Tropical Medicine and Infectious Disease (Oct 2022)

Risk Communication Distributed among Migrant Workers during the COVID-19 Crisis in Thailand: Analysis on Structural and Networking Gaps

  • Hathairat Kosiyaporn,
  • Sataporn Julchoo,
  • Ratchadaporn Papwijitsil,
  • Sonvanee Uansri,
  • Mathudara Phaiyarom,
  • Pigunkaew Sinam,
  • Rapeepong Suphanchaimat

DOI
https://doi.org/10.3390/tropicalmed7100296
Journal volume & issue
Vol. 7, no. 10
p. 296

Abstract

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Language and cultural barriers among migrant workers hamper access to health risk information. This study aims to explore health risk communication structure and processes and identify the communication network of migrant workers during the COVID-19 pandemic in Thailand. This study used a parallel mixed-methods design combined with in-depth interviews and questionnaires for social network analysis from November 2020 to June 2021 in the headquarter district of Samut Sakhon, Ranong, and Phuket provinces. We conducted purposive sampling of representatives from public and non-public organisations and local communities. Thirty-six key informants participated in in-depth interviews, and fifty-six respondents completed the questionnaire for social network analysis. Although health risk communication included various activities, there was no formal governing body responsible for health risk communication among migrants, and monitoring and evaluation of communication process were not well-implemented. The health risk communication network was centralised, especially in the rural area; however, migrant health volunteers (MHVs) and local media were key sources of information for most migrants in communities. Overall, a governing body led by the government with intersectional collaboration and a health risk communication process should be promoted while considering migrants’ characteristics and concerns. The health risk communication network should identify key communicators such as MHVs and local media. This can be an effective strategy to fill the gap of information dependency.

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