Search

This paper reports an exploratory sequential mixed-methods and action research study of the Content and Language Integrated Learning (CLIL) methodology at a state institution in Florencia (Colombia). The study aimed to explore the implementation of CLIL in a virtual learning environment and its implications for English as a Foreign Language (EFL) learning during the health emergency caused by COVID-19. The data collection instruments were a single interview, observations, reflective journals, classroom artefacts, and a questionnaire. The findings reveal that the CLIL methodology contributes to English learning. Thus, the results show the significant role of keywords and content vocabulary, contextualized lessons, assignments, and virtual games in fostering the students' listening skills, oral production, motivation, critical thinking, and development of cultural awareness. Hence, the outcomes demonstrate that the integration of virtual tools benefits the CLIL methodology in the virtual learning environment. Finally, the paper contains evidence supporting the implementation of CLIL, the contributions to EFL learning, and suggestions for further studies.

The purpose of this paper is to discuss the digital knowledge emerged in the context of the information society and that has introduced new cultural profiles in young people, called digital natives by the academic literature. It is approached according to hermeneutic theoretical and methodological principles where, through the analysis and reflection of different research experiences, it was possible to unveil these digital knowledges in the teacher training processes to respond to the learning styles of contemporary student profiles. The study allows to conclude that there is a great opportunity for the construction of contemporary cultural profiles, both of university teachers and students, as well as of the university community itself, with an impact on the educational processes when making decisions, in their training from the appropriation of a culture and the good use of information and communication technologies and experiences that have left the pandemic by the COVID-19. This adaptation and innovation have allowed to create and recreate family, academic and work life, looking for alternatives of constant change and where this stage of emergency has been an opportunity for growth in knowledge in science and technology, together with public policies as part of the training processes.

This paper reports a collaborative autoethnography on a first teaching practicum at Universidad Surcolombiana. The study aimed at how we, as novice researchers and preservice English as a foreign language teachers, make sense of our teaching experiences in our first teaching practicum using collaborative autoethnography as a research method. The data were collected by reflective journals and ethnographic observations. Results show the meaning that we give to our experiences, before and during the covid-19 pandemic, by recognizing and analyzing our sociocultural context. Additionally, we were immersed in a virtual learning environment where we had the opportunity to confront unforeseen changes imposed by the pandemic, familiarize ourselves with possible issues that teachers grapple with, and imagine new ways to be ourselves.

The COVID-19 pandemic generated a new scenario in education, where technological resources mediate teaching and learning processes. This paper presents the development of a virtual teacher training experience aimed at promoting inferential reasoning in practicing and prospective mathematics teachers using inference problems on the Chi-square statistic. The objective of this article is to assess the implemented or intended institutional meanings and the degree of availability and adequacy of the material and temporal resources necessary for the development of the training experience. For this purpose, we use theoretical and methodological notions introduced by the Ontosemiotic Approach to Mathematical Knowledge and Instruction (OSA), among which are the notions of practice and suitability criteria. The participants of this experience were divided into three groups; one of them was comprised of practicing teachers and the other two of prospective teachers. The intervention used different virtual modalities that enabled the development of the participants' inferential reasoning in a similar way.

The globally mobile reality of today's world has made the field of intercultural communication increasingly relevant as people more often find themselves in intercultural situations. As a result, language teachers must be more prepared to work in intercultural contexts, and to teach their own students how to communicate across differences in intercultural situations both physically and virtually. The present paper examines this special issue's topic of physical and virtual mobility and intercultural competence through the lens of teacher education. Using narrative inquiry, two teacher educators in very different geographic and socio-economic contexts (US and Colombia) explore their own attempts at developing intercultural communication in teacher learners through a WhatsApp pen pal exchange project in their intercultural communication classes before and during the COVID-19 pandemic. Findings reveal different ways in which virtual mobility and other affordances of WhatsApp can be harnessed to achieve various aims of intercultural education, but also how activities such as the pen pal exchange can be improved in order to align more with current theories of intercultural communication.

This paper investigates pre-service English teachers' perceptions on their online teaching practice during pandemic times, focusing on issues related to technology, materials development and gamification. Accordingly, a qualitative narrative research approach was implemented to deeply inquiry pre-service English teachers through interviews and artifacts. It is concluded that even though pre-service English teachers had to face different concerns related to their online teaching practice, such as students' lack of commitment, low motivation and connectivity issues because of the pandemic, still they were capable of understanding and reflecting upon their role as teachers and used technology and gamified activities to overcome their concerns.

Over the course of the COVID-19 pandemic, education systems have grappled with the complexity of protecting the wellbeing of learners and educators, along with ensuring learners' continued engagement with learning. This has led to an increasing number of calls to strengthen education-sector resilience to future shocks and stressors, particularly for the most marginalized, in order to maintain momentum toward achieving Sustainable Development Goal 4. Resilience has been and continues to be a key focal point for the US Agency for International Development (USAID), both across the agency and within its education portfolio. In this paper, we reflect on case study research in five contexts--Colombia, Georgia, Lebanon, Nigeria, and Zambia--during the COVID-19 pandemic and apply it to USAID's resilience framework for education. We identify practices and structures used in each context that were either operationalized or could be leveraged further to absorb, adapt, and ultimately transform these education systems when facing a pandemic and other types of stressors and shocks.

