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A fuzzy graph approach analysis for COVID-19 outbreak.

Nurfarhana Hassan1, Tahir Ahmad1, Azmirul Ashaari2

  • 1Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.

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|May 10, 2021
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Summary

Chemometrics fuzzy autocatalytic set (c-FACS) was adapted to analyze Coronavirus disease 2019 (Covid-19) data in Malaysia. This method successfully classified disease severity zones, aiding outbreak management strategies.

Keywords:
COVID-19Fuzzy autocatalytic setFuzzy graphGraph applicationMathematical modelling

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Area of Science:

  • Complex systems analysis
  • Chemometrics
  • Epidemiology

Background:

  • Complex systems, like Fourier transform infrared (FTIR) spectra, require advanced analytical methods.
  • Chemometrics techniques are essential for interpreting complex spectral data.
  • Fourier transform infrared (FTIR) spectra exhibit overlapping bands and interactions, necessitating sophisticated analysis.

Purpose of the Study:

  • To generalize and implement chemometrics fuzzy autocatalytic set (c-FACS) for analyzing Coronavirus disease 2019 (Covid-19) data.
  • To model and analyze daily Covid-19 cases in Malaysian states.
  • To observe disease trends and severity during the Covid-19 pandemic in Malaysia.

Main Methods:

  • Application of chemometrics fuzzy autocatalytic set (c-FACS).
  • Modeling and analysis of daily Covid-19 case data from Malaysian states.
  • Generalization of c-FACS from FTIR spectral analysis to epidemiological data.

Main Results:

  • Successful implementation of c-FACS for Covid-19 data analysis in Malaysia.
  • Identification and classification of Covid-19 severity zones within Malaysia.
  • Observation of disease trends and severity patterns across different Malaysian states.

Conclusions:

  • The generalized c-FACS provides descriptive insights into the Covid-19 outbreak in Malaysia.
  • The method aids in strategizing efforts to combat the Covid-19 pandemic.
  • Classification of severity zones offers valuable information for public health interventions.