Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China’s mainland

References

• Alexander, N., A. Lenhart, K. Anaya-Izquierdo, and M.S. Carvalho. 2020. “Spatial Spillover Analysis of a Cluster-randomized Trial against Dengue Vectors in Trujillo, Venezuela.” PLoS Neglected Tropical Diseases 14 (9): e0008576. doi:10.1371/journal.pntd.0008576.
   PubMed Web of Science ®Google Scholar
• Alin, A. 2010. “Multicollinearity.” Wiley Interdisciplinary Reviews. Computational Statistics 2 (3): 370–374. doi:10.1002/wics.84.
   Google Scholar
• Andersen, L.M., S.R. Harden, M.M. Sugg, J.D. Runkle, and T.E. Lundquist. 2021. “Analyzing the Spatial Determinants of Local Covid-19 Transmission in the United States.” Science of the Total Environment 754: 142396. doi:10.1016/j.scitotenv.2020.142396.
   PubMed Web of Science ®Google Scholar
• Anselin, L., and D.A. Griffith. 1988. “Do Spatial Effects Really Matter in Regression Analysis?” Papers in Regional Science 65 (1): 11–34. doi:10.1111/j.1435-5597.1988.tb01155.x.
   Google Scholar
• Arif, M., and S. Sengupta. 2021. “Nexus between Population Density and Novel Coronavirus (COVID-19) Pandemic in the South Indian States: A Geo-statistical Approach.” Environment, Development and Sustainability 23 (7): 10246–10274. doi:10.1007/s10668-020-01055-8.
   PubMed Web of Science ®Google Scholar
• Backer, J.A., D. Klinkenberg, and J. Wallinga. 2020. “Incubation Period of 2019 Novel Coronavirus (2019-ncov) Infections among Travellers from Wuhan, China, 20–28 January 2020.” Eurosurveillance 25 (5): 2000062. doi:10.2807/1560-7917.ES.2020.25.5.2000062.
   Web of Science ®Google Scholar
• Bag, R., M. Ghosh, B. Biswas, and M. Chatterjee. 2020. “Understanding the Spatio‐temporal Pattern of COVID‐19 Outbreak in India Using GIS and India’s Response in Managing the Pandemic.” Regional Science Policy & Practice 12 (6): 1063–1103. doi:10.1111/rsp3.12359.
   Web of Science ®Google Scholar
• Baidu Migration Data (accessed 1 June 2021). https://qianxi.baidu.com/.
   Google Scholar
• Bao, J., H. Lin, and Q. Zhou. 2020. “COVID-19 Epidemic Spatio-Temporal Dataset User Guide.” Accessed Feb 18. https://github.com/Estelle0217/COVID-19-Epidemic-Dataset.git .
   Google Scholar
• Bashir, M.F., B. Ma, M. A. Bashir, M.A. Bashir, M. Bashir, M. Bashir, and M. Bashir. 2020. “Correlation between Climate Indicators and COVID-19 Pandemic in New York, USA.” Science of the Total Environment 728: 138835. doi:10.1016/j.scitotenv.2020.138835.
   PubMed Web of Science ®Google Scholar
• Baum, C.F., and M. Henry. 2020. “Socioeconomic Factors Influencing the Spatial Spread of COVID-19 in the United States.” Miguel, Socioeconomic Factors Influencing the Spatial Spread of COVID-19 in the United States (May 29, 2020). doi:10.2139/ssrn.3614877.
   Google Scholar
• Becker, S., and J.M. Soukup. 1999. “Exposure to Urban Air Particulates Alters the Macrophage-mediated Inflammatory Response to Respiratory Viral Infection.” Journal of Toxicology and Environmental Health. Part A 57 (7): 445–457. doi:10.1080/009841099157539.
   PubMed Web of Science ®Google Scholar
• Berk, R.A. 1983. “An Introduction to Sample Selection Bias in Sociological Data.” American Sociological Review 48 (3): 386–398. doi:10.2307/2095230.
   Web of Science ®Google Scholar
• Cai, Q., J. Lu, Q. Xu, Q. Guo, X. De, Q. Sun, H. Yang, G. Zhao, and Q. Jiang. 2007. “Influence of Meteorological Factors and Air Pollution on the Outbreak of Severe Acute Respiratory Syndrome.” Public Health 121 (4): 258–265. doi:10.1016/j.puhe.2006.09.023.
