References
- Ahmadi, M., Sharifi, A., Dorosti, S., Ghoushchi, S. J., & Ghanbari, N. (2020). Investigation of effective climatology parameters on COVID-19 outbreak in Iran. Science of the Total Environment, 729, 138705. https://doi.org/10.1016/j.scitotenv.2020.138705
- Allam, Z., & Jones, D. S. (2020, March). On the coronavirus (COVID-19) outbreak and the smart city network: Universal data sharing standards coupled with artificial intelligence (AI) to benefit urban health monitoring and management. Healthcare, 8(1), 46. https://doi.org/10.3390/healthcare8010046
- Amin, H. N. M., & Amin, H. N. M. (2020). Climate analysis to predict potential spread and seasonality for global (COVID-19) in Iraqi Kurdistan region. Kurdistan Journal of Applied Research, 5(3), 72–83.
- Baldwin, R., & Weder Di Mauro, B. (2020). Economics in the time of COVID-19. Economic policy research. CEPR Press.
- Bashir, M. F., Ma, B., Komal, B., Bashir, M. A., Tan, D., & Bashir, M. (2020). Correlation between climate indicators and COVID-19 Pandemic in New York, USA. Science of the Total Environment, 728, 138835. https://doi.org/10.1016/j.scitotenv.2020.138835
- Bedogni, L., Bononi, L., Di Felice, M., D’Elia, A., & Cinotti, T. S. (2016). A route planner service with recharging reservation: Electric itinerary with a click. IEEE Intelligent Transportation Systems Magazine, 8(3), 75–84. https://ieeexplore.ieee.org/document/7518717
- Biktasheva, I. V. (2020). Role of a habitat’s air humidity in COVID-19 mortality. Science of the Total Environment, 736, 138763. https://doi.org/10.1016/j.scitotenv.2020.138763
- Block, P., Hoffman, M., Raabe, I. J., Dowd, J. B., Rahal, C., Kashyap, R., & Mills, M. C. (2020). Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world. Nature Human Behaviour, 4, 588–596. https://doi.org/10.1038/s41562-020-0898-6
- Bonetto, R., & Rossi, M. (2017). Smart grid for the smart city. In V. Angelakis, E. Tragos, H. C. Pöhls, A. Kapovits, & A. Bassi (Eds.), Designing, developing, and facilitating smart cities (pp. 241–263). Springer.
- Briz-Redón, Á., & Serrano-Aroca, Á. (2020). A spatio-temporal analysis for exploring the effect of temperature on COVID-19 early evolution in Spain. Science of the Total Environment, 728, 138811. https://doi.org/10.1016/j.scitotenv.2020.138811
- Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., Short, M. J., Pillay, D., Manley, E., Cox, I. J., Heymann, D., Johnson, A. M., & McKendry, R. A. (2020). Digital technologies in the public-health response to COVID-19. Nature Medicine, 26(8), 1183–1192. https://doi.org/10.1038/s41591-020-1011-4
- Cecilia, J. M., Cano, J.-C., Hernández‐Orallo, E., Calafate, C. T., & Manzoni, P. (2020). Mobile crowdsensing approaches to address the COVID-19 pandemic in Spain. IET Smart Cities, 2(2), 58–63. https://doi.org/10.1049/iet-smc.2020.0037
- Chauhan, A., Jakhar, S. K., & Chauhan, C. (2021). The interplay of circular economy with industry 4.0 enabled smart city drivers of healthcare waste disposal. Journal of Cleaner Production, 279, 123854. https://doi.org/10.1016/j.jclepro.2020.123854
- Chen, Y., Ardila-Gomez, A., & Frame, G. (2016). Achieving energy savings by intelligent transportation systems investments in the context of smart cities. World Bank.
