Overview » Publications

Publications










Books


    

  • Geospatial Technologies for Urban Health (with Yongmei Lu, 2020, Springer)
    • 

  • Spatial Analysis in Health Geography (with Kanaroglou and Paez, 2015, Ashgate)
    • 



Spatial Analysis in Health Geography   


Refereed Articles


 


 



67. Mikko Pyykönen, Miika Linna, Markku Tykkyläinen, Eric Delmelle and Tiina Laatikainen (2021). Patient-specific and healthcare real-world costs of atrial fibrillation in individuals treated with direct oral anticoagulant agents or warfarin,  BMC Health Services Research.
 




66. Eric Delmelle, Michael R. Desjardins, Paul Jung, Claudio Owusu, Yu Lan, Alexander Hohl, Coline Dony (2021). Uncertainty in Geospatial Health: Challenges and Opportunities Ahead,   Annals of Epidemiology.
 


 


65. Ossi Kotavaara, Aleksi Nivala, Tiina Lankila, Tiina Huotari, Eric Delmelle and Harri Antikainen (2021). Geographical accessibility to primary health care in Finland – Grid-based multimodal assessment,  Applied Geography.
 



64. Jan Ebert, Kramer Michael, Eric Delmelle and Russ Kirby (2021). What is the place for space in epidemiology?  Annals of Epidemiology.
 



63. Marcos R Martines, Ricardo Vicente Ferreira, Rogério Hartung Toppa, LM Assunção, Michael R Desjardins, Eric M Delmelle (2021). Detecting space–time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities.  Journal of Geographical Systems23 (1), 7-36
 



62. Y Lan, E Delmelle, E Delmelle (2021).  NDS: an interactive, web-based system to visualize urban neighborhood dynamics in United States.  Journal of Maps,17 (1), 62-70
 



61. C Owusu, GS Silverman, DS Vinson, R Paul, KM Baker, EM Delmelle (2021).  Predicting coliform presence in private wells as a function of well characteristics, parcel size and leachfield soil rating.  Science of The Total Environment, 758, 143701
 



60. Yu Lan, Michael R Desjardins, Alexander Hohl, Eric Delmelle (2021).  Geovisualization of COVID-19: State of the Art and Opportunities.  Cartographica: The International Journal for Geographic Information and Geovisualization
 




59. B Bayat, M Nasseri, E Delmelle (2021).  Uncertainty-based rainfall network design using a fuzzy spatial interpolation method.  Applied Soft Computing, 
106, 107296
 



58. Stephanie Jane Mundis, Gabriela Hamerlinck, Emily Stone, Ari Whiteman, Eric Delmelle, Tyler Rapp, Michael F. Dulin, Sadie Jane Ryan (2021).  Examining wing length-abundance relationships and pyrethroid resistance mutations among Aedes albopictus in a rapidly growing urban area with implications for mosquito surveillance and control,  International Journal of Environmental Research and Public Health. 

 



57. Owusu, C.; Bobyarchick, A.; Paul, R.; Vinson D.; Siverman, G. and E.M. Delmelle (2021).  A spatial autologistic model to predict the presence of arsenic in private wells across Gaston County, North Carolina using geology, well-depth, and pH. Exposure and Health [Working Paper]

 



56. Owusu, C., Delmelle, E., Tang, W., Silverman, G., & Dye, S. (2020). A Multistage, Geocoding Approach for the Development of a Database of Private Wells in Gaston County, North Carolina. Journal of Environmental Health,83(4): 8-16.
 




55. Ari Whiteman, Jose R Loaiza, Donald A Yee, Karen C Poh, Alexandria S Watkins, Keira J Lucas, Tyler J Rapp, Lillie Kline, Ayman Ahmed, Shi Chen, Eric Delmelle, Judith Uche Oguzie (2020). Do socioeconomic factors drive Aedes mosquito vectors and their arboviral diseases? A systematic review of dengue, chikungunya, yellow fever, and Zika Virus. One Health

 



54. MR Desjardins, MD Eastin, R Paul, I Casas, EM Delmelle (2020). Space–Time Conditional Autoregressive Modeling to Estimate Neighborhood-Level Risks for Dengue Fever in Cali, Colombia. The American Journal of Tropical Medicine and Hygiene 103 (5), 2040-2053
 [OA PDF] 
 



