Evidence map›Paper›PMID 34757638›Full record

ArticleJournal of medical virology2022

Changing predominant SARS-CoV-2 lineages drives successive COVID-19 waves in Malaysia, February 2020 to March 2021.

I-Ching Sam, Yoong Min Chong, Azwani Abdullah, Jolene Yin Ling Fu, M Shahnaz Hasan, Fadhil Hadi Jamaluddin, Adeeba Kamarulzaman, Koo Koon Lim, Mohd Afiq Mohd Nor, Yong Kek Pang and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mental Health and the COVID-19 Pandemic: Observational Evidence from Malaysia.International journal of environmental research and public health · 2023
    Article
  5. Article
  6. Estimating the infection burden of COVID-19 in Malaysia.PLoS neglected tropical diseases · 2022
    Article
  7. Corrigendum.Journal of medical virology · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

I-Ching SamDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0002-1296-7898
Yoong Min ChongDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0001-7004-1789
Azwani AbdullahDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Jolene Yin Ling FuDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
M Shahnaz HasanDepartment of Anesthesiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Fadhil Hadi JamaluddinDepartment of Anesthesiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Adeeba KamarulzamanDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Koo Koon LimDepartment of Medical Microbiology, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
Mohd Afiq Mohd NorDepartment of Emergency Medicine, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
Yong Kek PangDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Sasheela PonnampalavanarDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Muhammad Fadzil ShahibDepartment of Medical Microbiology, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
Sharifah Faridah Syed OmarDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Jonathan Chia Jui ChanInstitute of Health and Community Medicine, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
David PereraInstitute of Health and Community Medicine, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
Yoke Fun ChanDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0001-7089-0510

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaysia has experienced three waves of coronavirus disease 2019 (COVID-19) as of March 31, 2021. We studied the associated molecular epidemiology and SARS-CoV-2 seroprevalence during the third wave. We obtained 60 whole-genome SARS-CoV-2 sequences between October 2020 and January 2021 in Kuala Lumpur/Selangor and analyzed 989 available Malaysian sequences. We tested 653 residual serum samples collected between December 2020 to April 2021 for anti-SARS-CoV-2 total antibodies, as a proxy for population immunity. The first wave (January 2020) comprised sporadic imported cases from China of early Pango lineages A and B. The second wave (March-June 2020) was associated with lineage B.6. The ongoing third wave (from September 2020) was propagated by a state election in Sabah. It is due to lineage B.1.524 viruses containing spike mutations D614G and A701V. Lineages B.1.459, B.1.470, and B.1.466.2 were likely imported from the region and confined to Sarawak state. Direct age-standardized seroprevalence in Kuala Lumpur/Selangor was 3.0%. The second and third waves were driven by super-spreading events and different circulating lineages. Malaysia is highly susceptible to further waves, especially as alpha (B.1.1.7) and beta (B.1.351) variants of concern were first detected in December 2020/January 2021. Increased genomic surveillance is critical.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralHumansMalaysiaPhylogenySeroepidemiologic StudiesAntibodies, ViralCOVID-19Malaysiaphylogenetic analysisSARS-CoV-2seroprevalencewhole genome sequencing

Identifiers

PMID34757638
PMCPMC8661738

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.