Evidence map›Paper›PMID 36639649›Full record

ArticleBMC infectious diseases2023

Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries.

Boqiang Chen, Yanji Zhao, Zhen Jin, Daihai He, Huaichen Li

Abstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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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

5 authors.

Boqiang ChenDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Yanji ZhaoDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Zhen JinComplex Systems Research Center, Shanxi University, Taiyuan, China.
Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. daihai.he@polyu.edu.hk.
Huaichen LiDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.

Funding

The Research Grants Council of the Hong Kong Special Administrative Region, China HKU C7123-20G
6 · The paper itself

Abstract

backgroundThe ongoing coronavirus 2019 (COVID-19) pandemic has emerged and caused multiple pandemic waves in the following six countries: India, Indonesia, Nepal, Malaysia, Bangladesh and Myanmar. Some of the countries have been much less studied in this devastating pandemic. This study aims to assess the impact of the Omicron variant in these six countries and estimate the infection fatality rate (IFR) and the reproduction number [Formula: see text] in these six South Asia, Southeast Asia and Oceania countries.

methodsWe propose a Susceptible-Vaccinated-Exposed-Infectious-Hospitalized-Death-Recovered model with a time-varying transmission rate [Formula: see text] to fit the multiple waves of the COVID-19 pandemic and to estimate the IFR and [Formula: see text] in the aforementioned six countries. The level of immune evasion and the intrinsic transmissibility advantage of the Omicron variant are also considered in this model.

resultsWe fit our model to the reported deaths well. We estimate the IFR (in the range of 0.016 to 0.136%) and the reproduction number [Formula: see text] (in the range of 0 to 9) in the six countries. Multiple pandemic waves in each country were observed in our simulation results.

conclusionsThe invasion of the Omicron variant caused the new pandemic waves in the six countries. The higher [Formula: see text] suggests the intrinsic transmissibility advantage of the Omicron variant. Our model simulation forecast implies that the Omicron pandemic wave may be mitigated due to the increasing immunized population and vaccine coverage.

Indexed as

COVID-19AsiaHumansOceaniaPandemicsSARS-CoV-2COVID-19Epidemic modelInfection fatality rateReproduction numberThe Omicron variant

Identifiers

PMID36639649
PMCPMC9839219

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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.