Entornos amigables con las personas mayores: evaluación de línea base en América Latina con referencia a Costa Rica

Consolidar entornos amigables para las personas mayores es un objetivo de la Década del Envejecimiento Saludable 2021-2030. El Programa de la Organización Mundial de la Salud (OMS) de Ciudades y Comunidades Amigables con las Personas Mayores establece que, para poder avanzar en este objetivo, se requiere como primer paso realizar una evaluación de referencia, con la participación activa de las personas mayores, que determine las áreas en las que las ciudades y las comunidades deben trabajar para remover las barreras que experimentan las personas mayores y crear entornos cada vez más amigables y adaptados a sus requerimientos. El programa de la OMS recomienda la utilización del Protocolo de Vancouver para realizar esta evaluación. Debido a las particularidades de su ejecución, muchos países de América Latina hicieron adaptaciones para favorecer la implementación local y subsanar las dificultades que se presentaron. Con el objetivo de perfilar el conocimiento actual disponible en América Latina y tomar en consideración las experiencias de las ciudades y comunidades de la subregión, el presente documento recopila algunos ejemplos y casos de estas adaptaciones, como el programa implementado en Costa Rica, que servirán para orientar las acciones de políticas hacia el desarrollo pleno de las personas a lo largo de todo el curso de vida. A fin de dar respuesta a los desafíos que plantea la transición demográfica, es fundamental crear instrumentos que permitan adaptar los entornos de modo de favorecer el envejecimiento saludable, para lo cual se debe contar con información certera, actualizada y eficaz. La Década del Envejecimiento Saludable establece un período para orientar la acción hacia la generación y el seguimiento de la información, estrategia en la que se enmarca este informe.

Cohort profile: evaluation of immune response and household transmission of SARS-CoV-2 in Costa Rica: the RESPIRA study.

PURPOSE: The RESPIRA cohort aims to describe the nature, magnitude, time course and efficacy of the immune response to SARS-CoV-2 infection and vaccination, population prevalence, and household transmission of COVID-19. PARTICIPANTS: From November 2020, we selected age-stratified random samples of COVID-19 cases from Costa Rica confirmed by PCR. For each case, two population-based controls, matched on age, sex and census tract were recruited, supplemented with hospitalised cases and household contacts. Participants were interviewed and blood and saliva collected for antibodies and PCR tests. Participants will be followed for 2 years to assess antibody response and infection incidence. FINDINGS TO DATE: Recruitment included 3860 individuals: 1150 COVID-19 cases, 1999 population controls and 719 household contacts from 304 index cases. The age and regional distribution of cases was as planned, including four age strata, 30% rural and 70% urban. The control cohort had similar sex, age and regional distribution as the cases according to the study design. Among the 1999 controls recruited, 6.8% reported at enrolment having had COVID-19 and an additional 12.5% had antibodies against SARS-CoV-2. Compliance with visits and specimens has been close to 70% during the first 18 months of follow-up. During the study, national vaccination was implemented and nearly 90% of our cohort participants were vaccinated during follow-up. FUTURE PLANS: RESPIRA will enable multiple analyses, including population prevalence of infection, clinical, behavioural, immunological and genetic risk factors for SARS-CoV-2 acquisition and severity, and determinants of household transmission. We are conducting retrospective and prospective assessment of antibody levels, their determinants and their protective efficacy after infection and vaccination, the impact of long-COVID and a series of ancillary studies. Follow-up continues with bimonthly saliva collection for PCR testing and biannual blood collection for immune response analyses. Follow-up will be completed in early 2024. TRIAL REGISTRATION NUMBER: NCT04537338.

