Analysis of COVID-19 Mortality and Survival in Colombia: A prospective Cohort Study / Análisis de la mortalidad y supervivencia para COVID-19 en Colombia: Un estudio de cohorte prospectiva

Abstract Objective: To determine the mortality and survival of COVID-19 cases in Colombia between March and July 2020. Materials and methods: A retrospective cohort study in the Colombian population between March 6 to July 8, 2020, with the data reported to the National Institute of Health. Survival analysis was performed considering the real-time PCR results, died or recovered, the onset of symptoms until the date of death, or the final time of the cohort. The actuarial variation and Long-Rank test were applied for survival. Risk factors were determined by Cox regression. Results: The overall survival rate was 100%, 98%, 97%, and 95% for day 1, 10, 20 and 30, respectively. Differences were found in survival in age, sex, region, and hospitaliza tion time spending (p <0.01), the 30-day survival rate was 96% and 95% for females and males, respectively. The region with the highest survival was Antioquia with 99% and the lower Barranquilla with 93%. The age group with the lowest survival was ≥80 years of age with 60%, and being hospitalized represented a survival rate of 68%. Conclusions: This study is one of the first to estimate survival in the Colombian population diagnosed with COVID-19.

Resumen Objetivo: determinar la mortalidad y supervivencia de casos de COVID-19 en Colombia entre marzo y julio de 2020. Materiales y métodos: Estudio de cohorte retrospectivo en población colombiana entre el 6 de marzo al 8 de julio de 2020, con los datos reportados al Instituto Nacional de Salud. El análisis de supervivencia se realizó considerando los resultados de la PCR en tiempo real, fallecido o recuperado, el inicio de los síntomas hasta la fecha del fallecimiento o el momento final de la cohorte. Para la supervivencia se aplicó la variación actuarial y la prueba de rango largo. Los factores de riesgo se determinaron mediante regresión de Cox. Resultados: La tasa de supervivencia general fue del 100%, 98%, 97% y 95% para los días 1, 10, 20 y 30, respectivamente. Se encontraron diferencias en la su pervivencia en cuanto a edad, sexo, región y tiempo de hospitalización (p <0,01), la tasa de supervivencia a 30 días fue del 96% y 95% para mujeres y hombres, respectivamente. La región con mayor supervivencia fue Antioquia con 99% y la Baja Barranquilla con 93%. El grupo de edad con menor supervivencia fue el ≥80 años con 60%, y la hospitalización representó una tasa de supervivencia del 68%. Conclusiones: Este estudio es uno de los primeros en estimar la supervivencia en la población colombiana diagnosticada con COVID-19.

Infection and Risk Perception of SARS-CoV-2 among Airport Workers: A Mixed Methods Study.

This is a mixed-methods research study carried out on a cohort of airport workers during the SARS-CoV-2 pandemic. We used quantitative and qualitative methods to describe the infection and risk perception of SARS-CoV-2 in a cohort of workers at the International Airport El Dorado/Luis Carlos Galán Sarmiento in Bogotá, Colombia. An incidence of SARS-CoV-2 infection of 7.9% was found in the workers. A high perception of risk was associated with activities such as using public transport. Risk perception is strongly influenced by practices related to work conditions and environments. These findings could help us understand the pandemic's dynamics and the conceptions of the risk of transmission to promote policies on health and safety in this group of workers.