Distribution of SARS-CoV-2 Variants in West Java Based on Genomic Surveillance Data, 2021-2022

Cut Nur Cinthia Alamanda, Ida Parwati, Gusti Ayu Prani Pradani, A. Fibriani
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Abstract

Coronavirus Disease 19 (COVID-19), the disease caused by SARS-CoV-2, was declared a pandemic in early 2020. With the emergence of different strains of SARS-CoV-2 mutations, efforts to reduce infection rates and help vulnerable populations remain in question. Genomic surveillance has been carried out on COVID-19 cases to detect new variants and monitor trends in circulating variants. Genomic surveillance is important because it can detect virus characteristics, estimate the prevalence of specific variants in the community, assess the extent to which medication can combat the variants, and analyze virus transmission in outbreaks. The purpose of this study was to investigate the prevalence of SARS-CoV-2 genomic variants in West Java and to inform policymakers in developing strategies to reduce the transmission rate of the SARS-CoV-2 virus. According to the inclusion criteria, variant sequence data were acquired from Global Initiative on Sharing All Influenza Data (GISAID) for the period January 1st, 2021-December 31st, 2022 and evaluated cross-sectional descriptively. This data were obtained from West Java. The majority of the samples came from Bandung Regency, where the Delta (AY), BA1 and BA5 variations predominated. The dynamic of the SARS-CoV-2 cases was influenced by government policies such as imposition of the restriction on community activities and public holiday. Because SARS-CoV-2 is subject to mutations, the various varieties must still be monitored to determine the influence on society. In the future, surveillance for any microorganisms with the potential to cause epidemics is urgently needed in order to mitigate the spread of the disease.
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2021-2022 年基于基因组监测数据的西爪哇 SARS-CoV-2 变异株分布情况
由 SARS-CoV-2 引起的冠状病毒病 19(COVID-19)于 2020 年初被宣布为大流行病。随着 SARS-CoV-2 不同变异株的出现,降低感染率和帮助易感人群的工作仍然受到质疑。目前已对 COVID-19 病例进行了基因组监测,以检测新的变异株并监测流行变异株的趋势。基因组监测之所以重要,是因为它可以检测病毒特征、估计特定变异体在社区中的流行程度、评估药物对抗病毒变异体的作用以及分析病毒在疫情中的传播情况。本研究旨在调查 SARS-CoV-2 基因组变异体在西爪哇的流行情况,为决策者制定降低 SARS-CoV-2 病毒传播率的策略提供信息。根据纳入标准,从全球流感数据共享倡议(GISAID)获得了 2021 年 1 月 1 日至 2022 年 12 月 31 日期间的变异序列数据,并进行了横断面描述性评估。这些数据来自西爪哇。大部分样本来自万隆地区,其中以三角洲(AY)、BA1 和 BA5 变异为主。SARS-CoV-2 病例的动态变化受到政府政策的影响,如限制社区活动和公共假期。由于 SARS-CoV-2 会发生变异,因此仍需对各种变异进行监测,以确定其对社会的影响。今后,急需对任何可能导致流行病的微生物进行监测,以减少疾病的传播。
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