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Some Pragmatic Prevention’s Guidelines Regarding SARS-CoV-2 and COVID-19 in Latin-America Inspired by Mixed Machine Learning Techniques and Artificial Mathematical Intelligence. Case Study: Colombia

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Technological and Industrial Applications Associated with Intelligent Logistics

Abstract

We use an enhanced methodology combining specific forms of AI techniques, opinion mining and artificial mathematical intelligence (AMI), with public data on the spread of the coronavirus SARS-CoV-2 and the incidence of COVID-19 disease in Colombia during the first three months since the first reported positive case. The results obtained, together with conceptual tools coming from the global taxonomy of fundamental cognitive mechanisms emerging in AMI and with suitable contextual information from Colombian public health and mainstream social media, allowed us to stating specific preventive guidelines for a better restructuring of initial safe and stable life conditions in Colombia, and in an extended manner in similar Latin American Countries. More specifically, we describe three major guidelines: (1) regular creative visualization and effective planning, (2) the continuous use of constructive linguistic frameworks, and (3) frequent and moderate use of kinesthetic routines. They should be understood as effective tools from a cognitive and behavioural perspective, rather than from a biological one. Even more, the first two guidelines should be acknowledged in integral cooperation with the third one regarding the global effect of COVID-19 in human beings as a whole, this includes the mind and the body.

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Notes

  1. 1.

    Assuming, of course, a suitable contextualization of each of them to the corresponding local policies and cultural conditions.

  2. 2.

    These kind of techniques possess a wide and strong support from groups of people going beyond the academic field, like, for example, particular communities of entrepreneurs or athletes.

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Acknowledgements

Danny A. J. Gómez-Ramírez would like to thank the Institución Universitaria Pascual Bravo and to the Institución Universitaria ITM (Instituto Tecnológico Metropolitano) and to Visión Real Cognitiva S.A.S. for all the support. He also wishes to thank William Restrepo, Elizabeth Yepes and Yury Baena for all their kindness and support. Yoe and Johana want to thank their three daughters Salomé, Sofía and Sara for the love and happiness they bring to their lives. Yoe Herrera also thanks Universidad Autonóma de Bucaramanga for their support.

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Correspondence to Yoe A. Herrera-Jaramillo .

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Appendix

Appendix

See Figs. 7, 8, 9, 10 and 11.

Fig. 7
figure 7

Sentiment analysis of April 6 and 7

Fig. 8
figure 8

Sentiment analysis of April 20 and 21

Fig. 9
figure 9

Sentiment analysis of May 30 and 31

Fig. 10
figure 10

Sentiment analysis of June 14 and 15

Fig. 11
figure 11

Sentiment analysis of June 19 and 20

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Gómez-Ramírez, D.A.J., Herrera-Jaramillo, Y.A., Ortega-Giraldo, J.C., Ardila-Garcia, A.M. (2021). Some Pragmatic Prevention’s Guidelines Regarding SARS-CoV-2 and COVID-19 in Latin-America Inspired by Mixed Machine Learning Techniques and Artificial Mathematical Intelligence. Case Study: Colombia. In: Ochoa-Zezzatti, A., Oliva, D., Juan Perez, A. (eds) Technological and Industrial Applications Associated with Intelligent Logistics. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-68655-0_26

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  • DOI: https://doi.org/10.1007/978-3-030-68655-0_26

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