Evaluation of data accuracies within a comprehensive geospatial-health data surveillance platform

SOMAARTH Demographic Development and Environmental Surveillance Site, Palwal, Haryana, India

Natasha J Howard, Shikha Dixit, Hasan Raja Naqvi, Atiqur Rahman, Catherine Paquet, Mark Daniel, Narendra K Arora

Research output: Contribution to journalArticle

Abstract

Evidence exists of an increasing prevalence of chronic conditions within developed and developing nations, notably for priority population groups. The need for the collection of geospatial data to monitor the health impact of rapid social-environmental and economic changes occurring in these countries is being increasingly recognized. Rigorous accuracy assessment of such geospatial data is required to enable error estimation, and ultimately, data utility for exploring population health. This research outlines findings from a field-based evaluation exercise of the SOMAARTH DDESS geospatial-health platform. Participatory-based mixed methods have been employed within Palwal-India to capture villager perspectives on built infrastructure across 51 villages. This study, conducted in 2013, included an assessment of data element position and attribute accuracy undertaken in six villages, documenting mapping errors and land parcel changes. Descriptive analyses of 5.1% (n = 455) of land parcels highlighted some discrepancies in position (6.4%) and attribute (4.2%) accuracy, and land parcel changes (17.4%). Furthermore, the evaluation led to a refinement of the existing geospatial health platform incorporating ground-truthed reflections from the participatory field exercise. The evaluation of geospatial data accuracies contributes to understandings on global public health surveillance systems, outlining the need to systematically consider assessment of environmental features in relation to lifestyle-related diseases.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalGlobal health, epidemiology and genomics
Volume3
DOIs
Publication statusPublished - 2018

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Environmental Monitoring
India
Demography
Health
Public Health Surveillance
Exercise
Population Groups
Developed Countries
Developing Countries
Life Style
Economics
Data Accuracy
Research
Population

Cite this

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title = "Evaluation of data accuracies within a comprehensive geospatial-health data surveillance platform: SOMAARTH Demographic Development and Environmental Surveillance Site, Palwal, Haryana, India",
abstract = "Evidence exists of an increasing prevalence of chronic conditions within developed and developing nations, notably for priority population groups. The need for the collection of geospatial data to monitor the health impact of rapid social-environmental and economic changes occurring in these countries is being increasingly recognized. Rigorous accuracy assessment of such geospatial data is required to enable error estimation, and ultimately, data utility for exploring population health. This research outlines findings from a field-based evaluation exercise of the SOMAARTH DDESS geospatial-health platform. Participatory-based mixed methods have been employed within Palwal-India to capture villager perspectives on built infrastructure across 51 villages. This study, conducted in 2013, included an assessment of data element position and attribute accuracy undertaken in six villages, documenting mapping errors and land parcel changes. Descriptive analyses of 5.1{\%} (n = 455) of land parcels highlighted some discrepancies in position (6.4{\%}) and attribute (4.2{\%}) accuracy, and land parcel changes (17.4{\%}). Furthermore, the evaluation led to a refinement of the existing geospatial health platform incorporating ground-truthed reflections from the participatory field exercise. The evaluation of geospatial data accuracies contributes to understandings on global public health surveillance systems, outlining the need to systematically consider assessment of environmental features in relation to lifestyle-related diseases.",
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Evaluation of data accuracies within a comprehensive geospatial-health data surveillance platform : SOMAARTH Demographic Development and Environmental Surveillance Site, Palwal, Haryana, India. / Howard, Natasha J; Dixit, Shikha; Naqvi, Hasan Raja; Rahman, Atiqur; Paquet, Catherine; Daniel, Mark; Arora, Narendra K.

In: Global health, epidemiology and genomics, Vol. 3, 2018, p. 1-10.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Evaluation of data accuracies within a comprehensive geospatial-health data surveillance platform

T2 - SOMAARTH Demographic Development and Environmental Surveillance Site, Palwal, Haryana, India

AU - Howard, Natasha J

AU - Dixit, Shikha

AU - Naqvi, Hasan Raja

AU - Rahman, Atiqur

AU - Paquet, Catherine

AU - Daniel, Mark

AU - Arora, Narendra K

PY - 2018

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N2 - Evidence exists of an increasing prevalence of chronic conditions within developed and developing nations, notably for priority population groups. The need for the collection of geospatial data to monitor the health impact of rapid social-environmental and economic changes occurring in these countries is being increasingly recognized. Rigorous accuracy assessment of such geospatial data is required to enable error estimation, and ultimately, data utility for exploring population health. This research outlines findings from a field-based evaluation exercise of the SOMAARTH DDESS geospatial-health platform. Participatory-based mixed methods have been employed within Palwal-India to capture villager perspectives on built infrastructure across 51 villages. This study, conducted in 2013, included an assessment of data element position and attribute accuracy undertaken in six villages, documenting mapping errors and land parcel changes. Descriptive analyses of 5.1% (n = 455) of land parcels highlighted some discrepancies in position (6.4%) and attribute (4.2%) accuracy, and land parcel changes (17.4%). Furthermore, the evaluation led to a refinement of the existing geospatial health platform incorporating ground-truthed reflections from the participatory field exercise. The evaluation of geospatial data accuracies contributes to understandings on global public health surveillance systems, outlining the need to systematically consider assessment of environmental features in relation to lifestyle-related diseases.

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KW - global health

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