E-Research and GeoComputation in Public Health
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[1] P. Farmer,et al. Community-Based Health Financing and Child Stunting in Rural Rwanda. , 2016, American journal of public health.
[2] P. Zandbergen,et al. Influence of geocoding quality on environmental exposure assessment of children living near high traffic roads , 2007, BMC public health.
[3] E. S. Page. CONTINUOUS INSPECTION SCHEMES , 1954 .
[4] Tanesh Kumar,et al. Blockchain Utilization in Healthcare: Key Requirements and Challenges , 2018, 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom).
[5] A. Craft,et al. INVESTIGATION OF LEUKAEMIA CLUSTERS BY USE OF A GEOGRAPHICAL ANALYSIS MACHINE , 1988, The Lancet.
[6] Zhenlong Li,et al. Geospatial Service Web: towards integrated cyberinfrastructure for GIScience , 2012, Geo spatial Inf. Sci..
[7] Anuj Karpatne,et al. Spatio-Temporal Data Mining , 2017, ACM Comput. Surv..
[8] Vipin Kumar,et al. A Comparative Study Of Algorithms For Land Cover Change , 2010, CIDU.
[9] Pierre Goovaerts,et al. International Journal of Health Geographics Geostatistical Analysis of Disease Data: Visualization and Propagation of Spatial Uncertainty in Cancer Mortality Risk Using Poisson Kriging and P-field Simulation , 2022 .
[10] Noel A Cressie,et al. Statistics for Spatio-Temporal Data , 2011 .
[11] G. Rushton,et al. Exploratory spatial analysis of birth defect rates in an urban population. , 1996, Statistics in medicine.
[12] L. Anselin. Local Indicators of Spatial Association—LISA , 2010 .
[13] Alan H. Strahler,et al. Fuzzy Neural Network Classification of Global Land Cover from a 1° AVHRR Data Set , 1999 .
[14] Shawn T. Brown,et al. FRED (A Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations , 2013, BMC Public Health.
[15] Joaquín B. Ordieres Meré,et al. Activity-aware essential tremor evaluation using deep learning method based on acceleration data. , 2019, Parkinsonism & related disorders.
[16] L. De Cola. Spatial Forecasting of Disease Risk and Uncertainty , 2002 .
[17] Fulvio Corno,et al. A Healthcare Support System for Assisted Living Facilities: An IoT Solution , 2016, 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC).
[18] Shaowen Wang,et al. A communication-aware framework for parallel spatially explicit agent-based models , 2013, Int. J. Geogr. Inf. Sci..
[19] Daniel A. Griffith,et al. Impacts of Positional Error on Spatial Regression Analysis: A Case Study of Address Locations in Syracuse, New York , 2007, Trans. GIS.
[20] Leiyu Shi,et al. Public Health, Social Determinants of Health, and Public Policy , 2009 .
[21] Song Guo,et al. Adaptive and Fault-Tolerant Data Processing in Healthcare IoT Based on Fog Computing , 2020, IEEE Transactions on Network Science and Engineering.
[22] Andreas Menychtas,et al. Recommender Systems for IoT Enabled m-Health Applications , 2018, AIAI.
[23] Shawn T. Brown,et al. School closure as an influenza mitigation strategy: how variations in legal authority and plan criteria can alter the impact , 2012, BMC Public Health.
[24] M. Kwan. Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework , 2010 .
[25] Wei Xiang,et al. Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities , 2017, IEEE Access.
[26] E. S. Gardner. EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II , 2006 .
[27] Mohan M. Trivedi,et al. Learning trajectory patterns by clustering: Experimental studies and comparative evaluation , 2009, CVPR.
[28] E. Lesaffre,et al. Disease mapping and risk assessment for public health. , 1999 .
[29] Sandeep K. Sood,et al. Exploring Temporal Analytics in Fog-Cloud Architecture for Smart Office HealthCare , 2019, Mob. Networks Appl..
[30] Farrokh Alemi,et al. Enhancing spatial detection accuracy for syndromic surveillance with street level incidence data , 2010, International journal of health geographics.
