medigraphic.com
SPANISH

MediSur

ISSN 1727-897X (Electronic)
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2021, Number 3

<< Back Next >>

Medisur 2021; 19 (3)

COVID-19 in Cuba. Notes for debating statistical-mathematical methods

Seuc Jo AH, Silva ALC, Luis PJ, Fernández GL
Full text How to cite this article

Language: Spanish
References: 31
Page: 377-391
PDF size: 506.58 Kb.


Key words:

coronavirus infections, models, statitiscal, epidemiology.

ABSTRACT

Epidemiology and the statistical-mathematical methods associated with it are fields that acquire relevance in light of the confrontation with the SARS-CoV-2 epidemic in Cuba. To optimize efforts in future battles, it is necessary to critically analyze what has been done in this regard. The objective of this work is to identify the shortcomings in the epidemiological approach and associated statistical-mathematical techniques, in the statistical treatment of the course of the COVID-19 epidemic. A documentary review was carried out, mainly of Cuban medical journals, and in the Pubmed database. Articles and reports were selected that dealt with the subject of COVID-19 from an epidemiological and/or statistical-mathematical perspective. The use of statistical-mathematical techniques without an adequate epidemiological basis can generate false expectations and make it difficult to make adequate decisions. This occurs, in particular, with models that aim to describe, analyze and predict the behavior of the curves of active cases. The issues discussed, of a statistical-epidemiological nature, can contribute modestly to the necessary debates, without which it is impossible to make an objective assessment of the situation.


REFERENCES

  1. Puig Y. La ciencia cubana, puntal indiscutible en la etapa de recuperación post COVID-19 [Internet]. La Habana: Cubadebate; 2020 [citado 15 Ago 2020]. Disponible en: http://www.cubadebate.cu/noticias/2020/06/11/la-ciencia-cubana-puntal-indiscutible-en-la-etapa-de-recuperacion-post-covid-19/

  2. Mas P. La COVID-19 y la práctica epidemiológica en Cuba. Rev Cubana Hig Epidemiol [revista en Internet]. 2020 [citado 4 Ene 2021];57:[aprox. 6p]. Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/view/307

  3. Fonte L, Hernández Y, Pérez D. Infectados por SARS CoV-2 y enfermos de COVID-19. Precisiones necesarias. Rev Cubana Hig Epidemiol [revista en Internet]. 2020 [citado 4 Ene 2021];57:[aprox. 8p]. Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/view/809

  4. Cella L, Gagliardi G, Hedman M, Palma G. Injuries From Asymptomatic COVID-19 Disease: New Hidden Toxicity Risk Factors in Thoracic Radiation Therapy. Int J Radiat Oncol Biol Phys. 2020;108(2):394-6

  5. Tan J, Liu S, Zhuang L, Chen L, Dong M, Zhang J, et al. Transmission and clinical characteristics of asymptomatic patients with SARS-CoV-2 infection. Future Virol [revista en Internet]. 2020 [citado 4 Ene 2021];15(6):[aprox. 26p]. Disponible en: https://www.futuremedicine.com/doi/10.2217/fvl-2020-0087

  6. Zhou X, Li Y, Li T, Zhang W. Follow-up of asymptomatic patients with SARS-CoV-2 infection. Clin Microbiol Infect. 2020;26(7):957-9

  7. Chen I, Clarke SE, Gosling R, Hamainza B, Killeen G, Magill A, et al. "Asymptomatic" Malaria: A Chronic and Debilitating Infection That Should Be Treated. PLoS Med. 2016 Ene 19;13(1):e1001942

  8. Fonte L, García G. SARS CoV-2 ¿el más letal coronavirus?. Rev Cubana Hig Epidemiol [revista en Internet]. 2020 [citado 4 Ene 2021];57:[aprox. 10p]. Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/view/437

  9. Guinovart R, Abelló I, Morales W. La ocurrencia de rebrotes de la COVID-19 y su relación con el número reproductivo. Rev Cubana Hig Epidemiol [revista en Internet]. 2020 [citado 30 Abr 2021];57:[aprox. 22p]. Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/view/308

  10. Montero M. Un modelo multinivel para la predicción del total de casos confirmados de COVID-19 en Cuba: comparación con otros países. Ciencias Matemáticas [revista en Internet]. 2020 [citado 4 Ene 2021];34(1):[aprox. 16p]. Disponible en: http://www.revinfodir.sld.cu/index.php/infodir/article/download/1051/1255

  11. Prades E, Martin D. Modelos estadísticos para las predicciones de la COVID-19 en Cuba. Rev Cubana Hig Epidemiol [revista en Internet]. 2020 [citado 30 Abr 2021];57:[aprox. 26p]. Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/view/303

  12. Choisy M, Guégan J, Rohani P. Mathematical Modeling of Infectious Diseases Dynamics. En: Tibayrenc M, editores. Encyclopedia of Infectious Diseases: Modern Methodologies. New Jersey: John Wiley & Sons, Inc; 2007. p. 379-404

