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Greener Neighbourhoods Show Resilience to the Spread but Not Severity of COVID-19 Infection in South Africa

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  • Bopaki Phogole

    (Department of Geography, Environmental Management and Energy Studies, University of Johannesburg, Auckland Park 2006, South Africa)

  • Kowiyou Yessoufou

    (Department of Geography, Environmental Management and Energy Studies, University of Johannesburg, Auckland Park 2006, South Africa)

Abstract

The outbreak of COVID-19 quickly spread around the globe, with staggering infection and mortality rates. Given the reported benefits of greenness to human health, we hypothesized that greener neighbourhoods would suffer less from COVID-19 infection and severity than not. We modelled COVID-19 infection and severity in South Africa by fitting Generalized Linear Mixed Effects models to various socio-demographic and greenness data (EVI, i.e., Enhanced Vegetation Index, and tree and grass covers) collected from January 2020 to June 2022 at local municipalities, Wards, and districts scales. We found that income level showed a significant negative association with COVID-19 prevalence at the Ward level, suggesting that poorer neighbourhoods are more susceptible to COVID-19 infection. We also found that EVI and tree cover consistently showed a significant negative correlation with COVID-19 infection rate, irrespective of the scale of analysis, whereas grass cover showed a similar pattern but only at the Ward scale. Finally, we found that neither EVI, grass cover, nor tree cover showed a significant association with COVID-19 severity. Overall, greener neighbourhoods show greater resilience to the spread of COVID-19, suggesting that exposure to greenness may boost natural killer cells in the human body, thus reinvigorating our defence system against infections. Our results re-enforced the need to establish and preserve greens paces particularly in the developing world, given their ability to buffer the spread of COVID-19.

Suggested Citation

  • Bopaki Phogole & Kowiyou Yessoufou, 2023. "Greener Neighbourhoods Show Resilience to the Spread but Not Severity of COVID-19 Infection in South Africa," Sustainability, MDPI, vol. 15(19), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14508-:d:1254107
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    1. Quynh C. Nguyen & Yuru Huang & Abhinav Kumar & Haoshu Duan & Jessica M. Keralis & Pallavi Dwivedi & Hsien-Wen Meng & Kimberly D. Brunisholz & Jonathan Jay & Mehran Javanmardi & Tolga Tasdizen, 2020. "Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases," IJERPH, MDPI, vol. 17(17), pages 1-13, September.
    2. Andrew Rideout & Calum Murray & Chris Isles, 2021. "Regional variation in COVID-19 positive hospitalisation across Scotland during the first wave of the pandemic and its relation to population density: A cross-sectional observation study," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-9, July.
    3. Felix Müller & Susanne Röhr & Ulrich Reininghaus & Steffi G. Riedel-Heller, 2021. "Social Isolation and Loneliness during COVID-19 Lockdown: Associations with Depressive Symptoms in the German Old-Age Population," IJERPH, MDPI, vol. 18(7), pages 1-11, March.
    4. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    5. Colleen E. Reid & Jane E. Clougherty & Jessie L.C. Shmool & Laura D. Kubzansky, 2017. "Is All Urban Green Space the Same? A Comparison of the Health Benefits of Trees and Grass in New York City," IJERPH, MDPI, vol. 14(11), pages 1-18, November.
    6. Liqing Zhang & Puay Yok Tan, 2019. "Associations between Urban Green Spaces and Health are Dependent on the Analytical Scale and How Urban Green Spaces are Measured," IJERPH, MDPI, vol. 16(4), pages 1-18, February.
    7. Elizelle Juaneé Cilliers, 2019. "Reflecting on Green Infrastructure and Spatial Planning in Africa: The Complexities, Perceptions, and Way Forward," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    8. Heyuan You & Xin Wu & Xuxu Guo, 2020. "Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development," IJERPH, MDPI, vol. 17(10), pages 1-14, May.
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