[31] S. Openshaw. Ecological Fallacies and the Analysis of Areal Census Data , 1984, Environment & planning A.
[32] Seungmin Rho,et al. Fog Computing-Based IoT for Health Monitoring System , 2018, J. Sensors.
[33] Martin Charlton,et al. A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets , 1987, Int. J. Geogr. Inf. Sci..
[34] Graham Clarke,et al. Examining the factors associated with depression at the small area level in Ireland using spatial microsimulation techniques , 2010 .
[35] Vipin Kumar,et al. Discovery of climate indices using clustering , 2003, KDD '03.
[36] Kay Caldwell,et al. Developing a framework for critiquing health research: an early evaluation. , 2011, Nurse education today.
[37] P A Zandbergen,et al. Error propagation models to examine the effects of geocoding quality on spatial analysis of individual-level datasets. , 2012, Spatial and spatio-temporal epidemiology.
[38] Vipin Kumar,et al. Monitoring global forest cover using data mining , 2011, TIST.
[39] Zhiliang Zhu,et al. Mapping Mountain Pine Beetle Mortality through Growth Trend Analysis of Time-Series Landsat Data , 2014, Remote. Sens..
[40] David G Steel,et al. Constraint Choice for Spatial Microsimulation , 2016 .
[41] Gerard Rushton,et al. Modeling the probability distribution of positional errors incurred by residential address geocoding , 2007 .
[42] Birgit Müller,et al. Simulation Models for Socioeconomic Inequalities in Health: A Systematic Review , 2013, International journal of environmental research and public health.
[43] Bahae Abidi,et al. Wireless Sensor Networks in Biomedical: Wireless Body Area Networks , 2017 .
[44] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[45] R. Logesh,et al. Fog computing-based intelligent healthcare system for the detection and prevention of mosquito-borne diseases , 2019, Comput. Hum. Behav..
[46] R. Webster,et al. Kriging: a method of interpolation for geographical information systems , 1990, Int. J. Geogr. Inf. Sci..
[47] Paul A. Longley,et al. Geocomputation: a primer , 1998 .
[48] Victor I. Chang,et al. Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare , 2018, Future Gener. Comput. Syst..
[49] Logesh Ravi,et al. Fog-assisted personalized healthcare-support system for remote patients with diabetes , 2019, J. Ambient Intell. Humaniz. Comput..
[50] Xi Chen,et al. Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities , 2016, Computational Sustainability.
[51] Geoffrey M Jacquez,et al. Local indicators of geocoding accuracy (LIGA): theory and application , 2009, International journal of health geographics.
[52] Haeng-Kon Kim,et al. From Cloud to Fog and IoT-Based Real-Time U-Healthcare Monitoring for Smart Homes and Hospitals , 2016 .
[53] E. Ghysels,et al. Detecting Multiple Breaks in Financial Market Volatility Dynamics , 2002 .
[54] David Palma,et al. Fog Computing in Healthcare–A Review and Discussion , 2017, IEEE Access.
[55] Dino Pedreschi,et al. Trajectory pattern mining , 2007, KDD '07.
[56] Xun Shi,et al. Selection of bandwidth type and adjustment side in kernel density estimation over inhomogeneous backgrounds , 2010, Int. J. Geogr. Inf. Sci..
[57] Liangpei Zhang,et al. Classification of High Spatial Resolution Imagery Using Improved Gaussian Markov Random-Field-Based Texture Features , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[58] Juan C. Duque,et al. Supervised Regionalization Methods: A Survey , 2007 .
[59] Jae-Gil Lee,et al. Trajectory clustering: a partition-and-group framework , 2007, SIGMOD '07.
[60] Thomas O Talbot,et al. Positional error in automated geocoding of residential addresses , 2003, International journal of health geographics.
[61] Lee De Cola,et al. Spatial Forecasting of Disease Risk and Uncertainty , 2002 .
[62] Hyeonjoon Moon,et al. A Survey on Internet of Things and Cloud Computing for Healthcare , 2019, Electronics.
[63] L. Valinsky,et al. Near real-time space-time cluster analysis for detection of enteric disease outbreaks in a community setting. , 2016, The Journal of infection.