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention (CDC). 2020. “Interactive Atlas of Heart Disease and Stroke.” https://nccd.cdc.gov/DHDSPAtlas/Reports.aspx .
   Google Scholar
• CEPI. 2021. ”CEPI Survey Assesses Potential COVID-19 Vaccine Manufacturing Capacity.” Accessed 1 June 2021.https://cepi.net/news_cepi/cepi-survey-assesses-potential-covid-19-vaccine-manufacturing-capacity/ .
   Google Scholar
• Chen, Y., F. Li, J. Chen, B. Du, -K.-K.R. Choo, and H. Hassan. 2017. “EPLS: A Novel Feature Extraction Method for Migration Data Clustering.” Journal of Parallel and Distributed Computing 103: 96–103. doi:10.1016/j.jpdc.2016.11.008.
   Web of Science ®Google Scholar
• Chen, B., H. Liang, X. Yuan, Y. Hu, M. Xu, Y. Zhao, B. Zhang, F. Tian, and X. Zhu. 2020a. “Roles of Meteorological Conditions in COVID-19 Transmission on a Worldwide Scale.” medRxiv. doi:10.1101/2020.03.16.20037168.
   Google Scholar
• Chen, Z., Q. Zhang, Y. Lu, Z. Guo, X. Zhang, W. Zhang, C. Guo, C. Liao, Q. Li, and X. Han. 2020b. “Distribution of the COVID-19 Epidemic and Correlation with Population Emigration from Wuhan, China.” Chinese Medical Journal 133 (9): 1044–1050. doi:10.1097/CM9.0000000000000782.
   PubMed Web of Science ®Google Scholar
• Elhorst, J.P. 2001. “Dynamic Models in Space and Time.” Geographical Analysis 33 (2): 119–140. doi:10.1111/j.1538-4632.2001.tb00440.x.
   Web of Science ®Google Scholar
• Elhorst, J.P. 2014. Spatial Econometrics: From Cross-sectional Data to Spatial Panels. Vol. 479. Heidelberg: Springer.
   Google Scholar
• ESRI. “What Is a Shapefile?”. https://desktop.arcgis.com/en/arcmap/10.3/manage-data/shapefiles/what-is-a-shapefile.htm. Accessed 1 June 2021.
   Google Scholar
• European Centre for Disease Prevention and Control (ECDC). 2021. “COVID-19 Situation Update Worldwide.” https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases. Accessed 1 June 2021.
   Google Scholar
• Fouillet, A., I. Pontais, and C. Caserio-Schönemann. 2020. “Excess All-cause Mortality during the First Wave of the COVID-19 Epidemic in France, March to May 2020.” Eurosurveillance 25 (34): 2001485. doi:10.2807/1560-7917.ES.2020.25.34.2001485.
   Web of Science ®Google Scholar
• Ge, M., and Z. Feng. 2010. “Classification of Densities and Characteristics of Curve of Population Centers in China by GIS.” Journal of Geographical Sciences 20 (4): 628–640. doi:10.1007/s11442-010-0628-5.
   Web of Science ®Google Scholar
• Goodchild, M.F. 1986. Spatial Autocorrelation. Vol. 47. Norwich, England, UK: Geo Books.
   Google Scholar
• Griffith, D.A. 1988. “Estimating Spatial Autoregressive Model Parameters with Commercial Statistical Packages.” Geographical Analysis 20 (2): 176–186. doi:10.1111/j.1538-4632.1988.tb00174.x.
   Web of Science ®Google Scholar
• Griffith, D., and B. Li. 2021. “Spatial-temporal Modeling of Initial COVID-19 Diffusion: The Cases of the Chinese Mainland and Conterminous United States.” Geo-spatial Information Science 24 (3): 340–362. doi:10.1080/10095020.2021.1937338.
   Web of Science ®Google Scholar
• Gross, B., Z. Zheng, S. Liu, X. Chen, A. Sela, J. Li, D. Li, and S. Havlin. 2020. “Spatio-temporal Propagation of COVID-19 Pandemics.” EPL (Europhysics Letters) 131 (5): 58003. doi:10.1209/0295-5075/131/58003.
