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Cited by 268

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 access
Kummitha, Rama Krishna Reddy·2020·Government Information Quarterly

Abstract

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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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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CoChat. (2026). Citation check: Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission. https://app.cochat.ai/papers/10.1016/j.giq.2020.101481
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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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.