Demographic indicators in the incidence of Covid-19 in Santiago de Cuba
DOI:
https://doi.org/10.20947/S0102-3098a0153Keywords:
COVID-19, Multiple linear regression, Cluster, Demographic indicators, Santiago de CubaAbstract
Some researchers have used demographic indicators to estimate the number of people infected by COVID-19. The first goal of this study is to determine to what extent the incidence of cases of COVID-19 in the municipalities of the province of Santiago de Cuba can be explained by certain demographic indicators. The second goal is to construct a hierarchy of groups of municipalities according to the differentiated behavior of the selected demographic indicators. An ecological, exploratory, multi-group study was developed, comparing the nine municipalities of Santiago de Cuba province according to global level variables, supposedly related to the number of cases with COVID-19 confirmed from October 15, 2020 to January 16, 2021. Multiple linear regression analysis was applied to select the model that best described the behavior of the data and cluster analysis to visualize the grouping of the municipalities. A significant correlation was found between the number of cases with COVID-19, population density and urbanization level. On the other hand, in the regression model, only population density was significant when the nine municipalities were considered and the masculinity index, when the atypical municipality, Santiago de Cuba, was excluded. The masculinity index turned out to be a spurious variable conditioned by population density as a confounding variable. The cluster analysis revealed the formation of three groups of municipalities, with Santiago de Cuba being isolated from the rest of the municipalities.
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BENÍTEZ, I.; NARANJO, W.; GARZÓN G. Dinámica demográfica de la provincia Santiago de Cuba: un reto para el desarrollo territorial. Novedades en Población, v. 16, n. 31, p. 1-17, 2020. Disponible en: http://www.novpob.uh.cu. Acceso en: 27 mayo 2021.
BOHK-EWALD, C.; DUDEL C.; MYRSKYLÄ, M. A demographic scaling model for estimating the total number of covid-19 infections. medRxiv, Preprint, 2020. Disponible en: https://doi.org/10.1101/2020.04.23 Acceso en: 19 feb. 2021.
CAROZZI, F.; SANDRO P.; SEFI, R. Urban density and Covid-19. Bonn, Germany: IZA − Institute of Labor Economics, July 2020. (Discussion Paper, n. 13440). Disponible en: https://ssrn.com/abstract=3643204. Acceso en: 19 feb. 2021.
CEDEM − Centro de Estudios Demográficos. Demografía y COVID-19: diferenciales sociales de una pandemia. La Habana: CEDEM, 2020. Disponible en: https://cuba.unfpa.org/es/publications/demograf%C3%ADa-y-covid-19-diferenciales-sociales-y-epidemiol%C3%B3gicos-de-una-pandemia Acceso en: 10 feb. 2021.
COŞKUN, H.; YILDIRIM, N.; GÜNDÜZ, S. The spread of COVID-19 virus through population density and wind in Turkey cities. Science of the Total Environment, v. 751, 141663, 2021. Disponible en: https://doi.org/10.1016/j.scitotenv.2020.141663. Acceso en: 19 feb. 2021.
DESAI, D. Urban densities and the Covid-19 pandemic: upending the sustainability myth of global megacities. Observer Research Foundation, 2020 (ORF Occasional Paper, n. 244). Disponible en: https://www.orfonline,org/wp-content/uploads/2020/05/ORF_OccasionalPaper_244_PandemicUrbanDensities.pdf. Acceso en: 10 feb. 2021.
ESPIN, J.; CARDONA, A.; MIRET, L.; GONZÁLEZ, M. La COVID-19 y su impacto en la salud del adulto mayor. Archivos del Hospital Universitario "General Calixto García", v. 8, n. 3, 2020. Disponible en: http://www.revcalixto.sld.cu/index.php/ahcg/article/view/568/546. Acceso en: 13 may 2021.
FANG, W.; WAHBA, S. Urban density is not an enemy in the coronavirus fight: evidence from China. World Bank Blog, 2020. Disponible en: https://blogs.worldbank.org/sustainablecities/urban-density-not-enemy-coronavirus-fight-evidence-china Acceso en: 15 feb. 2021.
GARLAND, P.; BABBITT, D.; BONDARENKO, M.; SORICHETTA, A.; TATEM, A. J.; JOHNSON, O. The COVID-19 pandemic as experienced by the individual. arXiv: 01167 [physics.soc-ph], 2020. Disponible en: https://arxiv.org/abs/2005.01167 Acceso en: 15 feb. 2021.
