Evidence map›Paper›PMID 17676502›Full record

ArticleScandinavian journal of public health. Supplement2007

Using health and demographic surveillance to understand the burden of disease in populations: the case of tuberculosis in rural South Africa.

Paul M Pronyk, Kathleen Kahn, Stephen M Tollman

Open access · bronzeAbstract read
In one paragraph

Article in Scandinavian journal of public health. Supplement, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Paul M PronykRural AIDS & Development Action Research Programme, School of Public Health, University of Witwatersrand, South Africa. pronyk@soft.coj.za
Kathleen Kahn
Stephen M Tollman
University of the Witwatersrand · ZAAgincourt Health and Socio-Demographic Surveillance System · ZA

Funding

Wellcome Trust 058893/Z/99/AWellcome Trust 069683
6 · The paper itself

Abstract

aimsTo utilize the Agincourt health and demographic surveillance system (HDSS) platform to assess the burden of pulmonary tuberculosis (PTB) in a rural South African sub-district.

methodsDuring 1999, data from three sources were combined to estimate disease prevalence amongst a non-migrant adult population: (1) passive case-finding (PCF) through hospital register data; (2) active case finding (ACF) using a systematic household assessment of chronic coughers; and (3) verbal autopsy (VA) data on cause of death.

resultsOf 66,840 residents, 38,251 permanent adult residents were included in the analysis. A total of 102 cases of PTB were detected through PCF. ACF sweep detected 366 chronic coughers with 6 cases of confirmed PTB. Among 28 PTB deaths detected by VA, 13 (46%) were not previously identified by the health service. The total PTB prevalence was 157/100,000; 110/100,000 of prevalent cases were detected by PCF. Among undetected cases, 24/100,000 were identified through ACF, while 23/100,000 were detected by the VA process.

conclusionsAmongst prevalent PTB cases in the permanent adult population, 70% were detected by the health service; 15% of cases were undiagnosed in the community, while an equal proportion died of PTB prior to diagnosis. The latter groups contributed disproportionately to infectiousness in the community through prolonged duration of symptoms. As most of these cases presented to the health service on a number of occasions, strengthening early case detection should remain the cornerstone of TB control efforts. Strategies to strengthen the application of health & demographic surveillance systems to disease surveillance are discussed.

Indexed as

Cost of IllnessAdultAIDS-Related Opportunistic InfectionsAutopsyDemographyDisease OutbreaksHumansPopulation SurveillancePrevalenceRural HealthRural PopulationSouth AfricaTuberculosis, Pulmonary

Identifiers

PMID17676502
PMCPMC2830099
OpenAlexW2119283765

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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.