Objetives: The adoption of vaccines was a crucial factor in overcoming the COVID-19 pandemic. However, vaccination rates between rural and urban areas varied greatly. In this paper, our objective is to understand the individual and institutional factors associated with the uptake of vaccines in remote rural areas in Colombia., Methods: We interviewed a random sample of 800 households (1,592 individuals) in remote rural areas of Antioquia (Colombia) during February 2022 when vaccinations were available. Then, we use a linear probability model to explain the uptake of the COVID-19 vaccine., Results: The results indicate that the probability of having at least the first dose of the COVID-19 vaccine is positively associated with access to information, trust in police and army, and the perceived risk of contracting COVID-19. Trust in the church is negatively related to vaccination., Conclusion: Institutions can play a critical role in the management of pandemics. Timely information on the risks associated with the disease and perceived riskiness are key factors that mobilize the population to take the COVID-19 vaccine., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2024 Cantet, Ibañez, Muñoz-Mora and Quintero.)

This paper studies the updated estimation method for estimating the transmission rate changes over time. The models for the population dynamics under SEIR epidemic models with stochastic perturbations are analysed the dynamics of the COVID-19 pandemic in Bogotá, Colombia. We performed computational experiments to interpret COVID-19 dynamics using actual data for the proposed models. We estimate the model parameters and updated their estimates for reported infected and recovered data., Competing Interests: The authors declare that they have no competing interests., (Copyright: © 2023 Ríos-Gutiérrez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objectives: To evaluate the association between Colombia's third wave when the Mu variant was predominant epidemiologically (until 75%) in Colombia and COVID-19 all-cause in-hospital mortality., Methods: In this retrospective cohort, we included hospitalized patients ≥18 years with SARS-CoV-2 infection between March 2020 to September 2021 in ten hospitals from three cities in Colombia. Description analysis, survival, and multivariate Cox regression analyses were performed to evaluate the association between the third epidemic wave and in-hospital mortality., Results: A total of 25,371 patients were included. The age-stratified time-to-mortality curves showed differences according to epidemic waves in patients ≥75 years (log-rank test p = 0.012). In the multivariate Cox analysis, the third wave was not associated with increased mortality relative to the first wave (aHR 0.95; 95%CI 0.84-1.08), but there was an interaction between age ≥75 years and the third wave finding a lower HR for mortality (aHR 0.56, 95%CI 0.36-0.86)., Conclusions: We did not find an increase in in-hospital mortality during the third epidemic wave in which the Mu variant was predominant in Colombia. The reduced hazard in mortality in patients ≥75 years hospitalized in the third wave could be explained by the high coverage of SARS-CoV-2 vaccination in this population and patients with underlying conditions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

This article analyzes the media coverage of the COVID-19 vaccine by major media outlets in five Latin American countries: Argentina, Colombia, Chile, Mexico, and Peru. For this purpose, the XLM-roBERTa model was applied and the sentiments of all tweets published between January 2020 and June 2023 (n = 24,243) by the five outlets with the greatest online reach in each country were analyzed. The results show that the sentiment in the overall media and in each nation studied was mostly negative, and only at the beginning of the pandemic was there some positivity. In recent months, negative sentiment has increased twelvefold over positive sentiment, and has also garnered many more interactions than positive sentiment. The differences by platform and country are minimal, but there are markedly negative media, some more inclined to neutrality, and only one where positive sentiment predominates. This paper questions the role of journalism in Latin America during a health crisis as serious as that of the coronavirus, in which, instead of the expected neutrality, or even a certain message of hope, the media seem to have been dragged along by the negativity promoted by certain discourses far removed from scientific evidence. [ABSTRACT FROM AUTHOR]

Copyright of Avances en PsicologÍa Latinoamericana is the property of Colegio Mayor de Nuestra Senora del Rosario and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Researchers and practitioners recognise the importance of context when implementing healthcare interventions, but the influence of wider environment is rarely mapped. This paper identifies the country and policy-related factors potentially explaining the country differences in outcomes of an intervention focused on improving detection and management of heavy alcohol use in primary care in Colombia, Mexico and Peru. Qualitative data obtained through interviews, logbooks and document analysis are used to explain quantitative data on number of alcohol screenings and screening providers in each of the countries. Existing alcohol screening standards in Mexico, and policy prioritisation of primary care and consideration of alcohol as a public health issue in Colombia and Mexico positively contributed to the outcome, while the COVID-19 pandemic had a negative impact. In Peru, the context was unsupportive due to a combination of: political instability amongst regional health authorities; lack of focus on strengthening primary care due to the expansion of community mental health centres; alcohol considered as an addiction rather than a public health issue; and the impact of COVID-19 on healthcare. We found that wider environment-related factors interacted with the intervention implemented and can help explain country differences in outcomes.

The COVID-19 pandemic is a catastrophic event that marked the history of humanity. The virus's transmissibility has primarily prevented the control of the pandemic, so it has become vital to determine and control the dynamics of the population mobility to reduce the epidemiological impact. Considering the above, this paper uses an exposure indicator based on the movement ranges provided by Facebook to determine the dynamics of population mobility in Popayán city for the period after the appearance of COVID-19. Using statistical analysis techniques, it then contrasts the data obtained with the public circulation reports provided by Google and Apple. The results suggest that the exposure indicator is reliable and presents moderate to strong linear relationships for the public data, which implies that it can be an additional resource for decision-making to curb the spread of the virus.

