Analytics for Investigation of Disease Outbreaks: Web-Based Analytics Facilitating Situational Awareness in Unfolding Disease Outbreaks

JMIR Public Health and Surveillance
Nileena VelappanAlina Deshpande

Abstract

Information from historical infectious disease outbreaks provides real-world data about outbreaks and their impacts on affected populations. These data can be used to develop a picture of an unfolding outbreak in its early stages, when incoming information is sparse and isolated, to identify effective control measures and guide their implementation. This study aimed to develop a publicly accessible Web-based visual analytic called Analytics for the Investigation of Disease Outbreaks (AIDO) that uses historical disease outbreak information for decision support and situational awareness of an unfolding outbreak. We developed an algorithm to allow the matching of unfolding outbreak data to a representative library of historical outbreaks. This process provides epidemiological clues that facilitate a user's understanding of an unfolding outbreak and facilitates informed decisions about mitigation actions. Disease-specific properties to build a complete picture of the unfolding event were identified through a data-driven approach. A method of analogs approach was used to develop a short-term forecasting feature in the analytic. The 4 major steps involved in developing this tool were (1) collection of historic outbreak data and prepa...Continue Reading

References

Jun 27, 2001·Cadernos de saúde pública·J P Woodall
Nov 11, 2003·American Journal of Epidemiology·Cécile ViboudAntoine Flahault
Nov 15, 2008·Nature Reviews. Microbiology·Margo Chase-ToppingMark Woolhouse
Nov 29, 2013·The New England Journal of Medicine·Willem G van PanhuisDonald S Burke
Feb 14, 2014·Emerging Themes in Epidemiology·Isaac Chun-Hai Fung
Apr 5, 2014·PLoS Pathogens·Fabini D OrataYan Boucher
Aug 2, 2014·American Journal of Epidemiology·Nicole G CamposJane J Kim
Sep 24, 2015·PloS One·Eva AlonsoAna L García-Pérez
Nov 9, 2017·The Lancet Infectious Diseases·Iqbal KabirUbydul Haque
Nov 29, 2017·Nepal Journal of Epidemiology·Indrajit Banerjee

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Citations

Oct 2, 2019·PLoS Computational Biology·Reid PriedhorskyDave Osthus
Dec 15, 2020·JMIR Public Health and Surveillance·Nidhi ParikhAlina Deshpande

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Software Mentioned

PostgreSQL
Plotly
AIDO
Analytics for the AIDO
R
PlotDigitizer
- foundation
jQuery
Bootstrap

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