22.8.11.1 GIS: GIS for Medical Applications, COVID Specific Tracking, Spread, Analysis

Chapter Contents (Back)
GIS. Covid. GIS, Applications.
See also Pneumonia, Lung Analysis, Flu, COVID.

Fan, C.[Cheng], Li, Y.[Ying], Guang, J.[Jie], Li, Z.Q.[Zheng-Qiang], Elnashar, A.[Abdelrazek], Allam, M.[Mona], de Leeuw, G.[Gerrit],
The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Nichol, J.E.[Janet E.], Bilal, M.[Muhammad], Ali, M.A.[Md. Arfan], Qiu, Z.F.[Zhong-Feng],
Air Pollution Scenario over China during COVID-19,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Zhang, K.[Kainan], de Leeuw, G.[Gerrit], Yang, Z.Q.A.[Zhi-Qi-Ang], Chen, X.[Xingfeng], Jiao, J.S.[Jia-Shuang],
The Impacts of the COVID-19 Lockdown on Air Quality in the Guanzhong Basin, China,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Javed, Z.[Zeeshan], Wang, Y.H.[Yu-Hang], Xie, M.J.[Ming-Jie], Tanvir, A.[Aimon], Rehman, A.[Abdul], Ji, X.G.[Xiang-Guang], Xing, C.Z.[Cheng-Zhi], Shakoor, A.[Awais], Liu, C.[Cheng],
Investigating the Impacts of the COVID-19 Lockdown on Trace Gases Using Ground-Based MAX-DOAS Observations in Nanjing, China,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Peng, Z.H.[Zheng-Hong], Wang, R.[Ru], Liu, L.[Lingbo], Wu, H.[Hao],
Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Thakar, V.[Vaishnavi],
Unfolding Events in Space and Time: Geospatial Insights into COVID-19 Diffusion in Washington State during the Initial Stage of the Outbreak,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Wang, Z.H.[Zhi-Huan], Yao, M.Y.[Meng-Yuan], Meng, C.G.[Chen-Guang], Claramunt, C.[Christophe],
Risk Assessment of the Overseas Imported COVID-19 of Ocean-Going Ships Based on AIS and Infection Data,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Zheng, N., Du, S., Wang, J., Zhang, H., Cui, W., Kang, Z., Yang, T., Lou, B., Chi, Y., Long, H., Ma, M., Yuan, Q., Zhang, S., Zhang, D., Ye, F., Xin, J.,
Predicting COVID-19 in China Using Hybrid AI Model,
Cyber(50), No. 7, July 2020, pp. 2891-2904.
IEEE DOI 2006
Epidemics, Viruses (medical), Predictive models, Market research, Analytical models, Natural language processing, natural language processing (NLP) BibRef