Copyright of Revista de Economía del Rosario is the property of Colegio Mayor de Nuestra Senora del Rosario and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Fitting Susceptible-Infected-Recovered (SIR) models to incidence data is problematic when not all infected individuals are reported. Assuming an underlying SIR model with general but known distribution for the time to recovery, this paper derives the implied differential-integral equations for observed incidence data when a fixed fraction of newly infected individuals are not observed. The parameters of the resulting system of differential equations are identifiable. Using these differential equations, we develop a stochastic model for the conditional distribution of current disease incidence given the entire past history of reported cases. We estimate the model parameters using Bayesian Markov Chain Monte-Carlo sampling of the posterior distribution. We use our model to estimate the transmission rate and fraction of asymptomatic individuals for the current Coronavirus 2019 outbreak in eight American Countries: the United States of America, Brazil, Mexico, Argentina, Chile, Colombia, Peru, and Panama, from January 2020 to May 2021. Our analysis reveals that the fraction of reported cases varies across all countries. For example, the reported incidence fraction for the United States of America varies from 0.3 to 0.6, while for Brazil it varies from 0.2 to 0.4., Competing Interests: The authors have declared that no competing interests exist.

This research paper investigates the correlation between the extent of digitalization and business recovery in microenterprises in Colombia one year after the start of the 2019 Coronavirus (COVID-19). The study involved the analysis of 1.600 surveys conducted across various sectors of microenterprises. The findings revealed that, on average, businesses that had embraced a higher degree of digitization demonstrated a more significant rebound in their sales following the constraints imposed by the pandemic. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has had a profound effect on livelihoods everywhere, but especially in the informal economy where crucial forms of protection and security are often absent. A detailed understanding of the impacts for informal workers, the public policy approaches that could most effectively respond to their needs, and the barriers to such policy, is urgently needed. This paper discusses the results of a 2021 street vendor survey in Cali, Colombia, focusing on (1) vendors' socioeconomic circumstances and (2) their political engagement and attitudes on key policy and governance issues. It argues that while the pandemic and the government responses to it negatively impacted street vendors, there are steps that government could have taken, and can still take, to address vendors' needs and priorities. To ensure a just, equitable, sustainable recovery, and to protect economically marginalized groups from future crises, informal workers must be more meaningfully included in decision-making processes. [ABSTRACT FROM AUTHOR]

Copyright of Horizons of Politics / Horyzonty Polityki is the property of Jesuit University Ignatianum in Krakow and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we group South American countries based on the number of infected cases and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Peru, Paraguay, Uruguay, and Venezuela. The data used are collected from a database of Johns Hopkins University, an institution that is dedicated to sensing and monitoring the evolution of the COVID-19 pandemic. A statistical analysis, based on principal components with modern and recent techniques, is conducted. Initially, utilizing the correlation matrix, standard components and varimax rotations are calculated. Then, by using disjoint components and functional components, the countries are grouped. An algorithm that allows us to keep the principal component analysis updated with a sensor in the data warehouse is designed. As reported in the conclusions, this grouping changes depending on the number of components considered, the type of principal component (standard, disjoint or functional) and the variable to be considered (infected cases or deaths). The results obtained are compared to the k-means technique. The COVID-19 cases and their deaths vary in the different countries due to diverse reasons, as reported in the conclusions.

By mid-September 2020, over 1.33 million confirmed COVID-19 cases and 32 thousand deaths had been reported in Africa. Global research on COVID-19 went 'viral' with a record 3487 research contributions comprising of 2062 journal papers and 1425 preprints published within the first three months following the outbreak of COVID-19. Surprisingly, the silence of the African research community has been unprecedented - contributing a paltry 0.6% (22 contributions), a figure nearly matched by Colombia (18 publications). Until now, a comprehensive perspective on the reasons for this subdued research response, and COVID-19 themes critical to Africa has been missing. We posit that while a milieu of factors accounts for this silence, unprecedented research opportunities exist to support COVID-19 decision and policy formulation in Africa. The subdued response reflects weak research systems, characterized by deep-rooted challenges, including severe lack of research expertise, funding, and infrastructure, coupled with poor working conditions. Hence, Africa's contribution to research on infectious diseases, including COVID-19, remains weak. Perceptions and attitudes among researchers and policy-makers on COVID-19, and the role of science in decision and policy-making also exist. Moreover, COVID-19 and earlier severe acute respiratory syndromes are considered as 'imported diseases' originating from outside Africa. Thus, notions may exist that the control methods will come from outside Africa through 'technology-transfer' or 'capacity-building'. Yet local COVID-19 research is needed to address knowledge gaps, including; (1) potential novel transmission of SARS-CoV-2, (2) adaption of generic COVID-19 control measures to suit African settings, (3) occurrence and persistence of SARS-CoV-2 in solid waste, wastewaters, on-site sanitation systems, and drinking water, and (4) the 'human factor' including the role of gender, perceptions, myths, attitudes, and religious beliefs in the transmission and control of COVID-19. Therefore, there is a need to: (1) strengthen local research capacity and evaluation systems, (2) consider biosafety and ethical issues, (3) initiate cross-disciplinary research and global collaboration on COVID-19, and (4) integrate science communication in COVID-19 programs., (Copyright © 2020 Elsevier Inc. All rights reserved.)

