Abstract
This paper targets to study the concrete scenario of aerosols transporting virus fact that is seen as a potential cause of massive infections in open spaces through the usage of a two dimension theory. For this end, the conjunction of a deterministic model and the equation of Weiss with a probabilistic meaning is compactified in one single equation. With this approach, different distributions of fractions of infections as function of distance are presented. Although in most cases, this hybrid theory yields distances of 1.5 and 2.0 m. The distributions also suggest the role of wind as a strong factor that might keep the aerosols beyond the established social distancing as cause of delaying of dehydration. Therefore, outdoor characteristics are factors that might not be seen at first sight but would constitute a risk factor in epochs of peaks of pandemic.
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Wu, F., et al.: A new coronavirus associated with human respiratory disease in China. Nature 579, 265269 (2020)
Shang, J., et al.: Structural basis of receptor recognition by SARS-CoV2. Nature 581, 221224 (2020)
Westgarth, D.: Coronavirus pandemic: a time for reflection. Cell. Mol. Immunol. 17, 889891 (2020)
Yang, J., et al.: Disease burden and clinical severity of the first pandemic wave of COVID-19 in Wuhan, China. Nat. Commun. 11, 110 (2020)
Chauhan, S.: Comprehensive review of coronavirus disease 2019 (COVID-19). Biomed. J. 43(4), 334–340 (2020)
Nicola, M.: The socio-economic implications of the coronavirus pandemic (COVID-19): a review. Int. J. Surg. 78, 185193 (2020)
Duffey, R.B., Zio, E.: Analysing recovery from pandemics by learning theory: the case of CoVid-19. IEEE Access 8 (2020)
Domingo, J.L., Marques, M., Rovira, J.: Influence of airborne transmission of SARS-CoV-2 on COVID-19 pandemic. A review. Environ. Res. 188, Article 109861 (2020)
van Doremalen, N., et al.: Aerosol and surface stability of SARSCoV-2 as compared with SARS-CoV-1. N Engl J Med 382, 1564–1567 (2020). https://doi.org/10.1056/NEJMc2004973
Stadnytskyi, V., et al.: The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission. Proc. Natl. Acad. Sci. 117(22), 11875–11877 (2020). https://doi.org/10.1073/pnas.2006874117
Morawskaa, L., et al.: How can airborne transmission of COVID-19 indoors be minimised? Environ. Int. 142, 105832 (2020)
Nieto-Chaupis, H.: Theory of virus public infection through the weiss approach. In: 20th IEEE BIBE, 26–28 October 2020, USA
Weiss, I.: Limiting distributions in some occupancy problems. Ann. Math. Stat. 29, 878–884 (1958)
Johansson, A.: Crowd and environmental management during mass gatherings. Lancet. Infect. Dis 12(2), 150–156 (2012)
Nieto-Chaupis, H.: How effective are teleconsults to persuade patients of pulmonary tuberculosis of avoiding to use public transport at Lima City? In: IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), 2016
Flock, A.K., et al.: Experimental statistics of droplet trajectory and air flow during aerodynamic fragmentation of liquid drops. Int. J. Multiph. Flow 47, 37–49 (2012)
Wolfram: Computation Meets Knowledge: https://www.wolfram.com/
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Nieto-Chaupis, H. (2022). Hybrid 2D Theory of Outdoor Infections in Times of Global Pandemic. In: Nagar, A.K., Jat, D.S., Marín-Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-16-6309-3_20
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DOI: https://doi.org/10.1007/978-981-16-6309-3_20
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