23.8.12 GIS: Using GIS for Medical Applications, Health Care, Disease Tracking

Chapter Contents (Back)
GIS. GIS, Applications. Medical. Health. Disease.
See also GIS: for COVID Specific Tracking, Spread, Analysis.

Buchin, K.[Kevin], Buchin, M.[Maike], van Kreveld, M.[Marc], Löffler, M.[Maarten], Luo, J.[Jun], Silveira, R.I.[Rodrigo I.],
Processing aggregated data: the location of clusters in health data,
GeoInfo(16), No. 3, July 2012, pp. 497-521.
WWW Link. 1202
Analyze data using spatially aggregated information (e.g. population at risk, not just risk). Health data. BibRef

Tran, C.C.[Chinh C.], Yost, R.S.[Russell S.], Yanagida, J.F.[John F.], Saksena, S.[Sumeet], Fox, J.[Jefferson], Sultana, N.[Nargis],
Spatio-Temporal Occurrence Modeling of Highly Pathogenic Avian Influenza Subtype H5N1: A Case Study in the Red River Delta, Vietnam,
IJGI(2), No. 4, 2013, pp. 1106-1121.
DOI Link 1402
BibRef

Moreno-Madriñán, M.J.[Max J.], Crosson, W.L.[William L.], Eisen, L.[Lars], Estes, S.M.[Sue M.], Maurice G. Estes, Jr., Hayden, M.[Mary], Hemmings, S.N.[Sarah N.], Irwin, D.E.[Dan E.], Lozano-Fuentes, S.[Saul], Monaghan, A.J.[Andrew J.], Quattrochi, D.[Dale], Welsh-Rodriguez, C.M.[Carlos M.], Zielinski-Gutierrez, E.[Emily],
Correlating Remote Sensing Data with the Abundance of Pupae of the Dengue Virus Mosquito Vector, Aedes aegypti, in Central Mexico,
IJGI(3), No. 2, 2014, pp. 732-749.
DOI Link 1407
BibRef

Cleckner, H.[Haley], Allen, T.R.[Thomas R.],
Dasymetric Mapping and Spatial Modeling of Mosquito Vector Exposure, Chesapeake, Virginia, USA,
IJGI(3), No. 3, 2014, pp. 891-913.
DOI Link 1407
BibRef

La Bute, M.X.[Montiago X.], McMahon, B.H.[Benjamin H.], Brown, M.[Mac], Manore, C.[Carrie], Fair, J.M.[Jeanne M.],
A Flexible Spatial Framework for Modeling Spread of Pathogens in Animals with Biosurveillance and Disease Control Applications,
IJGI(3), No. 2, 2014, pp. 638-661.
DOI Link 1407
BibRef

Torabi, M.[Mahmoud], Galloway, K.[Katie],
Geographical Variation of Incidence of Chronic Obstructive Pulmonary Disease in Manitoba, Canada,
IJGI(3), No. 3, 2014, pp. 1039-1057.
DOI Link 1410
BibRef

Luan, H.[Hui], Law, J.[Jane],
Web GIS-Based Public Health Surveillance Systems: A Systematic Review,
IJGI(3), No. 2, 2014, pp. 481-506.
DOI Link 1405
BibRef

Lary, D.J.[David John], Woolf, S.[Steven], Faruque, F.[Fazlay], LePage, J.P.[James P.],
Holistics 3.0 for Health,
IJGI(3), No. 3, 2014, pp. 1023-1038.
DOI Link 1410
BibRef

Lee, J.[Jay], Alnasrallah, M.[Mohammad], Wong, D.[David], Beaird, H.[Heather], Logue, E.[Everett],
Impacts of Scale on Geographic Analysis of Health Data: An Example of Obesity Prevalence,
IJGI(3), No. 4, 2014, pp. 1198-1210.
DOI Link 1411
BibRef

Machault, V.[Vanessa], Yébakima, A.[André], Etienne, M.[Manuel], Vignolles, C.[Cécile], Palany, P.[Philippe], Tourre, Y.M.[Yves M.], Guérécheau, M.[Marine], Lacaux, J.P.[Jean-Pierre],
Mapping Entomological Dengue Risk Levels in Martinique Using High-Resolution Remote-Sensing Environmental Data,
IJGI(3), No. 4, 2014, pp. 1352-1371.
DOI Link 1412
BibRef

Acker, J.[James], Soebiyanto, R.[Radina], Kiang, R.[Richard], Kempler, S.[Steve],
Use of the NASA Giovanni Data System for Geospatial Public Health Research: Example of Weather-Influenza Connection,
IJGI(3), No. 4, 2014, pp. 1372-1386.
DOI Link 1412
BibRef

Lu, Y.M.[Yong-Mei], Fang, T.F.B.[Tian-Fang Bernie],
Examining Personal Air Pollution Exposure, Intake, and Health Danger Zone Using Time Geography and 3D Geovisualization,
IJGI(4), No. 1, 2014, pp. 32-46.
DOI Link 1502
BibRef

Kirk, K.E.[Karen E.], Haq, M.Z.[M. Zahirul], Alam, M.S.[Mohammad Shafiul], Haque, U.[Ubydul],
Geospatial Technology: A Tool to Aid in the Elimination of Malaria in Bangladesh,
IJGI(4), No. 1, 2014, pp. 47-58.
DOI Link 1502
BibRef

Chen, D.M.[Dong-Mei], Wong, H.[Haydi], Belanger, P.[Paul], Moore, K.[Kieran], Peterson, M.[Mary], Cunningham, J.[John],
Analyzing the Correlation between Deer Habitat and the Component of the Risk for Lyme Disease in Eastern Ontario, Canada: A GIS-Based Approach,
IJGI(4), No. 1, 2015, pp. 105-123.
DOI Link 1502
BibRef

Jamtsho, S.[Sonam], Corner, R.[Robert], Dewan, A.[Ashraf],
Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in Bhutan,
IJGI(4), No. 3, 2015, pp. 1584.
DOI Link 1511
BibRef

Kandeh, J.[Joseph], Kumar, L.[Lalit],
Developing a Relative Ranking of Social Vulnerability of Governorates of Yemen to Humanitarian Crisis,
IJGI(4), No. 4, 2015, pp. 1913.
DOI Link 1511
BibRef

Mariathas, H.H.[Hensley H.], Rosychuk, R.J.[Rhonda J.],
An Examination of Three Spatial Event Cluster Detection Methods,
IJGI(4), No. 1, 2015, pp. 367-384.
DOI Link 1504
spatial disease surveillance, find clusters of disease. BibRef

Ye, X.Y.[Xin-Yue], Li, S.W.[Sheng-Wen], Yang, X.N.[Xi-Ning], Qin, C.L.[Cheng-Lin],
Use of Social Media for the Detection and Analysis of Infectious Diseases in China,
IJGI(5), No. 9, 2016, pp. 156.
DOI Link 1610
BibRef

Stanforth, A.[Austin], Moreno-Madriñán, M.J.[Max J.], Ashby, J.[Jeffrey],
Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed,
RS(8), No. 9, 2016, pp. 770.
DOI Link 1610
BibRef

