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Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic

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 c...

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Detalles Bibliográficos
Autores principales: Kostkova, Patty, Saigí-Rubió, Francesc, Eguia, Hans, Borbolla, Damian, Verschuuren, Marieke, Hamilton, Clayton, Azzopardi-Muscat, Natasha, Novillo-Ortiz, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522016/
https://www.ncbi.nlm.nih.gov/pubmed/34713179
http://dx.doi.org/10.3389/fdgth.2021.707902
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author Kostkova, Patty
Saigí-Rubió, Francesc
Eguia, Hans
Borbolla, Damian
Verschuuren, Marieke
Hamilton, Clayton
Azzopardi-Muscat, Natasha
Novillo-Ortiz, David
author_facet Kostkova, Patty
Saigí-Rubió, Francesc
Eguia, Hans
Borbolla, Damian
Verschuuren, Marieke
Hamilton, Clayton
Azzopardi-Muscat, Natasha
Novillo-Ortiz, David
author_sort Kostkova, Patty
collection PubMed
description 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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spelling pubmed-85220162021-10-27 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 Front Digit Health Digital Health 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. Frontiers Media S.A. 2021-08-06 /pmc/articles/PMC8522016/ /pubmed/34713179 http://dx.doi.org/10.3389/fdgth.2021.707902 Text en Copyright © 2021 Kostkova, Saigí-Rubió, Eguia, Borbolla, Verschuuren, Hamilton, Azzopardi-Muscat and Novillo-Ortiz. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Kostkova, Patty
Saigí-Rubió, Francesc
Eguia, Hans
Borbolla, Damian
Verschuuren, Marieke
Hamilton, Clayton
Azzopardi-Muscat, Natasha
Novillo-Ortiz, David
Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic
title Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic
title_full Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic
title_fullStr Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic
title_full_unstemmed Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic
title_short Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic
title_sort data and digital solutions to support surveillance strategies in the context of the covid-19 pandemic
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522016/
https://www.ncbi.nlm.nih.gov/pubmed/34713179
http://dx.doi.org/10.3389/fdgth.2021.707902
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