Search

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.

This paper presents a compilation of personal reflections from 66 contributors on the impact of, and responses to, COVID-19 in accounting education in 45 different countries around the world. It reveals a commonality of issues, and a variability in responses, many positive outcomes, including the creation of opportunities to realign learning and teaching strategies away from the comfort of traditional formats, but many more that are negative, primarily relating to the impact on faculty and student health and well-being, and the accompanying stress. It identifies issues that need to be addressed in the recovery and redesign stages of the management of this crisis, and it sets a new research agenda for studies in accounting education.

Background: Ioannidis et al. (2020) reported a standardized estimate of scientific productivity obtained from a worldwide database of 6,880,389 scientists who published at least 5 papers picked up by the Scopus database, and elaborated a ranking of ca. 120,000 scientists by both whole trajectory (career-long) impact and their current impact at year 2019. The goal of our paper is to contextualize Latin American ecologists' contribution at the world level based on the four most scientifically productive countries in the region. Methods and findings: Ioannidis et al. (2020) proposed a composite index that is the sum of six scientometric indicators: (1) The number of allocites, (2) the h index, (3) a per capita corrected version of h, (4) the allocites received as single author, (5) those received as single + first author, and (6) those as single + first + last author. We selected data for ecologists from Argentina, Brazil, Chile, and Mexico and comparatively analyzed their productivity according to the proposed index. We also compared these data with those obtained from a global sample of the top ecologists worldwide. Conclusions: Based on Ioannidis et al.'s proposition to evaluate scientific productivity we extract three lessons: (1) It does not pay to publish many papers; what counts is the number of allocites (i.e., self-citations do not add up). (2) Either be single, first, or last author; it does not pay to be in the middle of an authorship line. (3) Even worse it is to be among many co-authors because the proposed index allocates credits on a per capita basis. [ABSTRACT FROM AUTHOR]

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.

The purpose of this paper is to identify and analyze how prison systems in Argentina, Chile, Colombia, and Mexico respond to the coronavirus disease (COVID-19). It explores the challenges these institutions face, the actions taken, the beneficiaries from such measures, and their immediate effect. We argue that governments and prison authorities struggle to put in place comprehensive measures to prevent and control the spread of COVID-19 within these institutions and that more concrete and swift actions are needed to address the magnitude and the consequences of the pandemic. This paper uses both primary and secondary data to describe the current prison situation and analyze institutional responses to the COVID-19 pandemic in these countries. [ABSTRACT FROM AUTHOR]

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.

The study aimed to assess the association between adherence to COVID-19 preventive measures and access to media information related to COVID-19. A multicountry, cross-sectional study using an online survey was conducted from June to December 2020. The sample included 1,457 participants from Argentina, Brazil, Chile, and Mexico. The outcome variable was self-reported adherence to preventive measures (handwashing, social distancing, self-isolation, use of face masks, and working from home). The explanatory variable was self-report of following media information related to COVID-19 (watching or reading the news, following social media coverage). Multivariable logistic regression analyses were conducted to determine the associations. Following information on social media was positively associated with higher odds of practicing social distancing [adjusted odds ratio (AOR) = 5.39; 95% confidence interval (CI): 3.93–7.30], self-isolation (AOR = 1.44; 95% CI: 1.08–1.92), use of face masks (AOR = 16.84; 95% CI: 10.03–28.27), handwashing (AOR = 6.95; 95% CI: 4.98–9.71), and working from home (AOR = 1.85; 95% CI: 1.43–2.41). Differences in the use of social media for COVID-19 information were observed among the four countries. Following social media was positively associated with adherence to COVID-19 preventive measures in Latin America. Social media may be used effectively for COVID-19 behavior modification in Latin America. [ABSTRACT FROM AUTHOR]

This study aimed at describing the impact that the COVID 19 pandemic had on the financial and consumption habits of Chilean, Argentinean and Colombian families. This was a cross-sectional on-line study. The final sample consisted of 1,184 adults who managed independent financial resources and from urban areas of Argentina, Chile, and Colombia. Results show an increased use of credit to pay for basic services and on the late payments of expenses. The current main fears are linked to contracting the disease, losing employment and not being able to pay basic expenses. Finally, groups of participants emerge based on based on ways of dealing with the crisis and differentiated by sociodemographic variables. [ABSTRACT FROM AUTHOR]

The incidence of COVID-19 has systematically decreased households' use of cash as means of payment as well as the average size and frequency of cash withdrawals. We argue that the structure of Baumol–Tobin type inventory theoretical models and their extensions can be used to separate the confounding factors, such as the desired level of consumption and the choice of the fraction of consumption paid in cash, from the cash management behavior, i.e. the size and frequency of cash withdrawals. Using this insight we argue that the observed cash management is consistent with COVID-19 increasing the fixed cost of withdrawing cash. We use detailed data on ATM cash disbursements in Argentina, Chile, and the US to estimate how much the pandemic has changed the transaction cost of using cash. This estimation shows that if the intensity of the virus doubles in a county, cash transaction cost increases by approximately 2%. The results from Argentina, Chile, and the US are remarkably similar and robust to several forms of measurement error and endogeneity. [ABSTRACT FROM AUTHOR]

Background: Disabled people are particularly exposed to the risks of COVID-19, as well as to the measures taken to address it, and their impact. The aim of the study was to examine the disability-inclusiveness of government responses to COVID-19 in four South American Countries: Argentina, Brazil, Chile, and Peru. Methods: We conducted documentary research, using framework analysis to analyse reports, legislation, decrees, and other official documents that communicated measures taken in response to the pandemic, published from February 1st until May 22nd, 2020. We included documents reporting measures that affected disabled people either directly (measures specifically designed for disabled people) or indirectly (measures for the general population). We developed an analytical framework based on recommendations for disability-inclusive response to COVID-19 published by the Economic Commission for Latin America and the Carribean, the World Health Organisation, and other international organisations. Results: We analysed 72 documents. The findings highlight that while some positive measures were taken, the needs of disabled people were not fully considered. Several countries published recommendations for a disability-inclusive response to COVID-19, without ensuring their translation to practice. All countries took at least some steps to ensure access to financial support, health, and education for disabled people, but at the same time they also implemented policies that had a detrimental impact on disabled people. The populations that are most exposed to the impacts of COVID-19, including disabled people living in institutional care, were protected in several cases only by recommendations rather by legislation. Conclusions: This study illustrates how the official government responses taken by four countries in the region – while positive, in several aspects – do not fully address the needs of disabled people, thus further disadvantaging them. In order to ensure response to COVID − 19 is disability inclusive, it is necessary to translate recommendations to practice, consider disabled people both in mainstream policy and in disability-specific measures, and focus on the long-term reconstruction phase. [ABSTRACT FROM AUTHOR]