   Google Scholar
• Guan, W., Z. Ni, Y. Hu, W. Liang, C. Ou, J. He, L. Liu, H. Shan, C. Lei, and D.S. Hui. 2020. “Clinical Characteristics of Coronavirus Disease 2019 in China.” New England Journal of Medicine 382 (18): 1708–1720. doi:10.1056/NEJMoa2002032.
   PubMed Web of Science ®Google Scholar
• Guliyev, H. 2020. “Determining the Spatial Effects of COVID-19 Using the Spatial Panel Data Model.” Spatial Statistics 38: 100443. doi:10.1016/j.spasta.2020.100443.
   PubMed Web of Science ®Google Scholar
• Hadjidemetriou, G.M., M. Sasidharan, G. Kouyialis, and A.K. Parlikad. 2020. “The Impact of Government Measures and Human Mobility Trend on COVID-19 Related Deaths in the UK.” Transportation Research Interdisciplinary Perspectives 6: 100167. doi:10.1016/j.trip.2020.100167.
   PubMedGoogle Scholar
• Hausman, J.A. 1978. “Specification Tests in Econometrics.” Econometrica: Journal of the Econometric Society 46 (6): 1251–1271. doi:10.2307/1913827.
   Web of Science ®Google Scholar
• Horne, B.D., E.A. Joy, M.G. Hofmann, P.H. Gesteland, J.B. Cannon, J.S. Lefler, D.P. Blagev, E.K. Korgenski, N. Torosyan, and G.I. Hansen. 2018. “Short-term Elevation of Fine Particulate Matter Air Pollution and Acute Lower Respiratory Infection.” American Journal of Respiratory and Critical Care Medicine 198 (6): 759–766. doi:10.1164/rccm.201709-1883OC.
   PubMed Web of Science ®Google Scholar
• Hsiao, C. 2005. “Why Panel Data?” The Singapore Economic Review 50 (2): 143–154. doi:10.1142/S0217590805001937.
   Google Scholar
• Hu, M., J.D. Roberts, G.P. Azevedo, and D. Milner. 2021. “The Role of Built and Social Environmental Factors in Covid-19 Transmission: A Look at America’s Capital City.” Sustainable Cities and Society 65: 102580. doi:10.1016/j.scs.2020.102580.
   Web of Science ®Google Scholar
• Huang, J., H. Wang, M. Fan, A. Zhuo, Y. Sun, and Y. Li. 2020b. “Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data.” Paper presented at the Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. New York, United States, July 6-10.
   Google Scholar
• Huang, H., Y. Wang, Z. Wang, Z. Liang, S. Qu, S. Ma, G. Mao, and X. Liu. 2020a. “Epidemic Features and Control of 2019 Novel Coronavirus Pneumonia in Wenzhou, China.” China (3/3/2020). doi:10.2139/ssrn.3550007.
   Google Scholar
• James, G., D. Witten, T. Hastie, and R. Tibshirani. 2013. An Introduction to Statistical Learning. Vol. 112. New York: Springer.
   Google Scholar
• Jiang, P., X. Fu, Y. Van Fan, J.J. Klemeš, P. Chen, S. Ma, and W. Zhang. 2021. “Spatial-temporal Potential Exposure Risk Analytics and Urban Sustainability Impacts Related to COVID-19 Mitigation: A Perspective from Car Mobility Behaviour.” Journal of Cleaner Production 279: 123673. doi:10.1016/j.jclepro.2020.123673.
   PubMed Web of Science ®Google Scholar
• Jiang, B., and C.D. Rijke. 2021. “A Power-law-based Approach to Mapping COVID-19 Cases in the United States.” Geo-spatial Information Science 24 (3): 333–339. doi:10.1080/10095020.2020.1871306.
   Web of Science ®Google Scholar
• Kang, D., H. Choi, J.-H. Kim, and J. Choi. 2020. “Spatial Epidemic Dynamics of the COVID-19 Outbreak in China.” International Journal of Infectious Diseases 94: 96–102. doi:10.1016/j.ijid.2020.03.076.
   PubMed Web of Science ®Google Scholar
• Kim, J.H., F. Marks, and J.D. Clemens. 2021. “Looking beyond COVID-19 Vaccine Phase 3 Trials.” Nature Medicine 27 (2): 205–211. doi:10.1038/s41591-021-01230-y.
