Reflections on the scientific research carried out in Mexico during the COVID-19 pandemic

Gustavo Santoyo

Abstract


Mexican researchers have developed resilience as a result of sustained public and institutional policies that fail to optimize the creative and productive processes of this valuable human resource. Nevertheless, they still manage to produce competitive research. Since March 20, 2020, Mexican researchers have had to cope with the COVID-19 pandemic, in addition to the institutional and work challenges they already faced. They continued working under the conditions created by the preventive measures imposed by their institutions thanks to the commitment with students and with higher education. Because of the passion for researching and teaching, and because Mexico requires and demands it.

Keywords


SARS-CoV-2; Mitigation; Postgraduate; Educational Institutions

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References


Atalla E, Zhang R, Shehadeh F, Mylona EK, Tsikala-Vafea M, Kalagara S, Henseler L, Chan PA and Mylonakis E. 2021. Clinical presentation, course, and risk factors associated with mortality in a severe outbreak of covid-19 in Rhode Island, USA, April–June 2020. Pathogens 10(1): 1–10. https://doi.org/10.3390/pathogens10010008

Copeland WE, McGinnis E, Bai Y, Adams Z, Nardone H, Devadanam V, Rettew J and Hudziak JJ. 2021. Impact of COVID-19 pandemic on college student mental health and wellness. Journal of the American Academy of Child and Adolescent Psychiatry 60(1): 134-141.e2. https://doi.org/10.1016/j.jaac.2020.08.466.

Mazón M y Aguirre N. 2017. Los estudiantes universitarios, motor de la investigación. College students, the driving force of research. 7: 8–9.

Ortega-Rubio A, Murillo-Amador B, Díaz-Castro S, BeltránMorales LF, Gómez-Anduro G, Castro-Iglesias C y Blázquez MC. 2020. COVID-19: Los reajustes en el trabajo de investigación científica en México. Terra Latinoamericana 38: 917-930. https://doi.org/10.28940/terra.v38i4.864

Hamadneh NN, Tahir M and Khan WA. 2021. Using artificial neural network with prey predator algorithm for prediction of the COVID-19: The Case of Brazil and Mexico. Mathematics 9(2): 180. https://doi.org/10.3390/math9020180

Rodríguez-Miramontes J, González-Brambila CN y Maqueda-Rodríguez G. 2017. El sistema nacional de investigadores en México: 20 años de producción científica en las instituciones de educación superior (1991-2011). Investigación Bibliotecológica (Special Issue): 187–219. https://doi.org/10.22201/iibi.24488321xe.2017.nesp1.57890

Ruiz-Cantero MT. 2021. Health statistics and invisibility by sex and gender during the COVID-19 epidemic. Gaceta Sanitaria 35(1): 95–98. https://doi.org/10.1016/j.gaceta.2020.04.008

Singh B. 2021. OUP accepted manuscript. International Journal of Epidemiology. 1–5. https://doi.org/10.1093/ije/dyaa276

Walker PGT, Whittaker C, Watson OJ, Baguelin M, Winskill P, Hamlet A, Djafaara BA, Cucunubá Z, Mesa DO, Green W, Thompson H, Nayagam S, Ainslie KEC, Bhatia S, Bhatt S, Boonyasiri A, Boyd O, Brazeau NF, Cattarino L. et al., 2020. The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. Science 369(6502): 413–422. https://doi.org/10.1126/science.abc0035




DOI: http://dx.doi.org/10.18781/R.MEX.FIT.2021-15

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