Efecto de factores sociodemográficos en la mortalidad del COVID-19 en Costa Rica: un enfoque geográfico

Introducción: La enfermedad por coronavirus (COVID-19) se ha extendido entre la población de todo el país y ha tenido un gran impacto a nivel mundial. Sin embargo, existen diferencias geográficas importantes en la mortalidad de COVID-19 entre las diferentes regiones del mundo y en Costa Rica. Objetivo: Explorar el efecto de algunos de los factores sociodemográficos en la mortalidad de COVID-19 en pequeñas divisiones geográficas o cantones de Costa Rica. Métodos: Usamos registros oficiales y aplicamos un modelo de regresión clásica de Poisson y un modelo de regresión ponderada geográficamente. Resultados: Obtuvimos un criterio de información de Akaike (AIC) más bajo con la regresión ponderada (927.1 en la regresión de Poison versus 358.4 en la regresión ponderada). Los cantones con un mayor riesgo de mortalidad por COVID-19 tuvo una población más densa; bienestar material más alto; menor proporción de cobertura de salud y están ubicadas en el área del Pacífico de Costa Rica. Conclusiones: Una estrategia de intervención de COVID-19 específica debería concentrarse en áreas de la costa pacífica con poblaciones más densas, mayor bienestar material y menor población por unidad de salud.

Introduction: The coronavirus disease (COVID-19) has spread among the population of Costa Rica and has had a great global impact. However, there are important geographic differences in mortality from COVID-19 among world regions and within Costa Rica. Objective: To explore the effect of some sociodemographic factors on COVID-19 mortality in the small geographic divisions or cantons of Costa Rica. Methods: We used official records and applied a classical epidemiological Poisson regression model and a geographically weighted regression model. Results: We obtained a lower Akaike Information Criterion with the weighted regression (927.1 in Poisson regression versus 358.4 in weighted regression). The cantons with higher risk of mortality from COVID-19 had a denser population; higher material well-being; less population by health service units and are located near the Pacific coast. Conclusions: A specific COVID-19 intervention strategy should concentrate on Pacific coast areas with denser population, higher material well-being and less population by health service units.

Adverse Events Following mRNA COVID-19 Vaccine in 2021 and 2022: A Retrospective Analysis in Costa Rica and Italy.

Introduction Pharmacovigilance plays a crucial role in evaluating and monitoring the safety of medicines, which is essential for preventing harm to patients and improving public health. This study aims to compare the pharmacovigilance systems of Costa Rica and Italy and assess the safety profile of coronavirus disease 2019 (COVID-19) vaccines in both countries. Methods Data were collected from the official pharmacovigilance platforms in Costa Rica and Italy. Adverse events following immunization (AEFIs) were categorized by system organ class. Reports of suspected AEFIs associated with COVID-19 vaccines were analyzed for the period from January 1, 2021, to December 31, 2022. Results Both countries achieved high vaccination rates, with 84.9% in Italy and 92.9% in Costa Rica. A higher proportion of AEFIs occurred in females in both countries, with 53% and 65% in Naples and Costa Rica, respectively. Most AEFIs were observed in individuals aged 18-64 years. The rate of serious adverse reactions was lower in both countries than the international average. However, Naples reported a higher incidence of serious events per 100,000 inhabitants. Discussion The study sheds light on the importance of vaccine safety profiling and the significance of a comprehensive understanding of vaccine safety and effectiveness, specific population data, and collaborative strategies to mitigate and improve safety. Additionally, the study highlighted the significance of considering sex and gender when evaluating vaccine safety and efficacy, as sex-specific differences may impact vaccine outcomes. Conclusion Continuous pharmacovigilance efforts, collaborative approaches, and comprehensive data analysis are critical in ensuring vaccine safety and efficacy and safeguarding global public health. Lessons learned from the COVID-19 pandemic highlight the importance of proactive measures in addressing emerging challenges in vaccine safety and rollout programs worldwide.

Estimating the cumulative incidence of SARS-CoV-2 infection in Costa Rica: modelling seroprevalence data in a population-based cohort.

