impact on “HIV” Google searches on HIV, with the search term popularity peaking at an average of two weeks after the news are published. Similarly, editorial news has an impact on the frequency of “AIDS” searches two weeks after. MSM-related news trends have a more fluctuating impact on “MSM” Google searches, although the time lag varies anywhere from one week later to ten weeks later.

          Conclusions

          This infodemiological study shows that there is a positive impact of news trends on the online search behavior of HIV/AIDS or MSM-related issues for up to ten weeks after. Health promotional professionals could make use of this brief time window to tailor the timing of HIV awareness campaigns and public health interventions to maximise its reach and effectiveness.

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          Most cited references24

          • Record: found
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          Digital disease detection--harnessing the Web for public health surveillance.

          John Brownstein, Clark C. Freifeld, Lawrence Madoff (2009)
          Article 0 comments Cited 285 times – based on 0 reviews     Review now
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            Long memory relationships and the aggregation of dynamic models

            C.W.J. Granger (1980)
            Article 0 comments Cited 140 times – based on 0 reviews     Review now
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              Is Open Access

              Mass Media and the Contagion of Fear: The Case of Ebola in America

              Sherry Towers, Shehzad Afzal, Gilbert Bernal … (2015)
              Background In the weeks following the first imported case of Ebola in the U. S. on September 29, 2014, coverage of the very limited outbreak dominated the news media, in a manner quite disproportionate to the actual threat to national public health; by the end of October, 2014, there were only four laboratory confirmed cases of Ebola in the entire nation. Public interest in these events was high, as reflected in the millions of Ebola-related Internet searches and tweets performed in the month following the first confirmed case. Use of trending Internet searches and tweets has been proposed in the past for real-time prediction of outbreaks (a field referred to as “digital epidemiology”), but accounting for the biases of public panic has been problematic. In the case of the limited U. S. Ebola outbreak, we know that the Ebola-related searches and tweets originating the U. S. during the outbreak were due only to public interest or panic, providing an unprecedented means to determine how these dynamics affect such data, and how news media may be driving these trends. Methodology We examine daily Ebola-related Internet search and Twitter data in the U. S. during the six week period ending Oct 31, 2014. TV news coverage data were obtained from the daily number of Ebola-related news videos appearing on two major news networks. We fit the parameters of a mathematical contagion model to the data to determine if the news coverage was a significant factor in the temporal patterns in Ebola-related Internet and Twitter data. Conclusions We find significant evidence of contagion, with each Ebola-related news video inspiring tens of thousands of Ebola-related tweets and Internet searches. Between 65% to 76% of the variance in all samples is described by the news media contagion model.
              Article 0 comments Cited 89 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Alice P. Y. Chiu: Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Qianying Lin: Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: Visualization
                Daihai He:
                ORCID: http://orcid.org/0000-0003-3253-654X
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Pietro Ghezzi: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date Collection: 2017
                Publication date (Electronic): 18 September 2017
                Volume: 12
                Issue: 9
                Electronic Location Identifier: e0185004
                Affiliations
                [001] Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong SAR, China
                Brighton & Sussex Medical School, Falmer, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-3253-654X
                Article
                Publisher ID: PONE-D-17-20814
                DOI: 10.1371/journal.pone.0185004
                PMC ID: 5602633
                PubMed ID: 28922376
                SO-VID: 4606be63-0425-4cdd-94b9-f133affbee63
                Copyright © © 2017 Chiu et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 1 June 2017
                Date accepted : 4 September 2017
                Page count
                Figures: 3, Tables: 0, Pages: 10
                Funding
                Funded by: Start-up grant for new recruits of Hong Kong Polytechnic University
                Award Recipient :
                ORCID: http://orcid.org/0000-0003-3253-654X
                Funded by: AIDS Trust Fund Hong Kong
                Award ID: MSS 236 R
                Award Recipient :
                ORCID: http://orcid.org/0000-0003-3253-654X
                DH was supported by Start-up grant for new recruits of Hong Kong Polytechnic University and AIDS Trust Fund Hong Kong (MSS 236 R). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Subject: Research Article
                Subject: Biology and Life Sciences
                Subject: Microbiology
                Subject: Medical Microbiology
                Subject: Microbial Pathogens
                Subject: Viral Pathogens
                Subject: Immunodeficiency Viruses
                Subject: HIV
                Subject: Medicine and Health Sciences
                Subject: Pathology and Laboratory Medicine
                Subject: Pathogens
                Subject: Microbial Pathogens
                Subject: Viral Pathogens
                Subject: Immunodeficiency Viruses
                Subject: HIV
                Subject: Biology and Life Sciences
                Subject: Organisms
                Subject: Viruses
                Subject: Viral Pathogens
                Subject: Immunodeficiency Viruses
                Subject: HIV
                Subject: Biology and Life Sciences
                Subject: Organisms
                Subject: Viruses
                Subject: Immunodeficiency Viruses
                Subject: HIV
                Subject: Biology and life sciences
                Subject: Organisms
                Subject: Viruses
                Subject: RNA viruses
                Subject: Retroviruses
                Subject: Lentivirus
                Subject: HIV
                Subject: Biology and Life Sciences
                Subject: Microbiology
                Subject: Medical Microbiology
                Subject: Microbial Pathogens
                Subject: Viral Pathogens
                Subject: Retroviruses
                Subject: Lentivirus
                Subject: HIV
                Subject: Medicine and Health Sciences
                Subject: Pathology and Laboratory Medicine
                Subject: Pathogens
                Subject: Microbial Pathogens
                Subject: Viral Pathogens
                Subject: Retroviruses
                Subject: Lentivirus
                Subject: HIV
                Subject: Biology and Life Sciences
                Subject: Organisms
                Subject: Viruses
                Subject: Viral Pathogens
                Subject: Retroviruses
                Subject: Lentivirus
                Subject: HIV
                Subject: Medicine and Health Sciences
                Subject: Infectious Diseases
                Subject: Viral Diseases
                Subject: AIDS
                Subject: People and Places
                Subject: Population Groupings
                Subject: Sexuality Groupings
                Subject: Men WHO Have Sex with Men
                Subject: Medicine and health sciences
                Subject: Public and occupational health
                Subject: Preventive medicine
                Subject: HIV prevention
                Subject: People and places
                Subject: Geographical locations
                Subject: Asia
                Subject: Hong Kong
                Subject: Computer and Information Sciences
                Subject: Computer Networks
                Subject: Internet
                Subject: Medicine and Health Sciences
                Subject: Health Care
                Subject: Health Education and Awareness
                Subject: Medicine and Health Sciences
                Subject: Public and Occupational Health
                Custom metadata
                Data Availability All relevant data are within the paper and its Supporting Information files.

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