The transmission dynamics of the coronavirus-COVID-19-have challenged humankind at almost every level. Currently, research groups around the globe are trying to figure out such transmission dynamics under special conditions such as separation policies enforced by governments. Mathematical and computational models, like the compartmental model or the agent-based model, are being used for this purpose. This paper proposes an agent-based model, called INFEKTA, for simulating the transmission of infectious diseases, not only the COVID-19, under social distancing policies. INFEKTA combines the transmission dynamic of a specific disease, (according to parameters found in the literature) with demographic information (population density, age, and genre of individuals) of geopolitical regions of the real town or city under study. Agents (virtual persons) can move, according to its mobility routines and the enforced social distancing policy, on a complex network of accessible places defined over an Euclidean space representing the town or city. The transmission dynamics of the COVID-19 under different social distancing policies in Bogotá city, the capital of Colombia, is simulated using INFEKTA with one million virtual persons. A sensitivity analysis of the impact of social distancing policies indicates that it is possible to establish a 'medium' (i.e., close 40% of the places) social distancing policy to achieve a significant reduction in the disease transmission., Competing Interests: The authors have declared that no competing interests exist.

Copyright of Revista Facultad de Medicina de la Universidad Nacional de Colombia is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Colombia, like many developing nations, does not have a strong health system able to respond to a pandemic of the magnitude of Covid-19. There is an increasing need to create a model that allows particular clinics and hospitals to estimate the number of patients that require Intensive Care Units-ICU care (critical), and the number of patients that require hospital care (severe), but not ICU care, in order to manage their limited resources. This paper presents a prediction of the total number of ICU and regular beds that will be needed in Bogotá, Colombia, during the COVID-19 pandemic. We use an SEIR model that includes three different categories of infection: those who can stay at home, those who need regular hospital beds, and those who need ICU treatment. The model allows for a time varying transmission rate which we use to incorporate the measures introduced by the government over the period of one semester. The model predicts that by mid November 2020, the city will need 1362 ICU beds and more than 9000 regular hospital beds. The number of active cases will be 67,866 by then and the death toll will reach 13,268 people by the end of December. We provide a Shiny app available at https://claudia-rivera-rodriguez.shinyapps.io/shinyappcovidclinic/. The original values in the app reproduce the results of this paper, but the parameters and starting values can be changed according to the user's needs. COVID-19 has posed too many challenges to health systems around the globe. This model is a useful tool for cities, hospitals and clinics in Colombia that need to be prepared for the excess demand of services that a pandemic like this one generates. Unfortunately, the model predicts that by mid-November the projected capacity of the system in Bogotá will not be enough. We expect the lockdown rules to be strengthened in future days, so the death toll will not be as bad as predicted by this model., (Copyright © 2020 Rivera-Rodriguez and Urdinola.)

This paper aims an analysis about the impact of the technology implementation in the justice administration in Colombia from the changes introduced by the fourt industry revolution. although the use of TICs for a better development of justice isn´t a legal mandate, with the emergency derived from COVID-19, it was necessary to use different shock strategies against the possibility of physical contact in the judicial services. The main objective is to determinate the impact caused by the changes presented in the use of technology generated by the COVID-19 in Colombian justice: the application of Information and communication technologies (TICs) to the Law. In this context, it been used an analytical documentary approach by the study of juridical texts, specialized web pages and other documents that allow to go deeper in the subject. As a main conslusion, are evidente new cultural patterns and new autonomous regulations forms of human behavior, juridical traffic, wich are linked to data ownership, intimacy rigths, strategic and politic advantages that may arise from its use among other. [ABSTRACT FROM AUTHOR]

In Colombia, a developing country, higher education has a gross coverage rate of about 40% (supply concerning the entire population). However, although this value is low, ten years ago this rate barely exceeded 20%. The increase in coverage is largely due to a policy that has promoted training by cycles. This model allows education by levels with the granting of professional degrees at each stage, which allows for rapid employment. Even so, places are limited, particularly for medium and low economic levels (which concentrate the majority of the population), and access to them in public universities (those with state-funded enrolment) is very restricted. Access to education is a major concern for institutions and the state, in particular for vulnerable social groups, and has been further depressed by the security and control measures implemented to slow down the spread of the COVID-19 virus. In a short time, and with limited resources, institutions have had to adapt their models to guarantee continuity and quality in academic processes. In this context, digital platforms have come to play a fundamental role by allowing access while reducing social interaction. However, the use of these platforms implies the development of specific learning environments adapted to academic, economic, and social conditions. This paper explores the design, development, and impact of some of these learning environments in the process of technological training of students from low economic strata in the most important public university in the Colombian capital. The initial results of this study show that the distance learning model adopted as a response to social isolation does affect students' academic performance. Besides, the results also show that there are effects on the students' interaction schemes and their motivational levels towards their training process. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic has affected the population worldwide, evidencing new challenges and opportunities for several kinds of emergent and existing technologies. Social Assistive Robotics could be a potential tool to support clinical care areas, promoting physical distancing, and reducing the contagion rate. In this context, this paper presents a long-term evaluation of a social robotic platform for gait neurorehabilitation. The robot's primary roles are monitoring physiological progress and promoting social interaction with human distancing during the sessions. A clinical validation with ten patients during 15 sessions were conducted in a rehabilitation center located in Colombia. Results showed that the robot's support improves the patients' physiological progress by reducing their unhealthy spinal posture time, with positive acceptance. 65% of patients described the platform as helpful and secure. Regarding the robot's role within the therapy, the health care staff agreed (>95%) that this tool can promote physical distancing and it is highly useful to support neurorehabilitation throughout the pandemic. These outcomes suggest the benefits of this tool to be further implemented in the pandemic. [ABSTRACT FROM AUTHOR]

