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Development and validation of influenza forecasting for 64 temperate and tropical countries

Accurate forecasts of influenza incidence can be used to inform medical and public health decision-making and response efforts. However, forecasting systems are uncommon in most countries, with a few notable exceptions. Here we use publicly available data from the World Health Organization to genera...

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Autores principales: Kramer, Sarah C., Shaman, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411231/
https://www.ncbi.nlm.nih.gov/pubmed/30811396
http://dx.doi.org/10.1371/journal.pcbi.1006742
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author Kramer, Sarah C.
Shaman, Jeffrey
author_facet Kramer, Sarah C.
Shaman, Jeffrey
author_sort Kramer, Sarah C.
collection PubMed
description Accurate forecasts of influenza incidence can be used to inform medical and public health decision-making and response efforts. However, forecasting systems are uncommon in most countries, with a few notable exceptions. Here we use publicly available data from the World Health Organization to generate retrospective forecasts of influenza peak timing and peak intensity for 64 countries, including 18 tropical and subtropical countries. We find that accurate and well-calibrated forecasts can be generated for countries in temperate regions, with peak timing and intensity accuracy exceeding 50% at four and two weeks prior to the predicted epidemic peak, respectively. Forecasts are significantly less accurate in the tropics and subtropics for both peak timing and intensity. This work indicates that, in temperate regions around the world, forecasts can be generated with sufficient lead time to prepare for upcoming outbreak peak incidence.
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spelling pubmed-64112312019-04-02 Development and validation of influenza forecasting for 64 temperate and tropical countries Kramer, Sarah C. Shaman, Jeffrey PLoS Comput Biol Research Article Accurate forecasts of influenza incidence can be used to inform medical and public health decision-making and response efforts. However, forecasting systems are uncommon in most countries, with a few notable exceptions. Here we use publicly available data from the World Health Organization to generate retrospective forecasts of influenza peak timing and peak intensity for 64 countries, including 18 tropical and subtropical countries. We find that accurate and well-calibrated forecasts can be generated for countries in temperate regions, with peak timing and intensity accuracy exceeding 50% at four and two weeks prior to the predicted epidemic peak, respectively. Forecasts are significantly less accurate in the tropics and subtropics for both peak timing and intensity. This work indicates that, in temperate regions around the world, forecasts can be generated with sufficient lead time to prepare for upcoming outbreak peak incidence. Public Library of Science 2019-02-27 /pmc/articles/PMC6411231/ /pubmed/30811396 http://dx.doi.org/10.1371/journal.pcbi.1006742 Text en © 2019 Kramer, Shaman http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kramer, Sarah C.
Shaman, Jeffrey
Development and validation of influenza forecasting for 64 temperate and tropical countries
title Development and validation of influenza forecasting for 64 temperate and tropical countries
title_full Development and validation of influenza forecasting for 64 temperate and tropical countries
title_fullStr Development and validation of influenza forecasting for 64 temperate and tropical countries
title_full_unstemmed Development and validation of influenza forecasting for 64 temperate and tropical countries
title_short Development and validation of influenza forecasting for 64 temperate and tropical countries
title_sort development and validation of influenza forecasting for 64 temperate and tropical countries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411231/
https://www.ncbi.nlm.nih.gov/pubmed/30811396
http://dx.doi.org/10.1371/journal.pcbi.1006742
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