Evidence map›Paper›PMID 39705269›Full record

ArticlePLOS global public health2024

"The COVID-19 pandemic in BRICS: Milestones, interventions, and molecular epidemiology".

Stephanie van Wyk, Monika Moir, Anindita Banerjee, Georgii A Bazykin, Nidhan K Biswas, Nikita Sitharam, Saumitra Das, Wentai Ma, Arindam Maitra, Anup Mazumder and 10 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Stephanie van WykCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Monika MoirCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0003-1095-1910
Anindita BanerjeeBRICS-National Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Georgii A BazykinA.A. Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, Russia.
Nidhan K BiswasBRICS-National Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Nikita SitharamCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Saumitra DasBRICS-National Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Wentai MaBeijing Institute of Genomics, CAS Key Laboratory of Genomic and Precision Medicine, Chinese Academy of Sciences / China National Centre for Bioinformation, Beijing, China.
Arindam MaitraBRICS-National Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Anup MazumderBRICS-National Institute of Biomedical Genomics, Kalyani, West Bengal, India.ORCID https://orcid.org/0000-0001-7915-5010
Wasim Abdool KarimCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Alessandra Pavan LamarcaLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Brazil.ORCID https://orcid.org/0000-0001-7586-7280
Mingkun LiBeijing Institute of Genomics, CAS Key Laboratory of Genomic and Precision Medicine, Chinese Academy of Sciences / China National Centre for Bioinformation, Beijing, China.
Elena NabievaA.A. Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, Russia.
Houriiyah TegallyCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0002-7102-8540
James Emmanuel SanKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-5736-664X
Ana Tereza R VasconcelosLaboratório de Bioinformática, Laboratório Nacional de Computação Científica, Petrópolis, Brazil.ORCID https://orcid.org/0000-0002-4632-2086
Joicymara S XavierCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0002-4649-6270
Eduan WilkinsonCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Tulio de OliveiraCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.

Funding

University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3M
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM AfricaU54TW012041 · FIC · INSTITUTE OF HUMAN VIROLOGY · PI Alash'le G. Abimiku, Tulio de Paiva Nazareth Andrade De Oliveira · 2021 to 2026
$6.9M
FIC NIH HHS U54 TW012041NIAID NIH HHS U01 AI151698
6 · The paper itself

Abstract

Brazil, Russia, India, China, and South Africa (BRICS) are a group of developing countries with shared economic, healthcare, and scientific interests. These countries navigate multiple syndemics, and the COVID-19 pandemic placed severe strain on already burdened BRICS' healthcare systems, hampering effective pandemic interventions. Genomic surveillance and molecular epidemiology remain indispensable tools for facilitating informed pandemic intervention. To evaluate the combined manner in which the pandemic unfolded in BRICS countries, we reviewed the BRICS pandemic epidemiological and genomic milestones, which included the first reported cases and deaths, and pharmaceutical and non-pharmaceutical interventions implemented in these countries. To assess the development of genomic surveillance capacity and efficiency over the pandemic, we analyzed the turnaround time from sample collection to data availability and the technologies used for genomic analysis. This data provided information on the laboratory capacities that enable the detection of emerging SARS-CoV-2 variants and highlight their potential for monitoring other pathogens in ongoing public health efforts. Our analyses indicated that BRICS suffered >105.6M COVID-19 infections, resulting in >1.7M deaths. BRICS countries detected intricate genetic combinations of SARS-CoV-2 variants that fueled country-specific pandemic waves. BRICS' genomic surveillance programs enabled the identification and characterization of the majority of globally circulating Variants of Concern (VOCs) and their descending lineages. Pandemic intervention strategies first implemented by BRICS countries included non-pharmaceutical interventions during the onset of the pandemic, such as nationwide lockdowns, quarantine procedures, the establishment of fever clinics, and mask mandates- which were emulated internationally. Vaccination rollout strategies complemented this, some representing the first of their kind. Improvements in BRICS sequencing and data generation turnaround time facilitated quicker detection of circulating and emerging variants, supported by investments in sequencing and bioinformatic infrastructure. Intra-BRICS cooperation contributed to the ongoing intervention in COVID-19 and other pandemics, enhancing collective capabilities in addressing these health challenges. The data generated continues to inform BRICS-centric pandemic intervention strategies and influences global health matters. The increased laboratory and bioinformatic capacity post-COVID-19 will support the detection of emerging pathogens.

Identifiers

PMID39705269
PMCPMC11661601

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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.