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2103
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The Impact of COVID-19 on Crime: A Spatial Temporal Analysis in
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2104
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Straka, W.[William],
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Kurniawan, T.A.[Tonni Agustiono],
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Impact of COVID-19 Lockdown on the Fisheries Sector: A Case Study
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Global Contraction and Local Strengthening of Firms' Supply and Sales
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2108
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de Cos, O.[Olga],
Castillo, V.[Valentín],
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Differencing the Risk of Reiterative Spatial Incidence of COVID-19
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Li, W.R.[Wei-Rong],
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Analyzing the Research Evolution in Response to COVID-19,
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Quickest Detection of COVID-19 Pandemic Onset,
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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.],
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Tao, X.H.[Xiao-Hui],
Faust, O.[Oliver],
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Ng, K.H.[Kwan Hoong],
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Future IoT tools for COVID-19 contact tracing and prediction: A
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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],
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Mapping the Accessibility of Medical Facilities of Wuhan during the
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IJGI(10), No. 5, 2021, pp. xx-yy.
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2106
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Jiang, Y.Q.[Yu-Qin],
Huang, X.[Xiao],
Li, Z.L.[Zhen-Long],
Spatiotemporal Patterns of Human Mobility and Its Association with
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2106
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A Compartmental Epidemiological Model Applied to the Covid-19
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IPOL(11), 2021, pp. 105-119.
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2106
Code, Epidemic Model.
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Liu, L.B.[Ling-Bo],
Hu, T.[Tao],
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The Spatiotemporal Interaction Effect of COVID-19 Transmission in the
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IJGI(10), No. 6, 2021, pp. xx-yy.
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2106
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Luo, M.H.[Ming-Hai],
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Cai, M.M.[Ming-Ming],
Yue, Y.F.[Yu-Feng],
Xiong, Q.Q.[Qiang-Qiang],
Population Mobility and the Transmission Risk of the COVID-19 in
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IJGI(10), No. 6, 2021, pp. xx-yy.
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2106
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Meng, Y.[Yuan],
Wong, M.S.[Man Sing],
Xing, H.[Hanfa],
Kwan, M.P.[Mei-Po],
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Yearly and Daily Relationship Assessment between Air Pollution and
Early-Stage COVID-19 Incidence: Evidence from 231 Countries and
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IJGI(10), No. 6, 2021, pp. xx-yy.
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2106
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Huang, J.W.[Jian-Wei],
Kwan, M.P.[Mei-Po],
Kim, J.[Junghwan],
How Culture and Sociopolitical Tensions Might Influence People's
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IJGI(10), No. 7, 2021, pp. xx-yy.
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2108
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Castro, D.A.[David Alvarez],
Ford, A.[Alistair],
3D Agent-Based Model of Pedestrian Movements for Simulating COVID-19
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IJGI(10), No. 8, 2021, pp. xx-yy.
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2108
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Yu, H.C.[Han-Chen],
Li, J.W.[Jing-Wei],
Bardin, S.[Sarah],
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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
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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.
