The Study of the Effects of Mobility Trends on the Statistical Models of the COVID-19 Virus Spreading
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Business and Technology University, GEORGIA
Online publication date: 2020-04-27
Publication date: 2020-04-27
Electron J Gen Med 2020;17(6):em243
The history of the Pandemics makes a significant impact on the memory and behavior of the affected communities. It is important to study the connection between human mobility and the spread of viral infection. Specifically, we aimed to investigate whether there was a correlation between Mobility Trends and the spread of Covid-19 virus. Thus, in the conclusion it should be noted that the intensity of pedestrians, traffic and transit traffic during the study period, on average, after 15-20 days, affected the spread of the virus. If there was a positive slope and correlation coefficient between the variables presented in the period 22.01.2020 - 11.03.2020 (before the announcement of the pandemic), in the period 12.03.2020 - 14.04.2020 (after the announcement of the pandemic) the slope and correlation coefficients received negative values ​​between the study variables, which indicates That on average, after 15-20 days, Due to the intensity of the movement, the center of the virus spread is identified, and the intensity of the movement itself is decreased.
Chen S, Yang J, Yang W, Wang C, Bärnighausen T. COVID-19 control in China during mass population movements at New Year. Lancet. 2020;395:764-6. https://doi.org/10.1016/S0140-....
Gondauri D., Mikautadze E., Batiashvili M. Research on COVID-19 Virus Spreading Statistics based on the Examples of the Cases from Different Countries. Electron J Gen Med. 2020;17(4):em209. https://doi.org/10.29333/ejgm/....
Kraemer M.U.G., Yang Ch., Gutierrez B., Wu Ch., Klein B., Pigott D.M., Open COVID-19 Data Working Group, Plessis L., Faria N.R., Li R., Hanage W.P., Brownstein J.S., Layan M., Vespignani A., Tian H., Dye Ch., Pybus O.G., Scarpino S.V. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science. 2020; 25 Mar: eabb4218. https://doi.org/10.1126/scienc... PMid: 32213647 PMCid:PMC7146642.
Peeters Grietens K., Gryseels C., Dierickx S. et al. Characterizing Types of Human Mobility to Inform Differential and Targeted Malaria Elimination Strategies in Northeast Cambodia. Sci Rep. 2015; 5, 16837. https://doi.org/10.1038/srep16... PMid:26593245 PMCid: PMC4655368.
Massaro E., Kondor D. & Ratti C. Assessing the interplay between human mobility and mosquito borne diseases in urban environments. Sci Rep. 2019; 9, 16911. https://doi.org/10.1038/s41598... PMid:31729435 PMCid: PMC6858332.
Long NN, Khoi BH. An Empirical Study about the Intention to Hoard Food during COVID-19 Pandemic. EURASIA J MATH SCI T. 2020;16(7), em1857. https://doi.org/10.29333/ejmst....
Schober P., Boer Ch., Schwarte L.A. Correlation Coefficients: Appropriate Use and Interpretation. Anesthesia & Analgesia. 2018; 126(5):1763-1768 https://doi.org/10.1213/ANE.00... PMid:29481436.
Mukaka MM. Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Med J. 2012; 24(3):69–71. PMID: 23638278.
Musinguzi G., Asamoah BO. The Science of Social Distancing and Total Lock Down: Does it Work? Whom does it Benefit?. Electron J Gen Med. 2020; 17(6):em230. https://doi.org/10.29333/ejgm/....
Ameh, G. G., Njoku, A., Inungu, J. and Younis, M. (2020). Rural America and Coronavirus Epidemic: Challenges and Solutions. European Journal of Environment and Public Health, 4(2), em0040. https://doi.org/10.29333/ejeph....
Majumder P, Biswas P, Majumder S. Application of New TOPSIS Approach to Identify the Most Significant Risk Factor and Continuous Monitoring of Death of COVID-19. Electron J Gen Med. 2020;17(6): em234. https://doi.org/10.29333/ejgm/....
Dakhil ZA, Farhan HA. Cardiovascular Impacts of COVID-19 Pandemic: From Presentation to Management: Current and Future Perspectives. J Clin Exp Invest. 2020;11(3):em00739. https://doi.org/10.5799/jcei/7....
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