Zhang, Z.J.[Zhi-Jie], Arshad, A.[Arfan], Zhang, C.[Chuanrong], Hussain, S.[Saddam], Li, W.D.[Wei-Dong],
Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Brito, P.L.[Patricia Lustosa], Kuffer, M.[Monika], Koeva, M.[Mila], Pedrassoli, J.C.[Julio Cesar], Wang, J.[Jiong], Costa, F.[Federico], Dias de Freitas, A.[Anderson],
The Spatial Dimension of COVID-19: The Potential of Earth Observation Data in Support of Slum Communities with Evidence from Brazil,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Liu, Y.[Yanwen], He, Z.Y.[Zong-Yi], Zhou, X.[Xia],
Space-Time Variation and Spatial Differentiation of COVID-19 Confirmed Cases in Hubei Province Based on Extended GWR,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Antoniou, V.[Varvara], Vassilakis, E.[Emmanuel], Hatzaki, M.[Maria],
Is Crowdsourcing a Reliable Method for Mass Data Acquisition? The Case of COVID-19 Spread in Greece During Spring 2020,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Barragan, R.[Ruben], Molero, F.[Francisco], Granados-Muoz, M.J.[Mara Jos], Salvador, P.[Pedro], Pujadas, M.[Manuel], Artano, B.[Begoa],
Feasibility of Ceilometers Data to Estimate Radiative Forcing Values: Application to Different Conditions around the COVID-19 Lockdown Period,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Huang, J.W.[Jian-Wei], Kwan, M.P.[Mei-Po], Kan, Z.[Zihan], Wong, M.S.[Man Sing], Kwok, C.Y.T.[Coco Yin Tung], Yu, X.Y.[Xin-Yu],
Investigating the Relationship between the Built Environment and Relative Risk of COVID-19 in Hong Kong,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Gianquintieri, L.[Lorenzo], Brovelli, M.A.[Maria Antonia], Pagliosa, A.[Andrea], Dassi, G.[Gabriele], Brambilla, P.M.[Piero Maria], Bonora, R.[Rodolfo], Sechi, G.M.[Giuseppe Maria], Caiani, E.G.[Enrico Gianluca],
Mapping Spatiotemporal Diffusion of COVID-19 in Lombardy (Italy) on the Base of Emergency Medical Services Activities,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Huang, X.[Xiao], Li, Z.L.[Zhen-Long], Lu, J.Y.[Jun-Yu], Wang, S.C.[Si-Cheng], Wei, H.X.[Han-Xue], Chen, B.X.[Bai-Xu],
Time-Series Clustering for Home Dwell Time during COVID-19: What Can We Learn from It?,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Edwards, C.[Chris],
Coalition of the Willing Takes Aim at COVID-19,
CACM(64), No. 1, January 2021, pp. 19-21. 2012

DOI Link COVID Data and privacy BibRef

Gan, T.[Tian], Li, W.F.[Wei-Feng], He, L.[Linghui], Li, J.[Jian],
Intracity Pandemic Risk Evaluation Using Mobile Phone Data: The Case of Shanghai during COVID-19,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Kim, J.[Junghwan], Kwan, M.P.[Mei-Po],
An Examination of People's Privacy Concerns, Perceptions of Social Benefits, and Acceptance of COVID-19 Mitigation Measures That Harness Location Information: A Comparative Study of the U.S. and South Korea,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Ojagh, S.[Soroush], Saeedi, S.[Sara], Liang, S.H.L.[Steve H. L.],
A Person-to-Person and Person-to-Place COVID-19 Contact Tracing System Based on OGC IndoorGML,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Jawak, S.D.[Shridhar D.], Andersen, B.N.[Bo N.], Pohjola, V.A.[Veijo A.], Gody, .[ystein], Hbner, C.[Christiane], Jennings, I.[Inger], Ignatiuk, D.[Dariusz], Holmn, K.[Kim], Sivertsen, A.[Agnar], Hann, R.[Richard], Tmmervik, H.[Hans], Kb, A.[Andreas], Blaszczyk, M.[Malgorzata], Salzano, R.[Roberto], Luks, B.[Bartlomiej], Hgda, K.A.[Kjell Arild], Storvold, R.[Rune], Nilsen, L.[Lennart], Salvatori, R.[Rosamaria], Krishnan, K.P.[Kottekkatu Padinchati], Chatterjee, S.[Sourav], Lorentzen, D.A.[Dag A.], Erlandsson, R.[Rasmus], Lauknes, T.R.[Tom Rune], Malnes, E.[Eirik], Karlsen, S.R.[Stein Rune], Enomoto, H.[Hiroyuki], Fjraa, A.M.[Ann Mari], Zhang, J.[Jie], Marty, S.[Sabine], Nygrd, K.O.[Knut Ove], Lihavainen, H.[Heikki],
SIOS's Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Willberg, E.[Elias], Jrv, O.[Olle], Visnen, T.[Tuomas], Toivonen, T.[Tuuli],
Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Prez-Arnal, R.[Raquel], Conesa, D.[David], Alvarez-Napagao, S.[Sergio], Suzumura, T.[Toyotaro], Catal, M.[Mart], Alvarez-Lacalle, E.[Enrique], Garcia-Gasulla, D.[Dario],
Comparative Analysis of Geolocation Information through Mobile-Devices under Different COVID-19 Mobility Restriction Patterns in Spain,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link 2103
BibRef