[64] ZhengXiaochen,et al. The development of intelligent healthcare in China. , 2015 .
[65] Danny Dorling,et al. Using geographical information systems and spatial microsimulation for the analysis of health inequalities , 2006, Health Informatics J..
[66] Mojtaba Alizadeh,et al. The application of internet of things in healthcare: a systematic literature review and classification , 2018, Universal Access in the Information Society.
[67] Gerard Rushton,et al. Geocoding accuracy and the recovery of relationships between environmental exposures and health , 2008, International journal of health geographics.
[68] Kimberley L Edwards,et al. The design and validation of a spatial microsimulation model of obesogenic environments for children in Leeds, UK: SimObesity. , 2009, Social science & medicine.
[69] Travis C Porco,et al. Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns. , 2016, JAMA ophthalmology.
[70] James D Sargent,et al. Alcohol retail density and demographic predictors of health disparities: a geographic analysis. , 2010, American journal of public health.
[71] Hongming Cai,et al. The design of an m-Health monitoring system based on a cloud computing platform , 2017, Enterp. Inf. Syst..
[72] Neeraj Kumar,et al. Fog computing for Healthcare 4.0 environment: Opportunities and challenges , 2018, Comput. Electr. Eng..
[73] Mingzhe Jiang,et al. Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach , 2018, Future Gener. Comput. Syst..
[74] Jiawei Han,et al. CLARANS: A Method for Clustering Objects for Spatial Data Mining , 2002, IEEE Trans. Knowl. Data Eng..
[75] Kyung-Sup Kwak,et al. The Internet of Things for Health Care: A Comprehensive Survey , 2015, IEEE Access.
[76] Geza Benke,et al. Artificial Intelligence and Big Data in Public Health , 2018, International journal of environmental research and public health.
[77] Kaarin J Anstey,et al. Can social dancing prevent falls in older adults? a protocol of the Dance, Aging, Cognition, Economics (DAnCE) fall prevention randomised controlled trial , 2013, BMC Public Health.
[78] Shashi Shekhar,et al. Identifying patterns in spatial information: A survey of methods , 2011, WIREs Data Mining Knowl. Discov..
[79] P. Elliott,et al. Geographical epidemiology of prostate cancer in Great Britain , 2002, International journal of cancer.
[80] Richard D. Mrozinski,et al. Subject loss in spatial analysis of breast cancer. , 1999, Health & place.
[81] Joanne S Colt,et al. Positional Accuracy of Two Methods of Geocoding , 2005, Epidemiology.
[82] L. K. Hansen,et al. On Clustering fMRI Time Series , 1999, NeuroImage.
[83] Yaniv Assaf,et al. Cluster analysis of resting-state fMRI time series , 2009, NeuroImage.
[84] Nabil Ahmed Sultan,et al. Making use of cloud computing for healthcare provision: Opportunities and challenges , 2014, Int. J. Inf. Manag..
[85] Vipin Kumar,et al. Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time , 2014, SDM.
[86] R. Spear,et al. Integrating uncertainty and interindividual variability in environmental risk assessment. , 1987, Risk analysis : an official publication of the Society for Risk Analysis.
[87] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[88] T. Talbot,et al. Data quality and the spatial analysis of disease rates: congenital malformations in New York State. , 2002, Health & place.
[89] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1972 .
[90] Rémi Bastide,et al. Engineering IoT Healthcare Applications: Towards a Semantic Data Driven Sustainable Architecture , 2016, eHealth 360°.
[91] Andrew Harvey,et al. Forecasting, structural time series models and the Kalman filter: Selected answers to exercises , 1990 .
[92] Wei Shen,et al. A Smart Gateway for Health Care System Using Wireless Sensor Network , 2010, 2010 Fourth International Conference on Sensor Technologies and Applications.
[93] P. Nilsen. Making sense of implementation theories, models and frameworks , 2015, Implementation Science.
[94] Harry H. Kelejian,et al. A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model , 1999 .
[95] Aron Culotta,et al. Towards detecting influenza epidemics by analyzing Twitter messages , 2010, SOMA '10.
