Computational and data sciences for health-GIS

References

• Alexander, F. E., and P. Boyle, eds. 1996. Methods for Investigating Localized Clustering of Disease. Lyon: IARC Scientific Publications No. 135.
   Google Scholar
• Armstrong, M. P., M. K. Cowles, and S. Wang. 2005. “Using a Computational Grid for Geographic Information Analysis: A Reconnaissance.” The Professional Geographer 57 (3): 365–375. doi:10.1111/j.0033-0124.2005.00484.x.
   Google Scholar
• Berke, E., and X. Shi. 2009. “Computing Travel Time When the Exact Address is Unknown: A Comparison of Point and Polygon ZIP Code Approximation Methods.” International Journal of Health Geographics 8: 23.
   Google Scholar
• Berke, E. M., S. E. Tanski, E. Demidenko, J. Alford-Teaster, X. Shi, and J. D. Sargent. 2010. “Alcohol Retail Density and Demographic Predictors of Health Disparities: A Geographic Analysis.” American Journal of Public Health 100 (10): 1967–1971. doi:10.2105/AJPH.2009.170464.
   Google Scholar
• Besag, J., and J. Newell. 1991. “The Detection of Clusters in Rare Diseases.” Journal of the Royal Statistical Society Series A 154: 143–155. doi:10.2307/2982708.
   Google Scholar
• Bithell, J. F. 1990. “An Application of Density Estimation to Geographical Epidemiology.” Statistics in Medicine 9: 691–701.
   Google Scholar
• Bithell, J. F. 2000. “A Classification of Disease Mapping Methods.” Statistics in Medicine 19: 2203–2215.
   Google Scholar
• Carlos, H. A., X. Shi, J. Sargent, S. Tanski, and E. M. Berke. 2010. “Density Estimation and Adaptive Bandwidths: A Primer for Public Health Practitioners.” International Journal of Health Geographics 9: 39. doi:10.1186/1476-072X-9-39.
   Google Scholar
• Celaya, M. O., E. M. Berke, T. L. Onega, J. Gui, B. L. Riddle, S. S. Cherala, and J. R. Rees. 2010. “Breast Cancer Stage at Diagnosis and Geographic Access to Mammography Screening (New Hampshire, 1998–2004).” Rural and Remote Health 10: 1361.
   Google Scholar
• Cromley, E. K., and S. McLafferty. 2012. GIS and Public Health. New York: Guilford Press.
   Google Scholar
• Cuzick, J., and R. Edwards. 1990. “Spatial Clustering for Heterogeneous Populations.” Journal of Royal Statistical Society B 52 (1): 73–104.
   Google Scholar
• Fortin, M.-J., and G. M. Jacquez. 2000. “Randomization Tests and Spatially Auto-Correlated Data.” Bulletin of the Ecological Society of America 81 (3): 201–205.
   Google Scholar
• Fotheringham, A. S., and F. B. Zhan. 1996. “A Comparison of Three Exploratory Methods for Cluster Detection in Spatial Point Patterns.” Geographical Analysis 28 (3): 200–218. doi:10.1111/j.1538-4632.1996.tb00931.x.
   Google Scholar
• Gatrell, A. C., T. C. Bailey, P. J. Diggle, and B. S. Rowlingson. 1996. “Spatial Point Pattern Analysis and Its Application in Geographical Epidemiology.” Transactions of the Institute of British Geographers 21: 256–274. doi:10.2307/622936.
   Google Scholar
• Gatrell, A. C., and M. Löytönen, eds. 1999. GIS and Health. London: Taylor and Francis.
   Google Scholar
• Hey, T., S. Tansley, and K. Tolle, eds. 2009. The Fourth Paradigm: Data-Intensive Scientific Discovery. Redmond, WA: Microsoft Research.
   Google Scholar
• Jacquez, G. M., and D. A. Greiling. 2003. “Geographic Boundaries in Breast, Lung and Colorectal Cancer in Relation To Exposure to Our Toxics in Long Island, New York.” International Journal of Health Geographics 2: 4. doi:10.1186/1476-072X-2-4.
   Google Scholar
• Jacquez, G. M., and J. A. Jacquez. 1999. “Disease Clustering for Uncertain Locations.” In Disease Mapping and Risk Assessment for Public Health Decision Making, edited by A. Lawson, A. Biggeri, D. Böhning, E. Lesaffre, J. F. Viel, and R. Bertollini, 151–168. London: John Wiley & Sons.
