• TH
    • EN
    • Register
    • Login
    • Forgot Password
    • Help
    • Contact
  • Register
  • Login
  • Forgot Password
  • Help
  • Contact
  • EN 
    • TH
    • EN
View Item 
  •   Home
  • สถาบันวิจัยระบบสาธารณสุข (สวรส.) - Health Systems Research Institute (HSRI)
  • Research Reports
  • View Item
  •   Home
  • สถาบันวิจัยระบบสาธารณสุข (สวรส.) - Health Systems Research Institute (HSRI)
  • Research Reports
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Analysis of the effect of COVID-related policies and other information on public behavior for healthcare prevention using mask-wearing data obtained from CCTV and artificial intelligence image analysis

ทยา กิติยากร, หม่อมหลวง; Taya Kitiyakara; สุภารี บุญมานันท์; Suparee Boonmanunt; รัตน์ชัยนันท์ ธรรมสุจริต; Ratchainant Thammasudjarit;
Date: 2565
Abstract
Background: The COVID-19 pandemic has caused immense health and financial loss globally. Prior to mass vaccination, the only way to limit its spread was with standard health precautions, including mask-wearing, hand washing and social distancing. Compliance with these measures vary between countries, depending on the culture, the public awareness and the policies enacted by the government. A higher rate of mask-wearing is thought to be more effective in limiting the spread of the disease and methods of monitoring mask-wearing would be useful for campaigns to increase mask-wearing. Although the mask-wearing rate has been estimated with questionnaires and episodic counting studies, there are very few reports visually documenting the rate of mask wearing sequentially over time. In this study we developed an artificial intelligence (AI) system to analyze images from public CCTV’s to document the rate of mask wearing in Bangkok, Thailand, and correlate the rate with public health policies and COVID-19 events. Methodology: Public CCTV cameras in the Bangkok Metropolitan Area (BMA) were selected in view of their location and camera viewpoints. Every week, 9 hours of video clips from each of these cameras were downloaded and sent for analysis by an AI that had been trained to detect mask-wearing using pictures with and without masks from public databases. Images were divided for analysis into 2 parts, one part containing the mobile population and the other the non-mobile/vendor population. A number of the images was also visually checked for accuracy. The rate of mask-wearing was analyzed and correlated to public health measures and COVID-19 infections. The images of faces without masks were reviewed to understand factors related to not wearing masks. An in-person questionnaire was also performed on pedestrians in Bangkok to ascertain the factors for mask-wearing, or not, and to try to ascertain the attitudes, understanding and behavior of the general population in Bangkok. The mask-wearing rate seen on CCTV was compared with the mask-wearing rate obtained by a governmental online questionnaire.
Copyright ผลงานวิชาการเหล่านี้เป็นลิขสิทธิ์ของสถาบันวิจัยระบบสาธารณสุข หากมีการนำไปใช้อ้างอิง โปรดอ้างถึงสถาบันวิจัยระบบสาธารณสุข ในฐานะเจ้าของลิขสิทธิ์ตามพระราชบัญญัติสงวนลิขสิทธิ์สำหรับการนำงานวิจัยไปใช้ประโยชน์ในเชิงพาณิชย์
Fulltext
Thumbnail
Name: hs2774.pdf
Size: 13.65Mb
Format: PDF
Download

User Manual
(* In case of download problems)

Total downloads:
Today: 0
This month: 0
This budget year: 1
This year: 1
All: 25
 

 
 


 
 
Show full item record
Collections
  • Research Reports [2469]

    งานวิจัย


DSpace software copyright © 2002-2016  DuraSpace
Privacy Policy | Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

HSRI Knowledge BankDashboardCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjectsSubjectsการบริการสุขภาพ (Health Service Delivery) [619]กำลังคนด้านสุขภาพ (Health Workforce) [99]ระบบสารสนเทศด้านสุขภาพ (Health Information Systems) [286]ผลิตภัณฑ์ วัคซีน และเทคโนโลยีทางการแพทย์ (Medical Products, Vaccines and Technologies) [125]ระบบการเงินการคลังด้านสุขภาพ (Health Systems Financing) [158]ภาวะผู้นำและการอภิบาล (Leadership and Governance) [1281]ปัจจัยสังคมกำหนดสุขภาพ (Social Determinants of Health: SDH) [228]วิจัยระบบสุขภาพ (Health System Research) [28]ระบบวิจัยสุขภาพ (Health Research System) [20]

DSpace software copyright © 2002-2016  DuraSpace
Privacy Policy | Contact Us | Send Feedback
Theme by 
Atmire NV