Wang, J.[Jiao], Jia, P.[Peng], Cuadros, D.F.[Diego F.], Xu, M.[Min], Wang, X.L.[Xian-Liang], Guo, W.D.[Wei-Dong], Portnov, B.A.[Boris A.], Bao, Y.[Yuhai], Chang, Y.S.[Yu-Shan], Song, G.[Genxin], Chen, N.[Nan], Stein, A.[Alfred],
A Remote Sensing Data Based Artificial Neural Network Approach for Predicting Climate-Sensitive Infectious Disease Outbreaks: A Case Study of Human Brucellosis,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Ashby, J.[Jeffrey], Moreno-Madriñán, M.J.[Max J.], Yi-Fannoutsos, C.T.[Constantin T.], Stanforth, A.[Austin],
Niche Modeling of Dengue Fever Using Remotely Sensed Environmental Factors and Boosted Regression Trees,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Kwon, P.[Pil], Kim, M.J.[Min-Jun], Lee, Y.[Youngmin], Yu, K.[Kiyun], Huh, Y.[Yong],
Locating Automated External Defibrillators in a Complicated Urban Environment Considering a Pedestrian-Accessible Network that Focuses on Out-of-Hospital Cardiac Arrests,
IJGI(6), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Marco, M.[Miriam], Freisthler, B.[Bridget], Gracia, E.[Enrique], López-Quílez, A.[Antonio], Lila, M.[Marisol],
Neighborhood Characteristics, Alcohol Outlet Density, and Alcohol-Related Calls-for-Service: A Spatiotemporal Analysis in a Wet Drinking Country,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801
BibRef

Viana, J.[João], Santos, J.V.[João Vasco], Neiva, R.M.[Rui Manuel], Souza, J.[Júlio], Duarte, L.[Lia], Teodoro, A.C.[Ana Cláudia], Freitas, A.[Alberto],
Remote Sensing in Human Health: A 10-Year Bibliometric Analysis,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Baldacchino, F.[Frédéric], Marcantonio, M.[Matteo], Manica, M.[Mattia], Marini, G.[Giovanni], Zorer, R.[Roberto], Delucchi, L.[Luca], Arnoldi, D.[Daniele], Montarsi, F.[Fabrizio], Capelli, G.[Gioia], Rizzoli, A.[Annapaola], Rosà, R.[Roberto],
Mapping of Aedes albopictus Abundance at a Local Scale in Italy,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Wang, J.[Jue], Lee, K.J.[Kang-Jae], Kwan, M.P.[Mei-Po],
Environmental Influences on Leisure-Time Physical Inactivity in the U.S.: An Exploration of Spatial Non-Stationarity,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Guo, D.H.[Dan-Huai], Zhu, Y.Q.[Ying-Qiu], Yin, W.W.[Wen-Wu],
OSCAR: a framework to integrate spatial computing ability and data aggregation for emergency management of public health,
GeoInfo(22), No. 2, April 2018, pp. 383-410.
WWW Link. 1805
BibRef

Murad, A.[Abdulkader],
Using GIS for Determining Variations in Health Access in Jeddah City, Saudi Arabia,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Zhang, Z.[Zhe], Jia, L.M.[Li-Min], Qin, Y.[Yong],
Measuring Selection Diversity of Emergency Medical Service for Metro Stations: A Case Study in Beijing,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Acharya, B.K.[Bipin Kumar], Cao, C.X.[Chun-Xiang], Xu, M.[Min], Khanal, L.[Laxman], Naeem, S.[Shahid], Pandit, S.[Shreejana],
Temporal Variations and Associated Remotely Sensed Environmental Variables of Dengue Fever in Chitwan District, Nepal,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Bae, J.W., Shin, K., Lee, H., Lee, H.J., Lee, T., Kim, C.H., Cha, W., Kim, G.W., Moon, I.,
Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details,
SMCS(48), No. 9, September 2018, pp. 1454-1469.
IEEE DOI 1809
disasters, emergency management, hospitals, transportation, transport unit, hospitals location, road network, MCI, mass casualty incident (MCI) BibRef

Faruque, F.S.[Fazlay S.],
Remote Sensing and Geospatial Technologies in Public Health,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Deng, G.[Guangran], Mao, L.[Liang],
Spatially Explicit Age Segregation Index and Self-Rated Health of Older Adults in US Cities,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Pagès-Zamora, A.[Alba], Cabrera-Bean, M.[Margarita], Díaz-Vilor, C.[Carles],
Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis,
PR(86), 2019, pp. 209-223.
Elsevier DOI 1811
Crowdsourcing, Unreliable annotators, Unsupervised method, Online EM algorithm, MalariaSpot BibRef

Chen, M.[Mei],
From biomedical big data to knowledge and action,
MVA(29), No. 8, November 2018, pp. 1209-1210.
WWW Link. 1811
BibRef

Marek, L.[Lukas], Campbell, M.[Malcolm], Epton, M.[Michael], Kingham, S.[Simon], Storer, M.[Malina],
Winter Is Coming: A Socio-Environmental Monitoring and Spatiotemporal Modelling Approach for Better Understanding a Respiratory Disease,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Liévanos, R.S.[Raoul S.],
Impaired Water Hazard Zones: Mapping Intersecting Environmental Health Vulnerabilities and Polluter Disproportionality,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Marston, C.[Christopher], Giraudoux, P.[Patrick],
On the Synergistic Use of Optical and SAR Time-Series Satellite Data for Small Mammal Disease Host Mapping,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Mueller, E.[Erik], Sandoval, J.S.O.[J. S. Onésimo], Mudigonda, S.[Srikanth], Elliott, M.[Michael],
A Cluster-Based Machine Learning Ensemble Approach for Geospatial Data: Estimation of Health Insurance Status in Missouri,
IJGI(8), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Rood, E.[Ente], Khan, A.H.[Ahmadul Hasan], Modak, P.K.[Pronab Kumar], Mergenthaler, C.[Christina], van Gurp, M.[Margo], Blok, L.[Lucie], Bakker, M.[Mirjam],
A Spatial Analysis Framework to Monitor and Accelerate Progress towards SDG 3 to End TB in Bangladesh,
IJGI(8), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Tang, W.J.[Wen-Juan], Ren, J.[Ju], Zhang, Y.X.[Yao-Xue],
Enabling Trusted and Privacy-Preserving Healthcare Services in Social Media Health Networks,
MultMed(21), No. 3, March 2019, pp. 579-590.
IEEE DOI 1903
data privacy, health care, Internet, medical information systems, security of data, social networking (online), trusted computing, sybil attack BibRef

