ArticleBMC infectious diseases2023
Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries.
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.
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Who cites it
11 citing papers in PubMed.
- Analysis of the SEIR mean-field model in dynamic networks under intervention.Infectious Disease Modelling · 2025Article
- Dispersal dynamics and introduction patterns of SARS-CoV-2 lineages in Iran.Virus evolution · 2025Article
- Estimate the number of lives saved by a SARS-CoV-2 vaccination campaign in six states in the United States with a simple model.IJID regions · 2024Article
- Assessing the dynamics and impact of COVID-19 vaccination on disease spread: A data-driven approach.Infectious Disease Modelling · 2024Article
- Article
- Assessing the impact of vaccination and medical resource allocation on infectious disease outbreak management: a case study of COVID-19 in Taiyuan City.Frontiers in public health · 2024Article
- The optimisation of public health emergency governance: a simulation study based on COVID-19 pandemic control policy.Globalization and health · 2023Article
- Forecast for peak infections in the second wave of the Omicron after the adjustment of zero-COVID policy in the mainland of China.Infectious Disease Modelling · 2023Article
- The impact of COVID-19 vaccination campaign in Hong Kong SAR China and Singapore.Infectious Disease Modelling · 2023Article
- Impact of vaccination and non-pharmacological interventions on COVID-19: a review of simulation modeling studies in Asia.Frontiers in public health · 2023Review
- Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency.AIMS public health · 2023Review
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5 authors.
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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.
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