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Comparison of SARS-CoV-2 Variant Screening and Whole Genome Sequencing at an Indonesian Tertiary Hospitals Hapsari, Rebriarina; Kesumayadi, Irfan; Sari, Desvita; Anjarwati, Dwi Utami; Alfiyuliani, Nesia Hani; Mujahidah, Mujahidah; Sari, Iva Puspita; Hadi, Purnomo
Journal of Biomedicine and Translational Research Vol 9, No 3 (2023): December 2023
Publisher : Faculty of Medicine, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbtr.v9i3.19147

Abstract

Background: The global COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), experienced a surge in cases with the emergence of the Omicron variant. Despite increasing vaccination coverage, Indonesia witnessed peaks in COVID-19 cases. Variant screening and whole genome sequencing (WGS) play a crucial role in identifying SARS-CoV-2 variants and monitoring their spread.Objective: The objective of this study was to compare variant screening results with WGS data, assess the prevalence of subvariants, and analyze their correlation with demographic and cycle threshold (CT) values.Methods: Between November 7th and 18th, 2022, variant screening and WGS were conducted on samples with CT values below 30. Variant screening utilized the mBioCov-19+ VarScreen assay, while WGS was performed on the Oxford Nanopore Technologies (ONT) platform. Bioinformatics analysis was performed using epi2melabs. Demographic data and CT values were analyzed. Results: Out of 89 subjects, all tested positive for the Omicron variant through variant screening. The variant screening identified two subvariants: Omicron BA.2 (64%) and Omicron B.1.1.529.1 (36%). WGS revealed that the XBB subvariant was the most dominant (52.8%), followed by BQ.1 (22.5%) and BA.5 (13.5%). When VarScreen indicated BA.2, the majority of WGS results showed XBB (82.5%), while for B.1.1.529.1, the majority of WGS results were BQ.1 (59.4%), followed by BA.5 (37.5%). XBB was the most prevalent variant in both females and males, while BQ.1 was more dominant in females (80%). No infections were detected among children aged 1-5 years. All variants had CT values below 24.Conclusion: Variant screening provides accurate and quick results for detecting the Omicron variant in laboratories without WGS capacity. However, it is important to continuously update the screening methodology based on the prevailing circulating variants. During the study period, XBB emerged as the predominant subvariant of the Omicron variant.
The Influence of Communication and Work Environment on Employee Performance in District Government Offices Sari, Iva Puspita; Syahputra, Erwin; Saputra, Beny Mahyudi; Dewi, Anita Sumelvia
JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS Vol. 4 No. 3 (2025): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jhssb.v4i3.1807

Abstract

Understanding the major determinants of employee performance is essential for effective organizational management, especially in public sector organizations where the welfare of the community is directly impacted by service quality. Employee productivity and organizational effectiveness are known to be significantly influenced by communication and the work environment. The main aim of this study is to investigate the influence of Communication and Work Environment on Employee Performance at the Gurah District Office in Kediri Regency. This research focuses on variables such as communication (X1), work environment (X2), and employee performance (Y). The research methodology involves gathering data through interviews, observations, literature reviews, and surveys, using a quantitative approach. Several tests are carried out to analyse the data, including validity testing, reliability testing, classical assumption testing, multiple linear regression testing, t-testing, f-testing, and calculation of the coefficient of determination. The research in question utilised a thorough sampling method, encompassing all 36 employees at the Gurah district office based on the study's findings. Data analysis was conducted using SPSS 25.0 software with a significance level of 0.05. The results revealed that Communication (X1) had a significant effect on employee performance with a p-value of 0.032, which is below the 0.05 threshold. Similarly, Work Environment (X2) demonstrated a significant influence on employee performance with a p-value of 0.005, also below the significance level. These findings confirm that both communication and work environment significantly impact employee performance at the Gurah District Office in Kediri Regency.