Zhou, X.[Xiao], Cheng, L.[Liang], Zhang, F.L.[Fang-Li], Yan, Z.J.[Zhao-Jin], Ruan, X.G.[Xiao-Guang], Min, K.F.[Kai-Fu], Li, M.C.[Man-Chun],
Integrating Island Spatial Information and Integer Optimization for Locating Maritime Search and Rescue Bases: A Case Study in the South China Sea,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Tariq, H.[Hasan], Tahir, A.[Anas], Touati, F.[Farid], Al-Hitmi, M.A.E.[Mohammed Abdulla E.], Crescini, D.[Damiano], Ben Manouer, A.[Adel],
Geographical Area Network: Structural Health Monitoring Utility Computing Model,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Tran, A.[Annelise], Fall, A.G.[Assane Gueye], Biteye, B.[Biram], Ciss, M.[Mamadou], Gimonneau, G.[Geoffrey], Castets, M.[Mathieu], Seck, M.T.[Momar Talla], Chevalier, V.[Véronique],
Spatial Modeling of Mosquito Vectors for Rift Valley Fever Virus in Northern Senegal: Integrating Satellite-Derived Meteorological Estimates in Population Dynamics Models,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Ni, J.H.[Jian-Hua], Liang, M.[Ming], Lin, Y.[Yan], Wu, Y.L.[Yan-Lan], Wang, C.[Chen],
Multi-Mode Two-Step Floating Catchment Area (2SFCA) Method to Measure the Potential Spatial Accessibility of Healthcare Services,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Hu, S.J.[Shu-Ju], Song, W.[Wei], Li, C.G.[Cheng-Gu], Lu, J.[Jia],
The Spatial Equity of Nursing Homes in Changchun: A Multi-Trip Modes Analysis,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Jung, M.G.[Myung-Gu], Ko, W.[Woorim], Choi, Y.[Yeohee], Cho, Y.T.[Young-Tae],
Spatial Variations in Fertility of South Korea: A Geographically Weighted Regression Approach,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Parselia, E.[Elisavet], Kontoes, C.[Charalampos], Tsouni, A.[Alexia], Hadjichristodoulou, C.[Christos], Kioutsioukis, I.[Ioannis], Magiorkinis, G.[Gkikas], Stilianakis, N.I.[Nikolaos I.],
Satellite Earth Observation Data in Epidemiological Modeling of Malaria, Dengue and West Nile Virus: A Scoping Review,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Moreira, M.W.L.[Mário W.L.], Rodrigues, J.J.P.C.[Joel J.P.C.], Carvalho, F.H.C.[Francisco H.C.], Al-Muhtadi, J.[Jalal], Kozlov, S.[Sergey], Rabêlo, R.A.L.[Ricardo A.L.],
Classification of risk areas using a bootstrap-aggregated ensemble approach for reducing Zika virus infection in pregnant women,
PRL(125), 2019, pp. 289-294.
Elsevier DOI 1909
Artificial intelligence, Epidemic risk areas recognition, Cross-validation, Ensemble learning BibRef

di Giamberardino, P., Compagnucci, L., de Giorgi, C., Iacoviello, D.,
Modeling the Effects of Prevention and Early Diagnosis on HIV/AIDS Infection Diffusion,
SMCS(49), No. 10, October 2019, pp. 2119-2130.
IEEE DOI 1909
Human immunodeficiency virus, Immune system, Mathematical model, Sociology, Statistics, Analytical models, Blood, Analytical models, systems performance analysis and prediction BibRef

Wang, Y.Y.X.G.[Ying-Ying X. G.], Matson, K.D.[Kevin D.], Xu, Y.J.[Yan-Jie], Prins, H.H.T.[Herbert H. T.], Huang, Z.Y.X.[Zheng Y. X.], de Boer, W.F.[Willem F.],
Forest Connectivity, Host Assemblage Characteristics of Local and Neighboring Counties, and Temperature Jointly Shape the Spatial Expansion of Lyme Disease in United States,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Georganos, S.[Stefanos], Gadiaga, A.N.[Assane Niang], Linard, C.[Catherine], Grippa, T.[Tais], Vanhuysse, S.[Sabine], Mboga, N.[Nicholus], Wolff, E.[Eléonore], Dujardin, S.[Sébastien], Lennert, M.[Moritz],
Modelling the Wealth Index of Demographic and Health Surveys within Cities Using Very High-Resolution Remotely Sensed Information,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Malek, R.[Robert], Zapponi, L.[Livia], Eriksson, A.[Anna], Ciolli, M.[Marco], Mazzoni, V.[Valerio], Anfora, G.[Gianfranco], Tattoni, C.[Clara],
Monitoring 2.0: Update on the Halyomorpha halys Invasion of Trentino,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
Platform to report sightings of invasive insects (e.g. mosquitoes). BibRef

Guedes, D.S.[Diana Sousa], Ribeiro, H.[Hélder], Sillero, N.[Neftalí],
An Improved Mobile Mapping System to Detect Road-Killed Amphibians and Small Birds,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Hamer, W.B.[Wolfgang B.], Birr, T.[Tim], Verreet, J.A.[Joseph-Alexander], Duttmann, R.[Rainer], Klink, H.[Holger],
Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Marti, R.[Renaud], Li, Z.C.[Zhi-Chao], Catry, T.[Thibault], Roux, E.[Emmanuel], Mangeas, M.[Morgan], Handschumacher, P.[Pascal], Gaudart, J.[Jean], Tran, A.[Annelise], Demagistri, L.[Laurent], Faure, J.F.[Jean-François], Carvajal, J.J.[José Joaquín], Drumond, B.[Bruna], Xu, L.[Lei], Herbreteau, V.[Vincent], Gurgel, H.[Helen], Dessay, N.[Nadine], Gong, P.[Peng],
A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
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Zhao, L.[Liang], Chen, J.Z.[Jiang-Zhuo], Chen, F.[Feng], Jin, F.[Fang], Wang, W.[Wei], Lu, C.T.[Chang-Tien], Ramakrishnan, N.[Naren],
Online flu epidemiological deep modeling on disease contact network,
GeoInfo(24), No. 2, April 2020, pp. 443-475.
Springer DOI 2005
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Murad, A.[Abdulkader], Khashoggi, B.F.[Bandar Fuad],
Using GIS for Disease Mapping and Clustering in Jeddah, Saudi Arabia,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Macku, K.[Karel], Caha, J.[Jan], Pászto, V.[Vít], Tucek, P.[Pavel],
Subjective or Objective? How Objective Measures Relate to Subjective Life Satisfaction in Europe,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link 2005
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Rakotoarison, H.A.[Hobiniaina Anthonio], Rasamimalala, M.[Mampionona], Rakotondramanga, J.M.[Jean Marius], Ramiranirina, B.[Brune], Franchard, T.[Thierry], Kapesa, L.[Laurent], Razafindrakoto, J.[Jocelyn], Guis, H.[Hélène], Tantely, L.M.[Luciano Michaël], Girod, R.[Romain], Rakotoniaina, S.[Solofoarisoa], Baril, L.[Laurence], Piola, P.[Patrice], Rakotomanana, F.[Fanjasoa],
Remote Sensing and Multi-Criteria Evaluation for Malaria Risk Mapping to Support Indoor Residual Spraying Prioritization in the Central Highlands of Madagascar,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
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Khashoggi, B.F.[Bandar Fuad], Murad, A.[Abdulkader],
Issues of Healthcare Planning and GIS: A Review,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
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Greco, L.[Luca], Percannella, G.[Gennaro], Ritrovato, P.[Pierluigi], Tortorella, F.[Francesco], Vento, M.[Mario],
Trends in IoT based solutions for health care: Moving AI to the edge,
PRL(135), 2020, pp. 346-353.
Elsevier DOI 2006
Atrificial intelligence, Internet of things, Healthcare, Edge computing, Fog computing BibRef

Nukavarapu, N.[Nivedita], Durbha, S.[Surya],
Interdependent Healthcare Critical Infrastructure Analysis in a Spatiotemporal Environment: A Case Study,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
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Zhou, X.X.[Xin-Xin], Yu, Z.Y.[Zhao-Yuan], Yuan, L.W.[Lin-Wang], Wang, L.[Lei], Wu, C.B.[Chang-Bin],
Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering Residential Transportation Mode Choice,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
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Zhou, L.[Liang], Wang, S.H.[Shao-Hua], Xu, Z.B.[Zhi-Bang],
A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Lewandowska-Gwarda, K.[Karolina], Antczak, E.[Elzbieta],
Urban Ageing in Europe: Spatiotemporal Analysis of Determinants,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Lorenzo, G.[Gianquintieri], Antonia, B.M.[Brovelli Maria], Maria, B.P.[Brambilla Piero], Andrea, P.[Pagliosa], Francesco, V.G.[Villa Guido], Gianluca, C.E.[Caiani Enrico],
Development of a Novel Framework to Propose New Strategies for Automated External Defibrillators Deployment Targeting Residential Out-Of-Hospital Cardiac Arrests: Application to the City of Milan,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
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Sogno, P.[Patrick], Traidl-Hoffmann, C.[Claudia], Kuenzer, C.[Claudia],
Earth Observation Data Supporting Non-Communicable Disease Research: A Review,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Asri, H.[Hiba], Mousannif, H.[Hajar], Moatassime, H.A.[Hassan Al], Zahir, J.[Jihad],
Big Data and Reality Mining in Healthcare: Promise and Potential,
ICISP20(122-129).
Springer DOI 2009
BibRef

