ABSTRACT
Background: Coronavirus disease 2019 (COVID-19) is a world health problem in early 2020. The first case of COVID-19 was found in Wuhan China, the use of masks is intended to control the transmission of the virus to others and as a preventive measure, namely by providing protection to users who do not infected with viral exposure. The purpose of this study was to estimate the extent of adherence to wearing masks in the elderly and women through a meta-analysis of the primary study which was carried out by the previous authors. Subjects and Method: This study was a meta-analysis with the following PICO, PICO. Population: general population, intervention: age (older > 46) and gender (female), comparison: age (young 12 - 45 years) and gender (male), outcome: use of masks. The articles used in this study were obtained from three databases, namely Google Scholar, Pubmed, and Science Direct. With keywords such as: "mask and COVID-19 transmission", "mask or COVID-19 transmission". The articles included are full-text English with an observational study design from 2020 to 2022. Article selection was carried out using PRISMA flow diagram. Articles were analyzed using the Review Manager 5.3 application. Results: A total of 9 case studies from Europe, America and Asia were selected for systematic review and meta-analysis. The results showed that people over 46 years of age were 1.54 times more likely to use a mask than those under 45 years old (aOR= 1.54;95% CI= 0.83 to 2.85;p= 0.170) and women were 1.12 times more likely to use a mask than men. -male (aOR= 1.12;95% CI= 0.78 to 1.61;p= 0.550). Conclusion: Older age and women are more likely to wear masks.
ABSTRACT
Background: People infected with the COVID-19 virus can infect others through close droplets, these droplets are water-filled particles with a diameter of >5 m - 10 m. ways to reduce or contract COVID-19 by wearing a mask and washing hands both with soap and hand sanitizer. This study aimed to determine the effect of wearing masks and washing hands on the transmission of COVID19. Subjects and Method: This research is a meta-analysis study using PRISMA flowchart guidelines. The article search process was carried out between 2020-2021 using databases from PubMed, Science direct, and Google Schoolar. The article search was carried out taking into account the eligibility criteria defined in the PICO model. Population= community. Intervention= use masks and wash hands. Comparison= do not use masks and wash hands. Outcome= infection with COVID-19. The keywords used are "face mask OR wearing mask AND hand hygiene OR hand washing AND coronavirus OR covid19 OR SAR-CoV-2 AND adjusted odds ratio". Based on the database, there are 17 articles that meet the inclusion criteria. The analysis was carried out using software RevMan 5.3.
ABSTRACT
Background: The COVID-19 vaccine is an effective strategy to prevent viral infection during global pandemic. Health belief model has been recommended to explain the acceptance of COVID-19 vaccination behavior in the community. This study aimed to estimate the perceived suscep-tibility to COVID-19 and the perceived benefit in receiving the COVID-19 vaccine. Subjects and Method: This study used a systematic review study design and a meta-analysis using PICO, Population: Society, Intervention: Perceptions of high susceptibility to COVID-19 and high perceptions of benefits about the COVID-19 vaccine. Comparison: Low perceived suscep-tibility to COVID-19 and low perceived benefit of COVID-19 vaccine, Outcome: Acceptance of COVID-19 vaccine. The articles used in this study came from 4 databases, namely Pubmed, Sciencedirect, SpringerLink and Google Scholar. The keywords used in the article search were as follows "Health Belief Model" OR "HBM" AND "Acceptance" OR "Receive" AND "COVID-19 Vaccine" AND "General Population". The articles included in this study were full paper articles, cross sectional study designs, in 2020-2022 and the size of the relationship of Adj Odds Ratio (aOR).
ABSTRACT
Background: The COVID-19 pandemic has spread around the world and is impacting the mental health of everyone, including healthcare workers. Health workers are at the forefront of treating patients infected with COVID-19. are at high risk of experiencing mental health problems during the COVID-19 pandemic. The purpose of this study was to estimate the magnitude of the effect of COVID-19 patient care on the level of anxiety and depression in nurses in hospitals, with a meta-analysis of primary studies conducted by previous authors. Subjects and Method: This study is a systematic review and meta-analysis with the following PICO, population: nurses. Intervention: serving COVID-19 patients. Comparison: does not serve COVID-19 patients. Outcome: anxiety and depression. The articles used in this study were obtained from three databases, namely Google Scholar, Pubmed, and Science Direct. Keywords to search for articles "Anxiety" AND "Depression" AND "Nurses" OR "Healthcare worker" AND "COVID-19". The included article is a full-text English language with a cross-sectional study design from 2020 to 2021 and reports the adjusted Odds Ratio (aOR) in a multivariate analysis. The selection of articles is done by using PRISMA flow diagram. Articles were analyzed using the Review Manager 5.3 application.