de Oliveira, G.L.A.[Gisliany Lillian Alves], Lima, L.[Luciana], Silva, I.[Ivanovitch], Ribeiro-Dantas, M.D.[Marcel Da_Cmara], Monteiro, K.H.[Kayo Henrique], Endo, P.T.[Patricia Takako],
Evaluating Social Distancing Measures and Their Association with the Covid-19 Pandemic in South America,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Mller, H.[Hartmut], Louwsma, M.[Marije],
The Role of Spatio-Temporal Information to Govern the COVID-19 Pandemic: A European Perspective,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Purwanto, P.[Purwanto], Utaya, S.[Sugeng], Handoyo, B.[Budi], Bachri, S.[Syamsul], Astuti, I.S.[Ike Sari], Utomo, K.S.B.[Kresno Sastro Bangun], Aldianto, Y.E.[Yulius Eka],
Spatiotemporal Analysis of COVID-19 Spread with Emerging Hotspot Analysis and Space-Time Cube Models in East Java, Indonesia,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Qiu, Z.F.[Zhong-Feng], Ali, M.A.[Md. Arfan], Nichol, J.E.[Janet E.], Bilal, M.[Muhammad], Tiwari, P.[Pravash], Habtemicheal, B.A.[Birhanu Asmerom], Almazroui, M.[Mansour], Mondal, S.K.[Sanjit Kumar], Mazhar, U.[Usman], Wang, Y.[Yu], Sarker, S.[Sajib], Mustafa, F.[Farhan], Rahman, M.A.[Muhammad Ashfaqur],
Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Song, Z.[Zigeng], Bai, Y.[Yan], Wang, D.F.[Di-Feng], Li, T.[Teng], He, X.Q.[Xian-Qiang],
Satellite Retrieval of Air Pollution Changes in Central and Eastern China during COVID-19 Lockdown Based on a Machine Learning Model,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Elshorbany, Y.F.[Yasin F.], Kapper, H.C.[Hannah C.], Ziemke, J.R.[Jerald R.], Parr, S.A.[Scott A.],
The Status of Air Quality in the United States During the COVID-19 Pandemic: A Remote Sensing Perspective,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Ibrahim, S.[Saleem], Landa, M.[Martin], Peek, O.[Ondrej], Pavelka, K.[Karel], Halounova, L.[Lena],
Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Cai, Z.N.[Zhao-Nan], Che, K.[Ke], Liu, Y.[Yi], Yang, D.X.[Dong-Xu], Liu, C.[Cheng], Yue, X.[Xu],
Decreased Anthropogenic CO2 Emissions during the COVID-19 Pandemic Estimated from FTS and MAX-DOAS Measurements at Urban Beijing,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Zhou, M.Q.[Min-Qiang], Jiang, J.Y.[Jing-Yi], Langerock, B.[Bavo], Dils, B.[Bart], Sha, M.K.[Mahesh Kumar], de Mazire, M.[Martine],
Change of CO Concentration Due to the COVID-19 Lockdown in China Observed by Surface and Satellite Observations,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Tanvir, A.[Aimon], Javed, Z.[Zeeshan], Jian, Z.[Zhu], Zhang, S.[Sanbao], Bilal, M.[Muhammad], Xue, R.[Ruibin], Wang, S.S.[Shan-Shan], Bin, Z.[Zhou],
