ABSTRACT

COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-Scale Deep Learning Analysis   [open pdf - 954KB]

From the Abstract: "The adoption of nonpharmaceutical interventions and their surveillance are critical for detecting and stopping possible transmission routes of COVID-19 [coronavirus disease 2019]. A study of the effects of these interventions can help shape public health decisions. The efficacy of nonpharmaceutical interventions can be affected by public behaviors in events, such as protests. We examined mask use and mask fit in the United States, from social media images, especially during the Black Lives Matter (BLM) protests, representing the first large-scale public gatherings in the pandemic. [...] This study assessed the use and fit of face masks and social distancing in the United States and events of large physical gatherings through public social media images from 6 cities and BLM protests." This article was originally published on the Journal of Medical Internet Research (JMIR) Public Health and Surveillance website: [https://publichealth.jmir.org/2022/1/e26868].

Author:
Publisher:
Date:
2022-01-18
Series:
Copyright:
Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru. Posted here with permission. Document is under a Creative Commons license and requires proper attribution and noncommercial use to be shared: [https://creativecommons.org/licenses/by/4.0/].
Retrieved From:
JMIR Publications: https://jmirpublications.com/
Format:
pdf
Media Type:
application/pdf
Source:
JMIR Public Health Surveillance (January 2022), v.8 no.1
URL:
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