Evidence map›Paper›PMID 24787145›Full record

ArticleEpidemiology and infection2014

Validation of three geolocation strategies for health-facility attendees for research and public health surveillance in a rural setting in western Kenya.

G H Stresman, J C Stevenson, C Owaga, E Marube, C Anyango, C Drakeley, T Bousema, J Cox

Abstract read
In one paragraph

Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

8 authors.

G H StresmanDepartment of Immunology & Infection, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine,London,UK.
J C StevensonDepartment of Disease Control, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine, London,UK.
C OwagaKenya Medical Research Institute,Centre for Global Health Research, Kisumu,Kenya.
E MarubeKenya Medical Research Institute,Centre for Global Health Research, Kisumu,Kenya.
C AnyangoKenya Medical Research Institute,Centre for Global Health Research, Kisumu,Kenya.
C DrakeleyDepartment of Immunology & Infection, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine,London,UK.
T BousemaDepartment of Immunology & Infection, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine,London,UK.
J CoxDepartment of Disease Control, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine, London,UK.

Funding

Wellcome TrustWellcome Trust 091924
6 · The paper itself

Abstract

Understanding the spatial distribution of disease is critical for effective disease control. Where formal address networks do not exist, tracking spatial patterns of clinical disease is difficult. Geolocation strategies were tested at rural health facilities in western Kenya. Methods included geocoding residence by head of compound, participatory mapping and recording the self-reported nearest landmark. Geocoding was able to locate 72·9% [95% confidence interval (CI) 67·7-77·6] of individuals to within 250 m of the true compound location. The participatory mapping exercise was able to correctly locate 82·0% of compounds (95% CI 78·9-84·8) to a 2 × 2·5 km area with a 500 m buffer. The self-reported nearest landmark was able to locate 78·1% (95% CI 73·8-82·1) of compounds to the correct catchment area. These strategies tested provide options for quickly obtaining spatial information on individuals presenting at health facilities.

Indexed as

DemographyGeographic Information SystemsHealth Services AccessibilityHealth Services ResearchHumansKenyaPublic Health AdministrationResidence CharacteristicsRural Health ServicesRural Population

Identifiers

PMID24787145
PMCPMC4102101

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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.