Evidence map›Paper›PMID 39556716›Full record

ArticleJMIR public health and surveillance2024

Analysis of Tuberculosis Epidemiological Distribution Characteristics in Fujian Province, China, 2005-2021: Spatial-Temporal Analysis Study.

Shanshan Yu, Meirong Zhan, Kangguo Li, Qiuping Chen, Qiao Liu, Laurent Gavotte, Roger Frutos, Tianmu Chen

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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.

Shanshan Yu *State Key Laboratory of Vaccines for Infectious Diseases, Xiangan Biomedicine Laboratory, School of Public Health, Xiamen University, No 4221-117, Xiang'an South Road, Xiang'an District, Xiamen City, 361101, China, 86 13661934715.ORCID 0000-0002-5554-3796
Meirong Zhan *Emergency Response and Outbreak Management Section, Fujian Provincial Center for Disease Control and Prevention, Fuzhou City, China.ORCID 0009-0008-3654-1075
Kangguo Li *State Key Laboratory of Vaccines for Infectious Diseases, Xiangan Biomedicine Laboratory, School of Public Health, Xiamen University, No 4221-117, Xiang'an South Road, Xiang'an District, Xiamen City, 361101, China, 86 13661934715.ORCID 0000-0002-5583-0648
Qiuping Chen *State Key Laboratory of Vaccines for Infectious Diseases, Xiangan Biomedicine Laboratory, School of Public Health, Xiamen University, No 4221-117, Xiang'an South Road, Xiang'an District, Xiamen City, 361101, China, 86 13661934715.ORCID 0009-0008-2492-436X
Qiao LiuState Key Laboratory of Vaccines for Infectious Diseases, Xiangan Biomedicine Laboratory, School of Public Health, Xiamen University, No 4221-117, Xiang'an South Road, Xiang'an District, Xiamen City, 361101, China, 86 13661934715.ORCID 0009-0005-5863-4959
Laurent GavotteEspace-Dev, Université de Montpellier, Montpellier, France.ORCID 0000-0002-6730-0767
Roger Frutos *Centre de Coopération Internationale en Recherche Agronomique (CIRAD), UMR 17 Intertryp, Montpellier, France.ORCID 0000-0002-8926-3119
Tianmu Chen *State Key Laboratory of Vaccines for Infectious Diseases, Xiangan Biomedicine Laboratory, School of Public Health, Xiamen University, No 4221-117, Xiang'an South Road, Xiang'an District, Xiamen City, 361101, China, 86 13661934715.ORCID 0000-0003-0710-5086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis (TB) is a chronic infectious disease that harms human health for a long time. TB epidemiological distribution analysis can help governments to control TB in high TB incidence areas. The distribution trend of TB cases varies in different regions. The unbalanced temporal and spatial trends of pulmonary TB (PTB) risk at a fine level in Fujian Province remain unclear. Objective: The purpose was to analyze different distribution characteristics, explore the prevalence of TB in this region, and provide a scientific basis for further guidance of TB control work in Fujian Province, China. Methods: Prefectural-level and county-level notified PTB case data were collected in Fujian Province. A joinpoint regression model was constructed to analyze the unbalanced temporal patterns of PTB notification rates from 2005 to 2021 at prefecture-level city scales. The spatial clustering analysis and spatial autocorrelation analysis were performed to assess the inequality of the locations of PTB cases. Demographical characteristics were explored by the method of descriptive analysis. Results: TB cases reported in Fujian showed an overall downward trend from 2005 to 2021 (in 2005: n=32,728 and in 2021: n=15,155). TB case numbers showed obvious seasonal changes. The majority of TB cases were middle-aged and older adult male patients (45 years and older; n=150,201, 42.6%). Most of the TB cases were farmers (n=166,186, 47.1%), followed by houseworkers and the unemployed (n=48,828, 13.8%) and workers (n=34,482, 9.8%). Etiologically positive TB cases continue to be the main source of TB cases (n=159,702, 45.3%). Spatially, the reported TB cases were mainly distributed in cities in southeastern Fujian, especially at the county level. TB case numbers showed 2 spatial groups; cases within each group shared similar case characteristics. In terms of geographical distribution, TB showed obvious spatial correlation, and local areas showed high aggregation. Conclusions: The TB incidence trend decreased annually in Fujian Province. TB cases distributed commonly in the male population, middle-aged and older people, and farmers. Etiologically positive cases are still the main source of Mycobacterium tuberculosis infection. TB incidence is higher in the cities with a developed economy and large population in the southeast. TB control should be strengthened in these populations and areas, such as via early screening of cases and management of confirmed cases.

Indexed as

Spatio-Temporal AnalysisTuberculosisAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedPrevalencedetectionepidemic statusepidemiologyFujian Provincepulmonary tuberculosisspatial-temporal analysissurveillanceTBtemporal-spatial patterntuberculosis

Identifiers

PMID39556716
PMCPMC11590169

What OpenQuestion holds

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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.