Ground-Based MAX-DOAS Observations of Tropospheric NO2 and HCHO During COVID-19 Lockdown and Spring Festival Over Shanghai, China,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Yu, X.Y.[Xin-Yu], Wong, M.S.[Man Sing], Kwan, M.P.[Mei Po], Nichol, J.E.[Janet Elizabeth], Zhu, R.[Rui], Heo, J.[Joon], Chan, P.W.[Pak Wai], Chin, D.C.W.[David C. W.], Kwok, C.Y.T.[Coco Yin Tung], Kan, Z.[Zihan],
COVID-19 Infection and Mortality: Association with PM2.5 Concentration and Population Density: An Exploratory Study,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Li, Q.[Qiulun], Zhu, Q.[Qingyang], Xu, M.[Muwu], Zhao, Y.[Yu], Narayan, K.M.V.[K. M. Venkat], Liu, Y.[Yang],
Estimating the Impact of COVID-19 on the PM2.5 Levels in China with a Satellite-Driven Machine Learning Model,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Lu, D.B.[De-Bin], Mao, W.[Wanliu], Zheng, L.[Lilin], Xiao, W.[Wu], Zhang, L.[Liang], Wei, J.[Jing],
Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta Using Machine Learning and Big Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Sun, Y.[Yeran], Huang, Y.[Ying], Yuan, K.[Ke], Chan, T.O.[Ting On], Wang, Y.[Yu],
Spatial Patterns of COVID-19 Incidence in Relation to Crime Rate Across London,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Yang, M.J.[Meng-Jie], Chen, Z.[Zhe], Zhou, M.J.[Meng-Jie], Liang, X.J.[Xiao-Jin], Bai, Z.[Ziyue],
The Impact of COVID-19 on Crime: A Spatial Temporal Analysis in Chicago,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Straka, W.[William], Kondragunta, S.[Shobha], Wei, Z.G.[Zi-Gang], Zhang, H.[Hai], Miller, S.D.[Steven D.], Watts, A.[Alexander],
Examining the Economic and Environmental Impacts of COVID-19 Using Earth Observation Data,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Avtar, R.[Ram], Singh, D.[Deepak], Umarhadi, D.A.[Deha Agus], Yunus, A.P.[Ali P.], Misra, P.[Prakhar], Desai, P.N.[Pranav N.], Kouser, A.[Asma], Kurniawan, T.A.[Tonni Agustiono], Phanindra, K.[KBVN],
Impact of COVID-19 Lockdown on the Fisheries Sector: A Case Study from Three Harbors in Western India,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Yan, Y.[Yiran], Wang, X.[Xingping],
Global Contraction and Local Strengthening of Firms' Supply and Sales Logistics Networks in the Context of COVID-19: Evidence from the Development Zones in Weifang, China,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

