Evidence map›Paper›PMID 26680425›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2015

Applications of geographic information systems in public health: A geospatial approach to analyzing MMR immunization uptake in Alberta.

Kristin M Eccles, Stefania Bertazzon

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2015. 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
–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

7 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

2 authors.

Kristin M EcclesDepartment of Biology, University of Ottawa. kristin.eccles@uottawa.ca.
Stefania Bertazzon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study evaluates the temporal, spatial, and spatio-temporal variation of immunization rates for measles, mumps and rubella (MMR) immunization in the province of Alberta. The study uses yearly immunization rate data for Health Zones and Local Geographic Areas (2004-2012), which were obtained from Alberta Health's Interactive Health Data Application (IHDA).

methodsSpatial analyses include a global spatial analysis, Moran's I, and local indicators of spatial association (LISA) analysis - Getis and Ord's G* - to identify clusters of high or low immunization rates. Spatial methods are then applied to a time series analysis to examine how the immunization rates change over time in conjunction with space.

resultsMapped results indicate decreasing immunization rates over time for the majority of the province where most local geographic areas (LGAs) fall short of the 95% herd immunity threshold. Clusters of high immunization rates in the metropolitan centres, and clusters of low immunization rates in the southern and northern region of the province exist spatially and spatio-temporally. Over time, the high rate clusters are decreasing in size and the low rate clusters are increasing.

conclusionThis research provides a localized geographic approach to assessing MMR immunization rates in Alberta. Findings from this research can be used to target public health interventions to specific areas that exhibit the lowest immunization rates. These results can also be used for hypothesis generation in future research on barriers to immunization uptake.

Indexed as

Geographic Information SystemsAlbertaHumansImmunizationMeaslesMeasles-Mumps-Rubella VaccineMumpsPublic HealthRubellaSpatial AnalysisMeasles-Mumps-Rubella VaccineGISImmunizationsMMRpublic healthspatial analysis

Identifiers

PMID26680425
PMCPMC6972108

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.