Publikasi Scopus FKUI Terkait Covid-19 Update 13 Desember 2021

Pradipta A., Kumaheri M.A., Wahyudi L.D., Susanto A.P., Agasi H.I., Shankar A.H., Sudarmono P.
57216644806;56460248100;57189382862;57221504275;57451157200;57451338400;6507855437;
Accelerating Detection of Variants During COVID-19 Surges by Diverse Technological and Public Health Partnerships: A Case Study From Indonesia
2022
Frontiers in Genetics
13
801332
Genomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia; Indonesia Medical Education and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia; Eijkman-Oxford Clinical Research Unit, Jakarta, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom; Indonesian Society for Clinical Microbiology, Tangerang, Indonesia
Pradipta, A., Genomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia, Indonesia Medical Education and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia; Kumaheri, M.A., Genomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia; Wahyudi, L.D., Genomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia; Susanto, A.P., Genomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia, Indonesia Medical Education and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia; Agasi, H.I., Genomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia; Shankar, A.H., Genomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia, Eijkman-Oxford Clinical Research Unit, Jakarta, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom; Sudarmono, P., Indonesia Medical Education and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia, Indonesian Society for Clinical Microbiology, Tangerang, Indonesia
Early detection of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) variants and use of data for public health action requires a coordinated, rapid, and high throughput approach to whole genome sequencing (WGS). Currently, WGS output from many low- and middle-income countries (LMIC) has lagged. By fostering diverse partnerships and multiple sequencing technologies, Indonesia accelerated SARS-CoV-2 WGS uploads to GISAID from 1,210 in April 2021 to 5,791 in August 2021, an increase from 11 submissions per day between January to May, to 43 per day between June to August. Turn-around-time from specimen collection to submission decreased from 77 to 5 days, allowing for timely public health decisions. These changes were enabled by establishment of the National Genomic Surveillance Consortium, coordination between public and private sector laboratories with WGS capability, and diversification of sequencing platform technologies. Here we present how diversification on multiple levels enabled a rapid and significant increase of national WGS performance, with potentially valuable lessons for other LMICs. Copyright © 2022 Pradipta, Kumaheri, Wahyudi, Susanto, Agasi, Shankar and Sudarmono.
genome sequencing platform; GISAID; Indonesia; SARS-CoV-2; turn-around-time; variant; whole-genome-sequencing
Article; clinical outcome; coronavirus disease 2019; genetic variability; genome analysis; health care cost; high throughput sequencing; human; Indonesia; low income country; middle income country; pandemic; polymerase chain reaction; private sector; public health; RNA virus; Severe acute respiratory syndrome coronavirus 2; vaccination; virus detection; whole genome sequencing
Frontiers Media S.A.
16648021
Article
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