de Cos, O.[Olga], Castillo, V.[Valentn], Cantarero, D.[David],
Differencing the Risk of Reiterative Spatial Incidence of COVID-19 Using Space-Time 3D Bins of Geocoded Daily Cases,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Li, W.[Weirong], Sun, K.[Kai], Zhu, Y.Q.[Yun-Qiang], Song, J.[Jia], Yang, J.[Jie], Qian, L.[Lang], Wang, S.[Shu],
Analyzing the Research Evolution in Response to COVID-19,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Beecham, R.[Roger], Dykes, J.[Jason], Hama, L.[Layik], Lomax, N.[Nik],
On the Use of 'Glyphmaps' for Analysing the Scale and Temporal Spread of COVID-19 Reported Cases,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Braca, P.[Paolo], Gaglione, D.[Domenico], Marano, S.[Stefano], Millefiori, L.M.[Leonardo Maria], Willett, P.[Peter], Pattipati, K.R.[Krishna R.],
Quickest Detection of COVID-19 Pandemic Onset,
SPLetters(28), 2021, pp. 683-687.
IEEE DOI 2104
COVID-19, Pandemics, Delays, Standards, Space technology, Maximum likelihood estimation, Tools, COVID-19 pandemic, MAST, quickest detection BibRef

Jahmunah, V.[Vicnesh], Sudarshan, V.K.[Vidya K.], Oh, S.L.[Shu Lih], Gururajan, R.[Raj], Gururajan, R.[Rashmi], Zhou, X.[Xujuan], Tao, X.H.[Xiao-Hui], Faust, O.[Oliver], Ciaccio, E.J.[Edward J.], Ng, K.H.[Kwan Hoong], Acharya, U.R.[U. Rajendra],
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science,
IJIST(31), No. 2, 2021, pp. 455-471.
DOI Link 2105
contact tracing, coronavirus disease, COVID-19, deep learning, digital tools, intelligent internet of things, wearable devices BibRef

Zhou, Z.Q.[Zhen-Qi], Xu, Z.[Zhen], Liu, A.Q.[An-Qi], Zhou, S.[Shuang], Mu, L.[Lan], Zhang, X.[Xuan],
Mapping the Accessibility of Medical Facilities of Wuhan during the COVID-19 Pandemic,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Jiang, Y.Q.[Yu-Qin], Huang, X.[Xiao], Li, Z.L.[Zhen-Long],
Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Baron, A.F.[Anne-Flore], Boulant, O.[Olivier], Panico, I.[Ivan], Vayatis, N.[Nicolas],
A Compartmental Epidemiological Model Applied to the Covid-19 Epidemic,
IPOL(11), 2021, pp. 105-119.
DOI Link 2106
Code, Epidemic Model. BibRef

Liu, L.[Lingbo], Hu, T.[Tao], Bao, S.M.[Shu-Ming], Wu, H.[Hao], Peng, Z.H.[Zheng-Hong], Wang, R.[Ru],
The Spatiotemporal Interaction Effect of COVID-19 Transmission in the United States,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Luo, M.[Minghai], Qin, S.[Sixian], Tan, B.[Bo], Cai, M.M.[Ming-Ming], Yue, Y.[Yufeng], Xiong, Q.Q.[Qiang-Qiang],
Population Mobility and the Transmission Risk of the COVID-19 in Wuhan, China,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Meng, Y.[Yuan], Wong, M.S.[Man Sing], Xing, H.[Hanfa], Kwan, M.P.[Mei-Po], Zhu, R.[Rui],
Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage COVID-19 Incidence: Evidence from 231 Countries and Regions,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Huang, J.W.[Jian-Wei], Kwan, M.P.[Mei-Po], Kim, J.[Junghwan],
How Culture and Sociopolitical Tensions Might Influence People's Acceptance of COVID-19 Control Measures That Use Individual-Level Georeferenced Data,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Castro, D.A.[David Alvarez], Ford, A.[Alistair],
3D Agent-Based Model of Pedestrian Movements for Simulating COVID-19 Transmission in University Students,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Yu, H.C.[Han-Chen], Li, J.W.[Jing-Wei], Bardin, S.[Sarah], Gu, H.Y.[Heng-Yu], Fan, C.J.[Chen-Jing],
Spatiotemporal Dynamic of COVID-19 Diffusion in China: A Dynamic Spatial Autoregressive Model Analysis,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Huang, Z.C.[Ze-Chun],
Spatiotemporal Evolution Patterns of the COVID-19 Pandemic Using Space-Time Aggregation and Spatial Statistics: A Global Perspective,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Carballada, A.M.[Angel Miramontes], Balsa-Barreiro, J.[Jose],
Geospatial Analysis and Mapping Strategies for Fine-Grained and Detailed COVID-19 Data with GIS,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zheng, A.[Anran], Wang, T.[Tao], Li, X.J.[Xiao-Juan],
Spatiotemporal Characteristics and Risk Factors of the COVID-19 Pandemic in New York State: Implication of Future Policies,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Alamri, A.[Abdullah],
Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Romeo, L.[Luca], Frontoni, E.[Emanuele],
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign,
PR(121), 2022, pp. 108197.
Elsevier DOI 2109
COVID-19, Vaccination, Machine learning, XGBoost, Clinical decision support system, Model interpretability BibRef

