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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

DOI
10.11591/ijphs.v11i4.21882
ISSN
2620-4126, 2252-8806
Published
2022-12-01
Publisher
Intelektual Pustaka Media Utama
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

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-authorOrganisationJoint articles
Riris Istighfari JenieAffiliation unknown6
Mohamad SyaefudinAffiliation unknown4
Diah Vitri WidayantiAffiliation unknown4
Ratna Asmah SusidartiAffiliation unknown4
Neli PurwaniAffiliation unknown3
Edy MeiyantoAffiliation unknown3
Zalinar UdinAffiliation unknown3
Dwi AstutiAffiliation unknown2
Tri Eko AgustiningrumAffiliation unknown2
Sudarwoto SudarwotoAffiliation unknown2
Nurul YuhanafiaAffiliation unknown2
Virgiawan Adi KristiantoAffiliation unknown2
Cici DarsihAffiliation unknown2
Ani Budi AstutiUniversity of Brawijaya1
Suci AstutikUniversity of Brawijaya1
Nur Silviyah RahmiUniversity of Brawijaya1
Alifiandi Rafi MuhammadUniversity of Brawijaya1
Ulfah MaisarohUniversity of Brawijaya1
Mugi WahidinNational Research and Innovation Agency1
Wawan Ahmad RidwanJenderal Soedirman University1
Doni LasutNational Research and Innovation Agency1
Yurika Fauzia WardhaniNational Research and Innovation Agency1
Kismi MubarokahAffiliation unknown1
Harianingsih HarianingsihAffiliation unknown1
Maharani KusumaningrumAffiliation unknown1
Vera Noviana SulistyawanAffiliation unknown1
Savira Rinda ErlianaAffiliation unknown1
Isnina Noor UbayAffiliation unknown1
Indra Sakti PangestuAffiliation unknown1
Nur QudusAffiliation unknown1
Nelly Setyowati AnggraeniAffiliation unknown1
Ade Novi Nurul IhsaniAffiliation unknown1
Delta ApriyaniAffiliation unknown1
Sri Endah WahyuningsihAffiliation unknown1
Ana MaryanaAffiliation unknown1
Aria Aji PawanaAffiliation unknown1

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.

Metadata source: OAI-PMH (metadata jurnal) http://ijphs.iaescore.com/index.php/IJPHS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Determinants of public compliance in face mask wearing to prevent COVID-19 transmission in Indonesia</dc:title>
	<dc:creator>Handayani, Sri</dc:creator>
	<dc:creator>Nuraini, Syarifah</dc:creator>
	<dc:creator>Pawitaningtyas, Indah</dc:creator>
	<dc:creator>Kurniawan, Aan</dc:creator>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">Intelektual Pustaka Media Utama</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2022-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>10.11591/ijphs.v11i4.21882</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Public Health Science (IJPHS); Vol 11, No 4: December 2022; 1241-1248</dc:source>
	<dc:source>2620-4126</dc:source>
	<dc:source>2252-8806</dc:source>
	<dc:source>10.11591/ijphs.v11i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijphs.iaescore.com/index.php/IJPHS/article/view/21882/13667</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Institute of Advanced Engineering and Science</dc:rights>
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