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2108
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Carballada, A.M.[Angel Miramontes],
Balsa-Barreiro, J.[Jose],
Geospatial Analysis and Mapping Strategies for Fine-Grained and
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2109
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Zheng, A.[Anran],
Wang, T.[Tao],
Li, X.J.[Xiao-Juan],
Spatiotemporal Characteristics and Risk Factors of the COVID-19
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2109
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Alamri, A.[Abdullah],
Semantic-Linked Data Ontologies for Indoor Navigation System in
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Romeo, L.[Luca],
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A Unified Hierarchical XGBoost model for classifying priorities for
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Elsevier DOI
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COVID-19, Vaccination, Machine learning, XGBoost,
Clinical decision support system, Model interpretability
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Qiu, Q.H.[Qi-Hang],
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Can Live Streaming Save the Tourism Industry from a Pandemic? A Study
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Dash, S.[Sujata],
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Intelligent computing on time-series data analysis and prediction of
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Elsevier DOI
2110
Facebook Prophet Model, Changepoints, Infectious Disease,
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Elsevier DOI
2110
Improved neural network blade model,
Corona virus disease (COVID)-19, Artificial intelligence, Neural network model
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Study on the Impact of the COVID-19 Pandemic on the Spatial Behavior
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IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Ren, H.[Hui],
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Exploring the Spatiotemporal Characteristics of COVID-19 Infections
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2110
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Alemdar, K.D.[Kadir Diler],
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2110
BibRef
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Elsevier DOI
2112
COVID-19, Digital health, Audio processing, Computational paralinguistics
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Elsevier DOI
2112
COVID-19, Graph signal model, Group testing, Model-based compressive sensing
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Mapping the Impact of COVID-19 Lockdown on Urban Surface Ecological
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Global Fisheries Responses to Culture, Policy and COVID-19 from 2017
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Alahmadi, M.[Mohammed],
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Using Daily Nighttime Lights to Monitor Spatiotemporal Patterns of
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Elsevier DOI
2112
Anomaly detection, Big data, COVID-19, Directed acyclic graph, Event stream
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Olszewski, R.[Robert],
Kesik-Brodacka, M.[Malgorzta],
The Effects of Climate and Bioclimate on COVID-19 Cases in Poland,
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Ding, C.C.[Cai-Chang],
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PRL(152), 2021, pp. 70-78.
Elsevier DOI
2112
Particle swarm optimization, Susceptible exposed infected recovered model,
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Evaluation of the Optimal Topic Classification for Social Media Data
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IJGI(10), No. 12, 2021, pp. xx-yy.
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2112
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Hu, C.C.[Chun-Chun],
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Topic-Clustering Model with Temporal Distribution for Public Opinion
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Wu, J.S.[Jian-Sheng],
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Analyzing the Contribution of Human Mobility to Changes in Air
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Guo, X.X.[Xiao-Xiang],
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Design and Analysis of a Prediction System About Influenza-Like
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IEEE DOI
2112
Mathematical model, Predictive models, Data models, Internet,
Diseases, Analytical models, multivariate regression
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Airoldi, C.[Chiara],
Bertolotti, M.[Marinella],
Rowinski, M.[Maria],
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Franceschetti, G.[Genny],
Pacileo, G.[Guglielmo],
Maconi, A.[Antonio],
Ferrante, D.[Daniela],
Georeferencing of COVID-19 Positive Nasopharyngeal Swabs to Support
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IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Gopalakrishnan, S.[Sathyanarayanan],
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Central hubs prediction for bio networks by directed hypergraph:
GA with validation to COVID-19 PPI,
PRL(153), 2022, pp. 246-253.
Elsevier DOI
2201
Directed hypergraph, Centrality measures, Degree centrality,
Strong tie, Weak tie, Genetic algorithm, COVID-19
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Malarvizhi, A.S.[Anusha Srirenganathan],
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Sha, D.[Dexuan],
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An Open-Source Workflow for Spatiotemporal Studies with COVID-19 as
an Example,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link
2201
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Chen, M.J.[Mei-Jie],
Chen, Y.M.[Yu-Min],
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Tan, H.Y.[Huang-Yuan],
Chu, T.Y.[Tian-You],
Using an Eigenvector Spatial Filtering-Based Spatially Varying
Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19
and Its Influencing Factors in Mainland China,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Yao, J.Q.[Jia-Qi],
Zhai, H.R.[Hao-Ran],
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Zhu, H.[Hong],
Tang, X.M.[Xin-Ming],
Spatiotemporal Variations of Aerosols in China during the COVID-19
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RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
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Pánek, J.[Jirí],
Falco, E.[Enzo],
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The COVID-19 Crisis and the Case for Online GeoParticipation in
Spatial Planning,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link
2202
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Guo, Z.J.[Zi-Jian],
Liu, X.[Xintao],
Zhao, P.X.[Peng-Xiang],
A Vector Field Approach to Estimating Environmental Exposure Using
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IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link
2202
Total exposure based on mobility.