   PubMed Web of Science ®Google Scholar
• Kontis, V., J.E. Bennett, T. Rashid, R.M. Parks, J. Pearson-Stuttard, M. Guillot, P. Asaria, B. Zhou, M. Battaglini, and G. Corsetti. 2020. “Magnitude, Demographics and Dynamics of the Effect of the First Wave of the COVID-19 Pandemic on All-cause Mortality in 21 Industrialized Countries.” Nature Medicine 26 (12): 1919–1928. doi:10.1038/s41591-020-1112-0.
   PubMed Web of Science ®Google Scholar
• Kraemer, M.U., T.A. Perkins, D.A. Cummings, R. Zakar, S.I. Hay, D.L. Smith, and R. Reiner Jr. 2015. “Big City, Small World: Density, Contact Rates, and Transmission of Dengue across Pakistan.” Journal of the Royal Society Interface 12 (111): 20150468. doi:10.1098/rsif.2015.0468.
   PubMed Web of Science ®Google Scholar
• Kraemer, M.U., C.-H. Yang, B. Gutierrez, C.-H. Wu, B. Klein, D.M. Pigott, L. Du Plessis, N.R. Faria, R. Li, and W.P. Hanage. 2020. “The Effect of Human Mobility and Control Measures on the COVID-19 Epidemic in China.” Science 368 (6490): 493–497. doi:10.1126/science.abb4218.
   PubMed Web of Science ®Google Scholar
• Lai, S., E. Erbach-Schoenberg, C. Pezzulo, N.W. Ruktanonchai, A. Sorichetta, J. Steele, T. Li, C.A. Dooley, and A.J. Tatem. 2019. “Exploring the Use of Mobile Phone Data for National Migration Statistics.” Palgrave Communications 5 (1): 1–10. doi:10.1057/s41599-019-0242-9.
   Web of Science ®Google Scholar
• LeSage, J.P., and R.K. Pace. 2008. “Spatial Econometric Modeling of Origin‐destination Flows.” Journal of Regional Science 48 (5): 941–967. doi:10.1111/j.1467-9787.2008.00573.x.
   Web of Science ®Google Scholar
• LeSage, J.P., and R.K. Pace. 2009. Introduction to Spatial Econometrics. New York, USA: Chapman and Hall/CRC.
   Google Scholar
• Li, H., C.A. Calder, and N. Cressie. 2007. “Beyond Moran’s I: Testing for Spatial Dependence Based on the Spatial Autoregressive Model.” Geographical Analysis 39 (4): 357–375. doi:10.1111/j.1538-4632.2007.00708.x.
   Web of Science ®Google Scholar
• Li, Q., X. Guan, P. Wu, X. Wang, L. Zhou, Y. Tong, R. Ren, K.S. Leung, E.H. Lau, and J.Y. Wong. 2020. “Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–infected Pneumonia.” New England Journal of Medicine 382 (13): 1199–1207. doi:10.1056/NEJMoa2001316.
   PubMed Web of Science ®Google Scholar
• Li, B., and L. Ma. 2020. “Migration, Transportation Infrastructure, and the Spatial Transmission of COVID-19 in China.” Journal of Urban Economics 15: 103351.
   Google Scholar
• Liu, J., J. Zhou, J. Yao, X. Zhang, L. Li, X. Xu, X. He, B. Wang, S. Fu, and T. Niu. 2020. “Impact of Meteorological Factors on the COVID-19 Transmission: A Multi-city Study in China.” Science of the Total Environment 726: 138513. doi:10.1016/j.scitotenv.2020.138513.
   PubMed Web of Science ®Google Scholar
• Ma, Y., Y. Zhao, J. Liu, X. He, B. Wang, S. Fu, J. Yan, J. Niu, J. Zhou, and B. Luo. 2020. “Effects of Temperature Variation and Humidity on the Death of COVID-19 in Wuhan, China.” Science of the Total Environment 724: 138226. doi:10.1016/j.scitotenv.2020.138226.
   PubMed Web of Science ®Google Scholar
• Massman, W. 1998. “A Review of the Molecular Diffusivities of H2O, CO2, CH4, CO, O3, SO2, NH3, N2O, NO, and NO2 in Air, O2 and N2 near STP.” Atmospheric Environment 32 (6): 1111–1127. doi:10.1016/S1352-2310(97)00391-9.
