[Response capacity to the COVID-19 pandemic in Latin America and the Caribbean]
- PMID: 32952533
- PMCID: PMC7491860
- DOI: 10.26633/RPSP.2020.109
[Response capacity to the COVID-19 pandemic in Latin America and the Caribbean]
Abstract
Objective: To analyze the evolution of the COVID-19 pandemic in Latin American and Caribbean countries in its first 90 days and its association with variables related to public health measures, and demographic, health and social characteristics.
Methods: he trend in new daily cases and the crude mortality rate (CMR) from COVID-19 were analyzed through the Joinpoint regression analysis methodology, using the Joinpoint Regression Program 4.8.0.1. Data was obtained from the Our World in Data registry. A multiple correspondence analysis was performed between the public health measures adopted in each country to face the COVID-19 pandemic (measured through the stringency index, Oxford University) and sanitary, demographic and social conditions, and the results of the evolution of the pandemic. SPSS software was used.
Results: The Joinpoint regression analysis showed that the highest increase in the number of cases was observed in Brazil (11.3%) and the highest increase in CMR in Mexico (16.2%). The multiple correspondence analysis showed that CMR was associated with the total population, the stringency index, the level of urbanization, the proportion of the population living on less than one dollar a day, the prevalence of diabetes and the number of hospital beds.
Conclusions: The countries of the region show a heterogeneous evolution in the incidence of COVID-19. This heterogeneity is associated with both the public health measures adopted, as well as with the population size, poverty levels and pre-existing health systems.
Objetivo.: Analizar la evolución de la pandemia de COVID-19 en países de América Latina y el Caribe en sus primeros 90 días y su asociación con variables relacionadas con las medidas de salud pública y características demográficas, sanitarias y sociales.
Métodos.: Se analizó la tendencia de nuevos casos diarios y la tasa cruda de mortalidad por COVID-19 (TCM) través de la metodología de análisis de regresión Joinpoint, utilizando el Programa de Regresión de Joinpoint 4.8.0.1. Los datos se obtuvieron del registro Our World in Data. Se realizó un análisis de correspondencias múltiple entre las medidas de salud pública adoptadas en cada país frente a la pandemia de COVID-19 (medido a través del índice de rigor de la Universidad de Oxford), las condiciones sanitarias, demográficas y sociales y los resultados de la evolución de la pandemia. Se utilizó el programa SPSS.
Resultados.: El análisis de regresión Joinpoint indica que el mayor crecimiento en el número de casos se observa en Brasil (11,3%) y la mayor velocidad de crecimiento en la TCM en México (16,2%). El análisis de correspondencia múltiple identificó que la TCM se asocia con la población total, el índice de rigor, el nivel de urbanización, la proporción de la población que vive con menos de un dólar al día, la prevalencia de diabetes y el número de camas hospitalarias.
Conclusiones.: Los países de la región muestran una evolución heterogénea en la incidencia de COVID-19. Esta heterogeneidad se asocia tanto con las medidas de salud pública adoptadas, así como con el tamaño de la población, los niveles de pobreza y los sistemas de salud preexistentes.
Keywords: Americas; Caribbean region; Coronavirus infection; Latin America; pandemics.
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