Copyright of Revista Facultad de Medicina de la Universidad Nacional de Colombia is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Language, Society & Communication / Llengua, Societat i Comunicació is the property of Llengua, Societat i Comunicacio and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The global COVID-19 outbreak has demanded drastic actions and policies from the governments and local authorities to stem the spread of the virus. Most of the measures involve behavioural changes from citizens to reduce their social contact to a minimum. Thus, these actions influence individual activity patterns and transport systems in different ways. This paper studies the short-term impacts on the transport system caused by the different policies adopted by the Colombian government and local authorities to contain the COVID-19 spread. Using official and secondary data concerning the seven most populated cities in Colombia, we analyse the impacts on three components of the transport system: air transport, freight transport, and urban transport. Results show that national policies and local decisions have decreased the demand for motorised trips across the cities, diminishing congestion levels, reducing transit ridership, and creating a reduction in transport externalities. The country banned air transport for passengers and only allowed air cargo for medical and necessary supplies, which will have negative consequences for the economics of the airline industry. During the first three months of the COVID-19, freight was the most resilient transport component. However, freight trips diminished around 38%, affecting mainly the supply chain of nonessential products. During the pandemic, governments need to provide subsidies to maintain the system supply to avoid crowdedness and promote active transport by allocating less-used street space to cyclists and pedestrians. In the short term, transportation service providers will face a financial crisis, deepened by the pandemic, which will require government assistance for their recovery. [ABSTRACT FROM AUTHOR]

We simulate the short- and long-term distributional consequences of COVID-19 in the four largest Latin American economies: Argentina, Brazil, Colombia, and Mexico. We show that the short-term impact on income inequality and poverty can be very significant, but that additional spending on social assistance more than offsets the effect in Brazil. The offsetting effect is significant in Argentina and Colombia and nil in Mexico, where there has been no such expansion. We find that a universal basic income that would have produced the same reduction in the poverty gap as actual policies would have cost slightly more but would have benefited the poor (the nonpoor) slightly less (more). To project the longterm consequences, we estimate the impact of the pandemic on school achievement and its intergenerational persistence. We use information on school closures, educational mitigation policies, and account for educational losses related to health shocks and parental job loss. Our findings show that in all four countries the impact is strongly asymmetric and affects particularly the high-school completion rates of children from disadvantaged families. Our simulations suggest that mitigation policies seem to have a minor impact on containing these negative effects. [ABSTRACT FROM AUTHOR]

This paper presents the results of a systematic review of the literature (SLR) on the topic Covid-19 socio-political effects worldwide and in Colombia. The objective was to verify the state of the art of scientific production related to this field of study. To achieve the proposed end, 1556 published researches were identified, 6 with emphasis on Colombia and 1550 worldwide in the period between 2017 and 2023. With the scientific mapping, the periods and volumes of articles, authors, journals, countries, organizations, thematic areas and analysis of words and citations were analyzed. The dataset was obtained with the Scopus index database and processed with the statistical programs, Excel and Rstudio with its bibliométrix package. The results show among the countries that stand out the most worldwide the United States, the United Kingdom and China, in the case of Colombia it was found that its frequency of appearance in the field of study is (9) directly or indirectly, the same as Spain (6) y Pakistan (3). Wang Y, Wang X and Flahault, were the authors with the most impact. The journals that published the most articles were the International journal of environmental research and public health, Plos one and The Lancet. [ABSTRACT FROM AUTHOR]

Copyright of Hygeia: Revista Brasileira de Geografia Médica e da Saúde is the property of Hygeia: Revista Brasileira de Geografia Medica e da Saude and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Two Homelands / Dve Domovini is the property of Scientific Research Centre of Slovenian Academy of Sciences & Arts and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: Currently, there is a worldwide health crisis due to the COVID-19 pandemic; consequently, it is necessary to find effective vaccines in order to immunize the population and prevent the transmission of the disease. Likewise, it is important to know vaccine progress and efficacy research, mainly in Latin American countries where no studies have been conducted yet to know the scientific production on COVID-19. METHODS: A retrospective and descriptive study was carried out and COVID-19 vaccine publications in Scopus-indexed journals were considered as a unit of analysis for the period between 2020 and June 2021, with authors affiliated to Latin American institutions. Results: We found 141 published Scopus-indexed COVID-19 vaccine articles with authors affiliated to Latin American institutions. Brazil has the highest scientific production with 33.33%, followed by Mexico, Colombia, Argentina and Chile. Regarding productivity by institution, 137 international institutions have participated in the Latin American COVID-19 vaccine production. The journals with the highest number of published articles are Vaccines and Vaccine. Both journals are located in Q1 of the SJR. The most frequently used descriptor was coronavirus disease 2019. CONCLUSION: The Latin American scientific production on COVID-19 vaccines included 141 published Scopus-indexed articles. Likewise, Brazil is the Latin American country with the highest scientific production. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) was considered a major public health burden worldwide. Multiple studies have shown that susceptibility to severe infections and the development of long-term symptoms is significantly influenced by viral and host factors. These findings have highlighted the potential of host genetic markers to identify high-risk individuals and develop target interventions to reduce morbimortality. Despite its importance, genetic host factors remain largely understudied in Latin-American populations. Using a case–control design and a custom next-generation sequencing (NGS) panel encompassing 81 genetic variants and 74 genes previously associated with COVID-19 severity and long-COVID, we analyzed 56 individuals with asymptomatic or mild COVID-19 and 56 severe and critical cases. In agreement with previous studies, our results support the association between several clinical variables, including male sex, obesity and common symptoms like cough and dyspnea, and severe COVID-19. Remarkably, thirteen genetic variants showed an association with COVID-19 severity. Among these variants, rs11385942 (p < 0.01; OR = 10.88; 95% CI = 1.36–86.51) located in the LZTFL1 gene, and rs35775079 (p = 0.02; OR = 8.53; 95% CI = 1.05–69.45) located in CCR3 showed the strongest associations. Various respiratory and systemic symptoms, along with the rs8178521 variant (p < 0.01; OR = 2.51; 95% CI = 1.27–4.94) in the IL10RB gene, were significantly associated with the presence of long-COVID. The results of the predictive model comparison showed that the mixed model, which incorporates genetic and non-genetic variables, outperforms clinical and genetic models. To our knowledge, this is the first study in Colombia and Latin-America proposing a predictive model for COVID-19 severity and long-COVID based on genomic analysis. Our study highlights the usefulness of genomic approaches to studying host genetic risk factors in specific populations. The methodology used allowed us to validate several genetic variants previously associated with COVID-19 severity and long-COVID. Finally, the integrated model illustrates the importance of considering genetic factors in precision medicine of infectious diseases. [ABSTRACT FROM AUTHOR]

