Evidence map›Paper›PMID 36512615›Full record

ArticlePloS one2022

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

Shahab MohammadEbrahimi, Behzad Kiani, Zahra Rahmatinejad, Stefan Baral, Soheil Hashtarkhani, Mohammad Dehghan-Tezerjani, Elahe Zare, Mahnaz Arian, Fatemeh Kiani, Mohammad Mehdi Gouya and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 3 countries.

Shahab MohammadEbrahimiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Behzad KianiÉcole de Santé Publique de L'Université de Montréal (ESPUM), Québec, Montréal, Canada.ORCID 0000-0002-8816-328X
Zahra RahmatinejadDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Stefan BaralDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Soheil HashtarkhaniDepartment of Health Information Technology, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Mohammad Dehghan-TezerjaniDepartment of Anesthesiology and Critical Care, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Elahe ZareCardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mahnaz ArianDepartment of Infectious Diseases, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Fatemeh KianiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Mehdi GouyaCenter for Communicable Disease Control, Ministry of Health and Medical Education, Tehran, Iran.
Mohammad Nasr DadrasCenter for Communicable Disease Control, Ministry of Health and Medical Education, Tehran, Iran.
Mohammad KaramouzianBrown School of Public Health, Brown University, Providence, RI, United States of America.
Mashhad University of Medical Sciences · IRMinistry of Health and Medical Education · IRShahid Sadoughi University of Medical Sciences and Health Services · IRJohns Hopkins University · USShahid Beheshti University of Medical Sciences · IRSt. Michael's Hospital · CAUniversité de Montréal · CAUniversity of Neyshabur · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeasonal 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.

methodsData 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.

resultsCumulative 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).

conclusionsWe 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.

Indexed as

Influenza, HumanAdultFemaleHumansIranLogistic ModelsMaleOdds RatioVaccination

Identifiers

PMID36512615
PMCPMC9747007
OpenAlexW4311327003

What OpenQuestion holds

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LicenceCC0
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.