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Informing social media analysis for public health: a cross-sectional survey of professionals.
White, Becky K; Wilhelm, Elisabeth; Ishizumi, Atsuyoshi; Abeyesekera, Surangani; Pereira, Alhassan; Yau, Brian; Kuzmanovic, Aleksandra; Nguyen, Tim; Briand, Sylvie; Purnat, Tina D.
  • White BK; Department of Epidemic and Pandemic Preparedness and Prevention, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Wilhelm E; Visiting Scholar, University of Memphis School of Public Health, Memphis, TN, USA.
  • Ishizumi A; Department of Epidemic and Pandemic Preparedness and Prevention, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Abeyesekera S; Immunization Demand Team, UNICEF, New York, NY, USA.
  • Pereira A; Department of Epidemic and Pandemic Preparedness and Prevention, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Yau B; Department of Epidemic and Pandemic Preparedness and Prevention, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Kuzmanovic A; Department of Communications, World Health Organization, Geneva, Switzerland.
  • Nguyen T; Department of Epidemic and Pandemic Preparedness and Prevention, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Briand S; Department of Epidemic and Pandemic Preparedness and Prevention, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Purnat TD; Department of Epidemic and Pandemic Preparedness and Prevention, Health Emergencies Programme, World Health Organization, Geneva, Switzerland. tina.purnat@gmail.com.
Arch Public Health ; 82(1): 1, 2024 Jan 02.
Article en En | MEDLINE | ID: mdl-38167141
ABSTRACT

BACKGROUND:

During the COVID-19 pandemic, the field of infodemic management has grown in response to urgent global need. Social listening is the first step in managing the infodemic, and many organizations and health systems have implemented processes. Social media analysis tools have traditionally been developed for commercial purposes, rather than public health, and little is known of the experiences and needs of those professionals using them for infodemic management.

METHODS:

We developed a cross sectional survey and distributed through global infodemic management networks between December 2022 and February 2023. Questions were structured over four sections related to work-practice and user needs and did not collect any personal details from participants. Descriptive analysis was conducted on the study results. Qualitative analysis was used to categorise and understand answers to open-text questions.

RESULTS:

There were 417 participants, 162/417 who completed all survey questions, and 255/417 who completed some, all responses are included in analysis. Respondents came from all global regions and a variety of workplaces. Participants had an average of 4.4 years' experience in the analysis of social media for public health. COVID-19 was the most common health issue people had conducted social media analysis for. Results reveal a range of training, technical capacity, and support needs.

CONCLUSIONS:

This paper is the first we are aware of to seek and describe the needs of those using social media analysis platforms for public health purposes since the start of the COVID-19 pandemic. There are key areas for future work and research, including addressing the training, capacity building and leadership needs of those working in this space, and the need to facilitate easier access to better platforms for performing social media analysis.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prevalence_studies / Qualitative_research Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prevalence_studies / Qualitative_research Idioma: En Año: 2024 Tipo del documento: Article