Evidence map›Paper›PMID 35733132›Full record

ArticleBMC infectious diseases2022

Spatio-temporal distribution of tuberculosis and the effects of environmental factors in China.

Hao Li, Miao Ge, Mingxin Zhang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
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  8. Clinical Features and Survival in Fibrosing Mediastinitis: A Multicenter Cohort Study.Respiration; international review of thoracic diseases · 2026
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  14. Tuberculosis infection control in MDR-TB designated hospitals in Jiangsu Province, China.Journal of clinical tuberculosis and other mycobacterial diseases · 2025
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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

3 authors.

Hao LiInstitute of Healthy Geography, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China.
Miao GeInstitute of Healthy Geography, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China. gemiao544261@163.com.
Mingxin ZhangCollege of Resources and Environmental Science, Ningxia University, Yinchuan, 750021, China.

Funding

National Nature Science Foundation 40971060Nature Science Foundation of Ningxia 2020AAC03114
6 · The paper itself

Abstract

backgroundAlthough the World Health Organization reports that the incidence of tuberculosis in China is decreasing every year, the burden of tuberculosis in China is still very heavy. Understanding the spatial and temporal distribution pattern of tuberculosis in China and its influencing environmental factors will provide effective reference for the prevention and treatment of tuberculosis.

methodsData of TB incidence from 2010 to 2017 were collected. Time series and global spatial autocorrelation were used to analyze the temporal and spatial distribution pattern of tuberculosis incidence in China, Geodetector and Geographically Weighted Regression model were used to analyze the environmental factors affecting the TB incidence.

resultsIn addition to 2007 and 2008, the TB incidence decreased in general. TB has a strong spatial aggregation. Cities in Northwest China have been showing a trend of high-value aggregation. In recent years, the center of gravity of high-value aggregation area in South China has moved further south. Temperature, humidity, precipitation, PM

conclusionsResidents should pay more attention to the risk of developing TB caused by climate change and air pollutant exposure. Increased efforts should be placed on areas with high-value clustering in future public resource configurations.

Indexed as

TuberculosisChinaCitiesHumansIncidenceSpatial AnalysisSpatio-Temporal AnalysisEnvironmental factorsGeodetectorGWRSpatio-temporal distributionTuberculosis

Identifiers

PMID35733132
PMCPMC9215012

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.