   Web of Science ®Google Scholar
• Meade, M.S. 2014. “Medical Geography.” The Wiley Blackwell Encyclopedia of Health, Illness, Behavior, and Society 1375–1381. doi:10.1002/9781118410868.wbehibs204.
   Google Scholar
• Mollalo, A., B. Vahedi, and K.M. Rivera. 2020. “GIS-based Spatial Modeling of COVID-19 Incidence Rate in the Continental United States.” Science of the Total Environment 728: 138884. doi:10.1016/j.scitotenv.2020.138884.
   PubMed Web of Science ®Google Scholar
• Murano, Y., R. Ueno, S. Shi, T. Kawashima, Y. Tanoue, S. Tanaka, S. Nomura, H. Shoji, T. Shimizu, and H. Nguyen. 2021. “Impact of Domestic Travel Restrictions on Transmission of COVID-19 Infection Using Public Transportation Network Approach.” Scientific Reports 11 (1): 1–9. doi:10.1038/s41598-021-81806-3.
   PubMed Web of Science ®Google Scholar
• National Health Commission of the People’s Republic of China. “China Health Statistics Yearbook 2020 .” http://www.nhc.gov.cn/zwgk/tjnj1/ejlist.shtml. Accessed 1 June 2021.
   Google Scholar
• National Urban Air Quality Real Time Release Platform http://www.cnemc.cn/sssj/ . Accessed 1 June 2021.
   Google Scholar
• Nishiura, H., N.M. Linton, and A.R. Akhmetzhanov. 2020. “Serial Interval of Novel Coronavirus (COVID-19) Infections.” International Journal of Infectious Diseases 93: 284–286. doi:10.1016/j.ijid.2020.02.060.
   PubMed Web of Science ®Google Scholar
• NOAA National Centers for Environmental Information https://www.ncdc.noaa.gov/ . Accessed 1 June 2021.
   Google Scholar
• Ogen, Y. 2020. “Assessing Nitrogen Dioxide (NO2) Levels as a Contributing Factor to Coronavirus (COVID-19) Fatality.” Science of the Total Environment 726: 138605. doi:10.1016/j.scitotenv.2020.138605.
   PubMed Web of Science ®Google Scholar
• Parker, E.P., M. Shrotri, and B. Kampmann. 2020. “Keeping Track of the SARS-CoV-2 Vaccine Pipeline.” Nature Reviews. Immunology 20 (11): 650. doi:10.1038/s41577-020-00455-1.
   PubMed Web of Science ®Google Scholar
• Poole, L. 2020. “Seasonal Influences on the Spread of SARS-CoV-2 (COVID19), Causality, and Forecastabililty (3-15-2020).” Causality, and Forecastabililty (3-15-2020)(March 15, 2020). doi:10.2139/ssrn.3554746.
   Google Scholar
• Qi, H., S. Xiao, R. Shi, M.P. Ward, Y. Chen, W. Tu, Q. Su, W. Wang, X. Wang, and Z. Zhang. 2020. “COVID-19 Transmission in Mainland China Is Associated with Temperature and Humidity: A Time-series Analysis.” Science of the Total Environment 728: 138778. doi:10.1016/j.scitotenv.2020.138778.
   PubMed Web of Science ®Google Scholar
• Rader, B., S.V. Scarpino, A. Nande, A.L. Hill, B. Adlam, R.C. Reiner, D.M. Pigott, B. Gutierrez, A.E. Zarebski, and M. Shrestha. 2020. “Crowding and the Shape of COVID-19 Epidemics.” Nature Medicine 26 (12): 1829–1834. doi:10.1038/s41591-020-1104-0.
   PubMed Web of Science ®Google Scholar
• Rocklöv, J., and H. Sjödin. 2020. “High Population Densities Catalyse the Spread of COVID-19.” Journal of Travel Medicine 27 (3): taaa038. doi:10.1093/jtm/taaa038.
   PubMed Web of Science ®Google Scholar
• Saffary, T., O.A. Adegboye, E. Gayawan, F. Elfaki, M.A. Kuddus, and R. Saffary. 2020. “Analysis of COVID-19 Cases’ Spatial Dependence in US Counties Reveals Health Inequalities.” Frontiers in Public Health 728. doi:10.3389/fpubh.2020.579190.
