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Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic.
Kostkova, Patty; Saigí-Rubió, Francesc; Eguia, Hans; Borbolla, Damian; Verschuuren, Marieke; Hamilton, Clayton; Azzopardi-Muscat, Natasha; Novillo-Ortiz, David.
Afiliação
  • Kostkova P; UCL Centre for Digital Public Health in Emergencies (dPHE), Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
  • Saigí-Rubió F; Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain.
  • Eguia H; Interdisciplinary Research Group on ICTs, Barcelona, Spain.
  • Borbolla D; Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain.
  • Verschuuren M; SEMERGEN New Technologies Working Group, Madrid, Spain.
  • Hamilton C; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.
  • Azzopardi-Muscat N; Division of Country Health Policies and Systems, Regional Office for Europe, World Health Organization, Copenhagen, Denmark.
  • Novillo-Ortiz D; Division of Country Health Policies and Systems, Regional Office for Europe, World Health Organization, Copenhagen, Denmark.
Front Digit Health ; 3: 707902, 2021.
Article em En | MEDLINE | ID: mdl-34713179
ABSTRACT

Background:

In order to prevent spread and improve control of infectious diseases, public health experts need to closely monitor human and animal populations. Infectious disease surveillance is an established, routine data collection process essential for early warning, rapid response, and disease control. The quantity of data potentially useful for early warning and surveillance has increased exponentially due to social media and other big data streams. Digital epidemiology is a novel discipline that includes harvesting, analysing, and interpreting data that were not initially collected for healthcare needs to enhance traditional surveillance. During the current COVID-19 pandemic, the importance of digital epidemiology complementing traditional public health approaches has been highlighted.

Objective:

The aim of this paper is to provide a comprehensive overview for the application of data and digital solutions to support surveillance strategies and draw implications for surveillance in the context of the COVID-19 pandemic and beyond.

Methods:

A search was conducted in PubMed databases. Articles published between January 2005 and May 2020 on the use of digital solutions to support surveillance strategies in pandemic settings and health emergencies were evaluated.

Results:

In this paper, we provide a comprehensive overview of digital epidemiology, available data sources, and components of 21st-century digital surveillance, early warning and response, outbreak management and control, and digital interventions.

Conclusions:

Our main purpose was to highlight the plausible use of new surveillance strategies, with implications for the COVID-19 pandemic strategies and then to identify opportunities and challenges for the successful development and implementation of digital solutions during non-emergency times of routine surveillance, with readiness for early-warning and response for future pandemics. The enhancement of traditional surveillance systems with novel digital surveillance methods opens a direction for the most effective framework for preparedness and response to future pandemics.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Revista: Front Digit Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Revista: Front Digit Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido