Evidence map›Paper›PMID 38816699›Full record

ArticleBMC public health2024

Impact of COVID-19 pandemic responses on tuberculosis incidence: insights from Shantou, China.

Yaqian Su, Qiaocheng Chang, Ruiming Chen, Zhuanghao Chen, Jianxiong Lin, Hui Fu, Zicheng Cao, Liping Li, Suyang Liu

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

9 authors.

Yaqian Su *School of Public Health, Shantou University, 234 Daxue Road, Shantou, 515063, China.
Qiaocheng Chang *School of Public Health, Shantou University, 234 Daxue Road, Shantou, 515063, China.
Ruiming ChenShantou Tuberculosis Prevention and Control Institute, Shantou, China.
Zhuanghao ChenShantou Tuberculosis Prevention and Control Institute, Shantou, China.
Jianxiong LinShantou Tuberculosis Prevention and Control Institute, Shantou, China.
Hui FuShantou Tuberculosis Prevention and Control Institute, Shantou, China.
Zicheng CaoSchool of Public Health, Shantou University, 234 Daxue Road, Shantou, 515063, China.
Liping LiSchool of Public Health, Shantou University, 234 Daxue Road, Shantou, 515063, China.
Suyang LiuSchool of Public Health, Shantou University, 234 Daxue Road, Shantou, 515063, China. dayangwater@hotmail.com.

Funding

Shantou Medical and Health Science and Technology Plan Project No. 201815519Shantou University Scientific Research Foundation for Talents NTF23005
6 · The paper itself

Abstract

backgroundVarious measures taken against the COVID-19 pandemic are not only effective in reducing the spread of the disease, but also lead to some unexpected results. This article regarded these measures as an intervention and explored their impact on the incidence of tuberculosis in Shantou, China.

methodsThe incidence rate and the surveillance data of tuberculosis from January 1st, 2018 to December 31st, 2021 were provided by the Shantou Tuberculosis Prevention and Control Institute. Data were divided into pre-pandemic period (January 1st, 2018 - December 31st, 2019) and pandemic periods (January 1st, 2020 - December 31st, 2021). The Interrupted Time Series (ITS) was used to analyze the trend of tuberculosis incidence prior to and during the COVID-19 epidemic.

resultsThe results showed that the incidence of tuberculosis cases in Shantou decreased significantly (p < 0.05) during the pandemic as compared to that prior to the pandemic. Among them, the 45-64 age group and the 65 + age group have statistically significant declines. When patients were stratified by occupation, the unemployed and those working in agriculture reduced the most.

conclusionsIn response to the pandemic, measures like lockdowns and quarantines seem to have reduced tuberculosis incidence. However, this does not imply a true decrease. Underlying causes for the reduced true incidence need further scrutiny. Findings offer a preliminary exploration of interventions designed for one disease but functioning as unexpected results for another.

Indexed as

COVID-19TuberculosisAdolescentAdultAgedChinaCommunicable Disease ControlFemaleHumansIncidenceInterrupted Time Series AnalysisMaleMiddle AgedPandemicsQuarantineSARS-CoV-2COVID-19Interrupted time seriesInterventionLockdownPandemicQuarantineTuberculosis

Identifiers

PMID38816699
PMCPMC11140913

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.