Accurate forecasting remains a challenge, even with advanced techniques like deep learning (DL), ARIMA, and Holt–Winters (H&W), particularly for chaotic phenomena such as those observed in several areas, such as COVID-19, energy, and financial time series. Addressing this, we introduce a Forecasting Method with Filters and Residual Analysis (FMFRA), a hybrid methodology specifically applied to datasets of COVID-19 time series, which we selected for their complexity and exemplification of current forecasting challenges. FMFFRA consists of the following two approaches: FMFRA-DL, employing deep learning, and FMFRA-SSA, using singular spectrum analysis. This proposed method applies the following three phases: filtering, forecasting, and residual analysis. Initially, each time series is split into filtered and residual components. The second phase involves a simple fine-tuning for the filtered time series, while the third phase refines the forecasts and mitigates noise. FMFRA-DL is adept at forecasting complex series by distinguishing primary trends from insufficient relevant information. FMFRA-SSA is effective in data-scarce scenarios, enhancing forecasts through automated parameter search and residual analysis. Chosen for their geographical and substantial populations and chaotic dynamics, time series for Mexico, the United States, Colombia, and Brazil permitted a comparative perspective. FMFRA demonstrates its efficacy by improving the common forecasting performance measures of MAPE by 22.91%, DA by 13.19%, and RMSE by 25.24% compared to the second-best method, showcasing its potential for providing essential insights into various rapidly evolving domains. [ABSTRACT FROM AUTHOR]

Copyright of Revista Facultad de Medicina de la Universidad Nacional de Colombia is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Estudios Económicos is the property of El Colegio de Mexico AC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

By July 25, Colombia had confirmed 240 795 cases of COVID-19 and 8269 deaths (case fatality rate of 3.4%). All departments had reported cases, but 292 municipalities were apparently free of COVID-19 (26%) and 373 (33.2%) had seen limited transmission. Specific mortality rates by department ranged from 0 in Vichada to 1278 in Amazonas, which was 7.8 times the national rate (incidence rate ratio (IRR) = 7.8, 95% confidence interval 6.4–9.5). Using a conservative approach to assess the potential underestimation of cases, it was estimated that, by July 25, Colombia should have detected 1 328 175 cases instead of the actual 240 795 observed, an underestimation of 82%. Colombia detected its first coronavirus disease 2019 (COVID-19) case on March 2, 2020. From March 22 to April 25, it implemented a national lockdown that, apparently, allowed the country to keep a low incidence and mortality rate up to mid-May. Forced by the economic losses, the government then opened many commercial activities, which was followed by an increase in cases and deaths. This paper presents a critical analysis of the Colombian surveillance data in order to identify strengths and pitfalls of the control measures. A descriptive analysis of PCR-confirmed cases between March and July 25 was performed. Data were described according to the level of measurement. Incidence and mortality rates of COVID-19 were estimated by age, sex, and geographical area. Sampling rates for suspected cases were estimated by geographical area, and the potential for case underestimation was assessed using sampling differences. By July 25, Colombia (population 50 372 424) had reported 240 745 cases and 8269 deaths (case fatality rate of 3.4%). A total of 1 370 271 samples had been analyzed (27 405 samples per million people), with a positivity rate of 17%. Sampling rates per million varied by region from 2664 to 158 681 per million, and consequently the incidence and mortality rates also varied. Due to geographical variations in surveillance capacity, Colombia may have overlooked up to 82% of the actual cases. Colombia has a lower case and mortality incidence compared to other South American countries. This may be an effect of the lockdown, but may also be attributed, to some extent, to geographical differences in surveillance capacity. Indigenous populations with little health infrastructure have been hit the hardest. [ABSTRACT FROM AUTHOR]

