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Cited by 191

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Analyzing situational awareness through public opinion to predict adoption of social distancing amid pandemic COVID‐19

Open access
Qazi, Atika, Qazi, Javaria, Naseer, Khulla, Zeeshan, Muhammad, Hardaker, Glenn, Maitama, Jaafar Zubairu, Haruna, Khalid·2020·Journal of Medical Virology

Abstract

COVID‐19 pandemic has affected over 100 countries in a matter of weeks. People's response toward social distancing in the emerging pandemic is uncertain. In this study, we evaluated the influence of information (formal and informal) sources on situational awareness of the public for adopting health‐protective behaviors such as social distancing. For this purpose, a questionnaire‐based survey was conducted. The hypothesis proposed suggests that adoption of social distancing practices is an outcome of situational awareness which is achieved by the information sources. Results suggest that information sources, formal (P = .001) and informal (P = 0.007) were found to be significantly related to perceived understanding. Findings also indicate that social distancing is significantly influenced by situational awareness, P = .000. It can, therefore, be concluded that an increase in situational awareness in times of public health crisis using formal information sources can significantly increase the adoption of protective health behavior and in turn contain the spread of infectious diseases.

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Metadata

Authors
Qazi, A., Qazi, J., Naseer, K., Zeeshan, M., Hardaker, G., Maitama, J. Z., & Haruna, K.
Venue
Journal of Medical Virology
Publisher
Wiley
Published
2020-04-15
Volume
92
Issue
7
Pages
849-855
ISSN
  • 0146-6615 (ISSN-L)
  • 1096-9071
OpenAlex
W3014715459
Cited by
191
References
7
FWCI
48.26
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Analyzing situational awareness through public opinion to predict adoption of social distancing amid pandemic COVID‐19. https://app.cochat.ai/papers/10.1002/jmv.25840
The paper
Qazi, A., Qazi, J., Naseer, K., Zeeshan, M., Hardaker, G., Maitama, J. Z., & Haruna, K. (2020). Analyzing situational awareness through public opinion to predict adoption of social distancing amid pandemic COVID‐19. Journal of Medical Virology. https://doi.org/10.1002/jmv.25840

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.