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Item type:Publication, Water justice and Europe’s Right2Water movement(Taylor & Francis, 2021-05-06)In 2013 the European Citizens’ Initiative (ECI) ‘Right2Water’ collected 1.9 million signatures across Europe against water privatization. It became the first ever successful ECI and has built a Europe-wide movement. Right2Water sought for Europe’s legal enforcement of the Human Right to Water and Sanitation (HRWS) as a strategic political tool to challenge European Union market policies. The paper examines the ECI from a social movement perspective. Although the European Commission subscribed that ‘water is a public good, not a commodity’, its implementation is subject to continuing politics and socio-political struggle, with growing urgency in times of the Covid-19 pandemic crisis. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards a typology of social protection for migrants and refugees in Latin America during the COVID-19 pandemic(Springer Science and Business Media Deutschland GmbH, 2021-12-01)The COVID-19 health crisis has put to the test Latin America’s already precarious social protection systems. This paper comparatively examines what type of social protection has been provided, by whom, and to what extent migrant and refugee populations have been included in these programmes in seven countries of the region during the COVID-19 pandemic, between March and December 2020. We develop a typology of models of social protection highlighting the assemblages of actors, different modes of protection and the emerging migrants’ subjectification in Brazil, Chile, Colombia, Ecuador, Mexico, Peru, and Uruguay in relation to Non-Contributory Social Transfer (NCST) programmes and other actions undertaken by state and non-state actors. The analysis is based on 85 semi-structured interviews with representatives of national and local governments, International Organisations, Civil Society Organisations, and migrant-led organisations across 16 cities, and a systematic review of regulatory frameworks in the country-case studies. The proposed typology shows broad heterogeneity and complexity regarding different degrees of inclusion of migrant and refugee populations, particularly in pre-existing and new NCST programmes. These actions are furthering notions of migrant protection that are contingent and crisis-driven, imposing temporal limitations that often selectively exclude migrants based on legal status. It also brings to the fore the path-dependent nature of policies and practices of exclusion/inclusion in the region, which impact on migrants’ effective access to social and economic rights, while shaping the broader dynamics of migration governance in the region. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimization model applied to the distribution of COVID-19 vaccines in Lima and Callao(Springer, 2022-01-01)Currently, Peru has started a vaccination plan to face the crisis generated by Covid-19; however, it has not been the most efficient. The current study seeks to reduce vaccine distribution times and costs in Lima and Callao by applying a mathematical optimization model. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evaluation of COVID restrictions in airport flight management using discrete event simulation(Springer, 2022-01-01)The present work uses discrete event simulation to incorporate COVID restrictions into passenger flow service in an international airport. It includes modifications in gate assignment processes, passenger transportation and operations handling during restricted time intervals to the covid pandemic. The impact of this modifications in service indicators such as process time and level of satisfaction (LoS) are presented and discussed focusing on the update of the bus fleet and the gate allocation results. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Use of machine learning to predict the occurrence of deaths in the departments most affected by COVID-19 in Peru(Seventh Sense Research Group, 2022-03-01)This article shows the use of machine learning to predict the occurrence of deaths in the areas most affected by covid-19 in Peru, where the records of deaths during the pandemic are found reflecting the damage caused by this pandemic, according to a MINSA report in a standard format for analysis that contains all the detailed information of each person. The machine learning procedure is a method of data analysis that automates the construction of analytical models in which we will apply the decision tree where we will use the Python programming language to make the predictions of the deaths caused by covid-19 in the departments, and it will also help us to train the model for greater accuracy in obtaining expected results. In such a way, it can elaborate scenario predictions or initiate operations that are the solution for a specific task. As a case study, it was carried out in the 25 departments of Peru to analyze the departments with the highest mortality rates in our country. As a result of the study were that the departments of Lima, Piura, Huánuco, Ica have the highest rate of deaths by covid-19; this may be due to the biosecurity measures and social distancing; it is worth mentioning that to date they are the departments that have had more policy interventions in recent years. The results of this study may help the authorities to create prevention and sanitary control strategies by implementing rigorous measures in Peru. