Evidence map›Paper›PMID 34098917›Full record

ArticleBMC public health2021

Spatio-temporal epidemiology of the tuberculosis incidence rate in Iran 2008 to 2018.

Behzad Kiani, Amene Raouf Rahmati, Robert Bergquist, Soheil Hashtarkhani, Neda Firouraghi, Nasser Bagheri, Elham Moghaddas, Alireza Mohammadi

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Behzad KianiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-8816-328X
Amene Raouf RahmatiDepartment of Parasitology and Mycology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0001-5115-0525
Robert BergquistIngerod, Brastad, Lysekil, Sweden.ORCID 0000-0002-0190-1084
Soheil HashtarkhaniDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0001-7750-6294
Neda FirouraghiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-1297-0448
Nasser BagheriCenter for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-1097-2797
Elham MoghaddasDepartment of Parasitology and Mycology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. moghaddase@mums.ac.ir.ORCID 0000-0002-7080-2768
Alireza MohammadiDepartment of Geography and Urban Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran. alirezamohammadi20142014@gmail.com.ORCID 0000-0002-3327-0942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective reduction of tuberculosis (TB) requires information on the distribution of TB incidence rate across time and location. This study aims to identify the spatio-temporal pattern of TB incidence rate in Iran between 2008 and 2018.

methodsThis cross-sectional study was conducted on aggregated TB data (50,500 patients) at the provincial level provided by the Ministry of Health in Iran between 2008 and 2018. The Anselin Local Moran's I and Getis-Ord Gi* were performed to identify the spatial variations of the disease. Furthermore, spatial scan statistic was employed for purely temporal and spatio-temporal analyses. In all instances, the null hypothesis of no clusters was rejected at p ≤ 0.05.

resultsThe overall incidence rate of TB decreased from 13.46 per 100,000 (95% CI: 13.19-13.73) in 2008 to 10.88 per 100,000 (95% CI: 10.65-11.11) in 2018. The highest incidence rate of TB was observed in southeast and northeast of Iran for the whole study period. Additionally, spatial cluster analysis discovered Khuzestan Province, in the West of the country, having significantly higher rates than neighbouring provinces in terms of both total TB and smear-positive pulmonary TB (SPPTB). Purely temporal analysis showed that high-rate and low-rate clusters were predominantly distributed in the time periods 2010-2014 and 2017-2018. Spatio-temporal results showed that the statistically significant clusters were mainly distributed from centre to the east during the study period. Some high-trend TB and SPPTB statistically significant clusters were found.

conclusionThe results provided an overview of the latest TB spatio-temporal status In Iran and identified decreasing trends of TB in the 2008-2018 period. Despite the decreasing incidence rate, there is still need for screening, and targeting of preventive interventions, especially in high-risk areas. Knowledge of the spatio-temporal pattern of TB can be useful for policy development as the information regarding the high-risk areas would contribute to the selection of areas needed to be targeted for the expansion of health facilities.

Indexed as

TuberculosisTuberculosis, PulmonaryChinaCluster AnalysisCross-Sectional StudiesHumansIncidenceIranSpatio-Temporal AnalysisGeographical information systemsIranSaTScanSpatial analysisSpatial scan spatiotemporalTuberculosis

Identifiers

PMID34098917
PMCPMC8186231

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Registered trials

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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.