   Google Scholar
• Jacquez, G. M., and L. A. Waller. 1999. “The Effect of Uncertain Locations on Disease Cluster Statistics.” In Quantifying Spatial Uncertainty in Natural Resources: Theory and Applications for GIS and Remote Sensing, edited by H. T. Mowrer and R. G. Congalton, 53–64. Chelsea, MI: Sleeping Bear Press.
   Google Scholar
• Kelsall, J. E., and P. J. Diggle. 1995. “Kernel Estimation of Relative Risk.” Bernoulli 1: 3–16.
   Google Scholar
• Kulldorff, M. 1997. “A Spatial Scan Statistic.” Communications in Statistics: Theory and Methods 26: 1481–1496. doi:10.1080/03610929708831995.
   Google Scholar
• Kulldorff, M., E. J. Feuer, B. A. Miller, and L. S. Freedman. 1997. “Breast Cancer Clusters in the Northeast United States: A Geographic Analysis.” American Journal of Epidemiology 146: 161–170. doi:10.1093/oxfordjournals.aje.a009247.
   Google Scholar
• Kulldorff, M., and N. Nagarwalla. 1995. “Spatial Disease Clusters: Detection and Inference.” Statistics in Medicine 14: 799–810. doi:10.1002/sim.4780140809.
   Google Scholar
• Kwan, M.-P. 2012a. “The Uncertain Geographic Context Problem.” Annals of the Association of American Geographers 102 (5): 958–968. doi:10.1080/00045608.2012.687349.
   Google Scholar
• Kwan, M.-P. 2012b. “How GIS Can Help Address the Uncertain Geographic Context Problem in Social Science Research.” Annals of GIS 18 (4): 245–255. doi:10.1080/19475683.2012.727867.
   Google Scholar
• Lawson, A., and R. Bertollini, eds. 1999. Disease Mapping and Risk Assessment for Public Health. London: John Wiley & Sons.
   Google Scholar
• Lawson, A. B. 2001. Statistical Methods in Spatial Epidemiology. London: John Wiley & Sons.
   Google Scholar
• Luo, W. 2004. “Using a GIS-based Floating Catchment Method to Assess Areas with Shortage of Physicians.” Health and Place 10: 1–11. doi:10.1016/S1353-8292(02)00067-9.
   Google Scholar
• Luo, W., and Y. Qi. 2009. “An Enhanced Two-Step Floating Catchment Area (E2SFCA) Method for Measuring Spatial Accessibility to Primary Care Physicians.” Health and Place 15: 1100–1107. doi:10.1016/j.healthplace.2009.06.002.
   Google Scholar
• Luo, W., and F. Wang. 2003. “Measures of Spatial Accessibility to Healthcare in a GIS Environment: Synthesis and a Case Study in the Chicago Region.” Environment and Planning B: Planning and Design 30: 865–884. doi:10.1068/b29120.
   Google Scholar
• McLafferty, S., and S. Grady. 2004. “Prenatal Care Need and Access: A GIS Analysis.” Journal of Medical Systems 28 (3): 321–333. doi:10.1023/B:JOMS.0000032848.76032.28.
   Google Scholar
• Onega, T., E. J. Duell, X. Shi, D. Wang, E. Demidenko, and D. Goodman. 2008. “Geographic Access to Cancer Care in the U.S.” Cancer 112 (4): 909–918.
   Google Scholar
• Onega, T., E. J. Duell, X. Shi, E. Demidenko, and D. Goodman. 2009. “Determinants of NCI Cancer Center Attendance in Medicare Patients with Lung, Breast, Colorectal, or Prostate Cancer.” Journal of General Internal Medicine 24 (2): 205–210.
   Google Scholar
• Onega, T., E. J. Duell, X. Shi, E. Demidenko, and D. Goodman. 2010a. “Race Versus Place of Service in Mortality Among Medicare Beneficiaries with Cancer.” Cancer 116 (11): 2698–2706.
   Google Scholar
• Onega, T., E. J. Duell, X. Shi, E. Demidenko, and D. Goodman. 2010b. “Influence of Place of Residence in Access to Specialized Cancer Care for African Americans.” The Journal of Rural Health 26 (1): 12–19.
   Google Scholar
• Onega, T., E. J. Duell, X. Shi, E. Demidenko, D. Gottlieb, and D. Goodman. 2009. “Influence of NCI-Cancer Center Attendance on Mortality in Lung, Breast, Colorectal, and Prostate Cancer Patients.” Medical Care Research and Review 66 (5): 542–560.
