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1.
Journal of Health Promotion and Behavior ; 6(4):298-306, 2021.
Article in English | CAB Abstracts | ID: covidwho-1836442

ABSTRACT

Background: Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The magnitude of the global spread of COVID-19, and the declaration by the WHO as a public health emergency pandemic, has created an urgent need for rapid diagnosis, vaccines and therapies for COVID-19. This study aims to determine the relationship between perceptions of COVID-19 and vaccination with the Health Belief Model theory approach, one of which is perceived benefit, with the acceptance of COVID-19 vaccination. Subjects and Method: This study uses a systematic review and meta-analysis with PICO, population: people with an age range of 18-65 years. Intervention: health belief model. Comparison: not health belief model. Outcome: Receiving the COVID-19 Vaccine (Perceived Benefit). The articles used were obtained from several databases, namely Google Scholar, Pubmed, Science Direct, MDPI. The article search keywords were "Health Belief Model" AND "vaccination COVID-19" OR COVID-19 vaccine" AND "COVID-19" The inclusion criteria for research articles were full-text articles using a cross-sectional study design, community research subjects with a range of aged 18-65 years, with the result of the study being receiving the COVID-19 Vaccine (Perceived Benefit) after which a multivariate analysis was carried out with adjusted Odds Ratio (aOR). Data were analyzed using the Review Manager application (RevMan 5.4).

2.
Journal of Epidemiology and Public Health ; 6(3):268-280, 2021.
Article in English | CAB Abstracts | ID: covidwho-1727302

ABSTRACT

Background: Coronavirus disease 2019 or known as COVID-19 was a disease caused by severe acute respiratory coronavirus 2 (SARS-CoV-2). There are seven comorbidities that experience the most severity and death when infected with COVID-19, namely hypertension, diabetes mellitus, cardiovascular disease, chronic obstructive pulmonary disease, chronic kidney disease, cerebrovascular disease, and cancer. This study aimed to estimate the magnitude of the risk of death in COVID-19 patients with comorbid chronic kidney disease, with a meta-analysis of primary studies conducted by previous authors. Subjects and Method: This study was a systematic review and meta-analysis with the following PICO, population: COVID-19 patients. Intervention: comorbid chronic kidney disease. Comparison: no comorbid chronic kidney disease. Outcome: death. The articles used in this study were obtained from three databases, namely Google Scholar, Pubmed, and Science Direct. Keywords to search for articles "Chronic Renal Disease" OR "Chronic Kidney Disease" AND COVID-19 OR SARS-CoV-2 AND Mortality OR Death. The articles included are full-text English with a cohort study design from 2020 to 2021 and report on adjusted Odds Ratio (aOR) in multivariate analysis. Article selection is done by using PRISMA flow diagram. Articles were analyzed using the Review Manager 5.3 application.

3.
Journal of Health Policy and Management ; 6(2):139-147, 2021.
Article in English | CAB Abstracts | ID: covidwho-1302888

ABSTRACT

Background: On March 11, 2020, the World Health Organization (WHO) has declared an outbreak of a new coronavirus (COVID-19) as a global pandemic. In responding to the threat of the COVID-19 virus pandemic, policymakers have implemented a policy lockdown that can cause psychological distress, one of which is anxiety. This study aims to examine the effect of the policy lockdown on anxiety in adults using a meta-analysis. Subjects and Method: Meta-analysis was performed by searching for articles from the database, namely PubMed, Google Scholar, Science Direct, Scopus, and Crossref. The keywords used are "Anxiety" AND "Adult" AND "COVID-19" OR "SARS-CoV-2" AND "Lockdown" OR "Movement Restriction" OR "quarantine" OR "shutdown". The inclusion criteria in this study were full-text articles with a cross-sectional design, in English, published in the period 2019-2021. Analysis of the article using RevMan 5.3.

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