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Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019
The timing of influenza case incidence during epidemics can differ between regions within nations and states. We conducted a prospective 10-year evaluation (January 2008–February 2019) of a local influenza nowcasting (short-term forecasting) method in 3 urban counties in Sweden with independent publ...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588521/ https://www.ncbi.nlm.nih.gov/pubmed/33079036 http://dx.doi.org/10.3201/eid2611.200448 |
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author | Spreco, Armin Eriksson, Olle Dahlström, Örjan Cowling, Benjamin John Biggerstaff, Matthew Ljunggren, Gunnar Jöud, Anna Istefan, Emanuel Timpka, Toomas |
author_facet | Spreco, Armin Eriksson, Olle Dahlström, Örjan Cowling, Benjamin John Biggerstaff, Matthew Ljunggren, Gunnar Jöud, Anna Istefan, Emanuel Timpka, Toomas |
author_sort | Spreco, Armin |
collection | PubMed |
description | The timing of influenza case incidence during epidemics can differ between regions within nations and states. We conducted a prospective 10-year evaluation (January 2008–February 2019) of a local influenza nowcasting (short-term forecasting) method in 3 urban counties in Sweden with independent public health administrations by using routine health information system data. Detection-of-epidemic-start (detection), peak timing, and peak intensity were nowcasted. Detection displayed satisfactory performance in 2 of the 3 counties for all nonpandemic influenza seasons and in 6 of 9 seasons for the third county. Peak-timing prediction showed satisfactory performance from the influenza season 2011–12 onward. Peak-intensity prediction also was satisfactory for influenza seasons in 2 of the counties but poor in 1 county. Local influenza nowcasting was satisfactory for seasonal influenza in 2 of 3 counties. The less satisfactory performance in 1 of the study counties might be attributable to population mixing with a neighboring metropolitan area. |
format | Online Article Text |
id | pubmed-7588521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-75885212020-11-01 Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019 Spreco, Armin Eriksson, Olle Dahlström, Örjan Cowling, Benjamin John Biggerstaff, Matthew Ljunggren, Gunnar Jöud, Anna Istefan, Emanuel Timpka, Toomas Emerg Infect Dis Research The timing of influenza case incidence during epidemics can differ between regions within nations and states. We conducted a prospective 10-year evaluation (January 2008–February 2019) of a local influenza nowcasting (short-term forecasting) method in 3 urban counties in Sweden with independent public health administrations by using routine health information system data. Detection-of-epidemic-start (detection), peak timing, and peak intensity were nowcasted. Detection displayed satisfactory performance in 2 of the 3 counties for all nonpandemic influenza seasons and in 6 of 9 seasons for the third county. Peak-timing prediction showed satisfactory performance from the influenza season 2011–12 onward. Peak-intensity prediction also was satisfactory for influenza seasons in 2 of the counties but poor in 1 county. Local influenza nowcasting was satisfactory for seasonal influenza in 2 of 3 counties. The less satisfactory performance in 1 of the study counties might be attributable to population mixing with a neighboring metropolitan area. Centers for Disease Control and Prevention 2020-11 /pmc/articles/PMC7588521/ /pubmed/33079036 http://dx.doi.org/10.3201/eid2611.200448 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Spreco, Armin Eriksson, Olle Dahlström, Örjan Cowling, Benjamin John Biggerstaff, Matthew Ljunggren, Gunnar Jöud, Anna Istefan, Emanuel Timpka, Toomas Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019 |
title | Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019 |
title_full | Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019 |
title_fullStr | Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019 |
title_full_unstemmed | Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019 |
title_short | Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019 |
title_sort | nowcasting (short-term forecasting) of influenza epidemics in local settings, sweden, 2008–2019 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588521/ https://www.ncbi.nlm.nih.gov/pubmed/33079036 http://dx.doi.org/10.3201/eid2611.200448 |
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