Pepey, A.[Anaïs], Souris, M.[Marc], Vantaux, A.[Amélie], Morand, S.[Serge], Lek, D.[Dysoley], Mueller, I.[Ivo], Witkowski, B.[Benoit], Herbreteau, V.[Vincent],
Studying Land Cover Changes in a Malaria-Endemic Cambodian District: Considerations and Constraints,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Candeloro, L.[Luca], Ippoliti, C.[Carla], Iapaolo, F.[Federica], Monaco, F.[Federica], Morelli, D.[Daniela], Cuccu, R.[Roberto], Fronte, P.[Pietro], Calderara, S.[Simone], Vincenzi, S.[Stefano], Porrello, A.[Angelo], d'Alterio, N.[Nicola], Calistri, P.[Paolo], Conte, A.[Annamaria],
Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
West Nile Disease BibRef

Gharakhanlou, N.M.[Navid Mahdizadeh], Hooshangi, N.[Navid], Helbich, M.[Marco],
A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Andreopoulos, P.[Panagiotis], Polykretis, C.[Christos], Tragaki, A.[Alexandra],
Assessment and Mapping of Spatio-Temporal Variations in Human Mortality-Related Parameters at European Scale,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
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Costa, C.[Claudia], Tenedório, J.A.[José António], Santana, P.[Paula],
Disparities in Geographical Access to Hospitals in Portugal,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Han, B.[Bing], Hu, M.X.[Ming-Xing], Wang, J.L.[Jia-Ling],
Site Selection for Pre-Hospital Emergency Stations Based on the Actual Spatiotemporal Demand: A Case Study of Nanjing City, China,
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Sun, Y.[Yeran], Hu, X.[Xuke], Huang, Y.[Ying], Chan, T.O.[Ting On],
Spatial Patterns of Childhood Obesity Prevalence in Relation to Socioeconomic Factors across England,
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Assessing Quality of Life Inequalities. A Geographical Approach,
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Emergency Department Overcrowding: A Retrospective Spatial Analysis and the Geocoding of Accesses. A Pilot Study in Rome,
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Niu, X.Y.[Xin-Yi], Yue, Y.F.[Yu-Feng], Zhou, X.G.[Xin-Gang], Zhang, X.H.[Xiao-Hu],
How Urban Factors Affect the Spatiotemporal Distribution of Infectious Diseases in Addition to Intercity Population Movement in China,
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Changing Patterns of Malaria in Grande Comore after a Drastic Decline: Importance of Fine-Scale Spatial Analysis to Inform Future Control Actions,
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Pesaresi, C.[Cristiano], Pavia, D.[Davide],
Radio Base Stations and Electromagnetic Fields: GIS Applications and Models for Identifying Possible Risk Factors and Areas Exposed. Some Exemplifications in Rome,
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Kotchi, S.O.[Serge Olivier], Bouchard, C.[Catherine], Brazeau, S.[Stéphanie], Ogden, N.H.[Nicholas H.],
Earth Observation-Informed Risk Maps of the Lyme Disease Vector Ixodes scapularis in Central and Eastern Canada,
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Sun, Y.[Yong], Ji, M.[Min], Jin, F.X.[Feng-Xiang], Wang, H.M.[Hui-Meng],
Public Responses to Air Pollution in Shandong Province Using the Online Complaint Data,
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Duarte, L.[Lia], Teodoro, A.C.[Ana Cláudia], Lobo, M.[Mariana], Viana, J.[João], Pinheiro, V.[Vera], Freitas, A.[Alberto],
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IJGI(10), No. 4, 2021, pp. xx-yy.
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Moua, Y.[Yi], Kotchi, S.O.[Serge Olivier], Ludwig, A.[Antoinette], Brazeau, S.[Stéphanie],
Mapping the Habitat Suitability of West Nile Virus Vectors in Southern Quebec and Eastern Ontario, Canada, with Species Distribution Modeling and Satellite Earth Observation Data,
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Andreopoulos, P.[Panagiotis], Kalogeropoulos, K.[Kleomenis], Tragaki, A.[Alexandra], Stathopoulos, N.[Nikolaos],
Could Historical Mortality Data Predict Mortality Due to Unexpected Events?,
IJGI(10), No. 5, 2021, pp. xx-yy.
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Mu, L.[Lan], Liu, Y.[Yusi], Zhang, D.[Donglan], Gao, Y.[Yong], Nuss, M.[Michelle], Rajbhandari-Thapa, J.[Janani], Chen, Z.[Zhuo], Pagán, J.A.[José A.], Li, Y.[Yan], Li, G.[Gang], Son, H.[Heejung],
Rurality and Origin-Destination Trajectories of Medical School Application and Matriculation in the United States,
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Tsantalidou, A.[Argyro], Parselia, E.[Elisavet], Arvanitakis, G.[George], Kyratzi, K.[Katerina], Gewehr, S.[Sandra], Vakali, A.[Athena], Kontoes, C.[Charalampos],
MAMOTH: An Earth Observational Data-Driven Model for Mosquitoes Abundance Prediction,
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Liu, M.[Maohua], Luo, S.Q.[Si-Qi], Du, X.H.[Xishi-Hui],
Exploring Equity in Healthcare Services: Spatial Accessibility Changes during Subway Expansion,
IJGI(10), No. 7, 2021, pp. xx-yy.
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Sun, J.T.[Jing-Tao], Wu, S.[Sensen], Yan, Z.[Zhen], Li, Y.D.[Ya-Dong], Yan, C.[Cheng], Zhang, F.[Feng], Liu, R.Y.[Ren-Yi], Du, Z.H.[Zhen-Hong],
Using Geographically Weighted Regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese Mainland,
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Hand, foot, and mouth disease. BibRef