COVID-19 caused a worldwide paralysis. An asynchronous study among executive officers was developed, using the qualitative Delphi method, during the confinement stage, by a couple of companies, one from Colombia, another from Spain. Participants were human resources and marketing managers (some of them working in both areas) of large companies, SMEs, non-profit organizations, and professional unions, located in both countries. A forecast of expected changes in interpersonal relationships was the main objective of the study; however, as participants broadened the debate, topics related to administrative functions emerged. This paper focuses in the latter. Administrative planning was the most affected function by the pandemic. Organizational arranges like telecommuting became more common, their interaction and control difficulties raise concerns among directors. Strengthening trust and communication bonds is important. Decision making process was faster during the quarantine period, it is a lesson learned by the participants. Increased empathy to the personal necessities and functionality prevalence in the performance of administrative tasks are both in the future expected by participants. [ABSTRACT FROM AUTHOR]

This paper examines the impact of COVID-19 on marginalised communities and its effects on the provision of public services. Focusing on two coal mining regions in Colombia during the pandemic crisis, and examining Indigenous and Afro-Colombian communities, we analyze the provision of public services at a local level, identifying both shortcomings and resilience. Findings show that the lack of resilient public services amplified the effects of COVID-19 and its containment measures, exacerbating existing structural inequalities within local marginalised communities. It also reinforced the control exercised by coal mining companies within local economies. However, the substantial lack of public service provision also provided space for the development and strengthening of several resilience strategies among local communities, such as solidarity networks and schemes and the revitalization of local environmental knowledge. The study identifies multiple shortcomings in how the national and local administrations handled the COVID-19 outbreak and highlights the potential of enhancing resilience in public services to support marginalised communities in times of crisis. • COVID-19 affected the delivery of public services at a national and local level in Colombia. • COVID-19 further aggravated living conditions of mining communities in the country. • Multinational companies replaced the government in delivering services to mining communities. • But the crisis gave an incentive to these communities to adopt resilient strategies themselves. • More resilient public services in Colombia are needed to help marginalised communities. [ABSTRACT FROM AUTHOR]

Background: Community members in Quibdó (Choco, Colombia) are highly vulnerable to psychosocial problems associated with the internal armed conflict, poverty, and insufficient public services, and exacerbated by the COVID-19 pandemic. A pilot study was conducted with conflict-affected adults in Quibdó to assess feasibility and outcomes of a community-based psychosocial support group intervention using three different intervention modalities: in-person, remote (conducted online), and hybrid (half of sessions in-person, half-remote). This group model integrated problem-solving and culturally based expressive activities and was facilitated by local community members with supervision by mental health professionals. Methods: This study utilized a mixed-explanatory sequential design (a quantitative phase deriving in a qualitative phase) with 39 participants and 8 staff members. Participants completed quantitative interviews before and after an eight-week group intervention. A subset of 17 participants also completed in-depth qualitative interviews and a focus group discussion was conducted with staff at post-intervention. Results: From pre- to post-intervention, participants in all modalities demonstrated improved wellbeing and reduced symptoms of generalized distress, anxiety, depression, and posttraumatic stress. Use of coping skills varied across modalities, with remote groups associated with a decrease in some forms of coping, including use of social support. In qualitative interviews and the focus group discussion, participants and staff described logistical challenges and successes, as well as facilitators of change such as problem resolution, emotional regulation and social support with variations across modalities, such that remote groups provided fewer opportunities for social support and cohesion. Conclusions: Results offer preliminary evidence that this model can address psychosocial difficulties across the three modalities, while also identifying potential risks and challenges, therefore providing useful guidance for service delivery in conflict-affected settings during the COVID-19 pandemic and other challenging contexts. Implications of this study for subsequent implementation of a Randomized Control Trial (RCT) are discussed. [ABSTRACT FROM AUTHOR]

Vaccination has proven to be one of the most effective strategies against the COVID-19 pandemic. Several studies have evaluated and confirmed its effectiveness in different populations, particularly in reducing severe outcomes such as hospitalization and death. Some studies have investigated the effectiveness of vaccination against the infection, identifying the need for booster doses. This study aimed to explore the effectiveness of the vaccination schedule on the probability of infection in a sample of Colombian patients during the fourth wave of the COVID-19 pandemic, which was associated with the emergence and predominance of the Omicron variant. A cross-sectional study was conducted on individuals who underwent RT-PCR testing for COVID-19 detection in a dedicated laboratory in Bogotá, Colombia, between 30 December 2021 and 7 February 2022. A total of 1468 subjects was included in the study, of whom 36.6% (n = 538) had a positive PCR test for COVID-19. The comparison between fully vaccinated individuals with a booster dose and those without the booster dose revealed a 28% reduction in the odds of infection (OR = 0.719 CI 0.531–0.971). Age (OR = 1.009 CI 1.001–1.018) and low economic status (OR = 1.812 CI 1.416–2.319) were associated with an increased risk of infection. These findings suggest the need for a booster vaccination in the general population to improve the prevention rates of SARS-CoV-2 infection and mitigate severe outcomes. [ABSTRACT FROM AUTHOR]