  13. Nguemdjo U, Meno F, Dongfack A, Ventelou B. Simulating the progression of the COVID-19 disease in Cameroon using SIR models. PLoS One. 2020;15(8):e0237832

  14. Tang L, Zhou Y, Wang L, Purkayastha S, Zhang L, He J. A Review of Multi‐Compartment Infectious Disease Models. Int Statist Rev. 2020;88(2):462-513

  15. Reise SP, Duan N. Multilevel Modeling: Methodological Advances, Issues, and Applications. Mahwah: Lawrence Erlbaum; 2003

  16. Lee SY, Lei B, Mallick B. Estimation of COVID-19 spread curves integrating global data and borrowing information. PLoS One. 2020;15(7):e0236860

  17. Hale T, Petherick A, Phillips T, Webster S, Tatlow H, Hallas L, et al. Variation in Government Responses to COVID-19” Version 11.0 [Internet]. Oxford: Blavatnik School of Government; 2020 [citado 7 Ene 2020]. Disponible en: https://www.bsg.ox.ac.uk/sites/default/files/2021-03/BSG-WP-2020-032-v11.pdf

  18. Lin Q, Zhao S, Gao D, Lou Y, Yang S, Musa SS, Wang MH, Cai Y, Wang W, Yang L, He D. A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action. Int J Infect Dis. 2020;93:211-6

  19. Studdert DM, Hall MA. Disease Control, Civil Liberties, and Mass Testing - Calibrating Restrictions during the Covid-19 Pandemic. N Engl J Med. 2020;383(2):102-4

  20. Kretzschmar ME, Rozhnova G, Bootsma MCJ, van Boven M, van de Wijgert JHHM, Bonten MJM. Lancet Public Health. 2020;5(8):e452-9

  21. Ministerio de Salud Pública. Anuario Estadístico de Salud 2010. La Habana: Dirección Nacional de Registros Médicos y Estadísticas de Salud; 2011

  22. Alonso R, Izquierdo L, Fariñas L, Romeo L. Cuba no relaja medidas ni se confía, pese a escenario favorable en el manejo de la COVID-19 [Internet]. La Habana: Cubadebate; 2020 [citado 15 Ago 2020]. Disponible en: http://www.cubadebate.cu/noticias/2020/05/29/cuba-no-relaja-medidas-ni-se-confia-pese-a-escenario-favorable-en-el-manejo-de-la-covid-19-video/#anexo-1374717

  23. Doshi P. Covid-19: Do many people have pre-existing immunity?. BMJ. 2020;370:m3563

  24. Ros K. 'Social distancing' and 'flattening the curve': What does it mean? [Internet]. Atlanta: 11Alive; 2020 [citado 20 Feb 2021]. Disponible en: https://www.11alive.com/article/news/health/coronavirus/social-distancing-flattening-the-curve-what-does-it-mean/85-29ffb468-9e63-4c15-9715-2381049b3313

  25. Block P, Hoffman M, Raabe IJ, Dowd JB, Rahal C, Kashyap R, et al. Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world. Nat Hum Behav. 2020;4(6):588-96

  26. Atkeson A. What will be the economic impact of COVID-19 in the US? Rough estimates of disease scenarios [Internet]. Cambridge, MA: National Bureau of Economic Research; 2020 [citado 20 Feb 2021]. Disponible en: https://www.nber.org/system/files/working_papers/w26867/w26867.pdf

  27. Killeen G. Containment strategies for the 2019 Novel Coronovirus: flatten the curve of crush it?. Eur J Epidemiol. 2020;35(8):789-90

  28. Kenyon C. Flattening-the-curve associated with reduced COVID-19 case fatality rates- an ecological analysis of 65 countries. J Infect. 2020;81(1):e98-e99

  29. Ellyatt H. Coronavirus likely to become as “endemic” as the flu and a vaccine might not be able to stop it, top UK scientist says [Internet]. New Jersey: CNBC; 2020 [citado 28 Feb 2021]. Disponible en: https://www.cnbc.com/2020/10/20/covid-19-likely-to-become-as-endemic-as-flu.html?&qsearchterm=Coronavirus likely to become as “endemic” as the flu and a vaccine might not be able to stop it, top UK scientist says

  30. Pérez ND, Remond R, Torres A, Veranes A, Fernández JM, Oviedo V, et al. Distribución de la población vulnerable a la enfermedad COVID-19 en La Habana, Cuba. Rev Cubana Hig Epidemiol [revista en Internet]. 2020 [citado 30 Abr 2021];57:[aprox. 34p]. Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/download/371/422

  31. Lage C, Alvarez AG, García M, Bell L, Alfaro A. Trabajo del área de salud 19 de Abril en la atención a enfermos de COVID-19, marzo- junio 2020. Rev Cubana Hig Epidemiol [revista en Internet]. 2020 [citado 30 Abr 2021]; 57. Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/view/352




2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Medisur. 2021;19