BibRef
Werner, P.A.[Piotr A.],
Kesik-Brodacka, M.[Malgorzata],
Nowak, K.[Karolina],
Olszewski, R.[Robert],
Kaleta, M.[Mariusz],
Liebers, D.T.[David T.],
Modeling the Spatial and Temporal Spread of COVID-19 in Poland Based
on a Spatial Interaction Model,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Ma, J.F.[Jian-Fang],
Zhu, H.H.[Hai-Hong],
Li, P.[Peng],
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Li, F.[Feng],
Luo, Z.W.[Zhen-Wei],
Zhang, M.H.[Mei-Hui],
Li, L.[Lin],
Spatial Patterns of the Spread of COVID-19 in Singapore and the
Influencing Factors,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Sarkar, S.[Shuchismita],
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Multiple change point clustering of count processes with application
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PRL(157), 2022, pp. 83-89.
Elsevier DOI
2205
Finite mixture modeling, Count process,
Multiple change point estimation, EM algorithm
BibRef
MacTavish, M.[Mia],
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Perspective Charts in a Multi-Foci Globe-Based Visualization of
COVID-19 Data,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Luo, Z.W.[Zhen-Wei],
Li, L.[Lin],
Ma, J.[Jianfang],
Tang, Z.[Zhuo],
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Zhu, H.[Haihong],
Wu, B.[Bin],
Moderating Effect of a Cross-Level Social Distancing Policy on the
Disparity of COVID-19 Transmission in the United States,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Hu, Z.Y.[Zhi-Yuan],
Jin, Q.J.[Qin-Jian],
Ma, Y.Y.[Yuan-Yuan],
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Zhu, X.[Xian],
Dong, W.J.[Wen-Jie],
How Does COVID-19 Lockdown Impact Air Quality in India?,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Cianciosi, A.[Alessandra],
Caval, S.[Saša],
Calaon, D.[Diego],
Seetah, K.[Krish],
Integrated Remote Sensing to Assess Disease Control:
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RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Zarro, C.[Chiara],
Cerra, D.[Daniele],
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Ullo, S.L.[Silvia Liberata],
Reinartz, P.[Peter],
Urban Sprawl and COVID-19 Impact Analysis by Integrating Deep
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RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Liu, Z.M.[Zhi-Min],
Jiang, Z.[Zuodong],
Kip, G.[Geoffrey],
Snigdha, K.[Kirti],
Xu, J.[Jennings],
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Khan, N.[Najat],
Schultz, T.[Timothy],
An infodemiological framework for tracking the spread of SARS-CoV-2
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PRL(158), 2022, pp. 133-140.
Elsevier DOI
2205
Infodemiology, News mining, Word2Vec, Signal burst model,
Google trends, Prophet model
BibRef
Aturinde, A.[Augustus],
Mansourian, A.[Ali],
Space: Time Surveillance of COVID-19 Seasonal Clusters:
A Case of Sweden,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Fall, S.[Souleymane],
Abdalla, E.[Ehsan],
Quansah, J.[Joseph],
Franklin, M.J.[Meghan J.],
Whaley-Omidire, T.[Timmera],
County-Level Assessment of Vulnerability to COVID-19 in Alabama,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Luo, Y.H.[Yu-Hao],
Zhang, H.J.[Heng-Jing],
Liu, H.C.[Heng-Chang],
Towards Fast and Accurate Intimate Contact Recognition through Video
Analysis,
IPTA22(1-6)
IEEE DOI
2206
COVID-19, Image recognition, Costs, Databases, Human factors, Cameras,
Social factors, Contact Tracing, Distance Detection,
Covid-19
BibRef
Han, X.[Xuehua],
Wang, J.[Juanle],
Modelling and Analyzing the Semantic Evolution of Social Media User
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IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Spadon, G.[Gabriel],
Hong, S.[Shenda],
Brandoli, B.[Bruno],
Matwin, S.[Stan],
Rodrigues-Jr, J.F.[Jose F.],
Sun, J.[Jimeng],
Pay Attention to Evolution: Time Series Forecasting With Deep
Graph-Evolution Learning,
PAMI(44), No. 9, September 2022, pp. 5368-5384.
