Human Development and Mortality from COVID-19: An Ecological Study in Costa Rica
Main Article Content
Keywords
Human Development Index, COVID-19, ecological studies, Costa Rica
Abstract
Objective: To determine the association between the Human Development Index (HDI) and its components with the mortality rate due to COVID-19 in the cantons of Costa Rica. Materials and methods: An ecological observational study was carried out. The response variable was the COVID-19 mortality rate in the cantons of Costa Rica and the explanatory variable was the cantonal HDI and its three components: material well-being, life expectancy and knowledge. Pearson's correlation coefficient was calculated, with a significance level of 5%. Results: The 82 cantons of Costa Rica were evaluated, finding a COVID 19 mortality rate with an average of 140.26 deaths per 100 thousand inhabitants (95%CI: 130.91, 149.61). The cantons of San José (263.4), Goicoechea (215.5), Montes de Oro (207.5), Corredores (204.0) and Tibás (197.7) have the highest rates. When analyzing the association of the COVID 19 mortality rate between HDI and its components, significant correlations were found at 5% significance with HDI (r=0.3183, p=0.0036), material well-being index (IBM) (r=0.2868, p=0.0090), knowledge index (KI) (r=0.2301, p=0.0376). No significant correlation was found with the life expectancy index (LEI) (r=0.2064, p=0.0628). Conclusions: Among Costa Rican cantons, there is an association between HDI and COVID-19 mortality rate.
References
2. Liu K, He M, Zhuang Z, He D, Li H. Unexpected positive correlation between human development index and risk of infections and deaths of COVID-19 in Italy. One Health Amst Neth. 2020;10:100174.
3. Varotsos CA, Krapivin VF, Xue Y. Diagnostic model for the society safety under COVID-19 pandemic conditions. Saf Sci [Consultado el 20/Abr/2022];136:105164. Disponible en: https://www.sciencedirect.com/science/article/pii/S0925753521000072
4. Cruz-Castanheira H & Monteiro da Silva JH. Mortalidad por COVID-19 y las desigualdades por nivel socioeconómico y por territorio. Enfoques 22-Nov-2021. [Consultado el 25/Abr/2022]; Comisión Económica para América Latina y el Caribe. Disponible en: https://www.cepal.org/es/enfoques/mortalidad-covid-19-desigualdades-nivel-socioeconomico-territorio
5. Rocha R, Atun R, Massuda A, Rache B, Spinola P, Nunes L, et al. Effect of socioeconomic inequalities and vulnerabilities on health-system preparedness and response to COVID-19 in Brazil: a comprehensive analysis. Lancet Glob Health [Consultado el 20/Abr/2022];9(6):e782–92. Disponible en: https://www.sciencedirect.com/science/article/pii/S2214109X21000814
6. Ministerio de Salud. Situación Nacional COVID-19. [Consultado el 15/Abr/2022]. Disponible en: https://www.ministeriodesalud.go.cr
7. Programa de las Naciones Unidas para el Desarrollo (PNUD). Atlas de desarrollo humano cantonal, 2021. [Consultado el 15/Abr/2022]. Disponible en: https://www.cr.undp.org/content/costarica/es/home/atlas-de-desarrollo-humano-cantonal.html
8. Daniel W.W. Bioestadística: Base para el análisis de las ciencias de la salud. 4ta edición. México: Limusa Wiley; 2010.
9. StataCorp. Stata Statistical Software: Release 15. 2017; College Station, TX: StataCorp LLC.
10. Carhuapoma-Yance M, Apolaya-Segura M, Valladares-Garrido MJ, Failoc-Rojas VE, Díaz-Vélez C. Indice desarrollo humano y la tasa de letalidad por Covid-19: Estudio ecológico en América. Rev Cuerpo Med HNAAA [Internet]. 2021;14(3):362–6. Disponible en: http://dx.doi.org/10.35434/rcmhnaaa.2021.143.1258
11. Zazo-Moratalla A, Álvarez-Agea A. CIUDAD COVID 19: una nueva inequidad en el espacio y el tiempo urbano. Urbano [Internet]. 2020;23(41):04–9. Disponible en: http://dx.doi.org/10.22320/07183607.2020.23.41.00
12. Miramontes Carballada, Ángel, Lois González, R., Perles Roselló, M. J., & Miranda Páez, J. Riesgo de contagio por COVID-19 en un entorno urbano (Málaga, noviembre del 2020). Boletín De La Asociación De Geógrafos Españoles [Internet]. 2021 (91). Disponible en: https://bage.age-geografia.es/ojs/index.php/bage/article/view/3212
13. Ferrándiz Espadin R, Cieza Zevallos J. Relación de los indicadores económicos, sociodemográficos, de salud y de desarrollo social con el curso de la mortalidad por COVID-19 en los primeros 120 días de pandemia. Rev Medica Hered [Internet]. 2021;32(1):20–32. Disponible en: http://dx.doi.org/10.20453/rmh.v32i1.3944
14. Kifer D, Bugada D, Villar-Garcia J, Gudelj I, Menni C, Sudre C, et al. Effects of environmental factors on severity and mortality of COVID-19. Front Med (Lausanne) [Internet]. 2020;7:607786. Disponible en: http://dx.doi.org/10.3389/fmed.2020.607786
15. Villasís-Keever MÁ, Miranda-Novales MG. Relación entre la vacunación BCG y el incremento de la mortalidad por COVID-19. ¿Falacia ecológica? Rev Med Inst Mex Seguro Soc [Internet]. 2020;58(2):78–9. Disponible en: http://dx.doi.org/10.24875/RMIMSS.M20000002
