Evidence map›Paper›PMID 28480272›Full record

ArticleOpen forum infectious diseases2017

Use of Activity Space in a Tuberculosis Outbreak: Bringing Homeless Persons Into Spatial Analyses.

Mary Claire Worrell, Michael Kramer, Aliya Yamin, Susan M Ray, Neela D Goswami

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
–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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  6. Review
  7. Social Contact Patterns Associated With Tuberculosis: A Case-control Study in Southwest Iran.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022
    Article
  8. Article
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  10. Extensively drug-resistant tuberculosis 'hotspots' and sociodemographic associations in Durban, South Africa.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2019
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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

5 authors.

Mary Claire WorrellDepartment of Epidemiology, Rollins School of Public Health and.
Michael KramerDepartment of Epidemiology, Rollins School of Public Health and.
Aliya YaminFulton County Health Department Tuberculosis Clinic, Atlanta, Georgia.
Susan M RayDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia.
Neela D GoswamiDepartment of Epidemiology, Rollins School of Public Health and.

Funding

A Geospatial Approach to Target HIV-Infected Populations Poorly Engaged in CareK23AI116388 · NIAID · EMORY UNIVERSITY · PI GOSWAMI, NEELA DASGUPTA · 2014 to 2016
$377k
NIAID NIH HHS K23 AI116388
6 · The paper itself

Abstract

backgroundTuberculosis (TB) causes significant morbidity and mortality in US cities, particularly in poor, transient populations. During a TB outbreak in Fulton County, Atlanta, GA, we aimed to determine whether local maps created from multiple locations of personal activity per case would differ significantly from traditional maps created from single residential address.

methodsData were abstracted for patients with TB disease diagnosed in 2008-2014 and receiving care at the Fulton County Health Department. Clinical and activity location data were abstracted from charts. Kernel density methods, activity space analysis, and overlay with homeless shelter locations were used to characterize case spatial distribution when using single versus multiple addresses.

resultsData were collected for 198 TB cases, with over 30% homeless US-born cases included. Greater spatial dispersion of cases was found when utilizing multiple versus single addresses per case. Activity spaces of homeless and isoniazid (INH)-resistant cases were more spatially congruent with one another than non-homeless and INH-susceptible cases (

conclusionsInnovative spatial methods allowed us to more comprehensively capture the geography of TB-infected homeless persons, who made up a large portion of the Fulton County outbreak. We demonstrate how activity space analysis, prominent in exposure science and chronic disease, supports that routine capture of multiple location TB data may facilitate spatially different public health interventions than traditional surveillance maps.

Indexed as

geospatialmycobacterialpolygamy.

Identifiers

PMID28480272
PMCPMC5414060

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.