Open access Journal SINTA 1
Determinants of public compliance in face mask wearing to prevent COVID-19 transmission in Indonesia
International Journal of Public Health Science · Vol. 11 No. 4 (2022) · pp. 1241–1248
- ISSN
- 2620-4126, 2252-8806
- Published
- 2022-12-01
- Publisher
- Intelektual Pustaka Media Utama
- Language
- eng
Abstract
To tackle the COVID-19 case, the COVID-19 task force in Indonesia urges the public to carry out COVID-19 prevention behaviors, including wearing masks. To find the determinants factors that affect public compliance with using masks, an online survey was conducted in Indonesia from June 27, to July 7, 2020. The analytical technique used in this study consisted of descriptive and inferential analysis. Of the 8,425 respondents, the majority (67.1%) had moderate mask compliance. Age, gender, education, income, and risk of infection have a significant relationship with mask compliance. Female respondents have higher compliance of wearing masks than men. Most respondents with high compliance in wearing masks are highly educated and have high incomes. The Boomer (elderly) group has the highest percentage who have low adherence to wearing masks. Respondents who stated they might be at risk of contracting COVID-19 had a high compliance score for wearing masks than respondents who stated they were unlikely to be infected. Socio-demographic factors significantly influence compliance with the use of masks during the COVID-19 pandemic in Indonesia. To improve health protocols compliance, the government needs to provide socialization, supervision, and evaluation of health protocols implementation in the community.
Collaboration network of the authors
40 authors · 107 co-authorship links · 5 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- National Research and Innovation Agency
- Jenderal Soedirman University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Riris Istighfari Jenie | Affiliation unknown | 6 |
| Mohamad Syaefudin | Affiliation unknown | 4 |
| Diah Vitri Widayanti | Affiliation unknown | 4 |
| Ratna Asmah Susidarti | Affiliation unknown | 4 |
| Neli Purwani | Affiliation unknown | 3 |
| Edy Meiyanto | Affiliation unknown | 3 |
| Zalinar Udin | Affiliation unknown | 3 |
| Dwi Astuti | Affiliation unknown | 2 |
| Tri Eko Agustiningrum | Affiliation unknown | 2 |
| Sudarwoto Sudarwoto | Affiliation unknown | 2 |
| Nurul Yuhanafia | Affiliation unknown | 2 |
| Virgiawan Adi Kristianto | Affiliation unknown | 2 |
| Cici Darsih | Affiliation unknown | 2 |
| Ani Budi Astuti | University of Brawijaya | 1 |
| Suci Astutik | University of Brawijaya | 1 |
| Nur Silviyah Rahmi | University of Brawijaya | 1 |
| Alifiandi Rafi Muhammad | University of Brawijaya | 1 |
| Ulfah Maisaroh | University of Brawijaya | 1 |
| Mugi Wahidin | National Research and Innovation Agency | 1 |
| Wawan Ahmad Ridwan | Jenderal Soedirman University | 1 |
| Doni Lasut | National Research and Innovation Agency | 1 |
| Yurika Fauzia Wardhani | National Research and Innovation Agency | 1 |
| Kismi Mubarokah | Affiliation unknown | 1 |
| Harianingsih Harianingsih | Affiliation unknown | 1 |
| Maharani Kusumaningrum | Affiliation unknown | 1 |
| Vera Noviana Sulistyawan | Affiliation unknown | 1 |
| Savira Rinda Erliana | Affiliation unknown | 1 |
| Isnina Noor Ubay | Affiliation unknown | 1 |
| Indra Sakti Pangestu | Affiliation unknown | 1 |
| Nur Qudus | Affiliation unknown | 1 |
| Nelly Setyowati Anggraeni | Affiliation unknown | 1 |
| Ade Novi Nurul Ihsani | Affiliation unknown | 1 |
| Delta Apriyani | Affiliation unknown | 1 |
| Sri Endah Wahyuningsih | Affiliation unknown | 1 |
| Ana Maryana | Affiliation unknown | 1 |
| Aria Aji Pawana | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.