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
Y1 - 2018
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.
AB - 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.
KW - geographic information system
KW - global health
KW - other
KW - position and attribute accuracy
KW - spatial data accuracy
KW - surveillance and monitoring
UR - http://www.scopus.com/inward/record.url?scp=85066864406&partnerID=8YFLogxK
U2 - 10.1017/gheg.2018.17
DO - 10.1017/gheg.2018.17
M3 - Article
C2 - 30637109
SN - 2054-4200
VL - 3
SP - 1
EP - 10
JO - Global health, epidemiology and genomics
JF - Global health, epidemiology and genomics
ER -