Identification of Covid 19 chain disconnection based on health belief model

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).

Identification of new cases of tuberculosis during the COVID-19 pandemic using model strategic management

Introduction: Tuberculosis (TB) is a world health problem that causes the third-largest death after cardiovascular and respiratory diseases. One of the causes of transmission of environmental factors is controlling the mobilization of individuals suffering from tuberculosis. This research aims to develop a strategic model of finding new TB cases based on region. Method: This descriptive research utilizes primary and secondary data. Variables consist of geographical and demographic characteristics, resources, tuberculosis prevalence, and indicators of tuberculosis response processes. The TB management planning model document is based on the experiences of health centers Perak Timur, Wonokromo, and Siwalankerto in maximizing TB case detection. Results: The management model outlines policies and procedures based on the variables. For example, the detection of new TB patients became a priority at the health center in Perak Timur. In contrast, the health center in Wonokromo focused on developing cadres and private practice physicians. Conclusions: This research provides an overview of the aspects that need attention and improvement by discovering different new cases in each region.