Evidence map›Paper›PMID 27057526›Full record

ArticleIranian journal of public health2016

Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS).

Reza Beiranvand, Asrin Karimi, Ali Delpisheh, Kourosh Sayehmiri, Samira Soleimani, Shahnaz Ghalavandi

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Article in Iranian journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Strong Effect of Demographic Changes on Tuberculosis Susceptibility in South Africa.medRxiv : the preprint server for health sciences · 2023
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  7. Article
  8. Geo-epidemiology of animal tuberculosis andFrontiers in microbiology · 2023
    Article
  9. A scoping review on climate change and tuberculosis.International journal of biometeorology · 2021
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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

6 authors.

Reza BeiranvandDept. of Epidemiology, Faculty of Medicine, Dezful University of Medical Sciences, Dezful, Iran.
Asrin KarimiDept. of Epidemiology, Social Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Ali DelpishehDept. of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran.
Kourosh SayehmiriResearch Center for Prevention of Psychosocial Injuries, Ilam University of Medical Sciences, Ilam, Iran.
Samira SoleimaniDept. of Environmental Health, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran.
Shahnaz GhalavandiJundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) spread pattern is influenced by geographic and social factors. Nowadays Geographic Information System (GIS) is one of the most important epidemiological instrumentation identifying high-risk population groups and geographic areas of TB. The aim of this study was to determine the correlation between climate and geographic distribution of TB in Khuzestan Province using GIS during 2005-2012.

methodsThrough an ecological study, all 6363 patients with definite diagnosis of TB from 2005 until the end of September 2012 in Khuzestan Province, southern Iran were diagnosed. Data were recorded using TB- Register software. Tuberculosis incidence based on the climate and the average of annual rain was evaluated using GIS. Data were analyzed through SPSS software. Independent t-test, ANOVA, Linear regression, Pearson and Eta correlation coefficient with a significance level of less than 5% were used for the statistical analysis.

resultsThe TB incidence was different in various geographic conditions. The highest mean of TB cumulative incidence rate was observed in extra dry areas (P= 0.017). There was a significant inverse correlation between annual rain rate and TB incidence rate (R= -0.45, P= 0.001). The lowest TB incidence rate (0-100 cases per 100,000) was in areas with the average of annual rain more than 1000 mm (P= 0.003).

conclusionThe risk of TB has a strong relationship with climate and the average of annual rain, so that the risk of TB in areas with low annual rainfall and extra dry climate is more than other regions. Services and special cares to high-risk regions of TB are recommended.

Indexed as

Annual rainClimatic processesGeographic information systemsTuberculosis

Identifiers

PMID27057526
PMCPMC4822399

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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.