Background: The true incidence of SARS-CoV-2 infection in Costa Rica was likely much higher than officially reported, because infection is often associated with mild symptoms and testing was limited by official guidelines and socio-economic factors. Methods: Using serology to define natural infection, we developed a statistical model to estimate the true cumulative incidence of SARS-CoV-2 in Costa Rica early in the pandemic. We estimated seroprevalence from 2223 blood samples collected from November 2020 to October 2021 from 1976 population-based controls from the RESPIRA study. Samples were tested for antibodies against SARS-CoV-2 nucleocapsid and the receptor-binding-domain of the spike proteins. Using a generalized linear model, we estimated the ratio of true infections to officially reported cases. Applying these ratios to officially reported totals by age, sex, and geographic area, we estimated the true number of infections in the study area, where 70% of Costa Ricans reside. We adjusted the seroprevalence estimates for antibody decay over time, estimated from 1562 blood samples from 996 PCR-confirmed COVID-19 cases. Findings: The estimated total proportion infected (ETPI) was 4.0 times higher than the officially reported total proportion infected (OTPI). By December 16th, 2021, the ETPI was 47% [42-52] while the OTPI was 12%. In children and adolescents, the ETPI was 11.0 times higher than the OTPI. Interpretation: Our findings suggest that nearly half the population had been infected by the end of 2021. By the end of 2022, it is likely that a large majority of the population had been infected. Funding: This work was sponsored and funded by the National Institute of Allergy and Infectious Diseases through the National Cancer Institute, the Science, Innovation, Technology and Telecommunications Ministry of Costa Rica, and Costa Rican Biomedical Research Agency-Fundacion INCIENSA (grant N/A).

Challenges detecting SARS-CoV-2 in Costa Rican domestic wastewater and river water.

This study presents the development of a SARS-CoV-2 detection method for domestic wastewater and river water in Costa Rica, a middle-income country in Central America. Over a three-year period (November to December 2020, July to November 2021, and June to October 2022), 80 composite wastewater samples (43 influent and 37 effluent) were collected from a Wastewater Treatment Plant (SJ-WWTP) located in San José, Costa Rica. Additionally, 36 river water samples were collected from the Torres River near the SJ-WWTP discharge site. A total of three protocols for SARS-CoV-2 viral concentration and RNA detection and quantification were analyzed. Two protocols using adsorption-elution with PEG precipitation (Protocol A and B, differing in the RNA extraction kit; n = 82) were used on wastewater samples frozen prior to concentration, while wastewater (n = 34) collected in 2022 were immediately concentrated using PEG precipitation. The percent recovery of Bovine coronavirus (BCoV) was highest using the Zymo Environ Water RNA (ZEW) kit with PEG precipitation executed on the same day as collection (mean 6.06 % ± 1.37 %). It was lowest when samples were frozen and thawed, and viruses were concentrated using adsorption-elution and PEG concentration methods using the PureLink™ Viral RNA/DNA Mini (PLV) kit (protocol A; mean 0.48 % ± 0.23 %). Pepper mild mottle virus and Bovine coronavirus were used as process controls to understand the suitability and potential impact of viral recovery on the detection/quantification of SARS-CoV-2 RNA. Overall, SARS-CoV-2 RNA was detected in influent and effluent wastewater samples collected in 2022 but not in earlier years when the method was not optimized. The burden of SARS-CoV-2 at the SJ-WWTP decreased from week 36 to week 43 of 2022, coinciding with a decline in the national COVID-19 prevalence rate. Developing comprehensive nationwide surveillance programs for wastewater-based epidemiology in low-middle-income countries involves significant technical and logistical challenges.

Behavioral factors and SARS-CoV-2 transmission heterogeneity within a household cohort in Costa Rica.

INTRODUCTION: Variability in household secondary attack rates and transmission risks factors of SARS-CoV-2 remain poorly understood. METHODS: We conducted a household transmission study of SARS-CoV-2 in Costa Rica, with SARS-CoV-2 index cases selected from a larger prospective cohort study and their household contacts were enrolled. A total of 719 household contacts of 304 household index cases were enrolled from November 21, 2020, through July 31, 2021. Blood specimens were collected from contacts within 30-60 days of index case diagnosis; and serum was tested for presence of spike and nucleocapsid SARS-CoV-2 IgG antibodies. Evidence of SARS-CoV-2 prior infections among household contacts was defined based on the presence of both spike and nucleocapsid antibodies. We fitted a chain binomial model to the serologic data, to account for exogenous community infection risk and potential multi-generational transmissions within the household. RESULTS: Overall seroprevalence was 53% (95% confidence interval (CI) 48-58%) among household contacts. The estimated household secondary attack rate is 34% (95% CI 5-75%). Mask wearing by the index case is associated with the household transmission risk reduction by 67% (adjusted odds ratio = 0.33 with 95% CI: 0.09-0.75) and not sharing bedroom with the index case is associated with the risk reduction of household transmission by 78% (adjusted odds ratio = 0.22 with 95% CI 0.10-0.41). The estimated distribution of household secondary attack rates is highly heterogeneous across index cases, with 30% of index cases being the source for 80% of secondary cases. CONCLUSIONS: Modeling analysis suggests that behavioral factors are important drivers of the observed SARS-CoV-2 transmission heterogeneity within the household.

