In the US alone, 1.2 million people were diagnosed with HIV in 2013 (Centers for Disease Control and Prevention [CDC], 2015). People living with HIV experience stigma-related disadvantages that affect their quality of life. Stigma manifests in multiple forms (e.g. prejudice and discrimination) (Mahajan, 2008). Consequently, stigma contributes to barriers for effective intervention, prevention, treatment, and care for PLHIV (International Center for Research on Women (ICRW), 2015). In this pilot study, the researcher implemented a body mapping workshop for clients of AIDS Athens. Through a mixed methods of observation, interview, and questionnaire for data collection, the result of the process and outcome evaluation of the body mapping workshop showed that: (1) the intervention was implemented as intended; (2) the workshop can be replicated in the Athens setting; (3) the workshop can be improved upon for future delivery (4) the workshop did not meet its intended outcome objectives (an increase of resilience and self-esteem scores of 10% post-intervention); (5) all participants indicated good to high level of satisfaction with the workshop.
Indonesia has distributed the COVID-19 vaccinations to its people starting from January 2021 based on certain priorities to deal with COVID-19 pandemic. News of deaths after the COVID-19 vaccination has made some people hesitate to get vaccinated. This study aims to depict the pattern and determinant of public interest in COVID-19 vaccine information using Google Trends data. The pattern can be used as a suggestion to the government to conduct a campaign on the COVID-19 vaccine. Several topics related to the COVID-19 vaccine were collected from Google Trends and then clustered by the province using K-Means. By total within sum of square, best number of clusters is two. Then, a logistic regression analysis was done with cluster as response variable to find out what factors made people interested in the COVID-19 vaccine topic. As a result, percentage of people who received the first dose of the COVID-19 vaccine and the rate of COVID-19 patients who were treated had influenced public interest in the COVID-19 vaccine. Hence, the campaign must be transparent so that the public can see both the good and bad effects of vaccination. It will help to reduce the number of people dying after receiving vaccinations.
Musculoskeletal complaints are often experienced by workers, especially vegetable farmers who work repeatedly; resulting in a decrease in muscle and bone strength. This study aimed to determine the relationship between work position and musculoskeletal complaints in vegetable farmers. The type of research used is an observational study with a cross-sectional design. The sample in this study was 30 vegetable farmers recruited by using the purposive sampling technique. The research instrument used a Nordic Body Map questionnaire and REBA (Rapid Entire Body Assessment) sheets. The results of statistical tests using the Spearman’s Rho Correlation test showed there is no relationship between age (p-value = 0.069) and the working position bent at the time of hoeing (p-value = 0.093) with musculoskeletal complaints. However, there is a relationship between working period (p-value = 0.005), standing work position when lifting weights (p-value = 0.045), and sitting position when harvesting (p-value = 0.002) with musculoskeletal complaints. It is important for vegetable farmers to improve their work positions to be more comfortable and safer, to consume healthy food for muscles and bones, and to get adequate rest.
This research aims to find out the influence of intellectual capital disclosure, such as human resources, structural capital and relational capital on the performance of private universities. The analysis units in the study were 149 private universities, determined by purposive sampling. Data analysis uses logistic regression as one of the multivariate data analysis techniques. The findings show that human capital, structural capital and relational capital have a simultaneous effect on the performance of private universities.
Background: Pesticides can poison users if they do not follow pesticide use standards. This is because the active substances in these pesticide products can cause acute pain. Objective: The study aimed to identify the factors of safe behavior in using pesticides in farmers. Methods: This study employed a scoping review method. The literature search was carried out on the indexed databases of Google Scholar, Science Direct, Scopus, PubMed, Free Medical Journals, and ProQuest in English. There were 450 research articles, and 15 met the inclusion criteria. From the 15 journals, information was collected from the publication year 2015-2021, article titles, design, population, interventions, and results. Relevant study articles related to the topics were qualitatively analyzed using NVIVO-12 Plus. Results: The analysis showed that knowledge, safe behavior of using pesticides, farmers' education, and personal protective equipment are the dominant factors influencing the safe behavior of using pesticides on farmers. Conclusion: Farmers who do not comply with safe behavior will have a higher health risk because of the toxicity of pesticides that can be directly inhaled and enter through the pores of the farmers’ skin.
Abstract BACKGROUNDS : The COVID-19 pandemic has created a global health emergency that requires a public health response to prevent the spread of the virus. AIM: The purpose of this study was to determine the prediction model for the incidence of COVID-19 based on community behavior. METHODS: This study used a cross-sectional study design. The study population was all people aged >18 years in Medan City and obtained a sample of 395 people with stratified random sampling technique. The research instrument used a questionnaire in google form, then, using Microsoft Office Excel, we transferred the data from the survey to a computer program. Furthermore, the data was analyzed using the neural networks method. Then the features importance will be calculated using the Random Forest with Mean Decrease Impurity (RF-MDI) method. RESULT: The results showed that based on the confusion matrix, the prediction value for those who did not suffer from COVID-19 was correct from negative data = 8, the correct prediction value for COVID-19 from positive data = 8. While the incorrect prediction value for machines that predicted negative results but the actual data was positive = 2, and predicts a positive result but the actual data is negative = 4. Thus, based on the neural net classification method, the accuracy value is 72%. The results of this study indicate that poor preventive behavior by the community greatly affects the spread of COVID-19 cases. CONCLUSION: Poor community behavior, such as not limiting their interaction/contact with other people, not exercising frequently, leaving the house without keeping a safe distance, and not washing hands regularly, can all impact COVID-19 transmission in the community Keywords: Behavior Prediction Model, COVID-19 Incidence, Neural Network
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