Data on attitudes, religious perspectives, and practices towards COVID-19 among Indonesian residents: a quick online cross-sectional survey

Data in Brief

Risma Aprinda Kristanti¹  Lailia Nur Rachma²  Zulvikar Syambani Ulhaq²  Achmad Arief Hidayatullah²  Nurlaili Susanti²  Aulanni'am Aulanni'am² 

[1] Corresponding authors.;Faculty of Medicine and Health Sciences, Maulana Malik Ibrahim State Islamic University of Malang, Batu, Indonesia;

关键词: Survey data;    Online questionnaire;    Cross-sectional;    COVID-19;    Indonesian residents;    Attitude;   

DOI  :  

来源: DOAJ

【 摘 要 】

Although previously large-scale social restrictions were implemented by the Indonesian government, the total number of coronavirus cases is overcome China in the global ranking per July 18th, 2020, implying a higher infection rate among Indonesian residents. The surge of new coronavirus cases started since the loosening of large-scale social restrictions, thereby implicating that public gathering (including religious gathering) evidently increases transmission [1]. It has been reported that Indonesia's coronavirus disease-19 (COVID-19) mortality rate is the second-highest among Southeast Asian Nations, which may be associated with several health determinants, including biochemical factors and health comorbidity [2–7]. Because people's adherence to control measures is affected by their attitudes, religious perspectives, and practices (ARP) towards COVID-19. Hence, the information regarding Indonesian's ARP towards COVID-19 post-large-scale social restrictions is required. The data were collected via an online questionnaire, including demographic information (7 items), attitude and practice (5 items), and religious perspective and practice (5 items), from July 11 – 18, 2020, collecting a total of 1,345 respondents. Although our data collection did not provide other precautionary measures (e.g., adequate ventilation). It is notable that most of the religious venues are having a close ventilation system. Hence, this may contribute to the propagation of SARS-CoV-2 transmission [8]. Altogether, these data will help in determining non-health-related factors to prevent the spread of COVID-19.

【 授权许可】

Unknown