53. Lan, Y.; Dye, S; Tang, W. and E.M. Delmelle (2020).  A Web-based Spatial Decision Support System for Monitoring the Risk of Water Contamination in Private Wells. Annals of GIS
 



52. Hohl, A.; M. Desjardins; Y. Lan and E.M. Delmelle (2020).  Daily Surveillance of COVID-19 using the Prospective Space-Time Scan Statistic in the United States. Spatial and Spatio-Temporal Epidemiology. [OA PDF]

 


51. Hohl, A.; E.M. Delmelle and M. Desjardins (2020).  Rapid detection of COVID-19 clusters in the United States using a prospective space-time scan statistic: an update. SIGSPATIAL Special 12(1): 27-33. [PDF]


50. Desjardins M.; I. Casas; A. Maria Victoria; D. Carbonell; D. Dávalos and E. Delmelle (2020).  Knowledge, Attitudes, and Practices Regarding Dengue, Chikungunya, and Zika in Cali, Colombia. Health and Place. [OA PDF]


49. Desjardins, M.; A. Hohl & E. Delmelle (2020). Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: detecting and evaluating emerging clusters. Applied Geography [Working Paper]  [OA PDF]

 


48. AA Arif, R Paul, E Delmelle, C Owusu & O Adeyemi (2020). Estimating the prevalence and spatial clusters of coal workers’ pneumoconiosis cases using medicare claims data, 2011‐2014. American Journal of Industrial Medicine

 


47. Owusu, C., Desjardins, M. R., Baker, K. M., & Delmelle, E. (2019). Residential mobility impacts relative risk estimates of space-time clusters of chlamydia in Kalamazoo County, Michigan. Geospatial health, 14(2).


 


46. Chen, S., Whiteman, A., Li, A., Rapp, T., Delmelle, E., Chen, G., Brown, C.L., Robinson, P., Coffman, M.J., Janies, D., and Dulin, M. 2019. An operational machine learning approach to predict mosquito abundance based on socioeconomic and landscape patterns. Landscape Ecology, 1-17.


 


45. Casas I. and E.M. Delmelle. Landscapes of Health Care Utilization during a Dengue Fever Outbreak in an Urban Environment of Colombia. Environmental Monitoring and Assessment. To Appear


 


44. Deng J, Desjardins M. and E.M. Delmelle. An Interactive Platform for the Analysis of Landscape Patterns: A Cloud-based Parallel Approach. Annals of GIS. To appear


43. Delmelle E.M., Marsh D., Dony C. and P. Delamater. Travel Impedance Agreement among Online Road Network Data Providers. International Journal of Geographical Information Science. To appear.


42. Whiteman Ari, Eric Delmelle, Tyler Rapp, Shi Chen, Gang Chen, Michael Dulin (2018). A novel sampling method to measure socioeconomic drivers of Aedes albopictus distribution in Mecklenburg County, North Carolina. International Journal of Environmental Research and Public Health. In Press.


41. Major E.; Delmelle E. C. and E.M. Delmelle (2018). SNAPScapes: Using Geodemographic Segmentation to Classify the Food Access Landscape. Urban Science. In Press.[PDF] 40. Desjardins M., Hohl A., Griffith A. and E.M. Delmelle (2018). A space-time parallel framework for fine-scale visualization of pollen levels across the Eastern United States. Cartography and Geographic Information Science. In Press


39. Desjardins M, Whiteman A., Casas I and E.M. Delmelle (2018). Space-Time Clusters and Co-Occurrence of Chikungunya and Dengue Fever in Colombia from 2015 to 2016. Acta Tropica. In Press


38. Hohl A., Griffith A., Eppes M. and E.M. Delmelle (2018). Computationally Enabled 4D Visualizations Facilitate the Detection of Rock Fracture Patterns from Acoustic Emissions. Rock Mechanics and Rock Engineering. In Press


37. Racine E., Delmelle E, Major E and C. Solomon (2018) Accessibility Landscapes of SNAP-Authorized Stores. Journal of the Academy of Nutrition and Dietetics. In Press.


