Exploring the Impact of Socioeconomic Factors on Stress Levels Using Clustering in Southeast Asia during the COVID-19 Pandemic

This paper explores the impact of socioeconomic factors on stress levels across Southeast Asia during the COVID-19 pandemic. Data from the COVIDiSTRESS Global Survey were analyzed using regression analysis to identify key determinants along with clustering techniques, such as DBSCAN to group similar behavioral responses. Variables such as income, employment status, education level, and healthcare access were considered. The findings reveal significant disparities in stress levels related to socioeconomic conditions. For instance, countries with lower socioeconomic indicators, such as Vietnam and the Philippines, show high perceived stress levels (58,9% and 76,2% respectively). Conversely, countries with higher socioeconomic stability, like Brunei, exhibit moderate stress levels at 60%. These results underscore the importance of addressing socioeconomic inequalities to mitigate stress and enhance mental resilience across Southeast Asia.

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Publication Details

Journal
Indonesian Journal of Applied Mathematics and Statistics
Published
2024-12-30
DOI
https://doi.org/10.71385/idjams.v1i2.17
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Impact of Socioeconomic Factors on Stress Levels Using Clustering in Southeast Asia during the COVID-19 Pandemic

Shafa Khadijah Rahmat, Fatsa Vidyaningtyas Sabila
Indonesian Journal of Applied Mathematics and Statistics
COVID-19 epidemiological studies
article

Exploring the Impact of Socioeconomic Factors on Stress Levels Using Clustering in Southeast Asia during the COVID-19 Pandemic

Shafa Khadijah Rahmat, Fatsa Vidyaningtyas Sabila
article en

Abstract

This paper explores the impact of socioeconomic factors on stress levels across Southeast Asia during the COVID-19 pandemic. Data from the COVIDiSTRESS Global Survey were analyzed using regression analysis to identify key determinants along with clustering techniques, such as DBSCAN to group similar behavioral responses. Variables such as income, employment status, education level, and healthcare access were considered. The findings reveal significant disparities in stress levels related to socioeconomic conditions. For instance, countries with lower socioeconomic indicators, such as Vietnam and the Philippines, show high perceived stress levels (58,9% and 76,2% respectively). Conversely, countries with higher socioeconomic stability, like Brunei, exhibit moderate stress levels at 60%. These results underscore the importance of addressing socioeconomic inequalities to mitigate stress and enhance mental resilience across Southeast Asia.

Indonesian Journal of Applied Mathematics and StatisticsVol. 1(2)
University of Indonesia (ID)
Openalex Percentile: Top 73%
COVID-19 epidemiological studies
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