ArticleThe Science of the total environment2020
Comparative infection modeling and control of COVID-19 transmission patterns in China, South Korea, Italy and Iran.
Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Co-infection of SARS-CoV-2 and influenza A/B among patients with COVID-19: a systematic review and meta-analysis.BMC infectious diseases · 2025Pooled it
- Changes in the quantity and quality of births after the COVID-19 pandemic: an interrupted time series analysis of two million births in Southwest China.BMC pregnancy and childbirth · 2026Article
- Temperature-based spatiotemporal heterogeneity of hand, foot, and mouth disease transmission in China.BMC infectious diseases · 2025Article
- Parameter estimation of the COVID-19 transmission model using an improved quantum-behaved particle swarm optimization algorithm.Digital signal processing · 2022Article
- Mathematical modeling of the impact of Omicron variant on the COVID-19 situation in South Korea.Genomics & informatics · 2022Article
- Understanding the spatial diffusion dynamics of the COVID-19 pandemic in the city system in China.Social science & medicine (1982) · 2022Article
- Panel Associations Between Newly Dead, Healed, Recovered, and Confirmed Cases During COVID-19 Pandemic.Journal of epidemiology and global health · 2022Article
- Differential evolution and particle swarm optimization against COVID-19.Artificial intelligence review · 2022Article
- An AHP-based regional COVID-19 vulnerability model and its application in China.Modeling earth systems and environment · 2022Article
- Compliance with safety measures and risk of COVID-19 transmission among healthcare workers.Future science OA · 2022Article
- COVID-19 pandemic spread against countries' non-pharmaceutical interventions responses: a data-mining driven comparative study.BMC public health · 2021Article
- Spatio-temporal distribution characteristics of COVID-19 in China: a city-level modeling study.BMC infectious diseases · 2021Article
- Herbal Medicine, Gut Microbiota, and COVID-19.Frontiers in pharmacology · 2021Review
- COVID-19 in China: Risk Factors and RActa tropica · 2021Article
- COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning.Stochastic environmental research and risk assessment : research journal · 2021Article
- Impact of control interventions on COVID-19 population dynamics in Malaysia: a mathematical study.European physical journal plus · 2021Article
- Willingness of Chinese, Studying in Germany to Fly Back to China Due to Their Risk Perception About COVID-19.Risk management and healthcare policy · 2021Article
- Monitoring and Forecasting COVID-19: Heuristic Regression, Susceptible-Infected-Removed Model and, Spatial Stochastic.Frontiers in applied mathematics and statistics · 2021Article
- Coronavirus epidemic in Croatia: case fatality decline during summer?Croatian medical journal · 2020Article
- Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level.PLoS neglected tropical diseases · 2020Article
Corrections and comments
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 has become a pandemic. The timing and nature of the COVID-19 pandemic response and control varied among the regions and from one country to the other, and their role in affecting the spread of the disease has been debated. The focus of this work is on the early phase of the disease when control measures can be most effective. We proposed a modified susceptible-exposed-infected-removed model (SEIR) model based on temporal moving windows to quantify COVID-19 transmission patterns and compare the temporal progress of disease spread in six representative regions worldwide: three Chinese regions (Zhejiang, Guangdong and Xinjiang) vs. three countries (South Korea, Italy and Iran). It was found that in the early phase of COVID-19 spread the disease follows a certain empirical law that is common in all regions considered. Simulations of the imposition of strong social distancing measures were used to evaluate the impact that these measures might have had on the duration and severity of COVID-19 outbreaks in the three countries. Measure-dependent transmission rates followed a modified normal distribution (empirical law) in the three Chinese regions. These rates responded quickly to the launch of the 1
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