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2503. Assessment of State-Level Influenza Season Severity—Utah, 2017–2018

BACKGROUND: Influenza surveillance provides national indicators of influenza season severity in the United States. Given the variability in influenza activity from season to season and geographically, real-time state-specific estimates of seasonal influenza severity may help states tailor their publ...

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Autores principales: Hughes, Michelle M, Carmack, Anna, Reed, Gregg M, Spencer, Melanie, Garg, Shikha, Dunn, Angela, Biggerstaff, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253473/
http://dx.doi.org/10.1093/ofid/ofy210.2155
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author Hughes, Michelle M
Carmack, Anna
Reed, Gregg M
Spencer, Melanie
Garg, Shikha
Dunn, Angela
Biggerstaff, Matthew
author_facet Hughes, Michelle M
Carmack, Anna
Reed, Gregg M
Spencer, Melanie
Garg, Shikha
Dunn, Angela
Biggerstaff, Matthew
author_sort Hughes, Michelle M
collection PubMed
description BACKGROUND: Influenza surveillance provides national indicators of influenza season severity in the United States. Given the variability in influenza activity from season to season and geographically, real-time state-specific estimates of seasonal influenza severity may help states tailor their public health communications and resource allocation during influenza seasons. Nationally, the 2017–2018 season was categorized as high severity; we developed disease severity thresholds to characterize the severity of the influenza season in Utah. METHODS: We applied the Moving Epidemic Method for a rapid mid-season assessment of weekly influenza season severity to 3 priority Utah indicators with at least 5 seasons of data: percent of outpatient visits for influenza-like illness, state-wide rate of reported influenza-associated hospitalizations, and percent positive influenza tests from the National Respiratory and Enteric Virus Surveillance System. This method calculates intensity thresholds (ITs) by determining the geometric mean and standard deviation of the 30 highest weekly values, distributed evenly across included seasons, and calculating one-sided confidence intervals. We established 3 ITs that corresponded to a 50% (IT(50)), 10% (IT(90)), and 2% (IT(98)) chance of exceedance during a given influenza season. For each surveillance indicator, we graphed the weekly data against the calculated severity thresholds. RESULTS: We preliminarily categorized the 2017–2018 season as well as the 2014–2015 season, as high severity because ≥2 priority indicators peaked above their IT(90) (Figures 1–3). All other seasons in Utah (beginning in 2012–2013) were categorized as moderate severity because ≥2 indicators peaked between IT(50) and IT(90.) CONCLUSION: The Utah seasonal severity assessment matched the national level assessment for all seasons. Understanding state-specific severity assessments during and after a season may help to inform states’ influenza preparedness activities. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62534732018-11-28 2503. Assessment of State-Level Influenza Season Severity—Utah, 2017–2018 Hughes, Michelle M Carmack, Anna Reed, Gregg M Spencer, Melanie Garg, Shikha Dunn, Angela Biggerstaff, Matthew Open Forum Infect Dis Abstracts BACKGROUND: Influenza surveillance provides national indicators of influenza season severity in the United States. Given the variability in influenza activity from season to season and geographically, real-time state-specific estimates of seasonal influenza severity may help states tailor their public health communications and resource allocation during influenza seasons. Nationally, the 2017–2018 season was categorized as high severity; we developed disease severity thresholds to characterize the severity of the influenza season in Utah. METHODS: We applied the Moving Epidemic Method for a rapid mid-season assessment of weekly influenza season severity to 3 priority Utah indicators with at least 5 seasons of data: percent of outpatient visits for influenza-like illness, state-wide rate of reported influenza-associated hospitalizations, and percent positive influenza tests from the National Respiratory and Enteric Virus Surveillance System. This method calculates intensity thresholds (ITs) by determining the geometric mean and standard deviation of the 30 highest weekly values, distributed evenly across included seasons, and calculating one-sided confidence intervals. We established 3 ITs that corresponded to a 50% (IT(50)), 10% (IT(90)), and 2% (IT(98)) chance of exceedance during a given influenza season. For each surveillance indicator, we graphed the weekly data against the calculated severity thresholds. RESULTS: We preliminarily categorized the 2017–2018 season as well as the 2014–2015 season, as high severity because ≥2 priority indicators peaked above their IT(90) (Figures 1–3). All other seasons in Utah (beginning in 2012–2013) were categorized as moderate severity because ≥2 indicators peaked between IT(50) and IT(90.) CONCLUSION: The Utah seasonal severity assessment matched the national level assessment for all seasons. Understanding state-specific severity assessments during and after a season may help to inform states’ influenza preparedness activities. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6253473/ http://dx.doi.org/10.1093/ofid/ofy210.2155 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Hughes, Michelle M
Carmack, Anna
Reed, Gregg M
Spencer, Melanie
Garg, Shikha
Dunn, Angela
Biggerstaff, Matthew
2503. Assessment of State-Level Influenza Season Severity—Utah, 2017–2018
title 2503. Assessment of State-Level Influenza Season Severity—Utah, 2017–2018
title_full 2503. Assessment of State-Level Influenza Season Severity—Utah, 2017–2018
title_fullStr 2503. Assessment of State-Level Influenza Season Severity—Utah, 2017–2018
title_full_unstemmed 2503. Assessment of State-Level Influenza Season Severity—Utah, 2017–2018
title_short 2503. Assessment of State-Level Influenza Season Severity—Utah, 2017–2018
title_sort 2503. assessment of state-level influenza season severity—utah, 2017–2018
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253473/
http://dx.doi.org/10.1093/ofid/ofy210.2155
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