Evidence map›Paper›PMID 39422081›Full record

ArticleInternational health2025

Self-reported prevalence of tuberculosis: unveiling spatial representation in the districts of Tamil Nadu.

Malaisamy Muniyandi, Kavi Mathiyazhagan, Nagarajan Karikalan

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Article in International health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Malaisamy MuniyandiDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, Chennai  600031, India.ORCID 0000-0002-1209-4062
Kavi MathiyazhaganDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, Chennai  600031, India.
Nagarajan KarikalanDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, Chennai  600031, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of the current study was to estimate the self-reported individual-level crude prevalence and cluster-level adjusted prevalence of TB for the districts of Tamil Nadu and to understand the spatial distribution of TB cases through spatial autocorrelation and hotspot analysis.

methodsNational Family Health Survey (NFHS) data, gathered during 2014-2015 (NFHS-4) and 2019-2021 (NFHS-5), were used in the current study to estimate district-wise, individual-level crude and cluster-level adjusted TB prevalence per 100 000 population in Tamil Nadu. This was illustrated with the help of spatial geographic representation for various districts of Tamil Nadu using SPSS and QGIS software. The spatial autocorrelation and hotspot analysis were performed using Geoda software.

resultsThe overall self-reported individual-level crude prevalence of TB was 337 (95% CI 302 to 375) and 169 (95% CI 144 to 197) per 100 000 population, whereas the cluster-level adjusted prevalence of TB was 356 (95% CI 311 to 405) and 184 (95% CI 154 to 219) per 100 000 population in NFHS-4 and NFHS-5, respectively.

conclusionsThis study highlights those geographical areas with high rates of TB prevalence. This information would be useful for the state and district programme managers to identify areas of high TB prevalence where interventions can be focused.

Indexed as

TuberculosisAdolescentAdultAgedChildChild, PreschoolCluster AnalysisFemaleHealth SurveysHumansIndiaMaleMiddle AgedPrevalenceSelf ReportSpatial Analysisepidemiology of TBinfectious diseasesprevalence of TBpulmonary tuberculosisself-reported TBspatial analysis of TBtuberculosis

Identifiers

PMID39422081
PMCPMC12045097

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