ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
Distinctive trajectories of the COVID-19 epidemic by age and gender: A retrospective modeling of the epidemic in South Korea.
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Do COVID-19 Infectious Disease Models Incorporate the Social Determinants of Health? A Systematic Review.Public health reviews · 2024Pooled it
- Quantitative analysis of self-reporting and contact tracing in heterogeneous risk groups: a stochastic modeling study of the COVID-19 outbreak in Daegu, Korea.BMC public health · 2025Article
- Exploring local and global stability of COVID-19 through numerical schemes.Scientific reports · 2024Article
- Serosurveillance of SARS-CoV-2 in Welsh Blood Donors: Establishment of the surveillance system and results up to November 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023Article
- Modeling COVID-19 transmission between age groups in the United States considering virus mutations, vaccinations, and reinfection.Scientific reports · 2022Article
- COVID-19 virus released from larynx might cause a higher exposure dose in indoor environment.Environmental research · 2021Article
- Infectious Respiratory Diseases Decreased during the COVID-19 Pandemic in South Korea.International journal of environmental research and public health · 2021Article
- Lack of Evidence of COVID-19 Being a Risk Factor of Alopecia Areata: Results of a National Cohort Study in South Korea.Frontiers in medicine · 2021Article
- Spatial variability in reproduction number and doubling time across two waves of the COVID-19 pandemic in South Korea, February to July, 2020.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Article
- Article
- Risk Interactions of Coronavirus Infection across Age Groups after the Peak of COVID-19 Epidemic.International journal of environmental research and public health · 2020Article
- Aging, Immunity, and COVID-19: How Age Influences the Host Immune Response to Coronavirus Infections?Frontiers in physiology · 2020Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesElderly people had suffered a disproportionate burden of COVID-19. We hypothesized that males and females in different age groups might have different epidemic trajectories.
methodsUsing publicly available data from South Korea, daily new COVID-19 cases were assessed using generalized additive models, assuming Poisson and negative binomial distributions. Epidemic dynamics by age and gender groups were explored using interactions between smoothed time terms and age and gender.
resultsA negative binomial distribution fitted the daily case counts best. The relationship between the dynamic patterns of daily new cases and age groups was statistically significant (p<0.001), but this was not the case with gender groups. People aged 20-39 years led the epidemic processes in South Korean society with two peaks - one major peak around March 1 and a smaller peak around April 7, 2020. The epidemic process among people aged 60 or above trailed behind that of the younger age group, and with smaller magnitude. After March 15, there was a consistent decline of daily new cases among elderly people, despite large fluctuations in case counts among young adults.
conclusionsAlthough young people drove the COVID-19 epidemic throughout society, with multiple rebounds, elderly people could still be protected from infection after the peak of the epidemic.
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