36. Delmelle E., Deshardins M.R. and J. Deng (2017). Designing spatially cohesive nature reserves with backup coverage. International Journal of Geographical Information Science.


35. Kirby R., Delmelle E. and J. Eberth (2017). Advances in spatial epidemiology and geographic information systems. Annals of Epidemiology, vol. 27: 1-9.


34. Delmelle E. M, Hagenlocher M., Kienberger S. and I. Casas (2016). A spatial model of socioeconomic and environmental determinants of dengue fever in Cali, Colombia. Acta Tropica, vol. 164: 169-176. [[Working paper]


33. Casas, I., Delmelle E. M. and E.C. Delmelle (2017). Potential versus revealed access to care during a dengue fever outbreak. Journal ofTransport and Health, vol.  4: 18-29. [Working Paper]


32. Hohl A., Delmelle E., Tand W. and I. Casas (2016). Accelerating the discovery of space-time patterns of infectious diseases using parallel computing. Spatial and Spatiotemporal Epidemiology. [Working Paper]


31. Eppes, M. C., Magi, B., Hallet, B., Delmelle, E., Mackenzie-Helnwein, P., Warren, K., & Swami, S. (2016). Deciphering the role of solar-induced thermal stresses in rock weathering. Geological Society of America Bulletin, B31422-1. [PDF]


30. Radcliff E., Delmelle E., Kirby R., Laditka S., Correia J. and C.H. Cassell (2016). Factors associated with travel time and distance to access hospital care among children with spina bifida. Maternal and Child Health Journal, vol. 20(1): 205-217.


29. Hohl, A.; Delmelle E.M. and W. Tang (2015). Spatiotemporal domain decomposition for massive parallel computation of space-time kernel density. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2.4: 7[PDF].


28. Dony C., Delmelle E.M and E.C. Delmelle (2015). Re-conceptualizing accessibility to parks in multi-modal cities: A Variable-width Floating Catchment Area (VFCA) method. Landscape and Urban Planning, vol. 143: 90-99. [PDF]


27. Dao D., Zhou Y., Thill J.-C. and E.M. Delmelle (2015). Enhanced Visualization Techniques in Support of Indoor 3D Location Modeling. Computers, Environment and Urban Systems, vol. 50: 15-29. [Working Paper]


26. Casas I., Delmelle E.M. and J. Yates (2014). Identifying key spatial regional properties in the defense of critical infrastructure using network interdiction, spatial analysis and GIS. Geojournal 1:17.  [Working Paper]


25. Delmelle, E.M.; Zhu H., Casas I. and W. Tang (2014). A Web-based geospatial toolkit for the monitoring of Dengue Fever. Applied Geography, vol. 52: 144-152 [Working Paper].


24. Eastin M., Delmelle E.M, Casas I, Wexler J. and C. Self (2014). Comparison of intra- and inter-seasonal auto-regressive modeling for predicting Dengue outbreaks in a tropical environment of Colombia. American Journal of Tropical Medicine and Hygiene. [Open Access PDF Paper]


23. Sagl, G., Delmelle E.M. and E.C. Delmelle (2014). Mapping collective human activity in an urban environment based on mobile phone data. Cartography and GIScience [Working Paper]


22. Delmelle E. M, J.-C. Thill, D. Peeters, I. Thomas (2014). A multi-period capacitated school location problem with modular equipment and closest assignment considerations, Journal of Geographical Systems. [Working Paper]


21. Delmelle E.M., Dony C., Casas I., Jia M. and W. Tang (2014). Visualizing the impact of space-time uncertainties on dengue fever patterns. International Journal of Geographical Information Science 


20. Kienberger S., Hagenlocher M., Delmelle E.M. and I. Casas (2013). A Web-GIS tool for visualizing and exploring socioeconomic vulnerability to Dengue Fever in Cali, Colombia, Geospatial Health, vol. 8(1): 313-316 [pdf].


