Towards a genomics-informed, real-time, global pathogen surveillance system

JL Gardy, NJ Loman - Nature Reviews Genetics, 2018 - nature.com
Abstract The recent Ebola and Zika epidemics demonstrate the need for the continuous
surveillance, rapid diagnosis and real-time tracking of emerging infectious diseases. Fast …

[HTML][HTML] Assessing the methods, tools, and statistical approaches in Google Trends research: systematic review

A Mavragani, G Ochoa, KP Tsagarakis - Journal of Medical Internet …, 2018 - jmir.org
Background In the era of information overload, are big data analytics the answer to access
and better manage available knowledge? Over the last decade, the use of Web-based data …

[HTML][HTML] Predicting COVID-19 incidence through analysis of google trends data in Iran: data mining and deep learning pilot study

SM Ayyoubzadeh, SM Ayyoubzadeh… - JMIR public health …, 2020 - publichealth.jmir.org
Background: The recent global outbreak of coronavirus disease (COVID-19) is affecting
many countries worldwide. Iran is one of the top 10 most affected countries. Search engines …

Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020

C Li, LJ Chen, X Chen, M Zhang, CP Pang… - …, 2020 - eurosurveillance.org
The peak of Internet searches and social media data about the coronavirus disease 2019
(COVID-19) outbreak occurred 10–14 days earlier than the peak of daily incidences in …

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time

NE Kogan, L Clemente, P Liautaud, J Kaashoek… - Science …, 2021 - science.org
Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …

[HTML][HTML] Infodemiology and infoveillance: scoping review

A Mavragani - Journal of medical internet research, 2020 - jmir.org
Background Web-based sources are increasingly employed in the analysis, detection, and
forecasting of diseases and epidemics, and in predicting human behavior toward several …

[HTML][HTML] Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: retrospective observational infoveillance …

J Li, Q Xu, R Cuomo… - JMIR Public Health …, 2020 - publichealth.jmir.org
Background: The coronavirus disease (COVID-19) pandemic, which began in Wuhan, China
in December 2019, is rapidly spreading worldwide with over 1.9 million cases as of mid-April …

[HTML][HTML] Early transmissibility assessment of a novel coronavirus in Wuhan, China

MS Majumder, KD Mandl - Social Science Research Network, 2020 - ncbi.nlm.nih.gov
Funding Statement: This work was supported in part by grant T32HD040128 from the Eunice
Kennedy Shriver National Institute of Child Health and Human Development, National …

[HTML][HTML] Correlations of online search engine trends with coronavirus disease (COVID-19) incidence: infodemiology study

TS Higgins, AW Wu, D Sharma, EA Illing… - JMIR public health …, 2020 - publichealth.jmir.org
Background The coronavirus disease (COVID-19) is the latest pandemic of the digital age.
With the internet harvesting large amounts of data from the general population in real time …

[HTML][HTML] Cross-country comparison of public awareness, rumors, and behavioral responses to the COVID-19 epidemic: infodemiology study

Z Hou, F Du, X Zhou, H Jiang, S Martin… - Journal of medical …, 2020 - jmir.org
Background Understanding public behavioral responses to the coronavirus disease (COVID-
19) epidemic and the accompanying infodemic is crucial to controlling the epidemic …