When living in the same house with known SARS-CoV-2 cases, household members may change their behavior and adopt preventive measures to reduce the spread of SARS-CoV-2. To understand how behavioral factors affect SARS-CoV-2 spreading in household settings, we focused on household members of individuals with laboratory-confirmed SARS-CoV-2 infections and followed the way SARS-CoV-2 spread within the household, by looking at who had antibodies against the virus, which means they were infected. We also asked participants detailed questions about their behavior and applied mathematical modeling to evaluate its impact on SARS-CoV-2 transmission. We found that mask-wearing by the SARS-CoV-2 cases, and avoiding sharing a bedroom with the infected individuals, reduces SARS-CoV-2 transmission. However, caring for SARS-CoV-2 cases, and prolonged interaction with infected individuals facilitate SARS-CoV-2 spreading. Our study helps inform what behaviors can help reduce SARS-CoV-2 transmission within a household.

Cost-effectiveness of COVID-19 vaccination in Latin America and the Caribbean: an analysis in Argentina, Brazil, Chile, Colombia, Costa Rica, Mexico, and Peru.

OBJECTIVE: Our study analyzes the cost-effectiveness of the COVID-19 vaccination campaigns in Argentina, Brazil, Chile, Colombia, Costa Rica, Mexico, and Peru. METHODS: Using a previously published SVEIR model, we analyzed the impact of a vaccination campaign (2021) from a national healthcare perspective. The primary outcomes were quality adjusted life years (QALYs) lost and total costs. Other outcomes included COVID-19 cases, hospitalizations, deaths, and life years. We applied a discount rate of 3% for health outcomes. We modeled a realistic vaccination campaign in each country (the realistic country-specific campaign). Additionally, we assessed a standard campaign (similar, "typical" for all countries), and an optimized campaign (similar in all countries with higher but plausible population coverage). One-way deterministic sensitivity analyses were performed. FINDINGS: Vaccination was health improving as well as cost-saving in almost all countries and scenarios. Our analysis shows that vaccination in this group of countries prevented 573,141 deaths (508,826 standard; 685,442 optimized) and gained 5.07 million QALYs (4.53 standard; 6.03 optimized). Despite the incremental costs of vaccination campaigns, they had a total net cost saving to the health system of US$16.29 billion (US$16.47 standard; US$18.58 optimized). The realistic (base case) vaccination campaign in Chile was the only scenario, which was not cost saving, but it was still highly cost-effective with an ICER of US$22 per QALY gained. Main findings were robust in the sensitivity analyses. INTERPRETATION: The COVID-19 vaccination campaign in seven Latin American and Caribbean countries -that comprise nearly 80% of the region- was beneficial for population health and was also cost-saving or highly cost-effective.

Virtual participatory mapping of nature-based solutions in the Grande de Tárcoles River basin, Costa Rica: Connecting diverse knowledge systems in a context of physical immobility.

Co-design processes are of key importance in planning and implementing Nature-based Solutions (NBS), but require boundary management between diverse holders of local, practical and scientific knowledge. Participatory and map-based planning tools, such as Geodesign workshops, can facilitate such boundary management through mobilising knowledge holders, and translating and negotiating between different perspectives. The COVID-19 pandemic hindered physical mobility, but offered an, albeit unintended, opportunity to explore new ways of virtual mobility for facilitating boundary management in NBS co-design through digital participatory tools. This short communication aims to demonstrate how a spatial planning process for NBS can be facilitated in an online context. We draw on an international case study for co-designing NBS in Costa Rica, conducted during the severe lock-down restriction of the COVID-19 pandemic. This novel approach showcases how physical presence and movement is replaced by virtual mobility enabled through an online geographic map-based environment that allowed participants to communicate their opinions and co-create local and regional NBS actions. The case study included developing and testing a co-design tool to understand and map local perceptions of social-ecological problems, and an actual co-design process for siting NBS options and jointly exploring their implications. We present two levels of the process: 1) the adaptation of the co-design tool, and 2) the use and usefulness of the co-design tool. Our evaluation shows that the tool served its purpose well and provided useful support to local stakeholders. We recommend to test further strategical combinations of in-person and virtual methods in NBS co-design processes to improve NBS planning and implementation.

