ArticleInternational journal of environmental research and public health2020
Risk Interactions of Coronavirus Infection across Age Groups after the Peak of COVID-19 Epidemic.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Do COVID-19 Infectious Disease Models Incorporate the Social Determinants of Health? A Systematic Review.Public health reviews · 2024Pooled it
- Generating synthetic population for simulating the spatiotemporal dynamics of epidemics.PLoS computational biology · 2024Article
- Article
- Increases in Ambulance Call Volume Are an Early Warning Sign of Major COVID-19 Surges in Children.International journal of environmental research and public health · 2022Article
- COVID-19 hospitalizations and patients' age at admission: The neglected importance of data variability for containment policies.Frontiers in public health · 2022Article
- Article
- A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates.Journal of geographical systems · 2022Article
- Disease Prevention Behavior During the COVID-19 Pandemic and the Role of Self-Esteem: An Extended Parallel Process Model.Psychology research and behavior management · 2021Article
- Distinctive trajectories of the COVID-19 epidemic by age and gender: A retrospective modeling of the epidemic in South Korea.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Article
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1 author at 1 institution in 1 country.
Funding
Abstract
backgroundThe COVID-19 pandemic has incurred significant disease burden worldwide, particularly on the elderly population. This study aims to explore how risks of coronavirus infection interact across age groups using data from South Korea.
methodsDaily new COVID-19 cases from 10 March to 30 April 2020 were scraped from online open sources. A multivariate vector autoregressive model for time series of count data was used to examine the risk interactions across age groups. Case counts from previous days were included as predictors to dynamically examine the change of risk patterns.
resultsIn South Korea, the risk of coronavirus infection among elderly people was significantly affected by other age groups. An increase in virus infection among people aged 20-39 was associated with a double risk of infection among elderly people. Meanwhile, an increase in virus infection among elderly people was also significantly associated with risks of infection among other age groups. The risks of infection among younger people were relatively unaffected by that of other age groups.
conclusionsProtecting elderly people from coronavirus infection could not only reduce the risk of infection among themselves but also ameliorate the risks of virus infection among other age groups. Such interventions should be effective and for the long term.
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