19. Hagenlocher M., Kienberger S., Casas I. and E.M. Delmelle (2013). Assessing socioeconomic vulnerability to dengue fever in Cali, Colombia: statistical vs. expert-based modeling, International Journal of Health Geographics, vol. 12. [pdf]


18. Delmelle E.M., Cassell H., Dony C., Radcliff, E., Tanner, J.-P., Siffel, C. and R. Kirby (2013). Modeling Travel Impedance to Medical Care for Children with Birth Defects Using Geographic Information Systems, Birth Defects Part A Clinical Molecular Teratology, vol. 97(10): 673-684 [url]


17. Delmelle E.M., Kim C.J., Xao N. and W. Chen (2013). Methods for space-time pattern analysis and modeling: an overview. International Journal of Applied Geospatial Research, vol. 4(4): 1-18 [pdf]


16. Delmelle E.M., Casas I. , Rojas J. and A. Varelo (2013). Modeling Spatio-Temporal Patterns of Dengue Fever in Cali, Colombia, International Journal of Applied Geospatial Research, vol. 4(4): 58-75. [pdf]


15. Delmelle E.M., S. Li and A. Murray (2012). Identifying Bus Stop Redundancy: A GIS-based Spatial Optimization Approach. Computers, Environment and Urban Systems, vol. 35: 445-455.


14. Delmelle E.M. and E.C. Delmelle (2012). Exploring spatio-temporal commuting patterns in a university environment, Transport Policy, vol. 21: 1-9. [pdf]


13. Yan S., Delmelle E.M. and M. Duncan (2011). Impact of a Light Rail on Single Family Property Values in Charlotte. Journal of Transportation and Land Use, vol. 5.[pdf]


12 .Dao D., Zhou Y., Thill J.-C. and Delmelle E.M. (2011). Spatio-Temporal Location
Modeling of AEDs as Emergency Medical Devices in a 3D Indoor Environment.
International Journal of Geographical Information Science, vol. 26: 469-494.


11. Delmelle E.M., Delmelle E.C., I. Casas and T. Barto (2011). H.E.L.P: a GIS-based Health Exploratory AnaLysis tool for Practitioners. Applied Spatial Analysis and Policy, vol. 4: 113-137 [pdf].


10. Jensen J., Humes K., Vierling L., Hudak A. and E.M. Delmelle (2011). Evaluation of the MODIS LAI product using independent lidar-derived LAI: a case study in mixed conifer forest. Remote Sensing of the Environment, vol. 115: 3625-3639.


9. Akella M., Delmelle E.M., Batta R., Rogerson P. and A. Blatt (2010). Optimal Adaptive Facility Location Using Geostatistics. Geographical Analysis, vol. 42: 227-244.


8. Casas I., Delmelle E.M. and A. Varela (2010). A space-time approach to diffusion of health service provision information, International Regional Science Review, vol. 33: 134-156.


7. Delmelle E.M. and P. Goovaerts (2009). Second-Phase Sampling Designs for Non- Stationary Spatial Variables. Geoderma, vol. 153: 205-216.


6. Casas I., Malik A., Delmelle E.M., Karwan M.H. and R. Batta (2007). An Automated Network Generation Procedure for Routing of Unmanned Aerial Vehicles(UAVs) in a GIS Environment. Networks and Spatial Economics, vol. 7: 153-176.


5. Storfer A., Murphy M., Evans J., Goldberg C., Robinson S., Spear R., Dezzani R., Delmelle E.M., Vierling L. and L. Waits (2007). Putting the ”Landscape” in Landscape Genetics. Heridity, vol. 98: 128-142.


4. Delmelle E.M., Rogerson P., Akella M., Batta R., Blatt A. and G. Wilson (2005). Spatial Considerations in Evaluating the Effectiveness of Mayday Devices. Transportation Research Part C: Emerging Technologies, vol. 13: 432-447.[Working Paper]


3. Akella M., Batta R., Delmelle E.M., Rogerson P., Blatt A. and G. Wilson (2005). Base Station Location and Channel Allocation in a Cellular Network with Emergency Coverage Requirements. European Journal of Operations Research. vol. 164: 301-323.


2. Rogerson P., Delmelle E.M., Batta R., Akella M., Blatt A. and G. Wilson (2004). Optimal Sampling Design for Variables with Varying Spatial Importance. Geographical Analysis, vol. 36: 177-194.