KADI, N.; KHELFAOUI, M. Population density, a factor in the spread of COVID-19 in Algeria: statistic study. Bull Natl Res Cent, v. 44, n. 1, p. 1-7, 2020. Disponible en: https://doi.org/10.1186/s42269-020-00393-x. Acceso en: 19 feb. 2021.
KARL, H.; RARDLE, W.; SIMAR, L. Applied multivariate statistical analysis. Springer-Verlag, 2015.
KODERA, S.; RASHED, E.A.; HIRATA, A. Correlation between COVID-19 morbidity and mortality rates in Japan and local population density, temperature, and absolute humidity. Int J Environ Res Public Healt, v. 17, n. 15, 2020. Disponible en: https://doi.org/10.3390/ijerph1715. Acceso en: 19 feb. 2021.
LEÓN, A. M.; HARDOY, J. E. La urbanización en Cuba. Demografía y Economía, v. 6, n. 1, p. 41-67, 1972. Disponible en: www.jstor.org/stable/40601951. Acceso en: 15 feb. 2021.
MOLINA, M.; VÁZQUEZ, M.; DUJARRIC, G. La co-residencia familiar y la COVID-19 en La Habana. Novedades en Población, v. 16, n. 32, p. 33-54, 2020. Disponible en http://www.novpob.uh.cu. Acceso en: 12 mayo 2021.
MINSAP − Ministerio de Salud Pública. Dirección de Registros Médicos y Estadísticas de Salud. Anuario de Salud 2019. La Habana, 2020. Disponible en https://salud.msp.gob.cu/?tag=anuario-estadistico-de-salud Acceso en: 19 feb. 2021.
MINSAP − Ministerio de Salud Pública. Coronavirus en Cuba. Información Oficial del MINSAP, 16 de febrero de 2021/11:59 pm. Disponible en: https://salud.msp.gob.cu/ Acceso en: 17 feb. 2021.
OLIVERA R. A. Globalización, urbanización y salud: impactos de la COVID-19. Arquitectura y Urbanismo, v. 41, n. 3, p. 06-16, 2020. Disponible en: https://www.redalyc.org/jatsRepo/3768/376865021002/html/index.html. Acceso en: 15 feb. 2021.
ONEI − Oficina Nacional de Estadística e Información. Anuario Demográfico de Cuba 2019. La Habana, 2020. Disponible en: http://www.onei.gob.cu/publicaciones-tipo/Anuario. Acceso en: 19 feb. 2021.
OMS − Organización Mundial de la Salud/OPS Organización Panamericana de la Salud. La COVID-19 y adultos mayores, 2020. Disponible en: https://www.paho.org/es/temas/envejecimiento-saludable/covid-19-adultos-mayores Acceso en: 13 mayo 2021.
RASHED, E. A.; KODERA, S.; GOMEZ-TAMES, J.; HIRATA, A. Influence of absolute humidity, temperature and population density on COVID-19 spread and decay durations: multi-prefecture study in Japan. Int J Environ Res Public Health, v. 17, n. 15, 2020. Disponible en: https://doi,org/10,3390/ijerph17155354. Acceso en: 19 feb. 2021.
STOCKEMER, D. Multivariate regression analysis. In: STOCKEMER, D. Quantitative methods for the social sciences. Cham: Springer, 2019. p. 163-174.
VERBRUGGE, L. M.; TAYLOR, R. B. Consequences of population density and size. Urban Affairs Quarterly, v. 16, n. 2, p. 135-160, 1980. Disponible en: http://hdl.handle.net/2027.42/68954. Acceso en: 15 feb. 2021.
WOLFGANG, K.; LÉOPOLD, S. Applied multivariate statistical analysis. 4. ed. Springer-Verlag Berlin Heidelberg, 2015.
ZAMORA, M. L.; SAGARÓ DEL CAMPO, N. M.; VALDÉS, G. L. E.; BENÍTEZ, J. I. Entrada de viajeros y densidad poblacional en la propagación de la COVID-19 en Cuba. Rev. Cubana Med, v. 59, n. 3, 2020. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0034-75232020000300003&lng=en. Acceso en: 19 feb. 2021.
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