IEEE DOI
2208
Forecasting, Time series analysis, COVID-19, Predictive models,
Evolution (biology), Sun, Recurrent neural networks, Time series,
representation learning
BibRef
Jardim de Figueiredo, C.J.[Ciro José],
de Miranda Mota, C.M.[Caroline Maria],
Dias de Araújo, K.G.[Kaliane Gabriele],
Ferreira Rosa, A.G.[Amanda Gadelha],
Gomes de Souza, A.P.[Arthur Pimentel],
Measuring COVID-19 Vulnerability for Northeast Brazilian
Municipalities: Social, Economic, and Demographic Factors Based on
Multiple Criteria and Spatial Analysis,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Tayarani-Najaran, M.H.[Mohammad-Hassan],
A Novel Ensemble Machine Learning and an Evolutionary Algorithm in
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SMCS(52), No. 10, October 2022, pp. 6362-6372.
IEEE DOI
2209
Prediction algorithms, Pandemics, Uncertainty, Optimization,
Predictive models, COVID-19, Neural networks, Ensemble learning,
policy making
BibRef
Ak, Ç.[Çigdem],
Chitsazan, A.D.[Alex D.],
Gönen, M.[Mehmet],
Etzioni, R.[Ruth],
Grossberg, A.J.[Aaron J.],
Spatial Prediction of COVID-19 Pandemic Dynamics in the United States,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Sarwar Uddin, M.Y.[Md Yusuf],
Rafiq, R.[Rezwana],
Characterizing pandemic waves: A latent class analysis of COVID-19
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PRL(162), 2022, pp. 31-39.
Elsevier DOI
2210
COVID-19 pandemic, Pandemic waves, Spread patterns,
Latent class analysis, Human mobility
BibRef
Zandavi, S.M.[Seid Miad],
Rashidi, T.H.[Taha Hossein],
Vafaee, F.[Fatemeh],
Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM
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Cyber(52), No. 11, November 2022, pp. 11977-11989.
IEEE DOI
2211
Predictive models, COVID-19, Data models, Mathematical models,
Uncertainty, Logic gates, Recurrent neural networks, spread prediction
BibRef
Tabasi, M.[Mohammad],
Alesheikh, A.A.[Ali Asghar],
Kalantari, M.[Mohsen],
Babaie, E.[Elnaz],
Mollalo, A.[Abolfazl],
Spatial Modeling of COVID-19 Prevalence Using Adaptive Neuro-Fuzzy
Inference System,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Majeed, A.[Abdul],
Technical Analysis of Contact Tracing Platform Developed by
Google-Apple for Constraining the Spread of COVID-19,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Tutsoy, O.[Onder],
Pharmacological, Non-Pharmacological Policies and Mutation:
An Artificial Intelligence Based Multi-Dimensional Policy Making
Algorithm for Controlling the Casualties of the Pandemic Diseases,
PAMI(44), No. 12, December 2022, pp. 9477-9488.
IEEE DOI
2212
Artificial intelligence, Pandemics, Vaccines,
Parametric statistics, COVID-19, Computational modeling, mutant virus
BibRef
Yang, X.R.[Xiao-Rui],
Li, W.H.[Wei-Hong],
Chen, Y.B.[Ye-Bin],
Guo, Y.J.[Yun-Jian],
Construction of a COVID-19 Pandemic Situation Knowledge Graph
Considering Spatial Relationships: A Case Study of Guangzhou, China,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Cicala, F.[Fabrizio],
Wang, W.C.[Wei-Cheng],
Wang, T.H.[Tian-Hao],
Li, N.[Ninghui],
Bertino, E.[Elisa],
Liang, F.[Faming],
Yang, Y.[Yang],
PURE: A Framework for Analyzing Proximity-Based Contact Tracing
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Surveys(55), No. 1, January 2023, pp. xx-yy.
