No abstract

COVID-19 started in China and then spread to other countries. The Indonesian government officially announced the first case of COVID-19 on 2nd March 2020. Previously, on 4th February, the Ministry of Health issued a Decree of the Minister of Health number HK.01.07 of 2020 regarding “Determination of Novel Coronavirus Infection (2019-Ncov Infection) as a Disease That Can Cause Outbreaks And Efforts to Overcome it”. WHO then declared COVID-19 as a pandemic on 11th March 2021. After that, the central government issued various regulations related to the handling of COVID-19. This paper aims to study the regulations issued by the Indonesian government regarding the handling of COVID-19. The research method uses a content analysis method using nVivo software. The study results show that the regulations are quantified, consisting of 30% related to social, 10% related to the budget, 25% related to health, 20% related to COVID-19 handling organizations, and 15% related to economic recovery. This paper also presents the challenges related to the implementation of these regulations

Introduction Diabetes mellitus is a degenerative disease that obliges patients to take continuous healthcare services. During a pandemic situation, all access to healthcare facilities becomes limited. A web-based integrated electronic-healthcare system (IeHS) study was used to overcome this problem. This study aimed to describe patients’ ability to access and understand this web-based application. Method An observational study using a web-based IeHS took place in Muara Tebo, Indonesia, in 2021. A total of 82 outpatients with diabetes mellitus participated in this study. These patients belonged to local community-based diabetes mellitus. Only adult patients accustomed to using smartphones were invited to participate in this study. All participants were taught to access the web-based application through video recordings. They were asked to fill out the form regarding their understanding of the web-based integrated e-healthcare application. This form was sent online. Results From the calculation of the usability scale, the results show that patients have not been able to take advantage of this application in life (the system usability scale (SUS) score 63.38). There is no significant difference between patients’ characteristics and the SUS score. Conclusion Participants’ condition in this study reflects the general state of outpatients. The ability of these participants to access an internet-based application was related to their education level. This condition becomes a challenge for policymakers to improve local human resources to increase their health literacy.

The rapid and uncontrolled transmission of COVID-19, causes the high morbidity and mortality rates of COVID-19 throughout the world, including West Sumatra (CFR 2.27%). This study aims to analyze the mortality of COVID-19 in West Sumatra and the risk factors that influence it. The research design retrospective cohort using secondary data on COVID-19 cases in West Sumatra from March 26, 2020 to June 7, 2021. The sampling technique is total sampling provided that the sample criteria are met. Data analysis used logistic regression method. 44,693 confirmed cases of COVID-19, 968 (2.17%) died and 43,725 (97.83%) did not die. Factors associated with COVID-19 mortality were age (RR 9.79; 95% CI 8.65-11.09), gender (RR 1.51; 95% CI 1.33-1.71), diabetes (RR 10.21; 95% CI 8.91-11.69), hypertension (RR 6.49; 95% CI 5.59-7.54), cardiovascular diseases (RR 9.57; 95% CI 8.17-11.21), COPD (RR 10.51; 95% CI 7.57-14.57), asthma (RR 2.03; 95% CI 1.23-3.34), and kidney diseases (RR 19.87; 95% CI 16.54-23.86). Kidney diseases are the most dominant factor associated with COVID-19 mortality (RR 16.07; 95% CI 11.34-22.78). COVID-19 patients with kidney disease have the highest risk of death. Treatment of patients with comorbidities must be prioritized and improve health promotion in at-risk groups.

Twitter is the most widely used social media platform by millennials in the digital era. One of the positive things that can be utilized is the potential of Twitter as a medium of da'wah, especially for the millennial generation. With the advantage of being able to upload writing in a relatively short time so that it can reach all groups. One of the most famous preachers today, Husen Ja'far, who uses his Twitter account for da'wah media with 713 thousand followers. This study aims to conduct a semiotic analysis of Husein Ja'far's account comments and how Twitter is used as a representation of da'wah media in the digital era. This study uses Charles Sanders Pierce's semiotic analysis model. The sampling technique in this study used simple random sampling. Data collection techniques used by researchers are document analysis and literature study. This study analyzes the responses of Twitter netizens regarding da'wah content uploaded by the @Husen_Jafar account. The results of the study show that there are three signs that form the basis of the researcher's analysis on Husen Ja'far's account. The first is a sign of the many comments that appear in every upload of Husen Ja'far, although the number varies. The second netizen expressed his gratitude for the knowledge that had been shared in Husein Ja'far's upload. And finally, there is a follow-up question regarding Husein Ja'far's explanation of a religious issue.