COMMUNITY KNOWLEDGE, ATTITUDES, AND BEHAVIOR TOWARDS SOCIAL DISTANCING POLICY AS PREVENTION TRANSMISSION OF COVID-19 IN INDONESIA

Background: Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV2 recently became a pandemic worldwide, such as in Indonesia. Social distancing is one of the recommended mitigations to reduce the risk of disasters, such as morbidity and mortality caused by COVID-19. Community compliance with social distancing is a part of the pandemic control. Aims: This study identified knowledge, attitudes, and behavior towards the prevention of SARS-CoV-2 transmission through social distancing during COVID-19 pandemic among Indonesian community. Methods: This descriptive study applied a cross-sectional design and distributed closed questions with online  questionnaire randomly to 34 provinces in Indonesia on social media networks and e-mail. This study successfully collected 1,102 respondents from 29 provinces in Indonesia. The data were analyzed descriptively by calculating frequency, percentage, and cross-tabulation. Results: This study had successfully identified  99%, 59%, and 93% of respondents with good knowledge, positive attitudes, and good behavior respectively towards  social distancing..Among the respondents who had good knowledge showed positive attitudes (58.85%) and good behavior (93.3%). The respondents who had positive attitudes showed good behavior (96.7%).behavior Conclusion: Indonesian community had good knowledge, attitude and behavior towards social distancing as a way to prevent the virus transmission. This strongly supports disaster mitigation in controlling the COVID-19 pandemic in Indonesia.   Keywords: attitudes, behavior, COVID-19, knowledge, social distancing..

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

Jurnal Administrasi Kesehatan Indonesia - 8(2020), 2, Seite 4-14

Sprache:

Englisch ; Indonesisch

Beteiligte Personen:

Budi Yanti [VerfasserIn]
Eko Wahyudi [VerfasserIn]
Wahiduddin Wahiduddin [VerfasserIn]
Revi Gama Hatta Novika [VerfasserIn]
Yuliana Mahdiyah Da’at Arina [VerfasserIn]
Natalia Sri Martani [VerfasserIn]
Nawan Nawan [VerfasserIn]

Links:

doi.org [kostenfrei]
doaj.org [kostenfrei]
e-journal.unair.ac.id [kostenfrei]
Journal toc [kostenfrei]
Journal toc [kostenfrei]

Themen:

Computer applications to medicine. Medical informatics
J
Political science
Public aspects of medicine

doi:

10.20473/jaki.v8i2.2020.4-14

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

DOAJ010935967