The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission
Open accessAbstract
How do governments in China and Western democracies differ in their technological response to control the transmission of the pandemic? Based on an analysis of academic papers, World Health Organization reports and newspapers, this research compares two opposing approaches, whereas the Chinese cities and government have adopted a techno-driven approach, Western governments have adopted a human-driven approach to control the transmission of Covid-19. The findings highlight that although the techno driven approach may be more productive to identify, isolate and quarantine infected individuals, it also results in the suppression and censoring the citizen views. It is further emphasized that human interaction with the technology is mediated by the political and institutional context in which the technologies are implemented. This paper contributes to literature by understanding the human-technology relationship, and offers five practical observations for controlling virus transmissions during pandemics.
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Citations
Cites
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0504 · Cited by 5,970
Smart cities: Definitions, dimensions, performance, and initiatives
Albino, V., Berardi, U., & Dangelico, R. M. (2015) · Journal of Urban Technology · doi:10.1080/10630732.2014.942092 · Cited by 3,536
Caragliu, A., Del Bo, C., & Nijkamp, P. (2011) · Journal of Urban Technology · doi:10.1080/10630732.2011.601117 · Cited by 3,409
Will the real smart city please stand up?: Intelligent, progressive or entrepreneurial?
Hollands, R. G. (2008) · City · doi:10.1080/13604810802479126 · Cited by 3,025
The real-time city? Big data and smart urbanism
Kitchin, R. (2014) · GeoJournal · doi:10.1007/s10708-013-9516-8 · Cited by 2,794
Smart city policies: A spatial approach
Angelidou, M. (2014) · Cities · doi:10.1016/j.cities.2014.06.007 · Cited by 986 · cited 2×
“Angelidou (2014) shows how New York, for instance, one of the cities highly affected by Covid19, adopted the IoT for gathering insights from the communities.”
Sun, T. Q., & Medaglia, R. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2018.09.008 · Cited by 948 · cited 1×
“of new-age technologies (Sun & Medaglia, 2019) .”
Transmissibility of 1918 pandemic influenza
Mills, C. E., Robins, J. M., & Lipsitch, M. (2004) · Nature · doi:10.1038/nature03063 · Cited by 796
Transforming the communication between citizens and government through AI-guided chatbots
Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2018.10.001 · Cited by 567
Cited by
Golinelli, D., Boetto, E., Carullo, G., Nuzzolese, A. G., Landini, M. P., & Fantini, M. P. (2020) · Journal of Medical Internet Research · doi:10.2196/22280 · Cited by 574
Palomares, I., Martínez-Cámara, E., Montes, R., García-Moral, P., Chiachio, M., Chiachio, J., Alonso, S., Melero, F. J., Molina, D., Fernández, B., et al. (2021) · Applied Intelligence · doi:10.1007/s10489-021-02264-y · Cited by 276
Pan, S. L., & Zhang, S. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102196 · Cited by 259
Artificial intelligence in public services: When and why citizens accept its usage
Gesk, T. S., & Leyer, M. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2022.101704 · Cited by 195
Platform Government in the Era of Smart Technology
Kim, S., Andersen, K. N., & Lee, J. (2022) · Public Administration Review · doi:10.1111/puar.13422 · Cited by 128
Metadata
- Authors
- Kummitha, R. K. R.
- Venue
- Government Information Quarterly
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 37
- Issue
- 3
- Pages
- 101481
- ISSN
- 0740-624X (ISSN-L)
- OpenAlex
- W3016981353
- Cited by
- 268
- References
- 13
- FWCI
- 53.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kummitha, R. K. R. (2020). Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission. Government Information Quarterly. https://doi.org/10.1016/j.giq.2020.101481
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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