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analyze the spread of coronavirus in the world to predict new cases under machine learning techniques(Seventh Sense Research Group, 2022-07-01)Coronavirus is a worldwide pandemic disease. At the same time, it is making unexpected changes in different countries of the World, with new variants in each region due to their autonomous climates. That is why the coronavirus is mutating, and there is a massive contagion that causes death. Consequently, it is necessary to analyze and identify where the new cases occurred and where is the possible area of attack of the new variant of covid 19. It is also necessary to know the characteristics and the stage of infection of patients with covid 19. This research method is based on a branch of artificial intelligence, machine learning; the idea is to use artificial intelligence techniques to analyze and predict new coronavirus cases, using classification models, decision trees, and the Bernoulli model. The case study was used to input a real-time database with a systematic record of covid-19 from 2020 to the present. Accordingly, the data and properties for implementing the model and training were defined to make the corresponding predictions of new cases of covid 19. Finally, as a final result, predictions of the number of new cases and total deaths of covid 19 in the World were made. Finally, this research aims to analyze the data on the spread of Covid-19 in the World to predict new cases and help society prevent new variants of Covid 19 by using artificial intelligence to provide various related solutions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Factors related to quinoa consumption in Peru during the COVID-19 pandemic(Universidad Nacional de Colombia::will be referenced::ROR-ID, 2022-09-30)Quinoa is a traditional food grain that originated in the Peruvian Andean region. The United Nations declared 2013 to be the International Year of Quinoa (iyq). This official launch had a great impact around the world. On the contrary, it had minor impact on the consumption of quinoa in Peru, which remained relatively steady in the following years. However, the covid-19 pandemic raised concerns about nutrition and health among consumers. Therefore, this study seeks to analyze quinoa consumption in Peru during the covid-19 pandemic. Primary data were collected between September 2020 and August 2021 in Lima Metropolitan Area, Peru. Exploratory factor analysis with varimax rotation was performed for data analysis, and logistic binomial analysis was then conducted to consolidate the hypothesis of this study. The main outcomes identified were that (i) current quinoa consumers in Peru ate this food even before the iyq; (ii) consumers who are concerned about their health and nutrition needs increased quinoa consumption during the pandemic; (iii) women showed a higher probability of daily to weekly trend in quinoa consumption; and (iv) people with the highest income have more probability of purchasing food at supermarkets than others with less income. The findings of this study can shed some light on consumers’ expectations and perceptions regarding quinoa consumption behavior during covid-19. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Business groups and herding behavior during the COVID-19 pandemic(Faculty of Social Sciences, 2022-01-01)This article studies whether herding behavior is present in stock returns of business groups during the COVID-19 pandemic in Latin American Integrated Market (MILA), composed by Chile, Colombia, Mexico, and Peru. Using the series of daily prices and daily traded volumes of the shares of the companies affiliated with a business group and that are included in the stock market indices S&P/IPSA (Chile), COLCAP (Colombia), IPC (Mexico) and S&P/BVL (Peru), from January 1, 2010 to October 27, 2021, with the exception of Mexico, we observe herding behavior during COVID-19 in businesses affiliated with business groups in MILA. In addition, from May 2020 onwards, stock behavior shifts to reverse herding. This study also reports that when the market is up herding is stronger during COVID-19. Something similar occurs for low market volatility and low volume of trading. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, To What Extent Does Virtual Learning Promote the Implementation of Responsible Management Education? A Study of Management Educators(Elsevier Ltd, 2023-07-01)This paper aims to explore the extent to which virtual learning fosters the implementation of responsible management education (RME) in public business schools in Egypt. We conducted semi-structured interviews with 27 management educators working at three public business schools in Egypt. Thematic analysis was undertaken on the collected data resulting in four major themes. The findings reveal that management educators perceive difficulty in implementing responsible management education in the context of virtual learning due to the following four factors: employing a student-centred learning approach, inability to use collaborative teaching pedagogies in virtual learning, lack of academic freedom, and poor info-structure characterising the Egyptian context. The present study is the pioneering works to empirically investigate the relationship between the shift towards virtual learning and the implementation of responsible management education, particularly in non-Western contexts. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Ethics of Online Data Collection: Reflections on Key Informant Interviews Researching the Impacts of COVID-19 on Migrants in Latin America(2023-03-22)While most borders in Latin America were closed during the COVID-19 pandemic, the dynamics of mobility and immobility in the region did not stop. In this extreme context, there was a growing need to understand how the pandemic impacted migrant and refugee populations, as well as the long-lasting effects of measures implemented to mitigate its effects. With many migrants facing exacerbated conditions of vulnerability and with new working modalities affecting all members of society, especially those who were key respondents to protect migrants in the first year of the pandemic, key ethical questions emerged about how, when and where, should research be conducted. This paper reflects on the ethical challenges we faced – such as interviewees' research fatigue, negotiation of access, researcher’s positionality and the strategies to create rapport – and the methodological decisions we made in the context of a regional project that conducted online interviews with governmental and non-governmental actors working with migrants between June and August 2020.