In Colombia, the first case of COVID-19 was confirmed on 6 March 2020. On 13 March 2023, Colombia registered 6,360,780 confirmed positive cases of COVID-19, representing 12.18% of the total population. The National Administrative Department of Statistics (DANE) in Colombia published in 2020 a COVID-19 vulnerability index, which estimates the vulnerability (per city block) of being infected with COVID-19. Unfortunately, DANE did not consider multiple factors that could increase the risk of COVID-19 (in addition to demographic and health), such as environmental and mobility data (found in the related literature). The proposed multidimensional index considers variables of different types (unemployment rate, gross domestic product, citizens' mobility, vaccination data, and climatological and spatial information) in which the incidence of COVID-19 is calculated and compared with the incidence of the COVID-19 vulnerability index provided by DANE. The collection, data preparation, modeling, and evaluation phases of the Cross-Industry Standard Process for Data Mining methodology (CRISP-DM) were considered for constructing the index. The multidimensional index was evaluated using multiple machine learning models to calculate the incidence of COVID-19 cases in the main cities of Colombia. The results showed that the best-performing model to predict the incidence of COVID-19 in Colombia is the Extra Trees Regressor algorithm, obtaining an R-squared of 0.829. This work is the first step toward a multidimensional analysis of COVID-19 risk factors, which has the potential to support decision making in public health programs. The results are also relevant for calculating vulnerability indexes for other viral diseases, such as dengue. [ABSTRACT FROM AUTHOR]

Adherence to the non-pharmaceutical interventions (NPIs) put in place to mitigate the spreading of infectious diseases is a multifaceted problem. Several factors, including socio-demographic and socio-economic attributes, can influence the perceived susceptibility and risk which are known to affect behavior. Furthermore, the adoption of NPIs is dependent upon the barriers, real or perceived, associated with their implementation. Here, we study the determinants of NPIs adherence during the first wave of the COVID-19 Pandemic in Colombia, Ecuador, and El Salvador. Analyses are performed at the level of municipalities and include socio-economic, socio-demographic, and epidemiological indicators. Furthermore, by leveraging a unique dataset comprising tens of millions of internet Speedtest® measurements from Ookla®, we investigate the quality of the digital infrastructure as a possible barrier to adoption. We use mobility changes provided by Meta as a proxy of adherence to NPIs and find a significant correlation between mobility drops and digital infrastructure quality. The relationship remains significant after controlling for several factors. This finding suggests that municipalities with better internet connectivity were able to afford higher mobility reductions. We also find that mobility reductions were more pronounced in larger, denser, and wealthier municipalities. [ABSTRACT FROM AUTHOR]

Health care workers (HCWs) experienced greater risk of SARS-CoV-2 infection during the COVID-19 pandemic. This study applies a cost-of-illness (COI) approach to model the economic burden associated with SARS-CoV-2 infections among HCWs in five low- and middle-income sites (Kenya, Eswatini, Colombia, KwaZulu-Natal province, and Western Cape province of South Africa) during the first year of the pandemic. We find that not only did HCWs have a higher incidence of COVID-19 than the general population, but in all sites except Colombia, viral transmission from infected HCWs to close contacts resulted in substantial secondary SARS-CoV-2 infection and death. Disruption in health services as a result of HCW illness affected maternal and child deaths dramatically. Total economic losses attributable to SARS-CoV-2 infection among HCWs as a share of total health expenditure ranged from 1.51% in Colombia to 8.38% in Western Cape province, South Africa. This economic burden to society highlights the importance of adequate infection prevention and control measures to minimize the risk of SARS-CoV-2 infection in HCWs. Health care workers were at high risk of SARS-CoV-2 infection in the early stage of the pandemic, and this had knock-on effects including secondary infections and disruptions in health service delivery. Here, the authors estimate the economic impacts of SARS-CoV-2 infections in health care workers at the society level in five low- and middle-income country settings. [ABSTRACT FROM AUTHOR]

Copyright of Retos: Nuevas Perspectivas de Educación Física, Deporte y Recreación is the property of Federacion Espanola de Asociaciones de Docentes de Educacion Fisica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: Colombia hosts 1.8 million displaced Venezuelans, the second highest number of displaced persons globally. Colombia's constitution entitles all residents, including migrants, to life-saving health care, but actual performance data are rare. This study assessed Colombia's COVID-era achievements. Methods: We compared utilization of comprehensive (primarily consultations) and safety-net (primarily hospitalization) services, COVID-19 case rates, and mortality between Colombian citizens and Venezuelans in Colombia across 60 municipalities (local governments). We employed ratios, log transformations, correlations, and regressions using national databases for population, health services, disease surveillance, and deaths. We analyzed March through November 2020 (during COVID-19) and the corresponding months in 2019 (pre-COVID-19). Results: Compared to Venezuelans, Colombians used vastly more comprehensive services than Venezuelans (608% more consultations), in part due to their 25-fold higher enrollment rates in contributory insurance. For safety-net services, however, the gap in utilization was smaller and narrowed. From 2019 to 2020, Colombians' hospitalization rate per person declined by 37% compared to Venezuelans' 24%. In 2020, Colombians had only moderately (55%) more hospitalizations per person than Venezuelans. In 2020, rates by municipality between Colombians and Venezuelans were positively correlated for consultations (r = 0.28, p = 0.04) but uncorrelated for hospitalizations (r = 0.10, p = 0.46). From 2019 to 2020, Colombians' age-adjusted mortality rate rose by 26% while Venezuelans' rate fell by 11%, strengthening Venezuelans' mortality advantage to 14.5-fold. Conclusions: The contrasting patterns between comprehensive and safety net services suggest that the complementary systems behaved independently. Venezuelans' lower 2019 mortality rate likely reflects the healthy migrant effect (selective migration) and Colombia's safety net healthcare system providing Venezuelans with reasonable access to life-saving treatment. However, in 2020, Venezuelans still faced large gaps in utilization of comprehensive services. Colombia's 2021 authorization of 10-year residence to most Venezuelans is encouraging, but additional policy changes are recommended to further integrate Venezuelans into the Colombian health care system. [ABSTRACT FROM AUTHOR]