Excess mortality from COVID 19 in Costa Rica: a registry based study using Poisson regression.

Background: Official death toll related to COVID-19 has been considerably underestimated in reports from some Latin American countries. This study aimed to analyze the mortality associated with the COVID-19 pandemic in Costa Rica between March 2020 and December 2021. Methods: A registry based study based on 2017-2021 data from the National Institute of Statistics and Census was designed (N = 128,106). Excess deaths were defined by the WHO as "the difference in the total number of deaths in a crisis compared to those expected under normal conditions"; and were estimated using a Poisson regression, and mortality and years of potential life lost (YPLL) rates were calculated. Findings: The COVID-19 pandemic represented 15% of the deaths in Costa Rica between March 2020 and December 2021. The mortality rate related to COVID-19 was 83 per 100,000 person-years. Between March and July 2020 (low-incidence period), observed number of deaths was 9%-lower than expected, whereas it was 15% and 24% higher than expected between July 2020 and March 2021 (high incidence period - no vaccination), and between March 2021 and December 2021 (high incidence period - progressive vaccination) respectively. Between July 2020 and December 2021, excess deaths observed and COVID-19 deaths reported were comparable (7461 and 7620 respectively). Nevertheless, there were more deaths than expected for conditions that predispose to COVID-19 deaths. YPLL and mortality rates increased with age, but significant excess deaths were observed in all age-groups older than 30-39 years. No large differences were noted by districts' socioeconomic characteristics although excess death rate was lower in rural compared to urban areas. Interpretation: Reporting of deaths was only slightly underestimated. In the pre-vaccination period, mortality rate and YPLL rates increased with age, being highest in people aged 60 years or older and justifying the decision to initially prioritize vaccination of older individuals. Funding: The study was supported by the University of Costa Rica and the Agencia Costarricense de Investigaciones Biomédicas - Fundación Inciensa.

An implementation of a multilayer network model for the Covid-19 pandemic: A Costa Rica study.

We present a numerical implementation for a multilayer network to model the transmission of Covid-19 or other diseases with a similar transmission mechanism. The model incorporates different contact types between individuals (household, social and sporadic networks) and includes an SEIR type model for the transmission of the virus. The algorithm described in this paper includes the main ideas of the model used to give public health authorities an additional tool for the decision-making process in Costa Rica by simulating extensive possible scenarios and projections. We include two simulations: a study of the effect of restrictions on the transmission of the virus and a Costa Rica case study that was shared with the Costa Rican health authorities.

Covid-19 y pobreza en Costa Rica / Covid-19 and poverty inCosta Rica

Introducción:La epidemiología del COVID 19, indica que los pobres son los más afectados de casos y muertes, según estudios hechos en El Salvador, España, Escocia, México, Latinoamérica y el mundo. Objetivo:Comparar el comportamiento del Covid 19 en Costa Rica y determinar su posible relación con la pobreza. Metodología:Se hicieron cuadros descriptivos de los casos de COVID 19 según quintiles de pobreza. La relación de la pobreza y los casos totales, fallecidos, activos y recuperados se estableció con los estadísticos, coeficiente decorrelación y riesgo relativo. Resultados:A diciembre 2020, hubo 166.700 casos, 2.153 fallecidos, 130.989 recuperados y 33.654 activos. El primer caso se dio en marzo 2020 y se inició una progresión mayor de casos a partir del 15 de junio de este año. Las pruebas estadísticas, riesgo relativo y coeficiente de correlación, indicaron que el total de casos y los fallecidos fueron mayores en los cantones más pobres. Conclusión:Comparando los resultados de pobreza con los casos total, fallecidos, recuperados y activos,la pobreza fue un factor determinante del total de casos y la mortalidad.Palabras Clave:COVID 19; pobreza; factores de riesgo

