Evidence map›Paper›PMID 34202504›Full record

ArticleInternational journal of environmental research and public health2021

Spatiotemporal Patterns of Tuberculosis in Hunan Province, China.

Kefyalew Addis Alene, Zuhui Xu, Liqiong Bai, Hengzhong Yi, Yunhong Tan, Darren J Gray, Kerri Viney, Archie C A Clements

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed, 2 syntheses or guidelines 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.

Kefyalew Addis AleneFaculty of Health Sciences, Curtin University, Perth 6102, Australia.ORCID 0000-0002-1904-4682
Zuhui XuDepartment of Tuberculosis Control, Tuberculosis Control Institute of Hunan Province, Changsha 410000, China.ORCID 0000-0003-0757-2768
Liqiong BaiDepartment of Director's Office, Hunan Chest Hospital, Changsha 410013, China.
Hengzhong YiDepartment of MDR-TB, Internal Medicine, Hunan Chest Hospital, Changsha 410013, China.
Yunhong TanDepartment of MDR-TB, Internal Medicine, Hunan Chest Hospital, Changsha 410013, China.
Darren J GrayResearch School of Population Health, the Australian National University, Canberra 2601, Australia.
Kerri VineyResearch School of Population Health, the Australian National University, Canberra 2601, Australia.
Archie C A ClementsFaculty of Health Sciences, Curtin University, Perth 6102, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is the leading cause of death from a bacterial pathogen worldwide. China has the third highest TB burden in the world, with a high reported burden in Hunan Province (amongst others). This study aimed to investigate the spatial distribution of TB and identify socioeconomic, demographic, and environmental drivers in Hunan Province, China. Numbers of reported cases of TB were obtained from the Tuberculosis Control Institute of Hunan Province, China. A wide range of covariates were collected from different sources, including from the Worldclim database, and the Hunan Bureau of Statistics. These variables were summarized at the county level and linked with TB notification data. Spatial clustering of TB was explored using Moran's I statistic and the Getis-Ord statistic. Poisson regression models were developed with a conditional autoregressive (CAR) prior structure, and with posterior parameters estimated using a Bayesian approach with Markov chain Monte Carlo (MCMC) simulation. A total of 323,340 TB cases were reported to the Hunan TB Control Institute from 2013 to 2018. The mean age of patients was 51.7 years (SD + 17.6 years). The majority of the patients were male (72.6%,

Indexed as

TuberculosisTuberculosis, PulmonaryAdultAgedBayes TheoremChinaFemaleHumansIncidenceMaleMiddle AgedSeasonsSpatio-Temporal AnalysisChinaspatial analysisspatiotemporaltuberculosis

Identifiers

PMID34202504
PMCPMC8297355

What OpenQuestion holds

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LicenceCC BY
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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.