Evidence map›Paper›PMID 34271187›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2021

Genetic and evolutionary analysis of SARS-CoV-2 circulating in the region surrounding Islamabad, Pakistan.

Sana Tamim, Nidia S Trovao, Peter Thielen, Tom Mehoke, Brian Merritt, Aamer Ikram, Muhammad Salman, Muhammad Masroor Alam, Massab Umair, Nazish Badar and 2 more

Abstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

12 authors.

Sana TamimDepartment of Virology/Immunology, National Institute of Health, Park Road, Chak Shahzad, Islamabad 45500, Pakistan. Electronic address: s.tamim@nih.org.pk.
Nidia S TrovaoFogarty International Centre, National Institute of Health, Bethesda, MD, USA.
Peter ThielenJohns Hopkins University Applied Physics Laboratory, USA.
Tom MehokeJohns Hopkins University Applied Physics Laboratory, USA.
Brian MerrittJohns Hopkins University Applied Physics Laboratory, USA.
Aamer IkramDepartment of Virology/Immunology, National Institute of Health, Park Road, Chak Shahzad, Islamabad 45500, Pakistan.
Muhammad SalmanDepartment of Virology/Immunology, National Institute of Health, Park Road, Chak Shahzad, Islamabad 45500, Pakistan.
Muhammad Masroor AlamWHO Regional Reference Laboratory, Polio eradication Initiative, National Institute of Health, Islamabad, Pakistan.
Massab UmairDepartment of Virology/Immunology, National Institute of Health, Park Road, Chak Shahzad, Islamabad 45500, Pakistan.
Nazish BadarDepartment of Virology/Immunology, National Institute of Health, Park Road, Chak Shahzad, Islamabad 45500, Pakistan.
Adnan KhurshidWHO Regional Reference Laboratory, Polio eradication Initiative, National Institute of Health, Islamabad, Pakistan.
Nayab MehmoodWHO Regional Reference Laboratory, Polio eradication Initiative, National Institute of Health, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic epidemiology of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has provided global epidemiological insight into the COVID-19 pandemic since it began. Sequencing of the virus has been performed at scale, with many countries depositing data into open access repositories to enable in-depth global phylogenetic analysis. To contribute to these efforts, we established an Oxford Nanopore Technologies (ONT) sequencing capability at the National Institutes of Health (NIH), Pakistan. This study highlights multiple SARS-CoV-2 lineages co-circulating during the peak of a second COVID-19 wave in Pakistan (Nov 2020-Feb 2021), with virus origins traced to the United States of America and Saudi Arabia. Ten SARS-CoV-2 positive samples were used for ONT library preparation. Sequence and phylogenetic analysis determined that the patients were infected with lineage B.1.1.250, originally identified in the United Kingdom and Bangladesh during March and April of 2020, and in circulation until the time of this study in Europe, USA and Australia. Lineage B.1.261 was originally identified in Saudi Arabia with widespread local dissemination in Pakistan. One sample clustered with the parental B.1 lineage and the other with lineage B.6 originally from Singapore. In the future, monitoring the evolutionary dynamics of circulating lineages in Pakistan will enable improved tracing of the viral spread, changing trends of their expansion trajectories, persistence, changes in their demographic dynamics, and provide guidance for better implementation of control measures.

Indexed as

COVID-19HumansNasopharynxPakistanPandemicsPhylogenyRNA, ViralSARS-CoV-2Whole Genome SequencingRNA, ViralBayesian analysisCOVID-19GenomicsPakistanPhylodynamicsSARS-CoV-2Viral evolution

Identifiers

PMID34271187
PMCPMC8277555

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.