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Lifestyle Effects on the Risk of Transmission of COVID-19 in the United States: Evaluation of Market Segmentation Systems

Author

Listed:
  • Esra Ozdenerol

    (Spatial Analysis and Geographic Education Laboratory, Department of Earth Sciences, University of Memphis, Memphis, TN 38152, USA)

  • Jacob Seboly

    (Department of Geosciences, Mississippi State University, Starkville, MS 39762, USA)

Abstract

The aim of this study was to associate lifestyle characteristics with COVID-19 infection and mortality rates at the U.S. county level and sequentially map the impact of COVID-19 on different lifestyle segments. We used analysis of variance (ANOVA) statistical testing to determine whether there is any correlation between COVID-19 infection and mortality rates and lifestyles. We used ESRI Tapestry LifeModes data that are collected at the U.S. household level through geodemographic segmentation typically used for marketing purposes to identify consumers’ lifestyles and preferences. According to the ANOVA analysis, a significant association between COVID-19 deaths and LifeModes emerged on 1 April 2020 and was sustained until 30 June 2020. Analysis of means (ANOM) was also performed to determine which LifeModes have incidence rates that are significantly above/below the overall mean incidence rate. We sequentially mapped and graphically illustrated when and where each LifeMode had above/below average risk for COVID-19 infection/death on specific dates. A strong northwest-to-south and northeast-to-south gradient of COVID-19 incidence was identified, facilitating an empirical classification of the United States into several epidemic subregions based on household lifestyle characteristics. Our approach correlating lifestyle characteristics to COVID-19 infection and mortality rate at the U.S. county level provided unique insights into where and when COVID-19 impacted different households. The results suggest that prevention and control policies can be implemented to those specific households exhibiting spatial and temporal pattern of high risk.

Suggested Citation

  • Esra Ozdenerol & Jacob Seboly, 2021. "Lifestyle Effects on the Risk of Transmission of COVID-19 in the United States: Evaluation of Market Segmentation Systems," IJERPH, MDPI, vol. 18(9), pages 1-19, April.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4826-:d:547292
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    Citations

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    Cited by:

    1. Esra Ozdenerol & Rebecca Michelle Bingham-Byrne & Jacob Daniel Seboly, 2021. "The Effects of Lifestyle on the Risk of Lyme Disease in the United States: Evaluation of Market Segmentation Systems in Prevention and Control Strategies," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    2. Esra Ozdenerol & Jacob Seboly, 2022. "The Effects of Lifestyle on COVID-19 Vaccine Hesitancy in the United States: An Analysis of Market Segmentation," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    3. Ekaterina A. Shashina & Valentina V. Makarova & Denis V. Shcherbakov & Tatiana S. Isiutina-Fedotkova & Nadezhda N. Zabroda & Nina A. Ermakova & Anton Yu. Skopin & Oleg V. Mitrokhin, 2021. "Use of Respiratory Protection Devices by Medical Students during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(11), pages 1-12, May.

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