Qiu, Q.[Qihang], Zuo, Y.[Yifan], Zhang, M.[Mu],
Can Live Streaming Save the Tourism Industry from a Pandemic? A Study of Social Media,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Dash, S.[Sujata], Chakraborty, C.[Chinmay], Giri, S.K.[Sourav K.], Pani, S.K.[Subhendu Kumar],
Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics,
PRL(151), 2021, pp. 69-75.
Elsevier DOI 2110
Facebook Prophet Model, Changepoints, Infectious Disease, Pandemics, Logistic growth function, High Incidence, Additive model BibRef

Ma, Y.L.[Yan-Li], Li, Z.H.[Zhong-Hua], Gou, J.X.[Ji-Xiang], Ding, L.H.[Li-Hua], Yang, D.[Dong], Feng, G.[Guiliang],
Adoption of improved neural network blade pattern recognition in prevention and control of corona virus disease-19 pandemic,
PRL(151), 2021, pp. 275-280.
Elsevier DOI 2110
Improved neural network blade model, Corona virus disease (COVID)-19, Artificial intelligence, Neural network model BibRef

Gao, Y.[Yu], Sun, D.Q.[Dong-Qi], Zhang, J.X.[Jing-Xiang],
Study on the Impact of the COVID-19 Pandemic on the Spatial Behavior of Urban Tourists Based on Commentary Big Data: A Case Study of Nanjing, China,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Ren, H.[Hui], Wang, P.X.[Pei-Xiao], Guo, W.[Wei], Zhu, X.Y.[Xin-Yan],
Exploring the Spatiotemporal Characteristics of COVID-19 Infections among Healthcare Workers: A Multi-Scale Perspective,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Alemdar, K.D.[Kadir Diler], Kaya, .[mer], odur, M.Y.[Muhammed Yasin], Campisi, T.[Tiziana], Tesoriere, G.[Giovanni],
Accessibility of Vaccination Centers in COVID-19 Outbreak Control: A GIS-Based Multi-Criteria Decision Making Approach,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef


Sharma, S.[Sharad], Bodempudi, S.T.[Sri Teja], Reehl, A.[Aishwarya],
Real-Time Data Analytics of COVID Pandemic Using Virtual Reality,
VAMR21(106-116).
Springer DOI 2108
BibRef

Alambo, A.[Amanuel], Padhee, S.[Swati], Banerjee, T.[Tanvi], Thirunarayan, K.[Krishnaprasad],
Covid-19 and Mental Health/substance Use Disorders on Reddit: A Longitudinal Study,
CAIHA20(20-27).
Springer DOI 2103
BibRef

Ennafiri, M., Mazri, T.,
Internet of Things for Smart Healthcare: A Review on A Potential Iot Based System and Technologies to Control Covid-19 Pandemic,
SmartCityApp20(219-225).
DOI Link 2012
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Comai, S., Costa, S., Ventura, S.M.[S. Mastrolembo], Vassena, G., Tagliabue, L.C., Simeone, D., Bertuzzi, E., Scurati, G.W., Ferrise, F., Ciribini, A.L.C.,
Indoor Mobile Mapping System and Crowd Simulation to Support School Reopening Because of Covid-19: A Case Study,
Gi4DM20(29-36).
DOI Link 2012
BibRef

Mezzour, G., Boudanga, Z., Benhadou, S.,
Smart Pandemic Management Through A Smart, Resilient and Flexible Decision-making System,
SmartCityApp20(285-294).
DOI Link 2012
BibRef

Oxoli, D., Jimenez, J.R.C.[J. R. Cedeno], Brovelli, M.A.,
Assessment of Sentinel-5p Performance for Ground-level Air Quality Monitoring: Preparatory Experiments Over the Covid-19 Lockdown Period,
Gi4DM20(111-116).
DOI Link 2012
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
GIS: Database Issues, Implementation Issues, Design .


Last update:Oct 24, 2021 at 16:35:58