ABSTRACT
In reducing number people who exposed covid-19, Government of Indonesia (GOI) have been issued micro-scale people activities limitation policy. Based on the policy, most people activities should be carried out in indoor area, called Work from Home (WFH). Indoor activities are at risk of expose to air pollution if there is a pollution source and unhealthy air circulation. Air purifier need develop to degrade pollution and inhibit microorganism. One of the promising technologies in air purification is Photocatalytic. Photocatalytic is an eco-friendly technique that emerged as a promising alternative for the degradation both organic and non-organic pollutants. Ceramic material (compared to aluminum and stainless steel) composited with Titanium dioxide (TiO2) has been investigated to have potential as an optimal photocatalytic medium. Aim of this study was to explore ability of ceramic based photocatalytic in degrade non-organic air pollutant. Earthenware ceramic was coated with photocatalyst material and examined their photocatalytic activation. A simple photo-reactor was established, to investigated performance of ceramic based photocatalyst air quality improvement which was contaminated with cigarette smoke. Result of the study was earthenware ceramic based photocatalyst able to improve air quality by reducing concentration of pollutants both physical and chemical parameters significantly.
ABSTRACT
Background: The area of residence is one aspect that affects a person's mental health, especially during the COVID-19 pandemic. The difference in the area of residence determines the frequency of exposure to pandemic information in the form of valid invalid information which is increasingly massive, so that between urban and rural areas there can be a potential risk of depression and anxiety. This study aimed to analyze the effect of residence on the risk of anxiety and depression in the population during the COVID-19 pandemic. Subjects and Method: The meta-analysis was performed by searching for articles from Google Scholar, Pubmed, and ScienceDiret. The keywords used in the article search were "infodemic social media" AND "rural vs urban areas" AND "gender" AND "depression and anxiety" OR "mental health risk". Other keywords used were "COVID-19 information" AND "residence" AND "mental health" OR "depression and anxiety". The inclusion criteria in this study were full-text articles, 2020-2021, with a cross-sectional study design. Article analysis was performed using RevMan 5.3.
ABSTRACT
Background: COVID-19 has become a pandemic in all countries including Indonesia. The death rate from COVID-19 is concentrated in elderly patients and those with comorbidities. COPD is one of the comorbidities that can worsen and even cause death. COPD ranks in the top 3 leading causes of death in the world causing 2.3 million deaths in 2019. This study aims to analyze the effect of COPD comorbidities on mortality and severity of COVID-19 patients. Subjects and Method: This study used a systematic review and meta-analysis by following the PRISMA flow chart. Search articles through journal databases, namely: Google scholar, PubMed, Science Direct and Link Springer. The articles search was done by considering the eligibility criteria defined in the PICO model. P= COVID-19 patient;I= COPD participant;C= without COPD;O= need for mechanical ventilation, ICU admission, and death. Inclusion criteria were cohort full paper articles, in English, multivariate analysis with adjusted Odds Ratio. Articles analyzed with RevMan 5.3.
ABSTRACT
Background: COVID-19 is an infectious disease that spread throughout the world in December 2019. The risk factors for mortality of COVID-19 patients depend on comorbid diseases. Most of the comorbid diseases associated with COVID-19 deaths consist of hypertension, diabetes, obesity, cardiovascular disease, chronic obstructive pulmonary disease, chronic kidney disease, and asthma. This study aims to analyze the effect of comorbid asthma on mortality in COVID-19 patients. Subjects and Method: This research is a meta-analysis study using PRISMA flowchart guidelines. The article search process was carried out between 2020-2021 using databases from PubMed, Google Scholar, and Scopus. Based on the database, there were 15 articles that met the inclusion criteria. The analysis was carried out using the RevMan 5.3 software.
ABSTRACT
Background: COVID-19 is a disease caused by a new coronavirus called SARS-CoV-2. In more severe cases, COVID-19 can cause death. The most severe COVID-19 patient mortality is associated with underlying health conditions. The most common associated comorbidities are pulmonary disease, diabetes, obesity, and old age. However, the effects of obesity and T2DM disease on the 2019 coronavirus disease (COVID-19) pandemic are controversial. This study aims to analyze the magnitude of the influence of obesity and T2DM on COVID-19 mortality. Subjects and Method: This study uses a systematic review and meta-analysis research design. The time of the selected test results is between January 2020 to January 2021. The search for articles is carried out for 1 month. Research data was searched from databases: PubMed, Google Scholar, JAMA, Willey, and Science Direct. Using search keywords: (Type 2 diabetes mellitus OR diabetic) AND (mortality OR death) AND (COVID-19/OR Coronavirus OR SARS-CoV-2) AND ("adjusted odds ratio" OR "aOR"), (obesity OR obese) AND (mortality OR death) AND (COVID-19 OR Coronavirus OR SARS-CoV-2) AND ("adjusted odds ratio" OR "aOR"). The inclusion criteria in this study were full-text articles in English, observational study designs were collected using PRISMA, and analyzed using the Review Manager application (RevMan 5.3).