Rød, J.K.[Jan Ketil], Eide, A.H.[Arne H.], Halvorsen, T.[Thomas], Munthali, A.[Alister],
Using Prospective Methods to Identify Fieldwork Locations Favourable to Understanding Divergences in Health Care Accessibility,
IJGI(10), No. 8, 2021, pp. xx-yy.
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Gómez, J.M.N.[José Manuel Naranjo], Castanho, R.A.[Rui Alexandre], Fernández, J.C.[José Cabezas], Loures, L.[Luís],
Assessing Health Resources Equipped with Hemodynamic Rooms in the Portuguese-Spanish Borderland: Cross-Border Cooperation Strategies as a Possible Solution,
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Razavi-Termeh, S.V.[Seyed Vahid], Sadeghi-Niaraki, A.[Abolghasem], Choi, S.M.[Soo-Mi],
Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms,
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Kang, J.Y.[Jeon-Young], Aldstadt, J.[Jared],
Using Multiple Scale Space-Time Patterns to Determine the Number of Replicates and Burn-In Periods in Spatially Explicit Agent-Based Modeling of Vector-Borne Disease Transmission,
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Tao, Z.L.[Zhuo-Lin], Han, W.C.[Wen-Chao],
Assessing the Impacts of Hierarchical Healthcare System on the Accessibility and Spatial Equality of Healthcare Services in Shenzhen, China,
IJGI(10), No. 9, 2021, pp. xx-yy.
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Sreemongkol, K.[Kiatirat], Lohatepanont, M.[Manoj], Cheewinsiriwat, P.[Pannee], Bunlikitkul, T.O.[Tanyaluk O.], Supasaovapak, J.[Jirapong],
GIS Mapping Evaluation of Stroke Service Areas in Bangkok Using Emergency Medical Services,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
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Almalki, A.[Abrar], Gokaraju, B.[Balakrishna], Mehta, N.[Nikhil], Doss, D.A.[Daniel Adrian],
Geospatial and Machine Learning Regression Techniques for Analyzing Food Access Impact on Health Issues in Sustainable Communities,
IJGI(10), No. 11, 2021, pp. xx-yy.
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Pakravan, M.H.[Mohammad H.], Johnson, A.C.[Andrea C.],
Electrification Planning for Healthcare Facilities in Low-Income Countries, Application of a Portfolio-Level, Multi Criteria Decision-Making Approach,
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Hultquist, C.[Carolynne], Oravecz, Z.[Zita], Cervone, G.[Guido],
A Bayesian Approach to Estimate the Spatial Distribution of Crowdsourced Radiation Measurements around Fukushima,
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Campanharo, W.A.[Wesley Augusto], Morello, T.[Thiago], Christofoletti, M.A.M.[Maria A. M.], Anderson, L.O.[Liana O.],
Hospitalization Due to Fire-Induced Pollution in the Brazilian Legal Amazon from 2005 to 2018,
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Hardy, A.[Andy], Oakes, G.[Gregory], Hassan, J.[Juma], Yussuf, Y.[Yussuf],
Improved Use of Drone Imagery for Malaria Vector Control through Technology-Assisted Digitizing (TAD),
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Su, Y.W.[Yu-Wei], Wang, J.Y.[Jing-Yong], Wang, J.P.[Jiang-Ping], Wang, G.[Guoen],
Measuring Spatial Accessibility to Hospitals of Acute Myocardial Infarction in Multi Period Scale: A Case Study in Shijingshan District, Beijing, China,
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Nurwatik, N.[Nurwatik], Hong, J.H.[Jung-Hong], Jaelani, L.M.[Lalu Muhamad], Handayani, H.H.[Hepi Hapsari], Cahyono, A.B.[Agung Budi], Darminto, M.R.[Mohammad Rohmaneo],
Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
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Wu, X.L.[Xi-Lin], Liu, Q.S.[Qing-Sheng], Huang, C.[Chong], Li, H.[He],
Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi,
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DOI Link 2205
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Hu, W.[Wei], Li, L.[Lin], Su, M.[Mo],
Modeling Health Seeking Behavior Based on Location-Based Service Data: A Case Study of Shenzhen, China,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link 2206
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Bian, W.C.[Wan-Chao], Hou, H.[Hao], Chen, J.[Jiang], Zhou, B.[Bin], Xia, J.H.[Jian-Hong], Xie, S.J.[Shan-Juan], Liu, T.[Ting],
Evaluating the Spatial Risk of Bacterial Foodborne Diseases Using Vulnerability Assessment and Geographically Weighted Logistic Regression,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Wang, C.L.[Cheng-Long], Sheng, Y.L.[Yun-Liang], Wang, J.M.[Jia-Ming], Wang, Y.[Yiyi], Wang, P.[Peng], Huang, L.[Lei],
Air Pollution and Human Health: Investigating the Moderating Effect of the Built Environment,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Li, Z.C.[Zhi-Chao], Dong, J.[Jinwei],
Big Geospatial Data and Data-Driven Methods for Urban Dengue Risk Forecasting: A Review,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Salvacion, A.R.[Arnold R.],
Measuring Spatial Accessibility of Healthcare Facilities in Marinduque, Philippines,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link 2211
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Wang, J.Y.[Jing-Yong], Su, Y.W.[Yu-Wei], Chen, Z.H.[Zi-Hao], Tang, L.X.[Li-Xuan], Wang, G.[Guoen], Wang, J.P.[Jiang-Ping],
Assessing the Spatial Accessibility of Urban Medical Facilities in Multi-Level and Multi-Period Scales Based on Web Mapping API and an Improved Potential Model,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link 2212
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Lotfata, A.[Aynaz], Georganos, S.[Stefanos], Kalogirou, S.[Stamatis], Helbich, M.[Marco],
Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine Learning in Chicago, Illinois, USA,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link 2212
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Morlighem, C.[Camille], Chaiban, C.[Celia], Georganos, S.[Stefanos], Brousse, O.[Oscar], van de Walle, J.[Jonas], van Lipzig, N.P.M.[Nicole P. M.], Wolff, E.[Eléonore], Dujardin, S.[Sébastien], Linard, C.[Catherine],
The Multi-Satellite Environmental and Socioeconomic Predictors of Vector-Borne Diseases in African Cities: Malaria as an Example,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Marston, C.[Christopher], Rowland, C.[Clare], O'Neil, A.[Aneurin], Irish, S.[Seth], Wat'senga, F.[Francis], Martín-Gallego, P.[Pilar], Aplin, P.[Paul], Giraudoux, P.[Patrick], Strode, C.[Clare],
Developing the Role of Earth Observation in Spatio-Temporal Mosquito Modelling to Identify Malaria Hot-Spots,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Ji, H.M.[Hui-Min], Wang, J.[Juan], Zhu, Y.R.[Yan-Rong], Shi, C.S.[Chang-Sheng], Wang, S.H.[Shao-Hua], Zhi, G.Q.[Guo-Qing], Meng, B.[Bin],
Spatial Distribution of Urban Parks' Effect on Air Pollution-Related Health and the Associated Factors in Beijing City,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
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Zhan, L.[Liang], Li, N.[Nana], Li, C.[Chune], Sang, X.J.[Xue-Jia], Ma, J.[Jun],
Evaluation Method of Equalization of Basic Medical Services from the Spatial Perspective: The Case of Xinjiang, China,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
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Yang, J.[Jue], Mu, L.[Lan], Rajbhandari-Thapa, J.[Janani],
Measuring and Mapping Physical Activity Disparity (PAD) Index Based on Physical Activity Environment for Children,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
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Wang, S.[Siwaner], Sun, Q.[Qian], Chen, P.F.[Peng-Fei], Qiu, H.[Hui], Chen, Y.[Yang],
Location Scheme of Routine Nucleic Acid Testing Sites Based on Location-Allocation Models: A Case Study of Shenzhen City,
IJGI(12), No. 4, 2023, pp. 152.
DOI Link 2305
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Huang, Z.B.[Zhi-Bin], Cao, C.X.[Chun-Xiang], Xu, M.[Min], Yang, X.W.[Xin-Wei],
Impact of Environmental Exposure on Chronic Diseases in China and Assessment of Population Health Vulnerability,
IJGI(12), No. 4, 2023, pp. 155.
DOI Link 2305
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Guo, X.Y.[Xiao-Yu], Zeng, S.P.[Sui-Ping], Namaiti, A.[Aihemaiti], Zeng, J.[Jian],
Evaluation of Supply-Demand Matching of Public Health Resources Based on Ga2SFCA: A Case Study of the Central Urban Area of Tianjin,
IJGI(12), No. 4, 2023, pp. 156.
DOI Link 2305
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Ek, A.[Alfieri], Drawve, G.[Grant], Robinson, S.[Samantha], Datta, J.[Jyotishka],
Quantifying the Effect of Socio-Economic Predictors and the Built Environment on Mental Health Events in Little Rock, AR,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link 2306
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Trujillano, F.[Fedra], Garay, G.J.[Gabriel Jimenez], Alatrista-Salas, H.[Hugo], Byrne, I.[Isabel], Nunez-del-Prado, M.[Miguel], Chan, K.[Kallista], Manrique, E.[Edgar], Johnson, E.[Emilia], Apollinaire, N.[Nombre], Kouakou, P.K.[Pierre Kouame], Oumbouke, W.A.[Welbeck A.], Tiono, A.B.[Alfred B.], Guelbeogo, M.W.[Moussa W.], Lines, J.[Jo], Carrasco-Escobar, G.[Gabriel], Fornace, K.[Kimberly],
Mapping Malaria Vector Habitats in West Africa: Drone Imagery and Deep Learning Analysis for Targeted Vector Surveillance,
RS(15), No. 11, 2023, pp. 2775.
DOI Link 2306
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Román-Pérez, S.[Susana], Aguirre-Gómez, R.[Raúl], Hernández-Ávila, J.E.[Juan Eugenio], Íñiguez-Rojas, L.B.[Luisa Basilia], Santos-Luna, R.[René], Correa-Morales, F.[Fabián],
Identification of Risk Areas of Dengue Transmission in Culiacan, Mexico,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
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Peng, L.[Liang], Wang, N.[Nan], Dvornek, N.[Nicha], Zhu, X.F.[Xiao-Feng], Li, X.X.[Xiao-Xiao],
FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction,
MedImg(42), No. 7, July 2023, pp. 2032-2043.
IEEE DOI 2307
Diseases, Statistics, Sociology, Image edge detection, Generators, Predictive models, Imaging, Federated learning, disease prediction BibRef