DOI Link
2212
Contact tracing, COVID-19
BibRef
Hezam, I.M.[Ibrahim M.],
Almshnanah, A.[Abdulkarem],
Mubarak, A.A.[Ahmed A.],
Das, A.[Amrit],
Foul, A.[Abdelaziz],
Alrasheedi, A.F.[Adel Fahad],
COVID-19 and Rumors: A Dynamic Nested Optimal Control Model,
PR(135), 2023, pp. 109186.
Elsevier DOI
2212
COVID-19, genetic algorithm, KKT, nested optimal control, rumors
BibRef
Li, J.Y.[Jian-Yu],
Deng, X.Y.[Xin-Yi],
Zhan, Z.H.[Zhi-Hui],
Yu, L.[Liang],
Tan, K.C.[Kay Chen],
Lai, K.K.[Kuei-Kuei],
Zhang, J.[Jun],
A Multipopulation Multiobjective Ant Colony System Considering Travel
and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics,
ITS(23), No. 12, December 2022, pp. 25062-25076.
IEEE DOI
2212
Epidemics, Costs, COVID-19, Optimization, Transportation,
Vehicle routing, Statistics, COVID-19, epidemics,
multiple populations for multiple objectives
BibRef
Wang, C.L.[Chun-Lin],
Li, G.Y.[Guo-Yuan],
Han, P.H.[Pei-Hua],
Osen, O.[Ottar],
Zhang, H.X.[Hou-Xiang],
Impacts of COVID-19 on Ship Behaviours in Port Area:
An AIS Data-Based Pattern Recognition Approach,
ITS(23), No. 12, December 2022, pp. 25127-25138.
IEEE DOI
2212
Marine vehicles, Artificial intelligence, Seaports, COVID-19,
Feature extraction, Statistical analysis, Pandemics, COVID-19,
AIS data
BibRef
Smith, K.I.[Kai Ilie],
Shirowzhan, S.[Sara],
A GIS-Based Spatiotemporal Analysis of the Relationship between the
Outbreak of COVID-19, Delta Variant and Construction in Sydney and
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IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link
2301
BibRef
Gharakhanlou, N.M.[Navid Mahdizadeh],
Perez, L.[Liliana],
Geocomputational Approach to Simulate and Understand the Spatial
Dynamics of COVID-19 Spread in the City of Montreal, QC, Canada,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link
2301
BibRef
Tao, Y.D.[Yu-Dong],
Yang, C.[Chuang],
Wang, T.Y.[Tian-Yi],
Coltey, E.[Erik],
Jin, Y.X.[Yan-Xiu],
Liu, Y.H.[Ying-Hao],
Jiang, R.[Renhe],
Fan, Z.[Zipei],
Song, X.[Xuan],
Shibasaki, R.[Ryosuke],
Chen, S.C.[Shu-Ching],
Shyu, M.L.[Mei-Ling],
Luis, S.[Steven],
A Survey on Data-Driven COVID-19 and Future Pandemic Management,
Surveys(55), No. 7, December 2022, pp. xx-yy.
