Evidence map›Paper›PMID 42516654›Full record

ArticleMedical journal of the Islamic Republic of Iran2026

Provincial Disparities in the COVID-19 Burden: Hospital Data Analysis from Iran.

Soheila Damiri, Behzad Raei, Hossein Ranjbaran, Rajabali Daroudi, Abolfazl Zendehdel, Reza Bakhtiari Dastgerdi, Zahra Shahali, Roghayeh Esmaeili, Mahboubeh Ghavidast Kuhpayeh

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Soheila DamiriNational Center for Health Insurance Research, Tehran, Iran.
Behzad RaeiSocial Determinants of Health Research Center, Health and Metabolic Diseases Research Institute, Zanjan University of Medical Sciences, Zanjan, Iran.
Hossein RanjbaranImmunogenetics Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0002-4402-5002
Rajabali DaroudiDepartment of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0487-4114
Abolfazl ZendehdelInternal Medicine Department, Ziaeian Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Reza Bakhtiari DastgerdiClinical Research Development Center, Shahid Rahnemoon Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Zahra ShahaliDepartment of Public Health, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.
Roghayeh EsmaeiliStudent Research Committee, Department of Public Health, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.
Mahboubeh Ghavidast KuhpayehNational Center for Health Insurance Research, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite extensive evidence regarding the significant impact of the COVID-19 pandemic on population health in Iran, its effects at the sub-national level and comparisons across different geographic regions have garnered less attention. This study aimed to estimate key disease burden indicators, including incidence rate, mortality rate, case fatality rate, and disability-adjusted life years, across Iranian provinces during 2020 and 2021. Methods: We obtained and analyzed hospital billing records of beneficiaries from the Iran Health Insurance Organization (IHIO) who were admitted for COVID-19 across Iran from the onset of the pandemic until December 2021. We identified cases using the WHO-recommended ICD-10 codes U07.1 and U07.2. In addition to reporting provincial-level rates of incidence, mortality, and case fatality rates, we also assessed disease burden by aggregating Years of Life Lost and Years Lived with Disability. Data management and analysis were conducted using Microsoft Excel Office 19 (Microsoft Corporation). Results: Substantial interprovincial disparities were observed. Semnan (3,331) and Yazd (3,171) recorded the highest incidence rates per 100,000 people, whereas Qom (224) and Alborz (212) reported the highest death rates. In 2020, the highest case fatality rate (18.59%) was recorded in Razavi Khorasan province, while in 2021, the peak rate (12.52%) was observed in Qom province, both rates exceeding the national average. The burden of disease peaked in Qom (4,287) and the central provinces, while the lowest burden was observed in Kohgiluyeh and Boyer-Ahmad (1,042). Conclusion: This study indicates geographic, age, and sex-based disparities in the burden of COVID-19 in Iran. Therefore, future pandemic preparedness policies must account for regional differences and allocate resources equitably based on the needs of various population subgroups. Further research on health inequalities and comprehensive data on social determinants of health is essential.This provides stronger evidence for policymakers to address disparities in COVID-19 case fatality and mortality rates.

Indexed as

COVID-19Disability-Adjusted Life YearsEpidemiologyIranSubnational Health Disparities

Identifiers

PMID42516654
PMCPMC13404396

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.