Zhang, D.[Die], Ge, Y.[Yong], Wu, X.L.[Xi-Lin], Liu, H.Y.[Hai-Yan], Zhang, W.B.[Wen-Bin], Lai, S.J.[Sheng-Jie],
Data-Driven Models Informed by Spatiotemporal Mobility Patterns for Understanding Infectious Disease Dynamics,
IJGI(12), No. 7, 2023, pp. xx-yy.
DOI Link 2308
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Zhou, X.X.[Xin-Xin], Chen, Y.J.[Yu-Jie], Li, Y.Y.[Ying-Ying], Liu, B.J.[Bing-Jie], Yu, Z.Y.[Zhao-Yuan],
Spatiotemporal Data-Driven Multiperiod Relocation Optimization of Emergency Medical Services: Maximum Equality Objective,
IJGI(12), No. 7, 2023, pp. xx-yy.
DOI Link 2308
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Yu, M.K.[Ming-Kai], Fu, Y.C.[Ying-Chun], Liu, W.K.[Wen-Kai],
An Optimization Method for Equalizing the Spatial Accessibility of Medical Services in Guangzhou,
IJGI(12), No. 7, 2023, pp. xx-yy.
DOI Link 2308
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Kang, J.Y.[Jeon-Young], Wong, S.[Sandy], Park, J.[Jinwoo], Lee, J.[Jinhyung], Aldstadt, J.[Jared],
Exploring Spatial Mismatch between Primary Care and Older Populations in an Aging Country: A Case Study of South Korea,
IJGI(12), No. 7, 2023, pp. xx-yy.
DOI Link 2308
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Du, X.S.H.[Xi-Shi-Hui], Liu, M.H.[Mao-Hua], Luo, S.Q.[Si-Qi],
Exploring Equity in a Hierarchical Medical Treatment System: A Focus on Determinants of Spatial Accessibility,
IJGI(12), No. 8, 2023, pp. 318.
DOI Link 2309
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Gao, S.P.[Shu-Peng], Dai, X.F.[Xiang-Feng], Wang, L.[Lin], Perra, N.[Nicola], Wang, Z.[Zhen],
Epidemic Spreading in Metapopulation Networks Coupled With Awareness Propagation,
Cyber(53), No. 12, December 2023, pp. 7686-7698.
IEEE DOI 2312
BibRef

Liao, S.[Shunyi], Gao, F.[Feng], Feng, L.[Lei], Wu, J.[Jiemin], Wang, Z.X.[Ze-Xia], Chen, W.[Wangyang],
Observed Equity and Driving Factors of Automated External Defibrillators: A Case Study Using WeChat Applet Data,
IJGI(12), No. 11, 2023, pp. xx-yy.
DOI Link 2312
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Hao, J.[Jian], Shen, J.W.[Jing-Wei],
A Fine-Grained Simulation Study on the Incidence Rate of Dysentery in Chongqing, China,
IJGI(12), No. 11, 2023, pp. xx-yy.
DOI Link 2312
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Oh, C.[Changwha], Chun, Y.W.[Yong-Wan], Kim, H.[Hyun],
Location Planning of Emergency Medical Facilities Using the p-Dispersed-Median Modeling Approach,
IJGI(12), No. 12, 2023, pp. 497.
DOI Link 2312
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Wang, C.Z.[Chang-Zhen], Leitner, M.[Michael], Paulus, G.[Gernot],
Multiscale Analysis of Spatial Accessibility to Acute Hospitals in Carinthia, Austria,
IJGI(12), No. 12, 2023, pp. 491.
DOI Link 2312
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Komura, R.[Ryunosuke], Matsuoka, M.[Masayuki],
High-Temporal-Resolution Prediction of Malaria Transmission Risk in South Kivu, Democratic Republic of the Congo, Based on Multi-Criteria Evaluation Using Geospatial Data,
IJGI(12), No. 12, 2023, pp. 489.
DOI Link 2312
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Guo, K.[Kehua], Shen, C.C.[Chang-Chun], Zhou, X.K.[Xiao-Kang], Ren, S.[Sheng], Hu, M.[Min], Shen, M.[Minxue], Chen, X.[Xiang], Guo, H.[Haifu],
Traffic Data-Empowered XGBoost-LSTM Framework for Infectious Disease Prediction,
ITS(25), No. 1, January 2024, pp. 774-785.
IEEE DOI 2402
Infectious diseases, Predictive models, Mathematical models, Data models, Time series analysis, Statistics, Sociology, transportation big data BibRef

Petutschnig, L.[Linda], Clemen, T.[Thomas], Klaußner, E.S.[E. Sophia], Clemen, U.[Ulfia], Lang, S.[Stefan],
Evaluating Geospatial Data Adequacy for Integrated Risk Assessments: A Malaria Risk Use Case,
IJGI(13), No. 2, 2024, pp. 33.
DOI Link 2402
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Abdullah, A.Y.M.[Abu Yousuf Md], Law, J.[Jane],
Bayesian Shared Component Spatial Modeling for Assessing the Shared and Age Group-Specific Mental Health Disorder Risk of Young and Old Age Groups: A Case Study of Toronto Neighborhoods, Canada,
IJGI(13), No. 3, 2024, pp. 75.
DOI Link 2404
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Wang, Y.F.[Yu-Feng], Chen, X.[Xue], Xue, F.[Feng],
A Review of Bayesian Spatiotemporal Models in Spatial Epidemiology,
IJGI(13), No. 3, 2024, pp. 97.
DOI Link 2404
patterns and determinants of outcomes over space and time. BibRef