Introduction:The epidemiology of COVID 19 indicates that the poor are the most affected in cases and deaths, according to studies carried out in El Salvador, Spain, Scotland, Mexico, Latin America and the world. Objective:To compare the behavior of Covid 19 in Costa Rica and to determine its possible relationship with poverty. Methodology:Descriptive tables of the COVID 19 cases were made according to poverty quintiles. The relationship between poverty and total, deceased, active and recovered cases was established with the statistics, correlation coefficient and relative risk. Results:As of December 2020, there were 166,700 cases, 2,153 deaths, 130,989 recovered, and 33,654 actives. The first case occurred in March 2020 and a further progression of cases began on June 15 of this year. The statistical tests, relative risk and correlation coefficient, indicated that the total number of cases and deaths were higher in the poorest cantons. Conclusion:Comparing the poverty results with the total, deceased, recovered and active cases, poverty was a determining factor of the total cases and mortality.Key Words:COVID 19; poverty; risk factors

Trends in premature mortality from diabetes mellitus in Costa Rica in the period 2000-2020.

OBJECTIVES: To analyze the temporal trends of premature mortality from diabetes in Costa Rica in the period 2000-2020, at a national level and by province, and the effect of the COVID-19 pandemic on diabetes mortality during the year 2020. METHODS: We studied the temporal trends of mortality from diabetes in Costa Rica in the period between 2000 and 2020. Age-standardized mortality rates and corresponding 95% confidence intervals were calculated for each year, sex and province. RESULTS: We analyzed the data of 17,968 deceased persons. The mean age was 72.5 years (range 1 to 109 years), and 51.5% of the population (n = 9253) was younger than 75 years. In both men and women, we observed a significant decrease in mortality from 2000 to 2014, followed by the opposite trend from 2014 to 2020, with average yearly increases of 13.9% in men and 11.6% in women. CONCLUSIONS: Premature mortality from diabetes has been growing from 2014. The COVID-19 pandemic changed the mortality pattern, increasing premature diabetes deaths in Costa Rica in 2020.

Cuidados de salud mental durante la pandemia por COVID-19: experiencias con una persona en crisis / Mental health care during the COVID-19 pandemic: experiences with an individual in a crisis situation

INTRODUCCIÓN. La pandemia por COVID-19 ha sido un fenómeno con implicaciones biológicas, psicológicas y sociales que ha afectado a las personas en diferentes circunstancias. Por momentos, aumentando su vulnerabilidad y generando situaciones de sufrimiento, lo que provocó la implementación de servicios de salud mental específicos alrededor del mundo. En ese contexto, se presenta la relación interpersonal de Enfermería de Salud Mental guiada por el Modelo de Stuart de Adaptación al Estrés con una persona en una situación de crisis. OBJETIVO. Analizar la intervención de Enfermería de Salud Mental en caso de crisis desde el Modelo de Stuart de Adaptación al Estrés. METODOLOGÍA. El abordaje se desarrolló en modalidad virtual con una persona adulta media. Se guio por el Modelo de Stuart de Adaptación al Estrés siguiendo las etapas del Proceso de Enfermería de tercera generación y de la terapia de intervención en crisis. Se utilizó el lenguaje estandarizado NANDA-I, NOC, NIC para desarrollar el plan de intervenciones. RESULTADOS. Se implementó el plan de cuidados acorde a las necesidades de la persona obteniendo una respuesta adaptativa frente a la crisis. A la evaluación, los indicadores alcanzaron puntuaciones más altas validando la efectividad de la intervención. CONCLUSIONES. El Modelo de Stuart de Adaptación al Estrés facilita la comprensión de fenómenos de cuidado particulares en la Enfermería de Salud Mental. Su inclusión en la práctica fortalecería la función profesional con mayor validez científica.

