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Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018

INTRODUCTION: Seasonal influenza is a significant public health challenge worldwide. This study aimed to investigate the epidemiological characteristics and spatial patterns of severe hospitalized influenza cases confirmed by polymerase chain reaction (PCR) in Iran. METHODS: Data were obtained from...

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Autores principales: MohammadEbrahimi, Shahab, Kiani, Behzad, Rahmatinejad, Zahra, Baral, Stefan, Hashtarkhani, Soheil, Dehghan-Tezerjani, Mohammad, Zare, Elahe, Arian, Mahnaz, Kiani, Fatemeh, Gouya, Mohammad Mehdi, Dadras, Mohammad Nasr, Karamouzian, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747007/
https://www.ncbi.nlm.nih.gov/pubmed/36512615
http://dx.doi.org/10.1371/journal.pone.0278900
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author MohammadEbrahimi, Shahab
Kiani, Behzad
Rahmatinejad, Zahra
Baral, Stefan
Hashtarkhani, Soheil
Dehghan-Tezerjani, Mohammad
Zare, Elahe
Arian, Mahnaz
Kiani, Fatemeh
Gouya, Mohammad Mehdi
Dadras, Mohammad Nasr
Karamouzian, Mohammad
author_facet MohammadEbrahimi, Shahab
Kiani, Behzad
Rahmatinejad, Zahra
Baral, Stefan
Hashtarkhani, Soheil
Dehghan-Tezerjani, Mohammad
Zare, Elahe
Arian, Mahnaz
Kiani, Fatemeh
Gouya, Mohammad Mehdi
Dadras, Mohammad Nasr
Karamouzian, Mohammad
author_sort MohammadEbrahimi, Shahab
collection PubMed
description INTRODUCTION: Seasonal influenza is a significant public health challenge worldwide. This study aimed to investigate the epidemiological characteristics and spatial patterns of severe hospitalized influenza cases confirmed by polymerase chain reaction (PCR) in Iran. METHODS: Data were obtained from Iran’s Ministry of Health and Medical Education and included all hospitalized lab-confirmed influenza cases from January 1, 2016, to December 30, 2018 (n = 9146). The Getis-Ord Gi* and Local Moran’s I statistics were used to explore the hotspot areas and spatial cluster/outlier patterns of influenza. We also built a multivariable logistic regression model to identify covariates associated with patients’ mortality. RESULTS: Cumulative incidence and mortality rate were estimated at 11.44 and 0.49 (per 100,000), respectively, and case fatality rate was estimated at 4.35%. The patients’ median age was 40 (interquartile range: 22–63), and 55.5% (n = 5073) were female. The hotspot and cluster analyses revealed high-risk areas in northern parts of Iran, especially in cold, humid, and densely populated areas. Moreover, influenza hotspots were more common during the colder months of the year, especially in high-elevated regions. Mortality was significantly associated with older age (adjusted odds ratio [aOR]: 1.01, 95% confidence interval [CI]: 1.01–1.02), infection with virus type-A (aOR: 1.64, 95% CI: 1.27–2.15), male sex (aOR: 1.77, 95% CI: 1.44–2.18), cardiovascular disease (aOR: 1.71, 95% CI: 1.33–2.20), chronic obstructive pulmonary disease (aOR: 1.82, 95% CI: 1.40–2.34), malignancy (aOR: 4.77, 95% CI: 2.87–7.62), and grade-II obesity (aOR: 2.11, 95% CI: 1.09–3.74). CONCLUSIONS: We characterized the spatial and epidemiological heterogeneities of severe hospitalized influenza cases confirmed by PCR in Iran. Detecting influenza hotspot clusters could inform prioritization and geographic specificity of influenza prevention, testing, and mitigation resource management, including vaccination planning in Iran.
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spelling pubmed-97470072022-12-14 Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018 MohammadEbrahimi, Shahab Kiani, Behzad Rahmatinejad, Zahra Baral, Stefan Hashtarkhani, Soheil Dehghan-Tezerjani, Mohammad Zare, Elahe Arian, Mahnaz Kiani, Fatemeh Gouya, Mohammad Mehdi Dadras, Mohammad Nasr Karamouzian, Mohammad PLoS One Research Article INTRODUCTION: Seasonal influenza is a significant public health challenge worldwide. This study aimed to investigate the epidemiological characteristics and spatial patterns of severe hospitalized influenza cases confirmed by polymerase chain reaction (PCR) in Iran. METHODS: Data were obtained from Iran’s Ministry of Health and Medical Education and included all hospitalized lab-confirmed influenza cases from January 1, 2016, to December 30, 2018 (n = 9146). The Getis-Ord Gi* and Local Moran’s I statistics were used to explore the hotspot areas and spatial cluster/outlier patterns of influenza. We also built a multivariable logistic regression model to identify covariates associated with patients’ mortality. RESULTS: Cumulative incidence and mortality rate were estimated at 11.44 and 0.49 (per 100,000), respectively, and case fatality rate was estimated at 4.35%. The patients’ median age was 40 (interquartile range: 22–63), and 55.5% (n = 5073) were female. The hotspot and cluster analyses revealed high-risk areas in northern parts of Iran, especially in cold, humid, and densely populated areas. Moreover, influenza hotspots were more common during the colder months of the year, especially in high-elevated regions. Mortality was significantly associated with older age (adjusted odds ratio [aOR]: 1.01, 95% confidence interval [CI]: 1.01–1.02), infection with virus type-A (aOR: 1.64, 95% CI: 1.27–2.15), male sex (aOR: 1.77, 95% CI: 1.44–2.18), cardiovascular disease (aOR: 1.71, 95% CI: 1.33–2.20), chronic obstructive pulmonary disease (aOR: 1.82, 95% CI: 1.40–2.34), malignancy (aOR: 4.77, 95% CI: 2.87–7.62), and grade-II obesity (aOR: 2.11, 95% CI: 1.09–3.74). CONCLUSIONS: We characterized the spatial and epidemiological heterogeneities of severe hospitalized influenza cases confirmed by PCR in Iran. Detecting influenza hotspot clusters could inform prioritization and geographic specificity of influenza prevention, testing, and mitigation resource management, including vaccination planning in Iran. Public Library of Science 2022-12-13 /pmc/articles/PMC9747007/ /pubmed/36512615 http://dx.doi.org/10.1371/journal.pone.0278900 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
MohammadEbrahimi, Shahab
Kiani, Behzad
Rahmatinejad, Zahra
Baral, Stefan
Hashtarkhani, Soheil
Dehghan-Tezerjani, Mohammad
Zare, Elahe
Arian, Mahnaz
Kiani, Fatemeh
Gouya, Mohammad Mehdi
Dadras, Mohammad Nasr
Karamouzian, Mohammad
Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018
title Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018
title_full Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018
title_fullStr Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018
title_full_unstemmed Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018
title_short Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018
title_sort geospatial epidemiology of hospitalized patients with a positive influenza assay: a nationwide study in iran, 2016–2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747007/
https://www.ncbi.nlm.nih.gov/pubmed/36512615
http://dx.doi.org/10.1371/journal.pone.0278900
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