dc.creator | Gabarrón, Elia | es |
dc.creator | Rivera Romero, Octavio | es |
dc.creator | Miron-Shatz, Talya | es |
dc.creator | Grainger, Rebecca | es |
dc.creator | Denecke, Kerstin | es |
dc.date.accessioned | 2021-07-12T10:24:14Z | |
dc.date.available | 2021-07-12T10:24:14Z | |
dc.date.issued | 2021-04 | |
dc.identifier.citation | Gabarrón, E., Rivera Romero, O., Miron-Shatz, T., Grainger, R. y Denecke, K. (2021). Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Year Book of Medical Informatics, April 21 | |
dc.identifier.issn | 2364-0502 | es |
dc.identifier.uri | https://hdl.handle.net/11441/115994 | |
dc.description.abstract | Objectives: Using participatory health informatics (PHI) to detect
disease outbreaks or learn about pandemics has gained interest
in recent years. However, the role of PHI in understanding and
managing pandemics, citizens’ role in this context, and which
methods are relevant for collecting and processing data are still
unclear, as is which types of data are relevant. This paper aims to
clarify these issues and explore the role of PHI in managing and
detecting pandemics.
Methods: Through a literature review we identified studies that
explore the role of PHI in detecting and managing pandemics.
Studies from five databases were screened: PubMed, CINAHL
(Cumulative Index to Nursing and Allied Health Literature), IEEE Xplore, ACM (Association for Computing Machinery) Digital
Library, and Cochrane Library. Data from studies fulfilling the
eligibility criteria were extracted and synthesized narratively.
Results: Out of 417 citations retrieved, 53 studies were
included in this review. Most research focused on influenza-like
illnesses or COVID-19 with at least three papers on other epidemics
(Ebola, Zika or measles). The geographic scope ranged
from global to concentrating on specific countries. Multiple
processing and analysis methods were reported, although often
missing relevant information. The majority of outcomes are
reported for two application areas: crisis communication and
detection of disease outbreaks.
Conclusions: For most diseases, the small number of studies prevented
reaching firm conclusions about the utility of PHI in detecting
and monitoring these disease outbreaks. For others, e.g.,
COVID-19, social media and online search patterns corresponded
to disease patterns, and detected disease outbreak earlier than
conventional public health methods, thereby suggesting that PHI
can contribute to disease and pandemic monitoring. | es |
dc.format | application/pdf | es |
dc.format.extent | 10 p. | es |
dc.language.iso | eng | es |
dc.publisher | Thieme Medical Publishers | es |
dc.relation.ispartof | Year Book of Medical Informatics, April 21 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Epidemics | es |
dc.subject | Public health surveillance | es |
dc.subject | Social media | es |
dc.title | Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.publisherversion | https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0041-1726486 | es |
dc.identifier.doi | 10.1055/s-0041-1726486 | es |
dc.contributor.group | Universidad de Sevilla. TIC150: Tecnología Electrónica e Informática Industrial | es |
dc.journaltitle | Year Book of Medical Informatics | es |
dc.publication.issue | April 21 | es |