Completeness of open access FluNet influenza surveillance data for Pan-America in 2005–2019

Abstract For several decades, the World Health Organization has collected, maintained, and distributed invaluable country-specific disease surveillance data that allow experts to develop new analytical tools for disease tracking and forecasting. To capture the extent of available data within these s...

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Autores principales:	Ryan B. Simpson, Jordyn Gottlieb, Bingjie Zhou, Meghan A. Hartwick, Elena N. Naumova
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/adfde3fee6404002b5a90a52ce166f76
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spelling	oai:doaj.org-article:adfde3fee6404002b5a90a52ce166f762021-12-02T14:12:46ZCompleteness of open access FluNet influenza surveillance data for Pan-America in 2005–201910.1038/s41598-020-80842-92045-2322https://doaj.org/article/adfde3fee6404002b5a90a52ce166f762021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80842-9https://doaj.org/toc/2045-2322Abstract For several decades, the World Health Organization has collected, maintained, and distributed invaluable country-specific disease surveillance data that allow experts to develop new analytical tools for disease tracking and forecasting. To capture the extent of available data within these sources, we proposed a completeness metric based on the effective time series length. Using FluNet records for 29 Pan-American countries from 2005 to 2019, we explored whether completeness was associated with health expenditure indicators adjusting for surveillance system heterogeneity. We observed steady improvements in completeness by 4.2–6.3% annually, especially after the A(H1N1)-2009 pandemic, when 24 countries reached > 95% completeness. Doubling in decadal health expenditure per capita was associated with ~ 7% increase in overall completeness. The proposed metric could navigate experts in assessing open access data quality and quantity for conducting credible statistical analyses, estimating disease trends, and developing outbreak forecasting systems.Ryan B. SimpsonJordyn GottliebBingjie ZhouMeghan A. HartwickElena N. NaumovaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ryan B. Simpson Jordyn Gottlieb Bingjie Zhou Meghan A. Hartwick Elena N. Naumova Completeness of open access FluNet influenza surveillance data for Pan-America in 2005–2019
description	Abstract For several decades, the World Health Organization has collected, maintained, and distributed invaluable country-specific disease surveillance data that allow experts to develop new analytical tools for disease tracking and forecasting. To capture the extent of available data within these sources, we proposed a completeness metric based on the effective time series length. Using FluNet records for 29 Pan-American countries from 2005 to 2019, we explored whether completeness was associated with health expenditure indicators adjusting for surveillance system heterogeneity. We observed steady improvements in completeness by 4.2–6.3% annually, especially after the A(H1N1)-2009 pandemic, when 24 countries reached > 95% completeness. Doubling in decadal health expenditure per capita was associated with ~ 7% increase in overall completeness. The proposed metric could navigate experts in assessing open access data quality and quantity for conducting credible statistical analyses, estimating disease trends, and developing outbreak forecasting systems.
format	article
author	Ryan B. Simpson Jordyn Gottlieb Bingjie Zhou Meghan A. Hartwick Elena N. Naumova
author_facet	Ryan B. Simpson Jordyn Gottlieb Bingjie Zhou Meghan A. Hartwick Elena N. Naumova
author_sort	Ryan B. Simpson
title	Completeness of open access FluNet influenza surveillance data for Pan-America in 2005–2019
title_short	Completeness of open access FluNet influenza surveillance data for Pan-America in 2005–2019
title_full	Completeness of open access FluNet influenza surveillance data for Pan-America in 2005–2019
title_fullStr	Completeness of open access FluNet influenza surveillance data for Pan-America in 2005–2019
title_full_unstemmed	Completeness of open access FluNet influenza surveillance data for Pan-America in 2005–2019
title_sort	completeness of open access flunet influenza surveillance data for pan-america in 2005–2019
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/adfde3fee6404002b5a90a52ce166f76
work_keys_str_mv	AT ryanbsimpson completenessofopenaccessflunetinfluenzasurveillancedataforpanamericain20052019 AT jordyngottlieb completenessofopenaccessflunetinfluenzasurveillancedataforpanamericain20052019 AT bingjiezhou completenessofopenaccessflunetinfluenzasurveillancedataforpanamericain20052019 AT meghanahartwick completenessofopenaccessflunetinfluenzasurveillancedataforpanamericain20052019 AT elenannaumova completenessofopenaccessflunetinfluenzasurveillancedataforpanamericain20052019
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Completeness of open access FluNet influenza surveillance data for Pan-America in 2005–2019

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