Related Experiment Video
Updated: Jul 2, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Spatio-temporal clustering analysis of COVID-19 cases in Johor
Fong Ying Foo1, Nuzlinda Abdul Rahman1, Fauhatuz Zahroh Shaik Abdullah1
1School of Mathematical Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.
Insights
Spatio-temporal clustering identified COVID-19 hotspots in Malaysia, revealing transmission spikes in populated areas and during holidays. This highlights the direct link between human mobility, festive seasons, and virus spread.
Area of Science:
- Epidemiology
- Public Health
- Spatial Analysis
Background:
- The COVID-19 pandemic, caused by SARS-CoV-2, has had severe global impacts.
- Understanding disease spread is crucial for effective outbreak management.
- Malaysia's Johor state experienced significant COVID-19 transmission.
Purpose of the Study:
- To analyze the spatio-temporal propagation of COVID-19 in Johor, Malaysia.
- To identify high-risk COVID-19 'hot-spot' areas at the sub-district level.
- To understand factors influencing COVID-19 transmission dynamics.
Main Methods:
- Utilized daily COVID-19 case data and population data for 92 sub-districts in Johor.
- Employed spatio-temporal clustering techniques to analyze disease spread over 190 days (August 2021 - February 2022).
- Investigated correlations between transmission and population density/mobility.
Main Results:
- COVID-19 cases spiked in densely populated sub-districts, including economic centers like Bandar Johor Bahru.
- Disease transmission rates were observed to increase during festive seasons.
- Findings indicate a direct proportionality between COVID-19 transmission and human mobility/holidays.
Conclusions:
- Human mobility and festive periods are significant drivers of COVID-19 spread in Johor.
- Identifying spatio-temporal hotspots aids public health authorities in targeted interventions.
- This research provides empirical evidence to inform national strategies for controlling COVID-19.
Abstract:
At the end of the year 2019, a virus named SARS-CoV-2 induced the coronavirus disease, which is very contagious and quickly spread around the world. This new infectious disease is called COVID-19. Numerous areas, such as the economy, social services, education, and healthcare system, have suffered grave consequences from the invasion of this deadly virus. Thus, a thorough understanding of the spread of COVID-19 is required in order to deal with this outbreak before it becomes an infectious disaster. In this research, the daily reported COVID-19 cases in 92 sub-districts in Johor state, Malaysia, as well as the population size associated to each sub-district, are used to study the propagation of COVID-19 disease across space and time in Johor. The time frame of this research is about 190 days, which started from August 5, 2021, until February 10, 2022. The clustering technique known as spatio-temporal clustering, which considers the spatio-temporal metric was adapted to determine the hot-spot areas of the COVID-19 disease in Johor at the sub-district level. The results indicated that COVID-19 disease does spike in the dynamic populated sub-districts such as the state's economic centre (Bandar Johor Bahru), and during the festive season. These findings empirically prove that the transmission rate of COVID-19 is directly proportional to human mobility and the presence of holidays. On the other hand, the result of this study will help the authority in charge in stopping and preventing COVID-19 from spreading and become worsen at the national level.
Related Concept Videos
Pareto Chart
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
Causality in Epidemiology
Pie Chart
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
Statistical Methods for Analyzing Epidemiological Data
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Steps in Outbreak Investigation

