Author: Nidom, Reviany V.; Indrasari, Setyarina; Normalina, Irine; Nidom, Astria N.; Afifah, Balqis; Dewi, Lestari; Putra, Andra Kusuma; Ansori, Arif N. M.; Kusala, Muhammad K. J.; Alamudi, Mohammad Y.; Nidom, Chairul A.
Title: An Updated Investigation Prior To COVID-19 Vaccination Program In Indonesia: Full-Length Genome Mutation Analysis Of SARS-CoV-2 Cord-id: dvtwe3r9 Document date: 2021_1_27
ID: dvtwe3r9
Snippet: Introduction Indonesia kick-started the big project of COVID-19 vaccination program in January 2021 by employed vaccine to the president of Indonesia. The outbreak and rapid transmission of COVID-19 have endangered the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as 12 January 2021. Methods All data of isolates was extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV databas
Document: Introduction Indonesia kick-started the big project of COVID-19 vaccination program in January 2021 by employed vaccine to the president of Indonesia. The outbreak and rapid transmission of COVID-19 have endangered the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as 12 January 2021. Methods All data of isolates was extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV database. CoVsurver was employed to investigate the full-length genome mutation analysis of all isolates. Furthermore, this study also focused on the unlocking of mutation in Indonesian SARS-CoV-2 isolates S protein. WIV04 isolate that was originated from Wuhan, China was used as a virus reference according to CoVsurver default. All data was visualized using GraphPad Prism software, PyMOL, and BioRender. Results This study result showed that a full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates was successfully discovered. Every single mutation in S protein was described and then visualised by employing BioRender. Furthermore, it also found that D614G mutation appeared in 103 Indonesian SARS-CoV-2 isolates. Conclusion To sum up, this study helps to observe the spread of the COVID-19 transmission. However, it would like to propose that the epidemiological surveillance and genomics studies might be improved on COVID-19 pandemic in Indonesia.
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