Evidence map›Paper›PMID 39085765›Full record

ArticleBMC infectious diseases2024

Spatiotemporal analysis and seasonality of tuberculosis in Pudong New Area of Shanghai, China, 2014-2023.

Shuishui Pan, Lili Chen, Xin Xin, Shihong Li, Yixing Zhang, Yichen Chen, Shaotan Xiao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

7 authors.

Shuishui Pan *Tuberculosis, AIDS and STD Control Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Lili Chen *Tuberculosis, AIDS and STD Control Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Xin XinTuberculosis, AIDS and STD Control Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Shihong LiThird Branch Center, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yixing ZhangTuberculosis, AIDS and STD Control Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yichen ChenGeneral Management Office , Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Shaotan XiaoTuberculosis, AIDS and STD Control Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China. stxiao@pdcdc.sh.cn.

Funding

Medical Discipline Construction Project of the Pudong Health Committee of Shanghai PWYgts2021-04
6 · The paper itself

Abstract

backgroundSpatiotemporal analysis is a vital method that plays an indispensable role in monitoring epidemiological changes in diseases and identifying high-risk clusters. However, there is still a blank space in the spatial and temporal distribution of tuberculosis (TB) incidence rate in Pudong New Area, Shanghai. Consequently, it is crucial to comprehend the spatiotemporal distribution of TB in this district, this will guide the prevention and control of TB in the district.

methodsOur research used Geographic Information System (GIS) visualization, spatial autocorrelation analysis, and space-time scan analysis to analyze the TB incidence reported in the Pudong New Area of Shanghai from 2014 to 2023, and described the spatiotemporal clustering and seasonal hot spot distribution of TB incidence.

resultsFrom 2014 to 2023, the incidence of TB in the Pudong New Area decreased, and the mortality was at a low level. The incidence of TB in different towns/streets has declined. The spatial autocorrelation analysis revealed that the incidence of TB was spatially clustered in 2014, 2016-2018, and 2022, with the highest clusters in 2014 and 2022. The high clustering area was mainly concentrated in the northeast. The space-time scan analysis indicated that the most likely cluster was located in 12 towns/streets, with a period of 2014-2018 and a radiation radius of 15.74 km. The heat map showed that there was a correlation between TB incidence and seasonal variations.

conclusionsFrom 2014 to 2023, the incidence of TB in the Pudong New Area of Shanghai declined, but there were spatiotemporal clusters and seasonal correlations in the incidence area. Local departments should formulate corresponding intervention measures, especially in high-clustering areas, to achieve accurate prevention and control of TB within the most effective time and scope.

Indexed as

SeasonsSpatio-Temporal AnalysisTuberculosisChinaCluster AnalysisGeographic Information SystemsHumansIncidencePudong New AreaSeasonalitySpace-time scan analysisSpatial autocorrelation analysisTuberculosis

Identifiers

PMID39085765
PMCPMC11293123

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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.