   Google Scholar
• Onega, T. A., Cook, B. Kirlin, X. Shi, J. Alford-Teaster, L. Tuzzio, and D. S. M. Buist. 2011. “The Influence of Travel Time on Breast Cancer Characteristics, Receipt of Primary Therapy, and Surveillance Mammography.” Breast Cancer Research and Treatment 129 (1): 269–275.
   Google Scholar
• Openshaw, S. 1996. “Using a Geographical Analysis Machine to Detect the Presence of Spatial Clustering and the Location of Clusters in Synthetic Data.” In Methods for Investigating Localized Clustering of Disease, edited by F. E. Alexander and P. Boyle, 68–86. Lyon: IARC Scientific No. 135.
   Google Scholar
• Openshaw, S., M. Charlton, A. W. Craft, and J. M. Birch. 1988. “Investigation of Leukaemia Clusters by Use of a Geographical Analysis Machine.” The Lancet 331: 272–273. doi:10.1016/S0140-6736(88)90352-2.
   Google Scholar
• Openshaw, S., M. Charlton, C. Wymer, and A. Craft. 1987. “Developing a Mark 1 Geographical Analysis Machine for the Automated Analysis of Point Data Sets.” International Journal of Geographical Information Systems 1: 335–358. doi:10.1080/02693798708927821.
   Google Scholar
• Openshaw, S., I. Turton, and J. Macgill. 1999. “Using the Geographical Analysis Machine to Analyze Limiting Long-Term Illness Census Data.” Geographical and Environmental Modeling 3: 83–89.
   Google Scholar
• Padmanabhan, A., S. Wang, G. Cao, M. Hwang, Z. Zhang, Y. Gao, K. Soltani, and Y. Liu. 2014. “FluMapper: A CyberGIS Application for Interactive Analysis of Massive Location-based Social Media.” Concurrency and Computation: Practice and Experience 26 (13): 2253–2265. doi:10.1002/cpe.3287.
   Google Scholar
• Rushton, G., R. Krishnamurthy, D. Krishnamurti, P. Lolonis, and H. Song. 1996. “The Spatial Relationship between Infant Mortality and Birth Defect Rates in a US City.” Statistics in Medicine 15: 1907–1919. doi:10.1002/(SICI)1097-0258(19960930)15:18<1907::AID-SIM402>3.0.CO;2-R.
   Google Scholar
• Rushton, G., and P. Lolonis. 1996. “Exploratory Spatial Analysis of Birth Defect Rates in an Urban Population.” Statistics in Medicine 15: 717–726. doi:10.1002/(SICI)1097-0258(19960415)15:7/9<717::AID-SIM243>3.0.CO;2-0.
   Google Scholar
• Sabel, C. E., A. C. Gatrell, M. Löytönen, P. Maasilta, and M. Jokelainen. 2000. “Modelling Exposure Opportunities: Estimating Relative Risk for Motor Neurone Disease in Finland.” Social Science and Medicine 50: 1121–1137. doi:10.1016/S0277-9536(99)00360-3.
   Google Scholar
• Shi, X. 2007. “Evaluating the Uncertainty Caused by Post Office Box Addresses in Environmental Health Studies: A Restricted Monte Carlo Approach.” International Journal of Geographical Information Science 21 (3): 325–340. doi:10.1080/13658810600924211.
   Google Scholar
• Shi, X. 2009. “A Geocomputational Process for Characterizing the Spatial Pattern of Lung Cancer Incidence in New Hampshire.” Annals of the Association of American Geographers 99 (3): 521–533. doi:10.1080/00045600902931801.
   Google Scholar
• Shi, X. 2010. “Selection of Bandwidth Type and Adjustment Side in Kernel Density Estimation over Inhomogeneous Backgrounds.” International Journal of Geographical Information Science 24 (5): 643–660. doi:10.1080/13658810902950625.
   Google Scholar
• Shi, X., J. Alford-Teaster, T. Onega, and D. Wang. 2012. “Spatial Access and Local Demand for Major Cancer Care Facilities in the United States.” Annals of the Association of American Geographers 102 (5): 1125–1134. doi:10.1080/00045608.2012.657498.
   Google Scholar
• Shi, X., E. Duell, E. Demidenko, T. Onega, B. Wilson, and D. Hoftiezer. 2007. “A Polygon-based Locally Weighted Average Method for Smoothing Disease Rates of Small Units.” Epidemiology 18 (5): 523–528. doi:10.1097/EDE.0b013e3181271ac8.
