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Engaging Remote Aboriginal Communities in COVID-19 Public Health Messaging via Crowdsourcing.
Glennie, Miriam; Dowden, Michelle; Grose, Mark; Scolyer, Meg; Superina, Alessandra; Gardner, Karen.
  • Glennie M; Public Sector Research Group, University of New South Wales, Canberra, ACT, Australia.
  • Dowden M; One Disease, Darwin, NT, Australia.
  • Grose M; Skinnyfish, Darwin, NT, Australia.
  • Scolyer M; One Disease, Darwin, NT, Australia.
  • Superina A; One Disease, Darwin, NT, Australia.
  • Gardner K; Public Sector Research Group, University of New South Wales, Canberra, ACT, Australia.
Front Public Health ; 10: 866134, 2022.
Article in English | MEDLINE | ID: covidwho-1952805
ABSTRACT
Health comunication is a critical component of pandemic mitigation, but mainstream prevention messaging often lacks social, cultural and linguistic relevance to vulnerable populations. This community case study presents a novel, highly participatory pandemic prevention communication campaign that engaged individuals in remote Aboriginal communities of the Northern Territory of Australia directly in prevention messaging via crowdsourcing, and distributed videos to remote area post-codes via targeted Facebook advertising. Facebook metrics, administrative campaign data and national statistics are used to assess campaign reach and engagement. The case study discusses lessons learned from the campaign, including how seeking unscripted COVID-19 prevention video messaging can support community ownership of pandemic messaging, rapid content generation, and a high level of Facebook user engagement. It also discusses the effectiveness of targeting remote area post-codes via Facebook advertising both to reach the target audience, and to support quality improvement assessments to inform health communication decision-making in a low resource setting.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Crowdsourcing / COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.866134

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Crowdsourcing / COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.866134