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Comparison of methods to estimate water access: a pilot study of a GPS-based approach in low resource settings

Overview of attention for article published in International Journal of Health Geographics, September 2016
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Title
Comparison of methods to estimate water access: a pilot study of a GPS-based approach in low resource settings
Published in
International Journal of Health Geographics, September 2016
DOI 10.1186/s12942-016-0062-8
Pubmed ID
Authors

Amber L. Pearson

Abstract

Most water access studies involve self-reported measures such as time spent or simple spatial measures such as Euclidean distance from home to source. GPS-based measures of access are often considered actual access and have shown little correlation with self-reported measures. One main obstacle to widespread use of GPS-based measurement of access to water has been technological limitations (e.g., battery life). As such, GPS-based measures have been limited by time and in sample size. The aim of this pilot study was to develop and test a novel GPS unit, (≤4-week battery life, waterproof) to measure access to water. The GPS-based method was pilot-tested to estimate number of trips per day, time spent and distance traveled to source for all water collected over a 3-day period in five households in south-western Uganda. This method was then compared to self-reported measures and commonly used spatial measures of access for the same households. Time spent collecting water was significantly overestimated using a self-reported measure, compared to GPS-based (p < 0.05). In contrast, both the GIS Euclidean distances to nearest and actual primary source significantly underestimated distances traveled, compared to the GPS-based measurement of actual travel paths to water source (p < 0.05). Households did not consistently collect water from the source nearest their home. Comparisons between the GPS-based measure and self-reported meters traveled were not made, as respondents did not feel that they could accurately estimate distance. However, there was complete agreement between self-reported primary source and GPS-based. Reliance on cross-sectional self-reported or simple GIS measures leads to misclassification in water access measurement. This new method offers reductions in such errors and may aid in understanding dynamic measures of access to water for health studies.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Researcher 5 11%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Student > Ph. D. Student 3 7%
Other 7 16%
Unknown 11 25%
Readers by discipline Count As %
Social Sciences 7 16%
Environmental Science 6 14%
Nursing and Health Professions 6 14%
Medicine and Dentistry 3 7%
Engineering 2 5%
Other 5 11%
Unknown 15 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2016.
All research outputs
#14,960,611
of 24,217,496 outputs
Outputs from International Journal of Health Geographics
#400
of 640 outputs
Outputs of similar age
#182,802
of 325,363 outputs
Outputs of similar age from International Journal of Health Geographics
#7
of 11 outputs
Altmetric has tracked 24,217,496 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 640 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.