   Google Scholar
• Shi, X., S. D. Miller, K. M. Mwenda, A. Onda, J. R. Rees, T. L. Onega, J. Gui, M. R. Karagas, E. Demidenko, and J. B. Moeschler. 2013. “Mapping Disease at an Approximated Individual Level Using Aggregate Data: A Case Study of Mapping New Hampshire Birth Defects.” International Journal of Environmental Research and Public Health 10: 4161–4174. doi:10.3390/ijerph10094161.
   Google Scholar
• Shook, E., S. Wang, and W. Tang. 2013. “A Communication-Aware Framework for Parallel Spatially Explicit Agent-Based Models.” International Journal of Geographical Information Science 27 (11): 2160–2181. doi:10.1080/13658816.2013.771740.
   Google Scholar
• Tang, W., S. Wang, D. A. Bennett, and Y. Liu. 2011. “Agent-based Modeling within a Cyberinfrastructure Environment: A Service-Oriented Computing Approach.” International Journal of Geographical Information Science 25 (9): 1323–1346. doi:10.1080/13658816.2011.585342.
   Google Scholar
• Turnbull, B. W., E. J. Iwano, W. S. Burnett, H. L. Howe, and L. C. Clark. 1990. “Monitoring for Clusters of Disease: Application to Leukemia Incidence in Upstate New York.” American Journal of Epidemiology 132: 136–143.
   Google Scholar
• Waller, L. A., and C. A. Gotway. 2004. Applied Spatial Statistics for Public Health Data. Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Wang, F. 2012. “Measurement, Optimization and Impact of Healthcare Accessibility: A Methodological Review.” Annals of the Association of American Geographers 102: 1104–1112. doi:10.1080/00045608.2012.657146.
   Google Scholar
• Wang, F., and W. Luo. 2005. “Assessing Spatial and Nonspatial Factors for Healthcare Access: Towards an Integrated Approach to Defining Health Professional Shortage Areas.” Health and Place 11: 131–146. doi:10.1016/j.healthplace.2004.02.003.
   Google Scholar
• Wang, F., S. McLafferty, V. Escamilla, and L. Luo. 2008. “Late-Stage Breast Cancer Diagnosis and Healthcare Access in Illinois.” The Professional Geographer 60 (1): 54–69. doi:10.1080/00330120701724087.
   Google Scholar
• Wang, S. 2010. “A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis.” Annals of the Association of American Geographers 100 (3): 535–557. doi:10.1080/00045601003791243.
   Google Scholar
• Wang, S. 2013. “CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science 27 (11): 2119–2121. doi:10.1080/13658816.2013.841318.
   Google Scholar
• Wang, S., L. Anselin, B. Bhaduri, C. Crosby, M. F. Goodchild, Y. Liu, and T. L. Nyerges. 2013. “CyberGIS Software: A Synthetic Review and Integration Roadmap.” International Journal of Geographical Information Science 27 (11): 2122–2145. doi:10.1080/13658816.2013.776049.
   Google Scholar
• Wang, S., and M. P. Armstrong. 2009. “A Theoretical Approach to the Use of Cyberinfrastructure in Geographical Analysis.” International Journal of Geographical Information Science 23 (2): 169–193. doi:10.1080/13658810801918509.
   Google Scholar
• Wang, S., H. Hu, T. Lin, Y. Liu, A. Padmanabhan, and K. Soltani. 2014. “CyberGIS for Data-Intensive Knowledge Discovery.” ACM SIGSPATIAL Newsletter 6 (2): 26–33.
   Google Scholar
• Wang, S., and Y. Liu. 2009. “TeraGrid GIScience Gateway: Bridging Cyberinfrastructure and GIScience.” International Journal of Geographical Information Science 23 (5): 631–656. doi:10.1080/13658810902754977.
   Google Scholar
• Wang, S., N. R. Wilkins-Diehr, and T. L. Nyerges. 2012. “CyberGIS – Toward Synergistic Advancement of Cyberinfrastructure and GIScience: A Workshop Summary.” Journal of Spatial Information Science 4: 125–148.
   Google Scholar
• Wright, D. J., and S. Wang. 2011. “The Emergence of Spatial Cyberinfrastructure.” Proceedings of the National Academy of Sciences 108 (14): 5488–5491. doi:10.1073/pnas.1103051108.
   Google Scholar