- Chetty, R., Friedman, J. N., Hendren, N., & Stepner, M. (2020). How did Covid-19 and stabilization policies affect spending and employment? A new real-time economic tracker based on private sector data. National Bureau of Economic Research. No. w27431
- Choudhari, R. (2020). COVID 19 pandemic: Mental health challenges of internal migrant workers of India. Asian Journal of Psychiatry, 54, 102254. https://doi.org/10.1016/j.ajp.2020.102254
- Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., … Hajizadeh, A. (2020). Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: A systematic review and meta-analysis. The Lancet, 395(10242), 1973–1987. https://doi.org/10.1016/S0140-6736(20)31142-9
- Cook, D. J., Duncan, G., Sprint, G., & Fritz, R. L. (2018). Using smart city technology to make healthcare smarter. Proceedings of the IEEE, 106(4), 708–722. https://doi.org/10.1109/JPROC.2017.2787688
- Das, D., & Zhang, J. J. (2020). Pandemic in a smart city: Singapore’s COVID-19 management through technology & society. Urban Geography, 42(3), 408–416. https://doi.org/10.1080/02723638.2020.1807168
- Datta, A. (2020). Self (ie)-governance: Technologies of intimate surveillance in India under COVID-19. Dialogues in Human Geography, 10(2), 234–237. https://doi.org/10.1177/2043820620929797
- Douglas, M., Katikireddi, S. V., Taulbut, M., McKee, M., & McCartney, G. (2020). Mitigating the wider health effects of COVID-19 pandemic response. BMJ, 369(1557). https://doi.org/10.1136/bmj.m1557
- Espejo, W., Celis, J. E., Chiang, G., & Bahamonde, P. (2020). Environment and COVID-19: Pollutants, impacts, dissemination, management and recommendations for facing future epidemic threats. Science of the Total Environment, 747, 141314. https://doi.org/10.1016/j.scitotenv.2020.141314
- Gao, T., Pesto, C., Selavo, L., Chen, Y., Ko, J., Lim, J., … Welsh, M. (2008, May). Wireless medical sensor networks in emergency response: Implementation and pilot results. In 2008 IEEE Conference on Technologies for Homeland Security, Waltham, MA, USA (pp. 187–192). IEEE.
- Graham, G., & Mehmood, R. (2014). The strategic prototype “crime-sourcing” and the science/science fiction behind it. Technological Forecasting and Social Change, 84, 86–92. https://doi.org/10.1016/j.techfore.2013.10.026
- Gupta, M., Abdelsalam, M., & Mittal, S. (2020). Enabling and enforcing social distancing measures using smart city and its infrastructures: A COVID-19 use case. arXiv preprint. https://doi.org/10.48550/arXiv.2004.09246
- Heymann, D. L., & Shindo, N. (2020). COVID-19: What is next for public health? The Lancet, 395(10224), 542–545. https://doi.org/10.1016/S0140-6736(20)30374-3
- Hossain, M. S., Muhammad, G., & Guizani, N. (2020). Explainable AI and mass surveillance system-based healthcare framework to combat COVID-19 like pandemics. IEEE Network, 34(4), 126–132. https://doi.org/10.1109/MNET.011.2000458
- Ihsanullah, I., Bilal, M., & Naushad, M. (2021). Coronavirus 2 (SARS-CoV-2) in water environments: Current status, challenges and research opportunities. Journal of Water Process Engineering, 39, 101735. https://doi.org/10.1016/j.jwpe.2020.101735
- Istrate, I.-R., Iribarren, D., Gálvez-Martos, J.-L., & Dufour, J. (2020). Review of life-cycle environmental consequences of waste-to-energy solutions on the municipal solid waste management system. Resources, Conservation and Recycling, 157, 104778. https://doi.org/10.1016/j.resconrec.2020.104778
- Jarrett, J., Saleh, I., Blake, M. B., Malcolm, R., Thorpe, S., & Grandison, T. (2014, October). Combining human and machine computing elements for analysis via crowdsourcing. In 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Work-sharing, Miami, Florida, USA (pp. 312–321). IEEE.
- Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 419–422. https://doi.org/10.1016/j.dsx.2020.04.032
- Jie, S. (2020). Big data, grid management support disease control in Quzhou. The Global Times China. https://www.globaltimes.cn/content/1179731.shtml/
- Jin, J.-M., Bai, P., He, W., Wu, F., Liu, X.-F., Han, D.-M., Liu, S., & Yang, J. K. (2020). Gender differences in patients with COVID-19: Focus on severity and mortality. Frontiers in Public Health, 8, 152. https://doi.org/10.3389/fpubh.2020.00152
- Jung, W. S. (2020). Commentary: South Korea succeeded in controlling COVID-19 panic buying, thanks to tracking and surveillance.
- Kang, M., Choi, Y., Kim, J., Lee, K. O., Lee, S., Park, I. K., Park, J., & Seo, I. (2020). COVID-19 impact on city and region: What’s next after lockdown? International Journal of Urban Sciences, 24(3), 297–315. https://doi.org/10.1080/12265934.2020.1803107
- Khanna, A., & Anand, R. (2016, January). IoT based smart parking system. In 2016 International Conference on Internet of Things and Applications (IOTA), Pune, India (pp. 266–270). IEEE.
- Kitchin, R. (2020). Using digital technologies to tackle the spread of the coronavirus: Panacea or folly. Working Paper- Maynooth University Social Sciences Institute and Department of Geography, Maynooth University, County Kildare, Ireland. https://progcity.maynoothuniversity.ie/2020/04/using-digital-technologies-to-tackle-the-spread-of-the-coronavirus-panacea-or-folly/
- Klemeš, J. J., Van Fan, Y., Tan, R. R., & Jiang, P. (2020). Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19. Renewable and Sustainable Energy Reviews, 127, 109883. https://doi.org/10.1016/j.rser.2020.109883
- Kristanto, G. A., & Koven, W. (2019). Estimating greenhouse gas emissions from municipal solid waste management in Depok, Indonesia. City and Environment Interactions, 4, 100027. https://doi.org/10.1016/j.cacint.2020.100027
- Kumar, H., Singh, M. K., Gupta, M. P., & Madaan, J. (2020). Moving towards smart cities: Solutions that lead to the smart city transformation framework. Technological Forecasting and Social Change, 153, 119281. https://doi.org/10.1016/j.techfore.2018.04.024
- Kummitha, R. K. R. (2020). Smart technologies for fighting pandemics: The techno- and human-driven approaches in controlling the virus transmission. Government Information Quarterly, 37(3), 101481. https://doi.org/10.1016/j.giq.2020.101481
- Kupfesrchmidt, K., & Cohen, J. (2020). Can China’s COVID-19 strategy work elsewhere? Science, 367(6482). https://www.science.org/doi/10.1126/science.367.6482.1061
- Li, W., Batty, M., & Goodchild, M. F. (2020). Real-time GIS for smart cities. International Journal of Geographical Information Science, 34(2), 311–324. https://doi.org/10.1080/13658816.2019.1673397
- Liu, H., & Li, Y. (2020). Smart cities for emergency management. Nature, 578(7796), 515. https://doi.org/10.1038/d41586-020-00523-5
- Maalsen, S., & Dowling, R. (2020). COVID-19 and the accelerating smart home. Big Data & Society, 7(2), 2053951720938073. https://doi.org/10.1177/2053951720938073
- McCarthy, N. (2020). Has South Korea stabilized its COVID-19 outbreak? [Infographic]. Forbes. https://www.forbes.com/sites/niallmccarthy/2020/03/11/has-south-korea-stabilized-its-COVID-19-outbreak-infographic/#43741d64686f
- Méndez-Arriaga, F. (2020). The temperature and regional climate effects on communitarian COVID-19 contagion in Mexico throughout phase 1. Science of the Total Environment, 735, 139560. https://doi.org/10.1016/j.scitotenv.2020.139560