   Web of Science ®Google Scholar
• Sajadi, M.M., P. Habibzadeh, A. Vintzileos, S. Shokouhi, F. Miralles-Wilhelm, and A. Amoroso. 2020. “Temperature, Humidity, and Latitude Analysis to Estimate Potential Spread and Seasonality of Coronavirus Disease 2019 (COVID-19).” JAMA network open 3 (6): e2011834–e. doi:10.1001/jamanetworkopen.2020.11834.
   PubMed Web of Science ®Google Scholar
• Sannigrahi, S., F. Pilla, B. Basu, A.S. Basu, and A. Molter. 2020. “Examining the Association between Socio-demographic Composition and COVID-19 Fatalities in the European Region Using Spatial Regression Approach.” Sustainable Cities and Society 62: 102418. doi:10.1016/j.scs.2020.102418.
   PubMed Web of Science ®Google Scholar
• Shariati, M., T. Mesgari, M. Kasraee, and M. Jahangiri-Rad. 2020. “Spatiotemporal Analysis and Hotspots Detection of COVID-19 Using Geographic Information System (March and April, 2020).” Journal of Environmental Health Science and Engineering 18 (2): 1499–1507. doi:10.1007/s40201-020-00565-x.
   Web of Science ®Google Scholar
• Sugg, M.M., T.J. Spaulding, S.J. Lane, J.D. Runkle, S.R. Harden, A. Hege, and L.S. Iyer. 2020. “Mapping Community-level Determinants of COVID-19 Transmission in Nursing Homes: A Multi-scale Approach.” Science of the Total Environment 752: 141946. doi:10.1016/j.scitotenv.2020.141946.
   PubMed Web of Science ®Google Scholar
• Sun, Y., X. Hu, and J. Xie. 2021. “Spatial Inequalities of COVID-19 Mortality Rate in Relation to Socioeconomic and Environmental Factors across England.” Science of the Total Environment 758: 143595. doi:10.1016/j.scitotenv.2020.143595.
   PubMed Web of Science ®Google Scholar
• Tang, W., H. Liao, G. Marley, Z. Wang, W. Cheng, D. Wu, and R. Yu. 2020. “The Changing Patterns of Coronavirus Disease 2019 (COVID-19) in China: A Tempo geographic Analysis of the Severe Acute Respiratory Syndrome Coronavirus 2 Epidemic.” Clinical Infectious Diseases 71 (15): 818–824. doi:10.1093/cid/ciaa423.
   PubMed Web of Science ®Google Scholar
• Tencent “Tencent Positioning Big Data.” https://heat.qq.com/ . Accessed 1 June 2021.
   Google Scholar
• Tian, H., Y. Liu, Y. Li, C.-H. Wu, B. Chen, M.U. Kraemer, B. Li, J. Cai, B. Xu, and Q. Yang. 2020. “An Investigation of Transmission Control Measures during the First 50 Days of the COVID-19 Epidemic in China.” Science 368 (6491): 638–642. doi:10.1126/science.abb6105.
   PubMed Web of Science ®Google Scholar
• Van Doremalen, N., T. Bushmaker, D.H. Morris, M.G. Holbrook, A. Gamble, B.N. Williamson, A. Tamin, J.L. Harcourt, N.J. Thornburg, and S.I. Gerber. 2020. “Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1.” New England Journal of Medicine 382 (16): 1564–1567. doi:10.1056/NEJMc2004973.
   PubMed Web of Science ®Google Scholar
• van Oosterhout, C., N. Hall, H. Ly, and K.M. Tyler. 2021. “COVID-19 Evolution during the pandemic–Implications of New SARS-CoV-2 Variants on Disease Control and Public Health Policies.” Virulence 12 (1): 507–508. doi:10.1080/21505594.2021.1877066.
   PubMed Web of Science ®Google Scholar
• Verhagen, M.D., D.M. Brazel, J.B. Dowd, I. Kashnitsky, and M.C. Mills. 2020. “Forecasting Spatial, Socioeconomic and Demographic Variation in COVID-19 Health Care Demand in England and Wales.” BMC Medicine 18 (1): 1–11. doi:10.1186/s12916-020-01646-2.
