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Acceptance of the covid-19 vaccine based on health belief model



Abstract

Introduction: Cases of coronavirus that causes Covid-19 disease in the world have reached 1.8 million people. Cases of coronavirus that causes Covid-19 disease in the world have reached 1.8 million people. The purpose of the study analyzed predictions of covid-19 vaccine acceptance based on sufferers and health belief models in Indonesia and Timor Leste. 

Method: Analytical research method with cross-sectional survey approach, the population is taken from community living at Surabaya Indonesia and Timor Leste as many as 250 respondents. Sampling was conducted in a consequent sampling in two regions at Surabaya Indonesia and Timor Leste.  Data collection using google form, share through were respondents. Statistical analysis with rank spearmen.

Result: the relationship of vulnerability perception with acceptance vaccine covid-19 and correlation coefficient showing a figure of 0.29. It refers to the value of 0.20- 0.40 is considered weak. Similarly, the relationship of severity perception with acceptance vaccine covid-19 obtained coefficient correlation 0.41 expressed strong. on the perception of cues doing actions with acceptance vaccine covid-19, there is a strong relationship, because value correlation coefficient 0.41. For the relationship of benefit perception with acceptance vaccine covid-19 get a weak result because the correlation coefficient of 0.23 in the category below 0.40 is considered weak.

Conclusion: there are four components of Health Belief Model associated with Acceptance vaccine covid-19

Keywords: Acceptance Covid-19 Prediction perception health belief model

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How to Cite

Eppy Setiyowati, Rahayu Anggraeni, Priyo Mukti Winoto, Domingas da Silva Soares Pereira, Paulo Lopes, & Aquino Tinos Martins. (2022). Acceptance of the covid-19 vaccine based on health belief model. Bali Medical Journal, 11(3), 1319–1324. https://doi.org/10.15562/bmj.v11i3.3549
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Eppy Setiyowati
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BMJ Journal

Rahayu Anggraeni
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Priyo Mukti Winoto
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Domingas da Silva Soares Pereira
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Paulo Lopes
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Aquino Tinos Martins
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