INTRODUCTION. The COVID-19 pandemic has been a phenomenon with biological, psychological and social implications that have affected people in a variety of circumstances. At times it has increased their vulnerability and suffering, which led to the implementation of specific services around the world to address their mental health needs. In this context, we presentthe interpersonal relationship between the Mental Health nurse, guided by The Stuart Stress Adaptation Model, with an individual in a crisis situation. OBJECTIVE. Analyze a Mental Health Nursing intervention in a crisis situation based on The Stuart Stress Adaptation Model. METHODOLOGY. The approach was developed in a virtual modality with a middle-aged adult. It was guided by The Stuart Stress Adaptation Model, following the application of third generation Nursing Process and crisis intervention therapy. The standardized languages NANDA-I, NOC, NIC were used to develop the intervention plan. RESULTS. The care plan was implemented according to the person's needs, generating an adaptive response to the crisis. On evaluation, the indicators reached higher scores, validating the effectiveness of the intervention. CONCLUSIONS. The Stuart Stress Adaptation Model facilitates the understanding of specific care phenomena in Mental Health Nursing. Its inclusion in practice would strengthen professional practice with greater scientific validity.

Medical Education in Costa Rica. From Flexner to COVID-19: Integrative Answers for Old and New Challenges.

This monograph describes key aspects of medical education in a middle-income country such as Costa Rica, with an emphasis on public education. The main strengths and challenges of our curriculum are presented, as well as some recently implemented modernization measures to address the challenges described. Special attention is given to simulation training in medicine to promote systematic and integrative medical education in a problem-solving context. The SPICES model of educational strategies is used as a paradigm for curricular analysis. Finally, the impact of the COVID-19 pandemic on student, faculty, and staff acceptance of the curriculum modernization measures introduced is briefly discussed. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-023-01886-w.

COVID-19 en Costa Rica: análisis longitudinal de las tasas de contagio y de fallecimiento desde el enfoque de la desigualdad social

Introducción: este artículo aborda la relación entre las tasas brutas de contagio y las tasas netas de fallecimiento por la COVID-19 -variables de estudio-, con indicadores socioeconómicos y de la salud -variables de contraste- en cuatro momentos de observación durante el primer año de la sindemia en Costa Rica. Los objetivos del trabajo fueron a) identificar los momentos de observación a partir de la cantidad de casos acumulados por semana epidemiológica; b) establecer la correlación estadística entre las tasas brutas de contagio y las variables de contraste; c) establecer la correlación estadística entre las tasas netas de fallecimientos y las variables de contraste; d) describir el desarrollo de las tasas de contagio y fallecimiento a nivel cantonal; e) caracterizar socioeconómicamente los cantones con valores muy altos en dichas tasas. Metodología: se desarrolló un estudio con enfoque cuantitativo mediante el método estadístico y la aplicación de pruebas de hipótesis de tipo bivariado, a saber, correlaciones Pearson y Spearman. Resultados: los principales resultados indicaron que el contagio está estrechamente vinculado, mayoritariamente, con factores socioeconómicos -densidad poblacional, índice de desarrollo social (IDS), índice de desarrollo humano (IDH) y tasas de delito contra el patrimonio-, mientras que los fallecimientos se asocian a factores biológicos como las tasas de enfermedades -hipertensión y respiratorias- Conclusiones: se demuestra la relación existente entre la enfermedad y las desigualdades sociales, es decir, cómo estas últimas se reproducen en el campo de la salud.

Introduction: This article addresses the relationship between the gross rates of transmission and the net death rates from COVID-19 -study variables-, with socioeconomic and health indicators -contrast variables- at four moments of observation during the first year of the syndemic in Costa Rica. The objectives of the research work are: a) identify the moments of observation based on the number of accumulated cases per epidemiological week; b) establish the statistical correlation between the crude rates of transmission and the contrast variables; c) establish the statistical correlation between the net death rates and the contrast variables; d) describe the development of transmission and death rates at the cantonal level, and e) socioeconomically characterize the cantons with very high values in those rates. Methods: A study with a quantitative approach is developed through the statistical method and the application of hypothesis tests at a bivariate level, namely, Pearson and Spearman correlations. Results: The main results indicate that transmission is closely related, mostly, to socioeconomic factors -population density; Social Development Index (IDS); Human Development Index (HDI) and crime rates against property-, while deaths they are related to biological factors such as the rates of diseases -hypertension and respiratory-. Conclusion: The study demonstrates the relationship between disease and social inequalities, that is, how social inequality is reproduced in the field of health.

First Pediatric Case of Autoimmune Encephalitis Associated With COVID-19 in Costa Rica.

