TY - GEN
T1 - Application of GIS in Public Health Practice
T2 - 12th International Conference on Geographic Information Science, GIScience 2023
AU - Wang, Jia
AU - Osayande, Itohan
AU - Macharia, Peter M.
AU - Makanga, Prestige Tatenda
AU - Wong, Kerry L.M.
AU - Olubodun, Tope
AU - Gwacham-Anisiobi, Uchenna
AU - Ogunyemi, Olakunmi
AU - Olaniran, Abimbola
AU - Abejirinde, Ibukun Oluwa O.
AU - Beňová, Lenka
AU - Afolabi, Bosede B.
AU - Banke-Thomas, Aduragbemi
PY - 2023/9/1
Y1 - 2023/9/1
N2 - Geographic Information System (GIS) has become an effective and reliable tool for researchers, policymakers, and decision-makers to map health outcomes and inform targeted planning, evaluation, and monitoring. With the advent of big data-enabled GIS, researchers can now identify disparities and spatial inequalities in health at more granular levels, enabling them to provide more accurate and robust services and products for healthcare. This paper aims to showcase the progress of the On Tackling In-transit Delays for Mothers in Emergency (OnTIME) project, which is a unique collaborative effort between academia, policymakers, and industrial partners. The paper demonstrates how the limitations of traditional spatial accessibility models and data gaps have been overcome by combining GIS and big data to map the geographic accessibility and coverage of health facilities capable of providing emergency obstetric care (EmOC) in conurbations in Africa. The OnTIME project employs various GIS technologies and concepts, such as big spatial data, spatial databases, and public participation geographic information systems (PPGIS). We provide an overview of these concepts in relation to the OnTIME project to demonstrate the application of GIS in public health practice.
AB - Geographic Information System (GIS) has become an effective and reliable tool for researchers, policymakers, and decision-makers to map health outcomes and inform targeted planning, evaluation, and monitoring. With the advent of big data-enabled GIS, researchers can now identify disparities and spatial inequalities in health at more granular levels, enabling them to provide more accurate and robust services and products for healthcare. This paper aims to showcase the progress of the On Tackling In-transit Delays for Mothers in Emergency (OnTIME) project, which is a unique collaborative effort between academia, policymakers, and industrial partners. The paper demonstrates how the limitations of traditional spatial accessibility models and data gaps have been overcome by combining GIS and big data to map the geographic accessibility and coverage of health facilities capable of providing emergency obstetric care (EmOC) in conurbations in Africa. The OnTIME project employs various GIS technologies and concepts, such as big spatial data, spatial databases, and public participation geographic information systems (PPGIS). We provide an overview of these concepts in relation to the OnTIME project to demonstrate the application of GIS in public health practice.
KW - Accessibility
KW - Big Data
KW - EmOC
KW - GIS
KW - Google
KW - OnTIME
KW - Public Health
KW - Public Participation GIS
U2 - 10.4230/LIPIcs.GIScience.2023.79
DO - 10.4230/LIPIcs.GIScience.2023.79
M3 - Conference contribution
AN - SCOPUS:85172374094
VL - 277
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - 12th International Conference on Geographic Information Science, GIScience 2023
A2 - Beecham, Roger
A2 - Long, Jed A.
A2 - Smith, Dianna
A2 - Zhao, Qunshan
A2 - Wise, Sarah
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Y2 - 12 September 2023 through 15 September 2023
ER -