Gao, F.[Feng], Lu, S.[Siyi], Liao, S.[Shunyi], Chen, W.Y.[Wang-Yang], Chen, X.[Xin], Wu, J.[Jiemin], Wu, Y.J.[Yun-Jing], Li, G.[Guanyao], Han, X.[Xu],
AED Inequity among Social Groups in Guangzhou,
IJGI(13), No. 4, 2024, pp. 140.
DOI Link 2405
BibRef

Yang, T.[Taohua], Luo, W.[Weicong], Tian, L.L.[Ling-Ling], Li, J.P.[Jin-Peng],
Integrating Spatial and Non-Spatial Dimensions to Evaluate Access to Rural Primary Healthcare Service: A Case Study of Songzi, China,
IJGI(13), No. 5, 2024, pp. 142.
DOI Link 2405
BibRef

Chen, Y.Q.[Yu-Qiao], Li, B.[Bozhao], Liu, S.[Songcao], Cai, Z.L.[Zhong-Liang],
Exploring the Impact of Public Health Emergencies on Urban Vitality Using a Difference-In-Difference Model,
RS(16), No. 10, 2024, pp. 1697.
DOI Link 2405
BibRef

Li, H.Y.[Hong-Yan], Li, R.[Rui], Cai, J.[Jing], Wang, S.[Shunli],
The Spatial Equilibrium Model of Elderly Care Facilities with High Spatiotemporal Sensitivity and Its Economic Associations Study,
IJGI(13), No. 8, 2024, pp. 268.
DOI Link 2408
BibRef

Tao, Z.L.[Zhuo-Lin], Zhong, Q.Y.[Qian-Yu], Dang, Y.[Yinuo],
A Maximal Multimodal Accessibility Equality Model to Optimize the Equality of Healthcare Services,
IJGI(13), No. 8, 2024, pp. 278.
DOI Link 2408
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Alrasheed, H.[Hend], Alballa, N.[Norah], Al-Turaiki, I.[Isra], Almutlaq, F.[Fahad], Alabduljabbar, R.[Reham],
City Transmission Networks: Unraveling Disease Spread Dynamics,
IJGI(13), No. 8, 2024, pp. 283.
DOI Link 2408
BibRef

Zhao, Y.[Yuan], Zhou, Y.[Ying],
Isochrone-Based Accessibility Analysis of Pre-Hospital Emergency Medical Facilities: A Case Study of Central Districts of Beijing,
IJGI(13), No. 8, 2024, pp. 288.
DOI Link 2408
BibRef

Zhang, X.Y.[Xiao-Yi], Usman, M.[Muhammad], ur Rehman-Irshad, A.[Ateeq], Rashid, M.[Mudassar], Khattak, A.[Amira],
Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan,
IJGI(13), No. 9, 2024, pp. 330.
DOI Link 2410
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Goodman, S.[Seth], Ben Yishay, A.[Ariel], Runfola, D.[Daniel],
Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery,
RS(16), No. 18, 2024, pp. 3411.
DOI Link 2410
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Bouajaja, I.[Ismail], Bouattane, O.[Omar], Barakat, O.[Oussama], Robert-Nicoud, S.[Stephan],
Towards a Generic Data-Driven Model for Optimal Health Service,
ISCV24(1-8)
IEEE DOI 2408
Analytical models, Computational modeling, Sociology, Medical services, Mathematical models, Data models, Healthcare Disparities BibRef

Pedrosa, N.[Nuno], Gouveia, S.[Sónia],
Mortality Prediction via Logistic Regression in Intensive Care Unit Patients with Pneumonia,
CIARP23(II:30-44).
Springer DOI 2312
BibRef

Nik, A.H.Z.[Alireza Hossein Zadeh], Riegler, M.A.[Michael A.], Halvorsen, P.[Pål], Storås, A.M.[Andrea M.],
Generation of Synthetic Tabular Healthcare Data Using Generative Adversarial Networks,
MMMod23(I: 434-446).
Springer DOI 2304
BibRef

Kuznetsov, I., Panidi, E., Kikin, P., Kolesnikov, A., Korovka, V., Galkin, V.,
Issues of Geographic Information Systems and Thematic Mapping Application to Analysis of Epidemiological Situation in Large Cities,
ISPRS21(B4-2021: 287-292).
DOI Link 2201
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El Fadili, H., Mazri, T.,
Network Attacks Related To Smart Healthcare and Their Impact Evaluation,
SmartCityApp21(197-203).
DOI Link 2201
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Yadav, S.[Shweta], Sain, J.P.[Joy Prakash], Sheth, A.[Amit], Ekbal, A.[Asif], Saha, S.[Sriparna], Bhattacharyya, P.[Pushpak],
Assessing the Severity of Health States based on Social Media Posts,
ICPR21(5728-5735)
IEEE DOI 2105
Social networking (online), Natural language processing, Internet, Data mining, Task analysis, Context modeling, Diseases, Biomedical Natural Language Processing BibRef

Oteiza, T.P.[T. Perez], Kelly, L., Mooney, P.,
Using Contextual Cues In Understanding Urban Mental Well-being,
SmartCity21(85-89).
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Plaß, B., Prudhomme, C., Ponciano, J.J.,
BIM on Artificial Intelligence for Decision Support In E-health,
ISPRS21(B2-2021: 207-214).
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Li, J.[Jing], Wu, B.[Botong], Sun, X.W.[Xin-Wei], Wang, Y.Z.[Yi-Zhou],
Causal Hidden Markov Model for Time Series Disease Forecasting,
CVPR21(12100-12109)
IEEE DOI 2111
Correlation, Time series analysis, Hidden Markov models, Medical treatment, Predictive models, Linear programming, Pattern recognition BibRef

Kasaie, A.[Alireza], Kim, J.H.[Jung Hyup], Guo, W.B.[Wen-Bin], Nazareth, R.[Roland], Shotton, T.[Thomas], Despins, L.[Laurel],
Different Patterns of Medication Administration Between Inside and Outside the Patient Room Using Electronic Medical Record Log Data,
DHM21(II:86-95).
Springer DOI 2108
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Kurniawan, J.[Jessica], Duffy, V.G.[Vincent G.],
Systematic Review of the Importance of Human Factors in Incorporating Healthcare Automation,
DHM21(II:96-110).
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Nishimoto, H.[Hiroyuki],
Scenario Planning in Healthcare Development in the VUCA World,
DHM21(II:111-125).
Springer DOI 2108
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Niu, X.Y.[Xue-Ying],
The Digital Dilemma and the Healthy Nation,
DHM21(II:126-134).
Springer DOI 2108
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Zanella-Calzada, L.A.[Laura A.], Galván-Tejada, C.E.[Carlos E.], Chávez-Lamas, N.M.[Nubia M.], Villagrana-Bañuelos, K.E.[Karen E.], Galván-Tejada, J.I.[Jorge I.], Gamboa-Rosales, H.[Hamurabi],
Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest,
MCPR21(325-334).
Springer DOI 2108
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Colic, N.[Nicola], Beeler, P.[Patrick], Csajka, C.[Chantal], Foufi, V.[Vasiliki], Gaspar, F.[Frederic], Le Pogam, M.A.[Marie-Annick], Lisibach, A.[Angela], Lovis, C.[Christian], Lutters, M.[Monika], Rinaldi, F.[Fabio],
Automated Detection of Adverse Drug Events from Older Patients' Electronic Medical Records Using Text Mining,
AIHA20(203-211).
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Pala, D., Annovazzi-Lodi, L., Bellazzi, R., Fiscante, N., Franzini, M., Larizza, C., Pogliaghi, A., Raso, L., Rocca, M.T., Sapio, F., Casella, V.,
The Key Role of Geographic Information In Exposomics: The Example Of The H2020 Pulse Project,
ISPRS20(B4:283-289).
DOI Link 2012
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Casella, V., Franzini, M., Rocca, M.T., Pogliaghi, A., Fiscante, N., Raso, L., Sapio, F.,
Customized WebGIS Solutions for Exposomics,
ISPRS20(B3:1431-1438).
DOI Link 2012
Quantifying the effects on human health of all the factors influencing it except genetic. BibRef

