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All Journal Jurnal Pengabdian Masyarakat AbdiMas Narra J
Saputra, Sugiyono
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Biochemistry, Genetics & Molecular Biology Education Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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PENINGKATAN PENGETAHUAN MASYARAKAT KAMPUS MELALUI EDUKASI ONLINE TENTANG MEKANISME COVID-19 Mulyani, Erry Yudhya; Pamungkas, Rian Adi; Ummanah, Ummanah; Arrozi, Muhammad Fachruddin; Saputra, Sugiyono
Jurnal Pengabdian Masyarakat AbdiMas Vol 6, No 4 (2020): Jurnal Pengabdian Masyarakat Abdimas
Publisher : Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/abd.v6i4.3548

Abstract

There were 23,851 Covid-19 cases in Indonesia at the end of May 2020, with a death rate of 1,473. Coronavirus is a group of viruses that can cause disease in animals or humans. Covid-19 is a contagious disease, with a new type of virus that occurred in Wuhan, China, in December 2019. The purpose of this activity is to increase knowledge and demeanour about the mechanism of Covid-19 as an effort to prevent the Covid-19 disease. The method of activity is carried out with socialization (lecture) and FGD (Forum Group Discussion). The target of this activity is the campus community consisting of staff-bureaus, lecturers, and the rest of the university staff. The number of participants who participated was 79 people. Most were from the faculty of law (21.5%), health sciences (21.5%), psychology (21.5%), and computer science (16.5%). The results of the socialization showed that most participants understood about the Covid-19 mechanism; knowledge (good) 67.1% and attitude (positive) 59.5%. The results of the FGD showed that participants mainly discussed the dangers of the virus (transmission mechanism, virus resistance, ways of working) (52.4%), prevention efforts (23.8%), infected subjects (14.3%) and the Covid-19 symptoms (9.5%). As many as 92.0% expressed an understanding and tried to prevention based on information provided. This activity increased knowledge about the Covid-19 mechanism in preventing transmission by 24.9%. Thus, it is important to carry out an educational activities especially with online methods routinely and periodically in an effort to increase knowledge regarding the conditions of the pandemic.  Keywords: Online Education, Covid-19, Knowledge
SARS-CoV-2 lineages and naso-oropharyngeal bacterial communities in COVID-19 reinfection: A study in West Java, Indonesia Sativa, Alvira R.; Asyifa, Isnaini Z.; Adzdzakiy, Muhammad M.; Iryanto, Syam B.; Nugroho, Herjuno A.; Wulandari, Ari S.; Yanthi, Nova D.; Nasrulloh, Mukh F.; Rahmawati, Ema; Alamanda, Cut NC.; Ristandi, Ryan B.; Rachman, Rifky W.; Robiani, Rini; Agustiyani, Dian F.; Wisnuwardhani, Popi H.; Wardiana, Andri; Ningrum, Ratih A.; Dharmayanthi, Anik B.; Prasetyoputri, Anggia; Fibriani, Azzania; Saputra, Sugiyono
Narra J Vol. 5 No. 3 (2025): December 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i3.2901

Abstract

Continuous emergence of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants may influence viral transmission dynamics and alter interactions with the respiratory microbiota, potentially increasing the risks of reinfection. This study investigated cases of coronavirus disease 2019 (COVID-19) reinfection in West Java, Indonesia, with the aim of identifying the SARS-CoV-2 variants involved, characterizing their genomic mutations, and profiling the nasal and oropharyngeal microbiota associated with reinfection. Naso-oropharyngeal swab samples were collected from 42 COVID-19 reinfection cases and nine new infection cases. Whole genome sequencing was performed using Oxford Nanopore Technologies (ONT) MinION Mk1C and variant analysis was conducted using ARTIC workflow. Nexstrain and PANGOLIN were used to determine the lineages. Phylogenetic trees were constructed using IQ-tree and FigTree. Key mutations were identified by Cov-GLUE. Additionally, 16s rRNA amplicon sequencing was conducted on nine samples from each group to analyze bacterial communities using EPI2ME and MicrobiomeAnalyst. All identified SARS-CoV-2 strains in this study were Delta variant (B.1.617.2), predominantly lineage AY.23 (n=46, 90%), followed by AY.24 (n=3) and AY.109 (n=2). No differences in SARS-CoV-2 lineages were observed between reinfection and new infection cases. Unique hotspot mutations found only in COVID-19 reinfections included NSP3, V220A, S_T676I, ORF7a_V82A, and ORF7a_TI20I. Bacterial community analysis revealed no significant diversity differences (alpha and beta) between the two groups. While the most dominant phylum remained Terrabacteria in both groups, Streptococcus was dominant in COVID-19 reinfections, whereas Prevotella was dominant in new infection cases. Notably, Haemophilus parainfluenzae, Fusobacterium periodonticum, Fusobacterium nucleatum, and Leptotrichia buccalis had significant increases in reinfection cases. Despite the similarity in SARS-CoV-2 lineages causing both COVID-19 reinfection and new infection cases, the presence of distinct key mutations and bacterial species suggest their potential as biomarkers within this group.
Co-Authors Adzdzakiy, Muhammad M. Agustiyani, Dian F. Alamanda, Cut NC. Andri Wardiana, Andri Asyifa, Isnaini Z. Dharmayanthi, Anik B. Ema Rahmawati Erry Yudhya Mulyani Fibriani, Azzania Iryanto, Syam B. MF. Arrozi Adhikara Nasrulloh, Mukh F. Ningrum, Ratih A. Nugroho, Herjuno A. Prasetyoputri, Anggia Rachman, Rifky W. Rian Adi Pamungkas Ristandi, Ryan B. Robiani, Rini Sativa, Alvira R. Ummanah Ummanah, Ummanah Wisnuwardhani, Popi H. Wulandari, Ari S. Yanthi, Nova D.