Qualitative assessment of the impacts of the COVID-19 pandemic on migration, access to healthcare, and social wellbeing among Venezuelan migrants and refugees in Colombia.

Background: Colombia hosts a large number of Venezuelan migrants and refugees who are uniquely vulnerable and have been markedly impacted by the COVID-19 pandemic. It is necessary to understand their experiences to inform future policy decisions both in Colombia and during disease outbreaks in other humanitarian contexts in the future. As part of a larger study focused on HIV among Venezuelans residing in Colombia, qualitative interviews were conducted to understand this population's experiences and access to healthcare. Methods: Interviews were conducted with Venezuelan migrants and refugees as well as stakeholders such as care providers, humanitarian workers, and government officials. Interviews were recorded, transcribed, and coded using thematic content analysis. Select quotes were translated and edited for length and/or clarity. Results: Venezuelan migrants and refugees reported high levels of housing instability, job instability, increased barriers to accessing healthcare, and complications in engaging in the HIV care continuum, among other impacts of the COVID-19 pandemic. Stakeholders reported complications in provision of care and obtaining medicines, difficulty maintaining contact with patients, increased discrimination and xenophobia targeting Venezuelan migrants and refugees, increased housing instability among Venezuelan migrants and refugees, and other impacts as a result of the COVID-19 pandemic. Conclusions: This study demonstrates the unique impacts of the COVID-19 pandemic among Venezuelans residing in Colombia by both compounding extant vulnerabilities and introducing new challenges, such as high rates of eviction. Colombia has enacted increasingly inclusive migration policies for Venezuelan refugees and migrants within the country; findings from this study underscore the necessity for such policies both in and outside of the Colombian context.

Real-world Evidence of COVID-19 Vaccines Effectiveness in Solid-organ Transplant Recipient Population in Colombia: A Study Nested in the Esperanza Cohort.

BACKGROUND: Solid-organ transplant recipients (SOTRs) have a higher risk of coronavirus disease 2019 (COVID-19) complications and death and a less powerful and lasting response to vaccines and to natural infection. In Colombia, this population was prioritized in the National Vaccination Plan against COVID-19 and received vaccines from different platforms. The aim of this study was to estimate the effectiveness of the complete vaccination schedule and of the vaccine booster for COVID-19 administered to SOTRs in Colombia. METHODS: A nested-cohort was assembled within the population-based ESPERANZA cohort and included the subset of 16 y and older SOTRs (n = 6963); the follow-up period spanned March 11, 2021, to May 11, 2022. The vaccine effectiveness was estimated with Cox proportional-hazards models so that the overall effectiveness of the complete vaccination schedule, the vaccine booster, each used vaccine, and the homologous and heterologous schedules were estimated, adjusting by the main confounders. RESULTS: The overall effectiveness of being fully vaccinated was 73.7% (95% confidence interval [CI], 68.9%-77.0%) to prevent COVID-19 infection, 83.7% (95% CI, 78.7%-87.5%) to prevent hospitalization, and 92.1% (95% CI, 88.8%-94.4%) to prevent death due to COVID-19. Similarly, the effectiveness of the vaccine booster was 76.7% (95% CI, 70.6%-81.5%), 86.9% (95% CI, 79.4%-91.6%), and 94.5% (95% CI, 89.8%-97.1%) to prevent confirmed COVID-19 infection, hospitalization, and death due to COVID-19, respectively. In both cases, there were no statistically significant differences across age groups. CONCLUSIONS: Findings from this work show a high protection of vaccination against infection, hospitalization, and death due to COVID-19 in SOTRs, which increases with the vaccine booster.

Cost-Effectiveness of the COVID-19 Test, Trace and Isolate Program in Colombia.

BACKGROUND: During the COVID-19 pandemic, Test-Trace-Isolate (TTI) programs have been recommended as a risk mitigation strategy. However, many governments have hesitated to implement them due to their costs. This study aims to estimate the cost-effectiveness of implementing a national TTI program to reduce the number of severe and fatal cases of COVID-19 in Colombia. METHODS: We developed a Markov simulation model of COVID-19 infection combined with a Susceptible-Infected-Recovered structure. We estimated the incremental cost-effectiveness of a comprehensive TTI strategy compared to no intervention over a one-year horizon, from both the health system and the societal perspective. Hospitalization and mortality rates were retrieved from Colombian surveillance data. We included program costs of TTI intervention, health services utilization, PCR diagnosis test, productivity loss, and government social program costs. We used the number of deaths and quality-adjusted life years (QALYs) as health outcomes. Sensitivity analyses were performed. FINDINGS: Compared with no intervention, the TTI strategy reduces COVID-19 mortality by 67%. In addition, the program saves an average of $1,045 and $850 per case when observed from the social and the health system perspective, respectively. These savings are equivalent to two times the current health expenditures in Colombia per year. INTERPRETATION: The TTI program is a highly cost-effective public health intervention to reduce the burden of COVID-19 in Colombia. TTI programs depend on their successful and speedy implementation. FUNDING: This study was supported by the Colombian Ministry of Health through award number PUJ-04519-20 received by EPQ AVO and SDS declined to receive any funding support for this study. The contents are the responsibility of all the individual authors.

