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Path Analysis to Assess Socio-Economic and Mitigation Measure Determinants for Daily Coronavirus Infections

Author

Listed:
  • Elie Yammine

    (Statistics and Computer Science Department, Faculty of Science, Lebanese University, Baabda 1003, Lebanon)

  • Abbas Rammal

    (Statistics and Computer Science Department, Faculty of Science, Lebanese University, Baabda 1003, Lebanon
    Data Science Department, Faculty of Information, Lebanese University, Baabda 1003, Lebanon)

Abstract

(1) Background: With the rapid global spread of the coronavirus disease 2019 (COVID-19) and the relatively high daily cases recorded in a short time compared to other types of seasonal flu, the world remains under continuous threat unless we identify the key factors that contribute to these unexpected records. This identification is important for developing effective criteria and plans to reduce the spread of the COVID-19 pandemic and can guide national authorities to tighten or reduce mitigation measures, in addition to spreading awareness of the important factors that contribute to the propagation of the disease. (2) Methods: The data represents the daily infections (210 days) in four different countries (China, Italy, Iran, and Lebanon) taken approximately in the same duration, between January and March 2020. Path analysis was implemented on the data to detect the significant factors that affect the daily COVID-19 infections. (3) Results: The path coefficients show that quarantine commitment (β = −0.823) and full lockdown measures (β = −0.775) have the largest direct effect on COVID-19 daily infections. The results also show that more experience (β = −0.35), density in society (β = −0.288), medical resources (β = 0.136), and economic resources (β = 0.142) have indirect effects on daily COVID-19 infections. (4) Conclusions: The COVID-19 daily infections directly decrease with complete lockdown measures, quarantine commitment, wearing masks, and social distancing. COVID-19 daily cases are indirectly associated with population density, special events, previous experience, technology used, economic resources, and medical resources.

Suggested Citation

  • Elie Yammine & Abbas Rammal, 2021. "Path Analysis to Assess Socio-Economic and Mitigation Measure Determinants for Daily Coronavirus Infections," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10071-:d:642775
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    References listed on IDEAS

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    1. Benita Wielgus & Witold Urban & Aleksandra Patriak & Łukasz Cichocki, 2020. "Examining the Associations between Psychological Flexibility, Mindfulness, Psychosomatic Functioning, and Anxiety during the COVID-19 Pandemic: A Path Analysis," IJERPH, MDPI, vol. 17(23), pages 1-13, November.
    2. Sachiko Kodera & Essam A. Rashed & Akimasa Hirata, 2020. "Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity," IJERPH, MDPI, vol. 17(15), pages 1-14, July.
    3. Jerald M. Velasco & Wei-Chun Tseng & Chia-Lin Chang, 2021. "Factors Affecting the Cases and Deaths of COVID-19 Victims," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
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