   PubMed Web of Science ®Google Scholar
• Wang, J., K. Tang, K. Feng, and W. Lv. 2020. “High Temperature and High Humidity Reduce the Transmission of COVID-19.” Available at SSRN 3551767. https://www.scienceopen.com/document_file/ff8b579c-26ff-4c3c-9aa5-a141bc8e35f6/PubMedCentral/ff8b579c-26ff-4c3c-9aa5-a141bc8e35f6.pdf .
   Google Scholar
• Wei, J., Y. Liu, Y. Zhu, J. Qian, R. Ye, C. Li, X. Ji, H. Li, C. Qi, and Y. Wang. 2020. “Impacts of Transportation and Meteorological Factors on the Transmission of COVID-19.” International Journal of Hygiene and Environmental Health 230: 113610. doi:10.1016/j.ijheh.2020.113610.
   PubMed Web of Science ®Google Scholar
• Wei, S., and L. Wang. 2020. “Examining the Population Flow Network in China and Its Implications for Epidemic Control Based on Baidu Migration Data.” Humanities and Social Sciences Communications 7 (1): 1–10. doi:10.1057/s41599-020-00633-5.
   Google Scholar
• Wesolowski, A., N. Eagle, A.J. Tatem, D.L. Smith, A.M. Noor, R.W. Snow, and C.O. Buckee. 2012. “Quantifying the Impact of Human Mobility on Malaria.” Science 338 (6104): 267–270. doi:10.1126/science.1223467.
   PubMed Web of Science ®Google Scholar
• Wooldridge, J.M. 2009. “Econometrics: Panel Data Methods.” https://www.cemmap.ac.uk/wp-content/legacy/uploads/cemmap/programmes/Background%20reading%20May%202016.pdf. Accessed 1 June 2021.
   Google Scholar
• World Economic Forum (WEF). 2021. “How China Pays for Its COVID-19 Medical Bills.” https://www.weforum.org/agenda/2020/12/how-china-pays-for-its-covid-19-medical-bills/. Accessed 1 June 2021.
   Google Scholar
• World Health Organization (WHO). 2020a. “Transmission of SARS-CoV-2: Implications for Infection Prevention Precautions.” https://apps.who.int/iris/bitstream/handle/10665/333114/WHO-2019-nCoV-Sci_Brief-Transmission_modes-2020.3-rus.pdf. Accessed 1 June 2021.
   Google Scholar
• World Health Organization (WHO). 2020b. “World Health Organization Coronavirus Disease (COVID-19) Dashboard.” https://covid19.who.int/. Accessed 1 June 2021.
   Google Scholar
• World Health Organization (WHO). 2020c. “Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19).” https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-covid-19-final-report.pdf. Accessed 1 June 2021.
   Google Scholar
• Wu, X., R.C. Nethery, B.M. Sabath, D. Braun, and F. Dominici. 2020. “Exposure to Air Pollution and COVID-19 Mortality in the United States.” medRxiv. doi:10.1101/2020.04.05.20054502.
   Google Scholar
• Xie, Z., Y. Qin, Y. Li, W. Shen, Z. Zheng, and S. Liu. 2020. “Spatial and Temporal Differentiation of COVID-19 Epidemic Spread in Mainland China and Its Influencing Factors.” Science of the Total Environment 744: 140929. doi:10.1016/j.scitotenv.2020.140929.
   PubMed Web of Science ®Google Scholar
• Xie, J., J. Teng, Y. Fan, R. Xie, and A. Shen. 2019. “The Short-term Effects of Air Pollutants on Hospitalizations for Respiratory Disease in Hefei, China.” International Journal of Biometeorology 63 (3): 315–326. doi:10.1007/s00484-018-01665-y.
   PubMed Web of Science ®Google Scholar
• XINHUANET. 2021. “Backgrounder: Nationwide Aid to Hubei’s Battle against Coronavirus.” http://www.xinhuanet.com/english/2020-03/17/c_138888353.htm. Accessed 1 June 2021.
   Google Scholar
• Xiong, Y., Y. Wang, F. Chen, and M. Zhu. 2020. “Spatial Statistics and Influencing Factors of the Novel Coronavirus Pneumonia 2019 Epidemic in Hubei Province, China.” Research Square. doi:10.21203/rs.3.rs-16858/v1.
   Google Scholar
• Xu, X. 2017. ““China Population Spatial Distribution Kilometer Grid Dataset.” [In Chinese.] Data Registration and Publishing System of Data Center of Resources and Environment Science.” Chinese Academy of Sciences. doi:10.1207/82017121101.
