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Statistical analysis of the impact of environmental temperature on the exponential growth rate of cases infected by COVID-19

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  • George Livadiotis

Abstract

We perform a statistical analysis for understanding the effect of the environmental temperature on the exponential growth rate of the cases infected by COVID-19 for US and Italian regions. In particular, we analyze the datasets of regional infected cases, derive the growth rates for regions characterized by a readable exponential growth phase in their evolution spread curve and plot them against the environmental temperatures averaged within the same regions, derive the relationship between temperature and growth rate, and evaluate its statistical confidence. The results clearly support the first reported statistically significant relationship of negative correlation between the average environmental temperature and exponential growth rates of the infected cases. The critical temperature, which eliminates the exponential growth, and thus the COVID-19 spread in US regions, is estimated to be TC = 86.1 ± 4.3 F0.

Suggested Citation

  • George Livadiotis, 2020. "Statistical analysis of the impact of environmental temperature on the exponential growth rate of cases infected by COVID-19," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-21, May.
    • Handle: RePEc:plo:pone00:0233875
    DOI: 10.1371/journal.pone.0233875
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    Cited by:

    1. Badruddoza, Syed & Amin, Modhurima Dey, 2023. "Impacts of Teaching Modality on U.S. COVID-19 Spread in Fall 2020 Semester," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(1), January.
    2. Gowhar Meraj & Majid Farooq & Suraj Kumar Singh & Shakil A. Romshoo & Sudhanshu & M. S. Nathawat & Shruti Kanga, 2021. "Coronavirus pandemic versus temperature in the context of Indian subcontinent: a preliminary statistical analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6524-6534, April.
    3. Christos S. Zerefos & Stavros Solomos & John Kapsomenakis & Anastasia Poupkou & Lida Dimitriadou & Iliana D. Polychroni & Pavlos Kalabokas & Constandinos M. Philandras & Dimitris Thanos, 2021. "Lessons learned and questions raised during and post-COVID-19 anthropopause period in relation to the environment and climate," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10623-10645, July.
    4. Ewelina Orysiak & Mykhaylo Shuper, 2024. "Determination of Demand for LNG in Poland," Energies, MDPI, vol. 17(17), pages 1-23, September.
    5. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Jain, Mansi & Yadav, Anshita & Srivastava, Mrinalini, 2021. "COVID-19 and environmental concerns: A rapid review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    6. Chong Guan & Wenting Liu & Jack Yu-Chao Cheng, 2022. "Using Social Media to Predict the Stock Market Crash and Rebound amid the Pandemic: The Digital ‘Haves’ and ‘Have-mores’," Annals of Data Science, Springer, vol. 9(1), pages 5-31, February.

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