1. Akella M., Bang C., Beutner R., Delmelle E.M., Wilson G., Blatt A., Batta R.
and P.A. Rogerson (2003). Evaluating the Reliability of Automated Collision Notification (ACN) Systems. Accident Analysis and Prevention, vol. 35: 349-360.


—


Book Chapters & Conference Proceedings


17. Desjardins M.; Hohl A.; Casas I and E.M. Delmelle. Identifying and Visualizing Space-Time Clusters of Vector-Borne Diseases. Geospatial Technology for Human Well-Being and Health. (Ed: F. Faruque). [WORD]


16. Martin M. and E.M. Delmelle. Modeling Spatial Attractiveness to Wine Tourism in North Carolina, U.S.A. In: Özge Öner, Mauro Ferrante, and Oliver Fritz (Eds). Regional Science Perspective on Tourism and Hospitality. Springer.


15. Chen M., J.-C. Thill and E. Delmelle (2018). iGLASS: An Open Source SDSS for Public School Location-Allocation. In: J.-C. Thill and S. Dragicevic. Geocomputational Analysis and Modeling of Regional Systems. SpringerLink: 325-353.


14. Hohl, Alexander, Minrui Zheng, Wenwu Tang, Eric Delmelle, and Irene Casas (2017). Spatiotemporal Point Pattern Analysis Using Ripley’s K Function. In Geospatial Data Science Techniques and Applications, CRC Press [PDF]


13. Delmelle, E., Tang, W., Zheng, M., Lan, Y., & Owusu, C. (2017). Geocoding Fundamentals and Associated Challenges. In Geospatial Data Science Techniques and Applications (pp. 57-78). CRC Press.[PDF]


12. Hohl A., Casas I., Delmelle E.M. and W. Tang (2016). Hybrid Indexing for Parallel Analysis of Spatiotemporal Point Patterns. GIScience 2016 meeting. Montreal. (conference proceedings). [pdf]


11. Delmelle E.M. Using Statistics to Describe and Explore Spatial Data. In Nicholas Clifford, Shaun French, Meghan Cope and Thomas Gillespie (Eds). Key Methods in Geography. Third Edition. [PDF] [Voting data]


10. Delmelle E.M. and P. Kanaroglou. Introduction: Spatial Analysis and Health. In: Spatial Analysis in Health Geography, with Pavlos Kanaroglou, Eric Delmelle and Antonio Paez (Eds.) [PDF].


9. Delmelle E.M. ,  Meijuan Jia, Wenwu Tang, Coline Dony, Irene Casas (2015). Space-time visualization of dengue fever outbreaks. In: Spatial Analysis in Health Geography, with Pavlos Kanaroglou, Eric Delmelle  and Antonio Paez (Eds.). [PDF]


8. Delmelle E.M.. (2014). Spatial Sampling. in Fischer M. and P. Nijkamp. Handbook of Regional Science, Springer.[PDF]


7. Delmelle E.M. (2013). Model-based criteria for second-phase spatial sampling. in Mateu, J. and Muller, W.G. Spatio-Temporal Design, Wiley.[PDF]


6. Delmelle E.M (2011). On the Use of Heuristics for a Non-Linear Spatial Optimization Problem. Geocomputation 2011, UCL, London, U.K. (conference proceedings).[PDF]


5. Delmelle E.M. (2010). Second-phase spatial sampling: local and global objectives
to optimize sampling patterns. Accuracy 2010 Symposium, Leicester, UK: 221-224 (conference proceedings). [PDF]


4. Delmelle E.M. (2009). Spatial Optimization Methods. In: In B. Wharf (ed). Encyclopedia of Human Geography, Sage Publications.[PDF]


3. Delmelle E.M.( 2009). Spatial Sampling. In: Fotheringham and Rogerson (eds.) Handbook of Spatial Analysis. Sage Publications [PDF – non corrected proofs]


2. Delmelle E.M (2009). Point Pattern Analysis. In: Kitchin and Thrift. (eds.). International Encyclopedia of Human Geography. Oxford, Elsevier. [PDF]


1. Delmelle E.M. and R. Dezzani (2009). Overview, classification and selection
of map projections for geospatial applications. In: Karimi H. (ed.). Handbook of Research on GeoInformatics. Idea Group Reference. [PDF]


(updated August 1 2017)