Evidence map›Paper›PMID 34462754›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Global disparities in SARS-CoV-2 genomic surveillance.

Anderson F Brito, Elizaveta Semenova, Gytis Dudas, Gabriel W Hassler, Chaney C Kalinich, Moritz U G Kraemer, Joses Ho, Houriiyah Tegally, George Githinji, Charles N Agoti and 39 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. 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, 124 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

49 authors at 20 institutions in 15 countries.

Anderson F BritoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Elizaveta SemenovaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Gytis DudasDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Gabriel W HasslerDepartment of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Chaney C KalinichDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Moritz U G KraemerDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Joses HoGISAID Global Data Science Initiative, Munich, Germany.
Houriiyah TegallyKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.
George GithinjiKEMRI-Wellcome Trust Research Programme, Kenya.
Charles N AgotiKEMRI-Wellcome Trust Research Programme, Kenya.
Lucy E MatkinDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Charles WhittakerMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Danish Covid-19 Genome Consortium
COVID-19 Impact Project
Network for Genomic Surveillance in South Africa (NGS-SA)
GISAID core curation team
Benjamin P HowdenMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Vitali SintchenkoSydney Institute for Infectious Diseases, The University of Sydney, Sydney, New South Wales, Australia.
Neta S ZuckermanCentral Virology Laboratory, Israel Ministry of Health, Sheba Medical Center, Israel.
Orna MorCentral Virology Laboratory, Israel Ministry of Health, Sheba Medical Center, Israel.
Heather M BlankenshipMichigan Department of Health and Human Services, Bureau of Laboratories, Lansing, Michigan, USA.
Tulio de OliveiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.
Raymond T P LinNational Centre for Infectious Diseases, Singapore.
Marilda Mendonça SiqueiraLaboratory of Respiratory Viruses and Measles, FIOCRUZ, Rio de Janeiro, Brazil.
Paola Cristina ResendeLaboratory of Respiratory Viruses and Measles, FIOCRUZ, Rio de Janeiro, Brazil.
Ana Tereza R VasconcelosLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Brazil.
Fernando R SpilkiFeevale University, Institute of Health Sciences, Novo Hamburgo, Rio Grande do Sul, Brazil.
Renato Santana AguiarLaboratório de Biologia Integrativa, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Ivailo AlexievNational Center of Infectious and Parasitic Diseases, Sofia, Bulgaria.
Ivan N IvanovNational Center of Infectious and Parasitic Diseases, Sofia, Bulgaria.
Ivva PhilipovaNational Center of Infectious and Parasitic Diseases, Sofia, Bulgaria.
Christine V F CarringtonDepartment of Preclinical Sciences, Faculty of Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago.
Nikita S D SahadeoDepartment of Preclinical Sciences, Faculty of Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago.
Céline GurryGISAID Global Data Science Initiative, Munich, Germany.
Sebastian Maurer-StrohGISAID Global Data Science Initiative, Munich, Germany.
Dhamari NaidooHealth Emergencies Programme, World Health Organization Regional Office for South-East Asia, New Delhi, India.
Karin J von EijeDepartment of Medical Microbiology and Infection Prevention, Division of Clinical Virology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Mark D PerkinsEmerging Diseases and Zoonoses Unit, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
Maria van KerkhoveEmerging Diseases and Zoonoses Unit, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
Sarah C HillRoyal Veterinary College, Hawkshead, United Kingdom.
Ester C SabinoInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Christopher DyeDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Samir BhattMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Seth FlaxmanDepartment of Computer Science, University of Oxford, Oxford, United Kingdom.
Marc A SuchardDepartment of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Nathan D GrubaughDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Guy BaeleDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
Nuno R FariaDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Yale University · USThe University of Sydney · AUUniversity of Oxford · GBAgency for Science, Technology and Research · SGUniversity of the West Indies · TTLaboratório Nacional de Computação Científica · BRRoyal Veterinary College · GBThe University of Melbourne · AUUniversidade Federal de Minas Gerais · BRUniversidade Feevale · BRUniversity of California, Los Angeles · USUniversity of Copenhagen · DKImperial College London · GBIsrael Ministry of Health · ILKenya Medical Research Institute · KEMichigan Department of Health and Human Services · USNational Center of Infectious and Parasitic Diseases · BGPwani University · KERega Institute for Medical Research · BESheba Medical Center · IL

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Technology CoreU19AI135995 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI Kristian Graugaard Andersen · 2018 to 2026
$32.0M
Short-Term Reserch Training: Students in Health SchoolsT35HL007649 · NHLBI · YALE UNIVERSITY · PI Sarwat I Chaudhry, Erica L Herzog · 1987 to 2026
$5.7M
Statistical Innovation to Integrate Sequences and Phenotypes for Scalable Phylodynamic InferenceR01AI153044 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Marc A. Suchard · 2021 to 2026
$2.4M
Scalable Inference in Statistical Models of Viral Evolution and Human HealthF31AI154824 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HASSLER, GABRIEL WILLIAM · 2021 to 2022
$64k
Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1Medical Research Council MR/S019510/1Medical Research Council MR/V038109/1NCATS NIH HHS UL1 TR001863NHLBI NIH HHS T35 HL007649NIAID NIH HHS F31 AI154824NIAID NIH HHS R01 AI153044NIAID NIH HHS U19 AI135995Wellcome Trust
6 · The paper itself

Abstract

Genomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impact of sequencing intensity and turnaround times (TAT) on variant detection in 167 countries. Most countries submit genomes >21 days after sample collection, and 77% of low and middle income countries sequenced <0.5% of their cases. We found that sequencing at least 0.5% of the cases, with a TAT <21 days, could be a benchmark for SARS-CoV-2 genomic surveillance efforts. Socioeconomic inequalities substantially impact our ability to quickly detect SARS-CoV-2 variants, and undermine the global pandemic preparedness.

Identifiers

PMID34462754
PMCPMC8404891
OpenAlexW3193457061

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.