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Identification of Covid 19 chain disconnection based on health belief model
AIP Conference Proceedings ; 2595, 2023.
Article in English | Scopus | ID: covidwho-20236531
ABSTRACT
Covid 19 disease is one of the infectious diseases caused by the coronavirus. The disease has caused 1.8 million people (currently in writing) to die. Sharing this way, the Indonesian government seeks to break the chain of the spread of the coronavirus through health programs through a mass tightening of activities and the use of health protocols. The purpose of this study is to identify covid-19 transmission based on the health belief model. Analytical design, cross-sectional approach, community research sample in Surabaya as many as 101 respondents through random sampling. The variables of this study are Vulnerability Perception, Severity Perception, Health protocols Benefit Perception, Health protocols Resistance Perception, Self-Efficacy Health protocols, Cues to Action, and Health protocols. The data was collected with questionnaires circulating through google-form on a what-aps group of colleagues, friends, and friends. Analysis with linear regression. Covid 19 transmission has a positive relationship with the perception of susceptibility (p< 0.01), self-efficacy (p0.05), and cues for transmission of covid 19 action (p<0.01). There is a negative relationship between the transmission of covid 19 and perception of Preventive Behavior (p<0.01). Linear regression models show that independent variables contributed all to 84.5% of covid-19 transmission. Identification results based on the health belief model include severity, vulnerability, cues to take action, and perceived benefits for identifying the spread of Covid 19, but barriers unrelated to Covid 19 prevention efforts in the region. Further research prioritizes willingness and awareness of breaking the chain of transmission of covid. © 2023 Author(s).

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: AIP Conference Proceedings Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: AIP Conference Proceedings Year: 2023 Document Type: Article