Very few COVID-19-associated autoimmune encephalitis cases have been documented in children. This case report focuses on a previously healthy four-year-old girl who presented to the emergency room of the National Children's Hospital in Costa Rica in a postictal state due to a tonic-clonic seizure that progressed to status epilepticus. She had no previous history of fever or associated trauma. She was considered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive by epidemiological linkage four weeks prior to the event, and her immunoglobulin G (IgG) levels for SARS-CoV-2 were positive. She presented with generalized decrease in muscle strength, she couldn't even walk, also dyskinetic movements in upper extremities, language impairment, frequent seizures, retrograde amnesia, and orolingual dyskinesias. An extensive diagnostic workup was performed, including bacterial and viral panel in cerebrospinal fluid, however the only positive result was the IgG for SARS-CoV-2. Electroencephalogram (EEG) and magnetic resonance imaging (MRI) findings were compatible with autoimmune encephalitis.  An antibody panel was performed, which was negative in cerebrospinal fluid and positive for anti-gamma-aminobutyric acid (GABA)/b1 in serum. She received three antiseizure drugs, plasmapheresis, intravenous gamma-globulin, methylprednisolone, and rituximab, which partially improved her condition. She currently has refractory epilepsy, memory problems, loss of language skills, and neuropsychiatric dysfunction. To our knowledge, this is the first case of autoimmune encephalitis secondary to SARS-COV-2 infection in a pediatric patient in Costa Rica.

Pineapple Agro-Industrial Biomass to Produce Biomedical Applications in a Circular Economy Context in Costa Rica.

Pineapple is a highly demanded fruit in international markets due to its unique appearance and flavor, high fiber content, vitamins, folic acid, and minerals. It makes pineapple production and processing a significant source of income for producing countries, such as Costa Rica. This review collects bibliographic information dating back to the beginnings of pineapple production in Costa Rica to the state of the market today. It details the impacts of its production chain and proposes a biorefinery as a solution to environmental problems. Besides the potentiality of new sustainable markets to contribute to the post-COVID-19 economy in Costa Rica is highlighted. The general characteristics of pineapple by-products -cellulose, hemicellulose, lignin, and other high-value products like bromelain y saponin- are described, as well as the primary processes for their ex-traction via biorefinery and main applications in the medical field. Finally, a brief description of the main works in the literature involving modeling and simulation studies of pineapple by-products properties is included.

Estimating vaccine effectiveness against SARS-CoV-2 infection, hospitalization and death from ecologic data in Costa Rica.

BACKGROUND: Clinical trials and individual-level observational data in Israel demonstrated approximately 95% effectiveness of mRNA-based vaccines against symptomatic SARS-CoV-2 infection. Individual-level data are not available in many countries, particularly low- and middle- income countries. Using a novel Poisson regression model, we analyzed ecologic data in Costa Rica to estimate vaccine effectiveness and assess the usefulness of this approach. METHODS: We used national data from December 1, 2020 to May 13, 2021 to ascertain incidence, hospitalizations and deaths within ecologic units defined by 14 age groups, gender, 105 geographic areas, and day of the epidemic. Within each unit we used the proportions of the population with one and with two vaccinations, primarily tozinameran. Using a non-standard Poisson regression model that included an ecologic-unit-specific rate factor to describe rates without vaccination and a factor that depended on vaccine effectiveness parameters and proportions vaccinated, we estimated vaccine effectiveness. RESULTS: In 3.621 million persons aged 20 or older, there were 125,031 incident cases, 7716 hospitalizations, and 1929 deaths following SARS-CoV-2 diagnosis; 73% of those aged ≥ 75 years received two doses. For one dose, estimated effectiveness was 59% (95% confidence interval 53% to 64%) for SARS-CoV-2 incidence, 76% (68% to 85%) for hospitalizations, and 63% (47% to 80%) for deaths. For two doses, the respective estimates of effectiveness were 93% (90% to 96%), 100% (97% to 100%), and 100% (97% to 100%). CONCLUSIONS: These effectiveness estimates agree well with findings from clinical trials and individual-level observational studies and indicate high effectiveness in the general population of Costa Rica. This novel statistical approach is promising for countries where ecologic, but not individual-level, data are available. The method could also be adapted to monitor vaccine effectiveness over calendar time.