Eric M Delmelle1, Michael R Desjardins2, Paul Jung3, Claudio Owusu4, Yu Lan3, Alexander Hohl5, Coline Dony6. 1. Department of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland; Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC. Electronic address: eric.delmelle@uncc.edu. 2. Spatial Science for Public Health Center, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. 3. Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC. 4. Centers for Disease Control and Prevention (CDC), Atlanta, GA. 5. Geography Department, University of Utah, Salt Lake City, UT. 6. The American Association of Geographers, Washington, DC.
Abstract
PURPOSE: Uncertainty is not always well captured, understood, or modeled properly, and can bias the robustness of complex relationships, such as the association between the environment and public health through exposure, estimates of geographic accessibility and cluster detection, to name a few. METHODS: We review current challenges and future opportunities as geospatial data and analyses are applied to the field of public health. We are particularly interested in the sources of uncertainty in geospatial data and how this uncertainty may propagate in spatial analysis. RESULTS: We present opportunities to reduce the magnitude and impact of uncertainty. Specifically, we focus on (1) the use of multiple reference data sources to reduce geocoding errors, (2) the validity of online geocoders and how confidentiality (e.g., HIPAA) may be breached, (3) use of multiple reference data sources to reduce geocoding errors, (4) the impact of geoimputation techniques on travel estimates, (5) residential mobility and how it affects accessibility metrics and clustering, and (6) modeling errors in the American Community Survey. Our paper discusses how to communicate spatial and spatiotemporal uncertainty, and high-performance computing to conduct large amounts of simulations to ultimately increase statistical robustness for studies in public health. CONCLUSIONS: Our paper contributes to recent efforts to fill in knowledge gaps at the intersection of spatial uncertainty and public health.
PURPOSE: Uncertainty is not always well captured, understood, or modeled properly, and can bias the robustness of complex relationships, such as the association between the environment and public health through exposure, estimates of geographic accessibility and cluster detection, to name a few. METHODS: We review current challenges and future opportunities as geospatial data and analyses are applied to the field of public health. We are particularly interested in the sources of uncertainty in geospatial data and how this uncertainty may propagate in spatial analysis. RESULTS: We present opportunities to reduce the magnitude and impact of uncertainty. Specifically, we focus on (1) the use of multiple reference data sources to reduce geocoding errors, (2) the validity of online geocoders and how confidentiality (e.g., HIPAA) may be breached, (3) use of multiple reference data sources to reduce geocoding errors, (4) the impact of geoimputation techniques on travel estimates, (5) residential mobility and how it affects accessibility metrics and clustering, and (6) modeling errors in the American Community Survey. Our paper discusses how to communicate spatial and spatiotemporal uncertainty, and high-performance computing to conduct large amounts of simulations to ultimately increase statistical robustness for studies in public health. CONCLUSIONS: Our paper contributes to recent efforts to fill in knowledge gaps at the intersection of spatial uncertainty and public health.
Authors: Li Yi; Yan Xu; Sandrah P Eckel; Sydney O'Connor; Jane Cabison; Marisela Rosales; Daniel Chu; Thomas A Chavez; Mark Johnson; Tyler B Mason; Theresa M Bastain; Carrie V Breton; Genevieve F Dunton; John P Wilson; Rima Habre Journal: Spat Spatiotemporal Epidemiol Date: 2022-03-24
Authors: Ricardo Vicente Ferreira; Marcos Roberto Martines; Rogério Hartung Toppa; Luiza Maria de Assunção; Michael Richard Desjardins; Eric Delmelle Journal: Rev Soc Bras Med Trop Date: 2022-08-05 Impact factor: 2.141