- Mohammed, M. N., Desyansah, S. F., Al-Zubaidi, S., & Yusuf, E. (2020, February). An internet of things-based smart homes and healthcare monitoring and management system. Journal of Physics: Conference Series, 1450, 012079. https://iopscience.iop.org/article/10.1088/1742-6596/1450/1/012079/meta
- Mollica, G. J. G., & Balestieri, J. A. P. (2020). Is it worth generating energy with garbage? Defining a carbon tax to encourage waste-to-energy cycles. Applied Thermal Engineering, 173, 115195. https://doi.org/10.1016/j.applthermaleng.2020.115195
- Newman, P. (2020). Covid, cities and climate: Historical precedents and potential transitions for the new economy. Urban Science, 4(3), 32. https://doi.org/10.3390/urbansci4030032
- Nghiem, L. D., Morgan, B., Donner, E., & Short, M. D. (2020). The COVID-19 pandemic: Considerations for the waste and wastewater services sector. Case Studies in Chemical and Environmental Engineering, 1, 100006. https://doi.org/10.1016/j.cscee.2020.100006
- Onoda, H. (2020). Smart approaches to waste management for post-COVID-19 smart cities in Japan. IET Smart Cities, 2(2), 89–94. https://doi.org/10.1049/iet-smc.2020.0051
- Palmieri, F., Ficco, M., Pardi, S., & Castiglione, A. (2016). A cloud-based architecture for emergency management and first responders localization in smart city environments. Computers & Electrical Engineering, 56, 810–830. https://doi.org/10.1016/j.compeleceng.2016.02.012
- Pani, S. K., Lin, N. H., & Ravindra Babu, S. (2020). Association of COVID-19 pandemic with meteorological parameters over Singapore. Science of the Total Environment, 740, 140112. https://doi.org/10.1016/j.scitotenv.2020.140112
- Pansini, R., & Fornacca, D. (2020). COVID-19 higher mortality in Chinese regions with chronic exposure to lower air quality. Frontiers in Public Health, 8, 597753. https://doi.org/10.3389/fpubh.2020.597753
- Prata, D. N., Rodrigues, W., & Bermejo, P. H. (2020). Temperature significantly changes COVID-19 transmission in (sub)tropical cities of Brazil. Science of the Total Environment, 729, 138862. https://doi.org/10.1016/j.scitotenv.2020.138862
- Pyzyk, K. (2019). No US city makes top 10 of global smart city ranking. SmartCitiesDive. https://www.smartcitiesdive.com/news/no-us-cities-make-top-10-of-global-smart-city-ranking/564330/
- Rashed, E. A., Kodera, S., Gomez-Tames, J., & Hirata, A. (2020). Influence of absolute humidity, temperature and population density on COVID-19 spread and decay durations: Multi-prefecture study in Japan. International Journal of Environmental Research and Public Health, 17(15), 5354. https://doi.org/10.3390/ijerph17155354
- Roberts, H., Cowls, J., Morley, J., Taddeo, M., Wang, V., & Floridi, L. (2021). The Chinese approach to artificial intelligence: An analysis of policy, ethics, and regulation. AI & SOCIETY, 36(1), 59–77. https://doi.org/10.1007/s00146-020-00992-2
- Rocha, N. P., Dias, A., Santinha, G., Rodrigues, M., Queirós, A., & Rodrigues, C. (2019). Smart cities and public health: A systematic review. Procedia Computer Science, 164, 516–523. https://doi.org/10.1016/j.procs.2019.12.214
- Saadat, S., Rawtani, D., & Hussain, C. M. (2020). Environmental perspective of COVID-19. Science of the Total Environment, 728, 138870. https://doi.org/10.1016/j.scitotenv.2020.138870
- Saha, B., Debnath, A., & Saha, B. (2020). Analysis and finding the correlation of air quality parameters on the spread and deceased case of COVID-19 patients in India. Research Square. https://doi.org/10.21203/rs.3.rs-34647/v1
