Evidence map›Paper›PMID 40275405›Full record

Observational studyInfectious diseases of poverty2025

Association of urbanization-related factors with tuberculosis incidence among 1992 counties in China from 2005 to 2019: a nationwide observational study.

Yaping Wang, Xiaoqiu Liu, Yuhong Li, Min Liu, Yiheng Wang, Hongliang Zhang, Jue Liu, Yanlin Zhao

Abstract readObservational Study
In one paragraph

Observational study in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Yaping Wang *Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China.
Xiaoqiu Liu *National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, No.155 Changbai Road, Changping District, Beijing, 102211, China.
Yuhong Li *National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, No.155 Changbai Road, Changping District, Beijing, 102211, China.
Min LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China.
Yiheng WangDepartment of Environmental Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China.
Hongliang ZhangDepartment of Environmental Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China. zhanghl@fudan.edu.cn.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China. jueliu@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-1938-9365
Yanlin ZhaoNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, No.155 Changbai Road, Changping District, Beijing, 102211, China. zhaoyl@chinacdc.cn.

Funding

National Natural Science Foundation of China 72122001
6 · The paper itself

Abstract

backgroundMost high tuberculosis (TB) burden countries are in low- and middle-income regions undergoing rapid urbanization. We aimed to assess the association between urbanization factors and TB incidence in China.

methodsWe evaluated urbanization at the county level in China from 2005 to 2019 using a composite index integrating population density, gross domestic product (GDP, per capita), hospital beds per 1000 population, nighttime light (NTL), and normalized difference vegetation index (NDVI). The annual incidence rate and number of TB cases were obtained from the national Tuberculosis Information Management System, maintained by the Chinese Center for Disease Control and Prevention. Fixed-effects models were used to examine the association between urbanization factors and TB incidence. A subgroup analysis was performed by dividing counties into four regions: northeast, eastern, central, and western.

resultsA total of 1992 counties in China were included in this study. Overall, urbanization scores were associated with reduced TB incidence (β = - 0.0114, P < 0.001), corresponding to a 1.1% reduction in TB incidence per unit score. Quadratic models presented a U-shaped relationship between urbanization and TB incidence with an inflection point at 52.94 urbanization units. For each indicator of urbanization, population density and the number of hospital beds were positively associated with TB incidence, with incidence rate ratios of 11.384 [95% confidence interval (CI): 9.337 to 13.881], and 1.015 (95% CI: 1.011 to 1.019), respectively, while GDP, NTL, and NDVI exhibited protective effects. Central China displayed an increase trend that urbanization score was linked to a 1.8% rise in TB incidence.

conclusionsUrbanization-related factors, including GDP, NTL and NDVI, were inversely associated with TB incidence. Central China's contrasting results highlighted region-specific challenges. Therefore, governments in developing countries should adopt integrated approaches that promote both economic growth and sustainable development of environment during urbanization to optimize TB control efforts.

Indexed as

TuberculosisUrbanizationChinaHumansIncidencePopulation DensityChinaCountyTuberculosisUrbanization

Identifiers

PMID40275405
PMCPMC12023368

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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.