Kuznetsov, I., Panidi, E., Kolesnikov, A., Kikin, P., Korovka, V., Galkin, V.,
GIS-based Infectious Disease Data Management on A City Scale, Case Study of St. Petersburg, Russia,
ISPRS20(B3:1463-1467).
DOI Link 2012
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Kuznetsov, I., Panidi, E., Korovka, V., Galkin, V., Voronov, D.,
Web-based Representation and Management of Infectious Disease Data on A City Scale, Case Study of St. Petersburg, Russia,
Gi4DM20(87-91).
DOI Link 2012
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Nabila, A., Mohamed, E.,
An enhanced backoff strategy for fair channel access in WBAN-based health monitoring systems,
ISCV20(1-4)
IEEE DOI 2011
body area networks, carrier sense multiple access, collision avoidance, Zigbee, equitable access, beacon-enabled mode, Equitable access. BibRef

DeMets, S., Ziemann, A., Manore, C., Russell, C.,
Improving mosquito population predictions in the Greater Toronto Area using remote sensing imagery,
SSIAI20(78-81)
IEEE DOI 2009
diseases, geophysical image processing, microorganisms, rain, remote sensing, time series, vegetation, breeding space, disease forecasting BibRef

Spasenovic, K., Carrion, D.,
Quality Check of Crisis Maps Produced Over Five Years By Copernicus Ems,
ISSDQ19(1263-1268).
DOI Link 1912
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Esmaeilzadeh, A., Delavar, M.R., Nasli-Esfahani, E.,
Assessment of The Effects of Air Pollutants On Blood Glucose Control In Patients With Type 2 Diabetes,
SMPR19(349-353).
DOI Link 1912
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El-Yasha, S.R., Rizky, M., Wibowo, T.W., Sudaryatno,
Spatial Analysis of Poverty and Happiness Profiles in Special Region Of Yogyakarta Using Small Area Estimation Method,
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Neisani Samani, Z., Alesheikh, A.A.,
Uncertainty Modelling of Citizen-centered Group Decision Making Using Fuzzy-vikor Case Study: Site Selection of Healthcare Services,
SMPR19(809-814).
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Kolesnikov, A.A., Kikin, P.M., Portnov, A.M.,
Diseases Spread Prediction in Tropical Areas By Machine Learning Methods Ensembling and Spatial Analysis Techniques,
Gi4DM19(221-226).
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Sato, T.[Tomohiro], Dao, M.S.[Minh-Son], Kuribayashi, K.[Kota], Zettsu, K.[Koji],
SEPHLA: Challenges and Opportunities Within Environment-Personal Health Archives,
MMMod19(I:325-337).
Springer DOI 1901
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Barros, P.H.[Pedro H.], Lima, B.G.C.[Bruno G. C.], Crispim, F.C.[Felipe C.], Vieira, T.[Tiago], Missier, P.[Paolo], Fonseca, B.[Baldoino],
Analyzing Social Network Images with Deep Learning Models to Fight Zika Virus,
ICIAR18(605-610).
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Grottenberg, L.O., Njå, O., Tøssebro, E., Braut, G.S., Tønnessen, R., Grøneng, G.M.,
Detecting Flu Outbreaks Based On Spatiotemporal Information From Urban Systems: Designing A Novel Study,
Gi4DM18(231-237).
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de Clercq, E.M., Vanwambeke, S.O.,
Classification of anthropogenic landscapes,
MultiTemp17(1-4)
IEEE DOI 1712
Mapping disease locations. diseases, land cover, phenology, vegetation, anthropogenic landscape classification, cloud-free images, time series analysis BibRef

Izzah, L.N., Majid, Z., Ariff, M.A.M., Fook, C.K.,
Geospatial Analysis of Urban Land Use Pattern Analysis for Hemorrhagic Fever Risk: A Review,
GGT16(37-53).
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Abdul Rasam, A.R., Shariff, N.M., Dony, J.F.,
Identifying High-Risk Populations of Tuberculosis Using Environmental Factors and GIS Based Multi-Criteria Decision Making Method,
GGT16(9-13).
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Wrable, M., Liss, A., Kulinkina, A., Koch, M., Biritwum, N.K., Ofosu, A., Kosinski, K.C., Gute, D.M., Naumova, E.N.,
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ISPRS16(B8: 215-221).
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Stochastic Coloured Petrinet Based Healthcare Infrastructure Interdependency Model,
ISPRS16(B8: 223-229).
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Spatial Distrubiton Of Children Treated By Cancer In Zonguldak, Turkey,
ISPRS16(B8: 231-236).
DOI Link 1610
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Vignolles, C.[Cécile], Sauerborn, R.[Rainer], Dambach, P.[Peter], Viel, C.[Christian], Soubeyroux, J.M.[Jean-Michel], Sié, A.[Ali], Rogier, C.[Christophe], Tourre, Y.M.[Yves M.],
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ISPRS16(B8: 237-242).
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Kulinkina, A.V., Walz, Y., Liss, A., Kosinski, K.C., Biritwum, N.K., Naumova, E.N.,
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ISPRS16(B8: 203-208).
DOI Link 1610
BibRef

Ferreira, M.C., Ferreira, M.F.M.,
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ISPRS16(B8: 197-201).
DOI Link 1610
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Faruque, F.S., Finley, R.W.,
Geographic Medical History: Advances In Geospatial Technology Present New Potentials In Medical Practice,
ISPRS16(B8: 191-195).
DOI Link 1610
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Nik Hisamuddin, R., Ruslan, R., Syed Hatim, N., Sharifah Mastura, S.M.,
A Combination of Geospatial and Clinical Analysis in Predicting Disability Outcome After Road Traffic Injury (RTI) in a District in Malaysia,
GGT16(361-365).
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Ho, C.C.[Chiung Ching], Ting, C.Y.[Choo-Yee],
Time Series Analysis and Forecasting of Dengue Using Open Data,
IVIC15(51-63).
Springer DOI 1511
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Atay, H., Toz, G.,
Spatial Analysis Based Health and Safety Risk Assessment for Linear Construction Projects,
ISPRS12(XXXIX-B8:77-82).
DOI Link 1209
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Kiang, R.K., Soebiyanto, R.P.,
Mapping The Risks of Malaria, Dengue and Influenza Using Satellite Data,
ISPRS12(XXXIX-B8:83-86).
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Bouden, M.[Mondher], Moulin, B.[Bernard],
Multi-level geosimulation of zoonosis propagation: A multi-agent and climate sensitive tool for risk management in public health,
CGC10(305).
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Boulos, M.N.K.[Maged N. Kamel],
Novel Emergency/public Health Situation Rooms And More Using 4-D GIS,
VCGVA09(xx-yy). 0910
Public health, emergency preparedness, 3-D mirror worlds, 3-D virtual worlds, geo-mashups, GIS, Internet BibRef

Belsis, P., Vassis, D., Gritzalis, S., Skourlas, C.,
W-EHR: A Wireless Distributed Framework for Secure Dissemination of Electronic Healthcare Records,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
GIS: for COVID Specific Tracking, Spread, Analysis .


Last update:Sep 28, 2024 at 17:47:54