DOI Link
2301
Survey, Covid-10 Management. Data analytics, data visualization, pandemic management, COVID-19
BibRef
Liou, Y.A.[Yuei-An],
Vo, T.H.[Trong-Hoang],
Nguyen, K.A.[Kim-Anh],
Terry, J.P.[James P.],
Air Quality Improvement Following COVID-19 Lockdown Measures and
Projected Benefits for Environmental Health,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
He, Y.Q.[Ya-Qian],
Seminara, P.J.[Paul J.],
Huang, X.[Xiao],
Yang, D.[Di],
Fang, F.[Fang],
Song, C.[Chao],
Geospatial Modeling of Health, Socioeconomic, Demographic, and
Environmental Factors with COVID-19 Incidence Rate in Arkansas, US,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Tao, F.[Fei],
Wu, J.J.[Jun-Jie],
Lin, S.[Shuang],
Lv, Y.Q.[Ya-Qiao],
Wang, Y.[Yu],
Zhou, T.[Tong],
Revealing the Impact of COVID-19 on Urban Residential Travel
Structure Based on Floating Car Trajectory Data: A Case Study of
Nantong, China,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Yu, D.[Demiao],
Huang, X.R.[Xiao-Ran],
Zang, H.Y.[Heng-Yi],
Li, Y.W.[Yuan-Wei],
Qin, Y.C.[Yu-Chen],
Li, D.Y.[Dao-Yong],
Multi-Source Data and Machine Learning-Based Refined Governance for
Responding to Public Health Emergencies in Beijing:
A Case Study of COVID-19,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Yang, D.P.[Da-Ping],
Shi, W.Z.[Wen-Zhong],
Yu, Y.[Yue],
Chen, L.[Liang],
Chen, R.Z.[Rui-Zhi],
Analysis of the Spatial Distribution and Associated Factors of the
Transmission Locations of COVID-19 in the First Four Waves in Hong
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IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Roy, S.[Satyaki],
Bose, P.[Priyankar],
Ghosh, P.[Preetam],
Curbing Pandemic Through Evolutionary Algorithm-Based Priority Aware
Mobility Scheduling,
ITS(24), No. 4, April 2023, pp. 3759-3768.
IEEE DOI
2304
Schedules, Statistics, Sociology, Scheduling, Pandemics,
Evolutionary computation, COVID-19, COVID-19, scheduling
BibRef
Li, R.[Rui],
Erickson, D.[Daniel],
Belcaid, M.[Mareyam],
Chinedu, M.F.[Madu Franklin],
Akanbi, O.O.[Oluwabukola Olufunke],
A Tale of Two Cities: COVID-19 Vaccine Hesitancy as a Result of
Racial, Socioeconomic, Digital, and Partisan Divides,
IJGI(12), No. 4, 2023, pp. 158.
DOI Link
2305
BibRef
Zhao, H.[Hongkun],
Yang, Y.[Yaofeng],
Chen, Y.[Yajuan],
Yu, H.[Huyang],
Chen, Z.[Zhuo],
Yang, Z.W.[Zhen-Wei],
Driving Factors and Scale Effects of Residents' Willingness to Pay
for Environmental Protection under the Impact of COVID-19,
IJGI(12), No. 4, 2023, pp. 163.
DOI Link
2305
BibRef
Jiang, L.[Luguang],
Liu, Y.[Ye],
China's Largest City-Wide Lockdown: How Extensively Did Shanghai
COVID-19 Affect Intensity of Human Activities in the Yangtze River
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RS(15), No. 8, 2023, pp. 1989.
DOI Link
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BibRef
Bergmann, L.[Luke],
Chaves, L.F.[Luis Fernando],
O'Sullivan, D.[David],
Wallace, R.G.[Robert G.],
Dominant Modes of Agricultural Production Helped Structure Initial
COVID-19 Spread in the U.S. Midwest,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Wu, Y.Q.[Yan-Qing],
Pu, C.L.[Cun-Lai],
Zhang, G.X.[Gong-Xuan],
Pardalos, P.M.[Panos M.],
Traffic-Driven Epidemic Spreading in Networks: Considering the
Transition of Infection From Being Mild to Severe,
Cyber(53), No. 7, July 2023, pp. 4619-4629.
IEEE DOI
2307
Epidemics, Mathematical models, Computational modeling,
Immune system, Resource management, Markov processes, COVID-19,
traffic flow
BibRef
Zwick, F.[Felix],
Fraedrich, E.[Eva],
Axhausen, K.W.[Kay W.],
Ride-pooling in the light of COVID-19: Determining spatiotemporal
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Predictive models, Pandemics, Diseases, Couplings,
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Intrusion detection, Training, Feature extraction, COVID-19,
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Epidemics, COVID-19, Statistics, Sociology, Mobile handsets,
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Epidemics, Vaccines, Sociology, Mathematical models, Data models,
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
GIS: Database Issues, Implementation Issues, Design .