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Article: Nowcasting (short-term forecasting) of influenza epidemics in local settings, Sweden, 2008–2019

TitleNowcasting (short-term forecasting) of influenza epidemics in local settings, Sweden, 2008–2019
Authors
Keywordsadult
cohort analysis
electronic health record
epidemic
forecasting
Issue Date2020
PublisherUS Department of Health and Human Services, Centers for Disease Control and Prevention. The Journal's web site is located at http://www.cdc.gov/ncidod/EID/index.htm
Citation
Emerging Infectious Diseases, 2020, v. 26 n. 11, p. 2669-2677 How to Cite?
AbstractThe 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.
Descriptioneid_2-s2.0-85094220836
Persistent Identifierhttp://hdl.handle.net/10722/293478
ISSN
2021 Impact Factor: 16.126
2020 SCImago Journal Rankings: 2.540
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSpreco, A-
dc.contributor.authorEriksson, O-
dc.contributor.authorDahlström, Ö-
dc.contributor.authorCowling, BJ-
dc.contributor.authorBiggerstaff, M-
dc.contributor.authorLjunggren, G-
dc.contributor.authorJöud, A-
dc.contributor.authorIstefan, E-
dc.contributor.authorTimpka, T-
dc.date.accessioned2020-11-23T08:17:21Z-
dc.date.available2020-11-23T08:17:21Z-
dc.date.issued2020-
dc.identifier.citationEmerging Infectious Diseases, 2020, v. 26 n. 11, p. 2669-2677-
dc.identifier.issn1080-6040-
dc.identifier.urihttp://hdl.handle.net/10722/293478-
dc.descriptioneid_2-s2.0-85094220836-
dc.description.abstractThe 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.-
dc.languageeng-
dc.publisherUS Department of Health and Human Services, Centers for Disease Control and Prevention. The Journal's web site is located at http://www.cdc.gov/ncidod/EID/index.htm-
dc.relation.ispartofEmerging Infectious Diseases-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectadult-
dc.subjectcohort analysis-
dc.subjectelectronic health record-
dc.subjectepidemic-
dc.subjectforecasting-
dc.titleNowcasting (short-term forecasting) of influenza epidemics in local settings, Sweden, 2008–2019-
dc.typeArticle-
dc.identifier.emailCowling, BJ: bcowling@hku.hk-
dc.identifier.authorityCowling, BJ=rp01326-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3201/eid2611.200448-
dc.identifier.pmid33079036-
dc.identifier.pmcidPMC7588521-
dc.identifier.scopuseid_2-s2.0-85094220836-
dc.identifier.hkuros319943-
dc.identifier.volume26-
dc.identifier.issue11-
dc.identifier.spage2669-
dc.identifier.epage2677-
dc.identifier.isiWOS:000596803200015-
dc.publisher.placeUnited States-
dc.identifier.issnl1080-6040-

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