Evidence map›Paper›PMID 35136591›Full record

ArticleJournal of global health2021

The co-circulating transmission dynamics of SARS-CoV-2 Alpha and Eta variants in Nigeria: A retrospective modeling study of COVID-19.

Shi Zhao, Salihu S Musa, Marc Kc Chong, Jinjun Ran, Mohammad Javanbakht, Lefei Han, Kai Wang, Nafiu Hussaini, Abdulrazaq G Habib, Maggie H Wang and 1 more

Abstract read
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Article in Journal of global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Dynamics of SARS-CoV-2 variants in West Africa: Insights into genomic surveillance in resource-constrained settings.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2024
    Review
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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

11 authors.

Shi ZhaoJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Salihu S MusaDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.
Marc Kc ChongJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Jinjun RanSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mohammad JavanbakhtNephrology and Urology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Lefei HanSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Kai WangDepartment of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
Nafiu HussainiDepartment of Mathematical Sciences, Bayero University, Kano, Nigeria.
Abdulrazaq G HabibDepartment of Medicine, Bayero University, Kano, Nigeria.
Maggie H WangJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Daihai HeDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic poses serious threats to public health globally, and the emerging mutations in SARS-CoV-2 genomes has become one of the major challenges of disease control. In the second epidemic wave in Nigeria, the roles of co-circulating SARS-CoV-2 Alpha (ie, B.1.1.7) and Eta (ie, B.1.525) variants in contributing to the epidemiological outcomes were of public health concerns for investigation.

methodsWe developed a mathematical model to capture the transmission dynamics of different types of strains in Nigeria. By fitting to the national-wide COVID-19 surveillance data, the transmission advantages of SARS-CoV-2 variants were estimated by likelihood-based inference framework.

resultsThe reproduction numbers were estimated to decrease steadily from 1.5 to 0.8 in the second epidemic wave. In December 2020, when both Alpha and Eta variants were at low prevalent levels, their transmission advantages (against the wild type) were estimated at 1.51 (95% credible intervals (CrI) = 1.48, 1.54), and 1.56 (95% CrI = 1.54, 1.59), respectively. In January 2021, when the original variants almost vanished, we estimated a weak but significant transmission advantage of Eta against Alpha variants with 1.14 (95% CrI = 1.11, 1.16).

conclusionsOur findings suggested evidence of the transmission advantages for both Alpha and Eta variants, of which Eta appeared slightly more infectious than Alpha. We highlighted the critical importance of COVID-19 control measures in mitigating the outbreak size and relaxing the burdens to health care systems in Nigeria.

Indexed as

COVID-19SARS-CoV-2HumansLikelihood FunctionsNigeriaPandemicsRetrospective Studies

Identifiers

PMID35136591
PMCPMC8801210

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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.