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.

PubMed

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.

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