Evidence map›Paper›PMID 35154274›Full record

ArticleFrontiers in genetics2022

Accelerating Detection of Variants During COVID-19 Surges by Diverse Technological and Public Health Partnerships: A Case Study From Indonesia.

Ariel Pradipta, Meutia Ayuputeri Kumaheri, Lilik Duwi Wahyudi, Anindya Pradipta Susanto, Harryyanto Ishaq Agasi, Anuraj H Shankar, Pratiwi Sudarmono

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ariel PradiptaGenomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia.
Meutia Ayuputeri KumaheriGenomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia.
Lilik Duwi WahyudiGenomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia.
Anindya Pradipta SusantoGenomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia.
Harryyanto Ishaq AgasiGenomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia.
Anuraj H ShankarGenomik Solidaritas Indonesia (GSI) Lab, Jakarta, Indonesia.
Pratiwi SudarmonoIndonesia Medical Education and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.

Funding

Wellcome Trust
6 · The paper itself

Abstract

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.

Indexed as

genome sequencing platformGISAIDIndonesiaSARS-CoV-2turn-around-timevariantwhole-genome-sequencing

Identifiers

PMID35154274
PMCPMC8831855

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.