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Digital epidemiology

What is it, and where is it going

Dados Bibliográficos

ID8248643
AutoresMarcel Salathé (0000-0002-5079-7797, Ecole polytechnique fédérale de Lausanne, autor correspondente)
Ano2018
Volume14
Fascículo1
Páginas1-1
Data de publicação2018-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoLife Sciences Society and Policy (JOURNAL)
Identificadores do periódicoISSN: 2195-7819 • E-ISSN: 2195-7819
EditoraSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s40504-017-0065-7
PMID29302758
OpenAlexW2782447121
IdiomaEN
Citações recebidas17
Referências citadas9

Digital Epidemiology is a new field that has been growing rapidly in the past few years, fueled by the increasing availability of data and computing power, as well as by breakthroughs in data analytics methods. In this short piece, I provide an outlook of where I see the field heading, and offer a broad and a narrow definition of the term

Analytics · Big data · Data mining · Data science · Computer Science · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Engineering · Mathematics

  • Geographic information science and the United States opioid overdose crisis

    Open Access•Justin Sauer, Kathleen Stewart•Social Science & Medicine•2023

  • Preliminary results of the Epidia4Kids study on brain function in children

    Open Access•Yanice Guigou, Alexandre Hennequin et al.•Frontiers in Psychiatry•2025

  • Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology

    Open Access•Ana Cecilia Quiroga Gutiérrez, Daniel Josef Lindegger et al.•International Journal of…•2023

  • Space-Time Dependence of Emotions on Twitter after a Natural Disaster

    Open Access•Sonja Garske, Sonja I Garske et al.•International Journal of…•2021

  • Correlation of publication frequency of newspaper articles with environment and public health issues in fire-prone peatland regions of Riau in Sumatra, Indonesia

    Open Access•Masafumi Ohashi, Akihiro Kameda et al.•Humanities and Social Sciences…•2021

  • Ethical principles for infodemiology and infoveillance studies concerning infodemic management on social media

    Open Access•Marta Lotto, Matheus Lotto et al.•Frontiers in Public Health•2023

  • Digital Data Sources and Their Impact on People's Health

    Open Access•Lan Li, David Novillo-Ortiz et al.•Frontiers in Public Health•2021

  • The Epidia4Kids protocol for a digital epidemiology study on brain functioning in children, based on a multimodality biometry tool running on an unmodified tablet

    Open Access•Vanessa Douet, Vanessa Douet Vannucci et al.•Frontiers in Public Health•2023

  • Evaluating the Effect of the Financial Status to the Mobility Customs

    Open Access•Gergő Pintér, Imre Felde•ISPRS International Journal of…•2021

  • Coronavirus (Covid-19) pandemic

    Open Access•Mario Muselli, Vincenza Cofini et al.•International Journal of Disaster…•2021

  • Epidemics and epidemiology

    Open Access•Andreu Segura•Gaceta Sanitaria•2023

  • Obtaining contextually relevant geographic data using Facebook recruitment in public health studies

    Open Access•Erik J Nelson, Travis Loux et al.•Health & Place•2018

  • Perspectives of patients and clinicians on big data and AI in health

    Open Access•Patrik Hummel, Matthias Braun et al.•AI & Society•2024

  • Correlation between Google Trends on dengue fever and national surveillance report in Indonesia

    Open Access•Atina Husnayain, Anis Fuad et al.•Global Health Action•2019

  • Mapping obesity and diabetes’ representation on Twitter

    Open Access•Francesca Romana Lenzi, Ferdinando Iazzetta•Frontiers in Sociology•2023

  • Digital epidemiology and global health security; an interdisciplinary conversation

    Open Access•Tim Eckmanns, Henning Füller et al.•Life Sciences Society and Policy•2019

  • Introduction to the Special Issue in the Journal of Critical Criminology Mapping Covid Nonconformities

    Open Access•Anna Laskai, Veronika Nagy•Critical Criminology•2023

  • Detecting influenza epidemics using search engine query data

    Open Access•Jeremy Ginsberg, Matthew H Mohebbi et al.•Nature•2009

  • The Parable of Google Flu

    Open Access•David Lazer, Ryan Kennedy et al.•Science•2014

  • Dermatologist-level classification of skin cancer with deep neural networks

    Open Access•Andre Esteva, Brett Kuprel et al.•Nature•2017

  • Deep learning

    Open Access•Yann LeCun, Yoshua Bengio et al.•Nature•2015

Obras citantes distintas17
Citações por ano2,13
Intervalo de citações2018 - 2025 (8)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 17
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