ABSTRACT
Muhammadiyah, being one of the religious-based organizations, has its affiliated members comprising 14,9% of the general Indonesian population. The Muhammadiyah Central Board declared an ad-hoc group called the Muhammadiyah COVID-19 Command Centre (MCCC) to combat COVID-19. Among the used media were the third COVID-19 guidelines publications by the MCCC. This study aimed to determine the Muhammadiyah members' understanding of the COVID-19 Revision III Guidelines based on their consistency, clarity, relevance, credibility, and interest. This research was a descriptive qualitative type of study. The eleven informants who participated in this study, determined by purposive sampling, were Muhammadiyah members who lived and worked in the Jakarta. These Informants consisted of various professions, including health workers, teachers, district board members, nurses, drivers, traders, house-wives, and students. Data collection was by online focus group discussions through the zoom cloud meetings platform. Informants discussed the five aspects of the guideline which included consistency, clarity, relevancy, credibility and interest. The contents of the guideline were found to be consistent with other similar guidelines published by the Ministry of Health (MOH). In addition, being affiliated members of the Muhammadi-yah group, informants felt more comfortable trusting the Muhammadiyah-published COVID-19 guidelines. From the clarity and relevance aspect, the informants had positive perspectives on the guidelines. The design of the published guidelines attracted their interest in reading, implementing, and sharing the guidelines with others. However, the guideline did not contain the names of its drafting team nor the introduction by the Central Board leadership. It would have been a very important strategy in strengthening the credibility of the media published by the MCCC. The MCCC needed more enticing plans and methods in the dissemination of its online or printed media to the population. For online media, the published number of pages should be fixed to a less readable number. © 2022, Universitas Negeri Semarang. All rights reserved.
ABSTRACT
Corona virus disease (COVID) is a transmittable disease caused by a newly discovered corona virus. For this a system is require which trace the location and predict the health of the people. In the present study, a cloud based a model is proposed. The proposed model will be connect with a cloud computing system that will predict the corona virus infected patients using naïve bayes classifier and provides geographic based danger areas to prevent the spreading of corona virus. This way will provide the great help to the local administration and health care agencies to control the spreading of covid. © 2022 IEEE.
ABSTRACT
OBJECTIVE: Self-isolation is a vital element of efforts to contain COVID-19. We set out to test whether decision aids can support self-isolation. DESIGN: We conducted a pre-registered online experiment with a nationally representative sample (n = 500). Three stages tested: (i) whether decision trees help people to decide whether they need to self-isolate; (ii) whether an online planning tool increases people's confidence in their ability to self-isolate; and (iii) whether infographics help people to absorb advice on managing a household in which someone must self-isolate. MAIN OUTCOME MEASURES: (i) Accuracy of matching symptom patterns to a response scale for the need to self-isolate; (ii) self-reported confidence in coping with self-isolation; (iii) objective tests of recall and comprehension. RESULTS: Decision trees improved decisions about when self-isolation was necessary, although participants systematically underestimated the need to self-isolate with less common COVID-19 symptoms (e.g. sore throat, fatigue). The online planning tool increased confidence about coping with self-isolation only among the adults aged under 40. Infographics improved recall and comprehension of how to manage self-isolation. CONCLUSION: Decision aids can be used to support self-isolation during COVID-19. The study also demonstrates how even an emergency public health response can benefit from rapid experimental pre-testing of interventions.