[96] Sandeep K. Sood,et al. A Fog-Based Healthcare Framework for Chikungunya , 2018, IEEE Internet of Things Journal.
[97] Julian Besag,et al. The Detection of Clusters in Rare Diseases , 1991 .
[98] Empirical Process of the Squared Residuals of an ARCH Sequence , 2001 .
[99] P. Elliott,et al. Spatial Epidemiology: Current Approaches and Future Challenges , 2004, Environmental health perspectives.
[100] Jun Chen,et al. Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book , 2008 .
[101] Peter Corcoran,et al. Mobile-Edge Computing and the Internet of Things for Consumers: Extending cloud computing and services to the edge of the network , 2016, IEEE Consumer Electronics Magazine.
[102] Jiang Gui,et al. Mapping Disease at an Approximated Individual Level Using Aggregate Data: A Case Study of Mapping New Hampshire Birth Defects , 2013, International journal of environmental research and public health.
[103] Marimuthu Palaniswami,et al. Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..
[104] Mark Monmonier,et al. Cartography: uncertainty, interventions, and dynamic display , 2006 .
[105] Xun Shi,et al. INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS METHODOLOGY Density estimation and adaptive bandwidths: , 2022 .
[106] Joe Weber,et al. Individual accessibility and distance from major employment centers: An examination using space-time measures , 2003, J. Geogr. Syst..
[107] Sateesh Addepalli,et al. Fog computing and its role in the internet of things , 2012, MCC '12.
[108] P. Shit,et al. Geospatial Analysis of Public Health , 2018 .
[109] Andrew Harvey,et al. Forecasting, Structural Time Series Models and the Kalman Filter , 1990 .
[110] Marisol García-Valls,et al. Accelerating smart eHealth services execution at the fog computing infrastructure , 2020, Future Gener. Comput. Syst..
[111] Shaowen Wang,et al. Computational and data sciences for health-GIS , 2015, Ann. GIS.
[112] Richard J Jackson,et al. Economic gains resulting from the reduction in children's exposure to lead in the United States. , 2002, Environmental health perspectives.
[113] Sylvia Richardson,et al. Improving ecological inference using individual‐level data , 2006, Statistics in medicine.
[114] Dae-Hyeong Kim,et al. Multifunctional wearable devices for diagnosis and therapy of movement disorders. , 2014, Nature nanotechnology.
[115] N. Arunkumar,et al. Enabling technologies for fog computing in healthcare IoT systems , 2019, Future Gener. Comput. Syst..
[116] M. Kulldorff. A spatial scan statistic , 1997 .
[117] Jeremy Ginsberg,et al. Detecting influenza epidemics using search engine query data , 2009, Nature.
[118] Stan Openshaw,et al. Using a Geographical Explanations Machine to Explore Spatial Factors relating to Primary School Performance , 2001 .
[119] L. Pickle,et al. Geographic bias related to geocoding in epidemiologic studies , 2005, International journal of health geographics.
[120] Andrew B. Lawson,et al. Statistical Methods in Spatial Epidemiology , 2001 .
[121] S. Fotheringham,et al. Geographically Weighted Regression , 1998 .
[122] Ju Ren,et al. Fog-Enabled Smart Health: Toward Cooperative and Secure Healthcare Service Provision , 2019, IEEE Communications Magazine.
[123] Amit P. Sheth,et al. Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems , 2018, IEEE Internet Computing.
[124] M. Kwan,et al. Evaluating the Effects of Geographic Contexts on Individual Accessibility: A Multilevel Approach1 , 2003 .
[125] David Lillethun,et al. Mobile fog: a programming model for large-scale applications on the internet of things , 2013, MCC '13.
[126] Elsie R. Pamuk,et al. Health, United States, 2001; with Urban and rural health chartbook , 2001 .
[127] C. Woodcock,et al. Continuous monitoring of forest disturbance using all available Landsat imagery , 2012 .
[128] M. P. van den Heuvel,et al. Normalized Cut Group Clustering of Resting-State fMRI Data , 2008, PloS one.