   Google Scholar
• Xu, H., A. Berres, G. Thakur, J. Sanyal, and S. Chinthavali. 2021. “EPIsembleVis: A Geo-Visual Analysis and Comparison of the Prediction Ensembles of Multiple COVID-19 Models.” Journal of Biomedical Informatics 124: 103941. doi:10.1016/j.jbi.2021.103941.
   PubMed Web of Science ®Google Scholar
• Xu, G., W. Wang, D. Lu, B. Lu, K. Qin, and L. Jiao. 2021. “Geographically Varying Relationships Between Population Flows from Wuhan and COVID-19 Cases in Chinese Cities.” Geo-Spatial Information Science 1–11. doi:10.1080/10095020.2021.1977093.
   Web of Science ®Google Scholar
• Zhan, C., C.K. Tse, Y. Fu, Z. Lai, H. Zhang, and S.A. Cheong. 2020. “Modeling and Prediction of the 2019 Coronavirus Disease Spreading in China Incorporating Human Migration Data.” Plos one 15 (10): e0241171. doi:10.1371/journal.pone.0241171.
   PubMed Web of Science ®Google Scholar
• Zhang, G., H. Lu, J. Dong, S. Poslad, R. Li, X. Zhang, and X. Rui. 2020a. “A Framework to Predict High-resolution Spatiotemporal PM2. 5 Distributions Using A Deep-learning Model: A Case Study of Shijiazhuang, China.” Remote Sensing 12 (17): 2825. doi:10.3390/rs12172825.
   Web of Science ®Google Scholar
• Zhang, G., S. Poslad, X. Rui, G. Yu, Y. Fan, X. Song, and R. Li. 2021. “Using an Internet of Behaviours to Study How Air Pollution Can Affect People’s Activities of Daily Living: A Case Study of Beijing, China.” Sensors 21 (16): 5569. doi:10.3390/s21165569.
   PubMed Web of Science ®Google Scholar
• Zhang, X., H. Rao, Y. Wu, Y. Huang, and H. Dai. 2020c. “Comparison of Spatiotemporal Characteristics of the COVID-19 and SARS Outbreaks in Mainland China.” BMC Infectious Diseases 20 (1): 1–7. doi:10.1186/s12879-020-05537-y.
   Web of Science ®Google Scholar
• Zhang, G., X. Rui, and Y. Fan. 2018. “Critical Review of Methods to Estimate PM2. 5 Concentrations within Specified Research Region.” ISPRS International Journal of Geo-Information 7 (9): 368. doi:10.3390/ijgi7090368.
   Web of Science ®Google Scholar
• Zhang, G., X. Rui, S. Poslad, X. Song, Y. Fan, and B. Wu. 2020b. “A Method for the Estimation of Finely-grained Temporal Spatial Human Population Density Distributions Based on Cell Phone Call Detail Records.” Remote Sensing 12 (16): 2572. doi:10.3390/rs12162572.
   Web of Science ®Google Scholar
• Zheng, Z., and G. Zhang. 2020. “The Prediction of Finely-Grained Spatiotemporal Relative Human Population Density Distributions in China.” IEEE Access 8: 181534–181546. doi:10.1109/ACCESS.2020.3027824.
   Web of Science ®Google Scholar
• Zhou, C., F. Su, T. Pei, A. Zhang, Y. Du, B. Luo, Z. Cao, J. Wang, W. Yuan, and Y. Zhu. 2020. “COVID-19: Challenges to GIS with Big Data.” Geography and Sustainability 1 (1): 77–87. doi:10.1016/j.geosus.2020.03.005.
   Web of Science ®Google Scholar
• Zhu, Y., J. Xie, F. Huang, and L. Cao. 2020. “Association between Short-term Exposure to Air Pollution and COVID-19 Infection: Evidence from China.” Science of the Total Environment 727: 138704. doi:10.1016/j.scitotenv.2020.138704.
   PubMed Web of Science ®Google Scholar
• Zhu, Y., S. Zhao, B. Qu, and R.J. Soares Magalhaes. 2021. “China’s COVID-19 Response for the Protection of Rural Communities.” PLoS Neglected Tropical Diseases 15 (2): e0009018. doi:10.1371/journal.pntd.0009018.
   PubMed Web of Science ®Google Scholar