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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6411231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kramersarahc developmentandvalidationofinfluenzaforecastingfor64temperateandtropicalcountries AT shamanjeffrey developmentandvalidationofinfluenzaforecastingfor64temperateandtropicalcountries |