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Exploring the Social Drivers of Health During a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19.
Bettencourt-Silva, Joao H; Mulligan, Natasha; Jochim, Charles; Yadav, Nagesh; Sedlazek, Walter; Lopez, Vanessa; Gleize, Martin.
Afiliación
  • Bettencourt-Silva JH; IBM Research Europe, Dublin, Ireland.
  • Mulligan N; IBM Research Europe, Dublin, Ireland.
  • Jochim C; IBM Research Europe, Dublin, Ireland.
  • Yadav N; IBM Watson Health.
  • Sedlazek W; IBM Watson Health.
  • Lopez V; IBM Research Europe, Dublin, Ireland.
  • Gleize M; IBM Research Europe, Dublin, Ireland.
Stud Health Technol Inform ; 275: 6-11, 2020 Nov 23.
Article en En | MEDLINE | ID: mdl-33227730
ABSTRACT
Social determinants of health (SDoH) are the factors which lie outside of the traditional health system, such as employment or access to nutritious foods, that influence health outcomes. Some efforts have focused on identifying vulnerable populations during the COVID-19 pandemic, however, both the short- and long-term social impacts of the pandemic on individuals and populations are not well understood. This paper presents a pipeline to discover health outcomes and related social factors based on trending SDoH at population-level using Google Trends. A knowledge graph was built from a corpus of research literature (PubMed) and the social determinants that trended high at the start of the pandemic were examined. This paper reports on related social and health concepts which may be impacted by the COVID-19 outbreak and may be important to monitor as the pandemic evolves. The proposed pipeline should have wider applicability in surfacing related social or clinical characteristics of interest, outbreak surveillance, or to mine relations between social and health concepts that can, in turn, help inform and support citizen-centred services.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Pandemias / Determinantes Sociales de la Salud / Betacoronavirus Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Pandemias / Determinantes Sociales de la Salud / Betacoronavirus Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article