Abstract

In Indonesia at the end of 2020, COVID-19 cases were increasing and predicted to continue, as it had not yet passed the peak of the pandemic curve. The government had implemented mobility restrictions to reduce exposure to COVID-19. This study aimed to identify the risk of people getting COVID-19 based on their daily activities. Using a cross-sectional design, this study took 315 respondents under non-probability sampling from September to October 2020. Thedata were analyzed using the Chi-square test with α 0.05. This study showed that the risk percentage of people infected with COVID-19 based on their daily activities was 15.56% at low-risk, 63.81% at moderate-low risk, 17.14% at moderate risk, and 3.9% at moderate-high risk. Factors that were significantly related to the risk of getting COVID-19 in terms of daily activities were sex, attitude, and COVID-19 preventive behavior. In brief, the risk of getting COVID-19 could be assessed from daily activities carried out during the pandemic's peak.

References

1. Director General of Disease Control and Prevention M of HR. Guidelines for the prevention and control of coronavirus disease; 2020.

2. Ministry of Health Republic of Indonesia. Information on emerging infection Ministry of Health Republic of Indonesia. Ministry of Health Republic of Indonesia; 2020.

3. Covid-19 Prevention and Control Task Force Republic of Indonesia. Covid-19 distribution data July 10. Covid-19 Prevention and Control Task Force Republic of Indonesia; 2020.

4. Pan A, Liu L, Wang C, Guo H, Hao X, Wang Q, et al. Association of public health interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China. JAMA. 2020; 323 (19): 1915–23.

5. Press Bureau, Media and Information PS. President Jokowi evaluates and improves PSBB implementation. Covid-19 Prevention and Control Task Force Republic of Indonesia; 2020.

6. Darmawan ES. PSBB relaxation + herd immunity = the new normal? In: Webinar IAKMI-PAPDI-TKMKB. Jakarta: IAKMI, PAPDI, TKMKB; 2020.

7. Ali M, de Azevedo ARG, Marvila MT, Khan MI, Memon AM, Masood F, et al. The influence of covid-19-induced daily activities on health parameters—a case study in Malaysia. Sustainability. 2021; 13 (13): 7465.

8. Ali M, Dharmowijoyo DB, Harahap IS, Puri A, Evianti Tanjung L. Travel behaviour and health: interaction of activity-travel pattern, travel parameter and physical intensity. Solid State Technology. 2020; 63 (6): 18–9.

9. Badr HS, Du H, Marshall M, Dong E, Squire MM, Gardner LM. Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. Lancet Infectious Diseases. 2020; 20 (11): 1247–54.

10. Texas Medical Association. Be informed; know your risk during covid19. Texas Medical Association; 2020.

11. Gershuny J, Sullivan O, Sevilla A, Vega-Rapun M, Foliano F, de Grignon JL, et al. A new perspective from time use research on the effects of social restrictions on COVID-19 behavioral infection risk. PLoS One. 2021; 16 (2): 1–7.

12. Ganczak M, PAsek O, Duda-Duma Ł, Świstara D, Korzeń M. Face masks use in the public domain and its determinants during the SARSCov-2 epidemic in Poland; a non-participatory covert observational study. BMC Public Health. 2021; 1 (1): 1–11.

13. Dharmowijoyo DBE, Susilo YO, Karlström A, Adiredja LS. Collecting a multi-dimensional three-weeks household time-use and activity diary in the Bandung Metropolitan Area, Indonesia. Transp Res Part A Policy Practice. 2015; 80: 231–46.

14. Lemeshow S, Jr DWH, Klar J, Lwanga SK. Adequacy of sample size in health studies. 2nd ed. Singapore: John Wiley & Sons; 1998.

15. Mertler CA. Introduction to educational research. Los Angeles: SAGE publication; 2018.

16. Sudaryo Y, Sofiati NA, Medidjati A, Hadiana A. Online survey research methods with google forms. 1st ed. Yogyakarta: Andi offset; 2019.

17. BlackRock Investment Institute. 2021 Global Outlook a New Investment Order. New York; 2020.

18. Google. Indonesia community mobility report during Covid-19; 2020.

19. Marpaung EWBH. Covid-19 and new normal. Research Gate. 2020; (Juni): 1–16.

20. Kadafi M. Violating health protocols, foreigners flock to restaurants because of drink promos. Merdeka; 2020.

21. Livingston M. 10 Activities that expose you to coronavirus, from most to least risky. CNET. 2021 p. 1–1.

22. Infectiouse Disease Society of America. What the experts say about COVID-19 risks. New York; 2021.

23. Covid-19 Handling Committee, National Economic Recovery Committee. Community adherence to health protocols must be improved. Covid19.co.id. 2020 p. 1.

24. Drefahl S, Wallace M, Mussino E, Aradhya S, Kolk M, Brandén M, et al. A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden. Nature Communications. 2020; 11 (1): 5097.

25. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, et al. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. International Journal of Environmental Research and Public Health. 2020; 17 (5):1 729.

26. Zhang M, Zhou M, Tang F, Wang Y, Nie H, Zhang L, et al. Knowledge, attitude, and practice regarding COVID-19 among healthcare workers in Henan, China. J Hosp Infect. 2020; 105 (2): 183–7.

27. Akther L, Shahnewaz S, Ferdous D, PK MMU. Diagnosis, management and recovery of COVID 19: a case report in Bangladesh. Authorea, Inc.; 2020.

28. Stringhini S, Carmeli C, Jokela M, Avendaño M, Muennig P, Guida F, et al. Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and metaanalysis of 1·7 million men and women. Lancet (London, England). 2017; 389 (10075): 1229–37.

29. Lan F-Y, Wei C-F, Hsu Y-T, Christiani DC, Kales SN. Work-related COVID-19 transmission in six Asian countries/areas: a follow-up study. PLoS One. 2020;15 (5): e0233588.

30. United States Department of Labor. Control and prevention. United States Department of Labor; 2020.

31. Yanti B, Mulyadi E, Wahiduddin W, Novika RGH, Arina YMD, Martani NS, et al. Community knowledge, attitudes, and behavior towards social distancing policy as prevention transmission of Covid19 in Indonesia. Jurnal Administrasi Kesehatan Indonesia. 2020; 8: 4- 14.

32. Sari DK, Amelia R, Dharmajaya R, Sari LM, Fitri NK. Positive correlation between general public knowledge and attitudes regarding COVID-19 Outbreak 1 month after first cases reported in Indonesia. Journal of Community Health. 2020; (0123456789).

33. Zhang J. How did people respond to the COVID-19 pandemic during its early stage? a case study in Japan. SSRN Electronic Journal; 2020.

34. Arlinghaus KR, Johnston CA. Advocating for behavior change with education. American Journal of Lifestyle Medicine. SAGE Publications Inc.; 2018; 12: 113-6.

35. Kaushik M, Agarwal D, Gupta AK. Cross-sectional study on the role of public awareness in preventing the spread of COVID-19 outbreak in India. Postgraduate Medical Journal; 2020.

36. Chan HF, Skali A, Savage DA, Stadelmann D, Torgler B. Risk attitudes and human mobility during the COVID-19 pandemic. Scientific Reports. 2020; 10 (1).

37. Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, et al. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. International Journal of Biological Sciences. 2020; 16 (10): 1745–52.

38. West R, Michie S, Rubin GJ, Amlôt R. Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nature Human Behaviour. 2020; 4 (5): 451–9.

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