Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread

Abstract Data from digital disease surveillance tools such as ProMED and HealthMap can complement the field surveillance during ongoing outbreaks. Our aim was to investigate the use of data collected through ProMED and HealthMap in real-time outbreak analysis. We developed a flexible statistical mod...

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Autores principales:	Sangeeta Bhatia, Britta Lassmann, Emily Cohn, Angel N. Desai, Malwina Carrion, Moritz U. G. Kraemer, Mark Herringer, John Brownstein, Larry Madoff, Anne Cori, Pierre Nouvellet
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/fd0530bac4794697ba9137613ed468f3
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spelling	oai:doaj.org-article:fd0530bac4794697ba9137613ed468f32021-12-02T18:03:27ZUsing digital surveillance tools for near real-time mapping of the risk of infectious disease spread10.1038/s41746-021-00442-32398-6352https://doaj.org/article/fd0530bac4794697ba9137613ed468f32021-04-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00442-3https://doaj.org/toc/2398-6352Abstract Data from digital disease surveillance tools such as ProMED and HealthMap can complement the field surveillance during ongoing outbreaks. Our aim was to investigate the use of data collected through ProMED and HealthMap in real-time outbreak analysis. We developed a flexible statistical model to quantify spatial heterogeneity in the risk of spread of an outbreak and to forecast short term incidence trends. The model was applied retrospectively to data collected by ProMED and HealthMap during the 2013–2016 West African Ebola epidemic and for comparison, to WHO data. Using ProMED and HealthMap data, the model was able to robustly quantify the risk of disease spread 1–4 weeks in advance and for countries at risk of case importations, quantify where this risk comes from. Our study highlights that ProMED and HealthMap data could be used in real-time to quantify the spatial heterogeneity in risk of spread of an outbreak.Sangeeta BhatiaBritta LassmannEmily CohnAngel N. DesaiMalwina CarrionMoritz U. G. KraemerMark HerringerJohn BrownsteinLarry MadoffAnne CoriPierre NouvelletNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Sangeeta Bhatia Britta Lassmann Emily Cohn Angel N. Desai Malwina Carrion Moritz U. G. Kraemer Mark Herringer John Brownstein Larry Madoff Anne Cori Pierre Nouvellet Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread
description	Abstract Data from digital disease surveillance tools such as ProMED and HealthMap can complement the field surveillance during ongoing outbreaks. Our aim was to investigate the use of data collected through ProMED and HealthMap in real-time outbreak analysis. We developed a flexible statistical model to quantify spatial heterogeneity in the risk of spread of an outbreak and to forecast short term incidence trends. The model was applied retrospectively to data collected by ProMED and HealthMap during the 2013–2016 West African Ebola epidemic and for comparison, to WHO data. Using ProMED and HealthMap data, the model was able to robustly quantify the risk of disease spread 1–4 weeks in advance and for countries at risk of case importations, quantify where this risk comes from. Our study highlights that ProMED and HealthMap data could be used in real-time to quantify the spatial heterogeneity in risk of spread of an outbreak.
format	article
author	Sangeeta Bhatia Britta Lassmann Emily Cohn Angel N. Desai Malwina Carrion Moritz U. G. Kraemer Mark Herringer John Brownstein Larry Madoff Anne Cori Pierre Nouvellet
author_facet	Sangeeta Bhatia Britta Lassmann Emily Cohn Angel N. Desai Malwina Carrion Moritz U. G. Kraemer Mark Herringer John Brownstein Larry Madoff Anne Cori Pierre Nouvellet
author_sort	Sangeeta Bhatia
title	Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread
title_short	Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread
title_full	Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread
title_fullStr	Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread
title_full_unstemmed	Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread
title_sort	using digital surveillance tools for near real-time mapping of the risk of infectious disease spread
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fd0530bac4794697ba9137613ed468f3
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Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread

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