- Schlingensiepen, J., Nemtanu, F., Mehmood, R., & McCluskey, L. (2016). Autonomic transport management systems—Enabler for smart cities, personalized medicine, participation and industry grid/industry 4.0. In A. Sładkowski & W. Pamuła (Eds.), Intelligent Transportation Systems – Problems and Perspectives. Studies in Systems, Decision and Control, vol. 32. Springer, Cham. https://doi.org/10.1007/978-3-319-19150-8_1
- Sethi, M., & Mittal, S. (2020). Improvised rental housing to make cities COVID safe in India. Cities (London, England), 106, 102922. https://doi.org/10.1016/j.cities.2020.102922
- Sharifi, A., & Khavarian-Garmsir, A. R. (2020). The COVID-19 pandemic: Impacts on cities and major lessons for urban planning, design, and management. Science of the Total Environment, 749, 142391. https://doi.org/10.1016/j.scitotenv.2020.142391
- Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521-524. https://doi.org/10.1016/j.dsx.2020.04.041
- Smith, R. M., Pathak, P. A., & Agrawal, G. (2019). India’s “smart” cities mission: A preliminary examination into India’s newest urban development policy. Journal of Urban Affairs, 41(4), 518–534. https://doi.org/10.1080/07352166.2018.1468221
- Sohrabi, C., Alsafi, Z., O’neill, N., Khan, M., Kerwan, A., Al-Jabir, A., Iosifidis, C., & Agha, R. (2020). World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery, 76, 71–76. https://doi.org/10.1016/j.ijsu.2020.02.034
- Solanas, A., Patsakis, C., Conti, M., Vlachos, I. S., Ramos, V., Falcone, F., Postolache, O., Perez-martinez, P., Pietro, R., Perrea, D., & Martinez-Balleste, A. (2014). Smart health: A context-aware health paradigm within smart cities. IEEE Communications Magazine, 52(8), 74–81. https://doi.org/10.1109/MCOM.2014.6871673
- Stanford Institute for Human-Centred Artificial Intelligence, Stanford University. Annual Report: 2019.
- Subasinghe, I., Nittel, S., Cressey, M., Landon, M., & Bajracharya, P. (2020). Real-time mapping of natural disasters using citizen update streams. International Journal of Geographical Information Science, 34(2), 393–421. https://doi.org/10.1080/13658816.2019.1639185
- Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020). Digital technology and COVID-19. Nature Medicine, 26(4), 459–461. https://doi.org/10.1038/s41591-020-0824-5
- Tsatsakis, A., Petrakis, D., Nikolouzakis, T. K., Docea, A. O., Calina, D., Vinceti, M., Goumenou, M., Kostoff, R. N., Mamoulakis, C., Aschner, M., & Hernández, A. F. (2020). COVID-19, an opportunity to reevaluate the correlation between long-term effects of anthropogenic pollutants on viral epidemic/pandemic events and prevalence. Food and Chemical Toxicology, 141, 111418. https://doi.org/10.1016/j.fct.2020.111418
- Wu, X., Nethery, R. C., Sabath, M. B., Braun, D., & Dominici, F. (2020). Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis. Science Advances, 6(45). https://doi.org/10.1101/2020.04.05.20054502
- Zhou, K., Fu, C., & Yang, S. (2016). Big data driven smart energy management: From big data to big insights. Renewable and Sustainable Energy Reviews, 56, 215–225. https://doi.org/10.1016/j.rser.2015.11.050
- Zou, H., Shu, Y., & Feng, T. (2020). How Shenzhen, China avoided widespread community transmission: A potential model for successful prevention and control of COVID-19. Infectious Diseases of Poverty, 9(1), 1–4. https://doi.org/10.1186/s40249-020-00714-2