Internet-based Surveillance Systems and Infectious Diseases Prediction: An Updated Review of the Last 10 Years and Lessons from the COVID-19 Pandemic

Abstract The last decade has seen major advances and growth in internet-based surveillance for infectious diseases through advanced computational capacity, growing adoption of smart devices, increased availability of Artificial Intelligence (AI), alongside environmental pressures including climate a...

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Main Authors: Hannah McClymont (Author), Stephen B. Lambert (Author), Ian Barr (Author), Sotiris Vardoulakis (Author), Hilary Bambrick (Author), Wenbiao Hu (Author)
Format: Book
Published: Springer, 2024-08-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Hannah McClymont  |e author 
700 1 0 |a Stephen B. Lambert  |e author 
700 1 0 |a Ian Barr  |e author 
700 1 0 |a Sotiris Vardoulakis  |e author 
700 1 0 |a Hilary Bambrick  |e author 
700 1 0 |a Wenbiao Hu  |e author 
245 0 0 |a Internet-based Surveillance Systems and Infectious Diseases Prediction: An Updated Review of the Last 10 Years and Lessons from the COVID-19 Pandemic 
260 |b Springer,   |c 2024-08-01T00:00:00Z. 
500 |a 10.1007/s44197-024-00272-y 
500 |a 2210-6014 
520 |a Abstract The last decade has seen major advances and growth in internet-based surveillance for infectious diseases through advanced computational capacity, growing adoption of smart devices, increased availability of Artificial Intelligence (AI), alongside environmental pressures including climate and land use change contributing to increased threat and spread of pandemics and emerging infectious diseases. With the increasing burden of infectious diseases and the COVID-19 pandemic, the need for developing novel technologies and integrating internet-based data approaches to improving infectious disease surveillance is greater than ever. In this systematic review, we searched the scientific literature for research on internet-based or digital surveillance for influenza, dengue fever and COVID-19 from 2013 to 2023. We have provided an overview of recent internet-based surveillance research for emerging infectious diseases (EID), describing changes in the digital landscape, with recommendations for future research directed at public health policymakers, healthcare providers, and government health departments to enhance traditional surveillance for detecting, monitoring, reporting, and responding to influenza, dengue, and COVID-19. 
546 |a EN 
690 |a Early Warning Systems 
690 |a Internet-based Surveillance 
690 |a COVID-19 
690 |a Influenza 
690 |a Dengue 
690 |a mHealth 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Journal of Epidemiology and Global Health, Vol 14, Iss 3, Pp 645-657 (2024) 
787 0 |n https://doi.org/10.1007/s44197-024-00272-y 
787 0 |n https://doaj.org/toc/2210-6014 
856 4 1 |u https://doaj.org/article/1f5787e66d534d9d97bd8e5e7d2a5caf  |z Connect to this object online.