ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
Spatiotemporal pattern of COVID-19 and government response in South Korea (as of May 31, 2020).
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 53 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.International journal of environmental research and public health · 2026Pooled it
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- A mobility-adjusted framework for regional RBMC infectious diseases · 2025Article
- 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
- A novel framework for inferring dynamic infectious disease transmission with graph attention: a COVID-19 case study in Korea.BMC public health · 2025Article
- Health system analysis for pandemic policies: Suggestions for the Japan Institute for Health Security (JIHS).Global health & medicine · 2025Article
- Trajectories and patterns of US counties' policy responses to the COVID-19 pandemic: A sequence analysis approach.SSM - population health · 2025Article
- Pathogenic built environment? Reflections on modeling spatial determinants of health in urban settings considering the example of COVID-19 studies.Frontiers in public health · 2025Article
- Investigating the spatiotemporal characteristics and medical response during the initial COVID-19 epidemic in six Chinese cities.Scientific reports · 2024Article
- Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022.PloS one · 2024Article
- Spatiotemporal pattern of COVID-19 mortality and its relationship with socioeconomic and environmental factors in England.Spatial and spatio-temporal epidemiology · 2023Article
- Spatiotemporal characteristics of the SARS-CoV-2 Delta wave in North Carolina.Spatial and spatio-temporal epidemiology · 2023Article
- Spatiotemporal pattern of Covid-19 outbreak in Turkey.GeoJournal · 2023Article
- An assessment of the public health surveillance strategy based on molecular testing during three major pandemic waves of COVID-19 in Brazil.PLOS global public health · 2023Article
- Exploration of the COVID-19 pandemic at the neighborhood level in an intra-urban setting.Frontiers in public health · 2023Article
- Travel patterns of free-floating e-bike-sharing users before and during COVID-19 pandemic.Cities (London, England) · 2023Article
- Spatiotemporal clusters and the socioeconomic determinants of COVID-19 in Toronto neighbourhoods, Canada.Spatial and spatio-temporal epidemiology · 2022Article
- Evaluation of the effectiveness of surveillance policies to control the COVID-19 pandemic in São Paulo, Brazil.Global health research and policy · 2022Article
- Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method.JMIR public health and surveillance · 2022Article
- How Spatial Epidemiology Helps Understand Infectious Human Disease Transmission.Tropical medicine and infectious disease · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe aim of this study was to assess how coronavirus disease 2019 (COVID-19) clustered across districts in South Korea and to assess whether the pattern and duration of clusters changed following the country's containment strategy.
methodsA spatiotemporal analysis of COVID-19 daily confirmed cases by 250 districts in South Korea from January 20 to May 31, 2020, obtained from the Korea Centers for Disease Control and Prevention and each provincial website, was conducted. The global Moran's I statistic was used for spatial autocorrelation analysis, and the retrospective space-time scan statistic was used to analyze spatiotemporal clusters of COVID-19.
resultsThe geographical distribution showed strong spatial autocorrelation, with a global Moran's I coefficient of 0.784 (p=0.0001). Twelve statistically significant spatiotemporal clusters were identified by space-time scan statistic using a discrete Poisson model. The spatial pattern of clusters changed and the duration of clusters became shorter over time.
conclusionsThe results indicate that South Korea's containment strategy for COVID-19 was highly effective in both early detection and mitigation, with recent clusters being small in size and duration. Lessons from South Korea should spark a discussion on epidemic response.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.