Multimorbidity patterns among COVID-19 deaths: proposal for the construction of etiological models.

OBJECTIVES: To describe patterns of multimorbidity among fatal cases of COVID-19, and to propose a classification of patients based on age and multimorbidity patterns to begin the construction of etiological models. METHODS: Data of Colombian confirmed deaths of COVID-19 until June 11, 2020, were included in this analysis (n=1488 deaths). Relationships between COVID-19, combinations of health conditions and age were explored using locally weighted polynomial regressions. RESULTS: The most frequent health conditions were high blood pressure, respiratory disease, diabetes, cardiovascular disease, and kidney disease. Dyads more frequents were high blood pressure with diabetes, cardiovascular disease or respiratory disease. Some multimorbidity patterns increase probability of death among older individuals, whereas other patterns are not age-related, or decrease the probability of death among older people. Not all multimorbidity increases with age, as is commonly thought. Obesity, alone or with other diseases, was associated with a higher risk of severity among young people, while the risk of the high blood pressure/diabetes dyad tends to have an inverted U distribution in relation with age. CONCLUSIONS: Classification of individuals according to multimorbidity in the medical management of COVID-19 patients is important to determine the possible etiological models and to define patient triage for hospitalization. Moreover, identification of non-infected individuals with high-risk ages and multimorbidity patterns serves to define possible interventions of selective confinement or special management.

OBJETIVOS: Describir los patrones de multimorbilidad entre los casos fatales de COVID-19, y proponer una clasificación de los pacientes basada en la edad y los patrones de multimorbilidad para iniciar la construcción de modelos etiológicos. MÉTODOS: Se incluyeron los datos de las muertes confirmadas por COVID-19 en Colombia hasta el 11 de junio de 2020 (n=1 488 muertes). Se exploraron las relaciones entre la COVID-19, las combinaciones de enfermedades y la edad utilizando regresiones polinómicas con ponderación local. RESULTADOS: Las enfermedades más frecuentes fueron la hipertensión arterial, las enfermedades respiratorias, la diabetes, las enfermedades cardiovasculares y las enfermedades renales. Las díadas más frecuentes fueron la hipertensión arterial combinada con diabetes, enfermedades cardiovasculares o enfermedades respiratorias. Algunos patrones de multimorbilidad aumentan la probabilidad de morir en las personas mayores, mientras que otros no están relacionados con la edad o disminuyen la probabilidad de morir en las personas mayores. A diferencia de lo que con frecuencia se considera, no toda la multimorbilidad aumenta con la edad. La obesidad, aislada o combinada con otras enfermedades, se asocia con un mayor riesgo de enfermedad grave en los jóvenes, mientras que el riesgo de la díada hipertensión arterial/diabetes tiende a tener una distribución en U invertida en relación con la edad. CONCLUSIONES: La clasificación de los individuos según la multimorbilidad en el manejo médico de los pacientes con COVID-19 es importante para determinar los posibles modelos etiológicos y definir el triaje de los pacientes para su hospitalización. Además, la identificación de los individuos no infectados con edades y patrones de multimorbilidad de alto riesgo sirve para definir posibles intervenciones de confinamiento selectivo o manejo especial.

Report From Bolsonaro's Brazil: The Consequences of Ignoring Science.

Currently, the fast spread of COVID-19 is the cause of a sanitary emergency in Brazil. This situation is largely due to President Bolsonaro's denial and the uncoordinated actions between the federal and local governments. In addition, the Brazilian government has reported that it would change its method of sharing information about the pandemic. On June 6, 2020, the presentation of accumulated cases and deaths was stopped, and the Supreme Court of Brazil determined that the federal government should continue to consolidate and disseminate the accumulated figures of cases and deaths. However, doubt about the transparency of the data remained. We used data reported by the government from Situation Reports 38-209 of the World Health Organization to assess the Benford's law fulfillment as an indicator of data quality. This rapid evaluation of data quality during the ongoing COVID-19 pandemic in Brazil suggests that the Brazilian public health surveillance system had an acceptable performance at the beginning of the epidemic. Since the end of June, the quality of cumulative death data began to decrease and remains in that condition as of August 2020. A similar situation has existed since August, with the data of accumulated new cases.