Classroom Films on Latin America: A Review of the Present Situation with Some Suggestions for the Future

1973 ◽  
Vol 7 (1) ◽  
pp. 89 ◽  
Author(s):  
Jane M. Loy
2021 ◽  
pp. 89-99
Author(s):  
Adriana Peluffo

In this work we take a look at a small southern country in Latin America: Uruguay, located between two large neighbors: Argentina and Brazil. In the paper some socio-economic features and historical facts about Uruguay were presented. Historically, the agricultural sector and export specialisation have been quite important for the country’s economic growth. Recently, services have become important too. The second part of the paper is entirely dedicated to the present situation, namely from March 2019, in which it was described how the COVID-19 pandemic has been dealt with in terms of the health and economic measures. Finally, some questions about the future of the pandemic and the country’s economy were posed.


2017 ◽  
pp. 5-21 ◽  
Author(s):  
E. Yasin

The article is devoted to major events in the history of the post-Soviet economy, their influence on forming and development of modern Russia. The author considers stages of restructuring, market reforms, transformational crisis, and recovery growth (1999-2011), as well as a current period which started in2011 and is experiencing serious problems. The present situation is analyzed, four possible scenarios are put forward for Russia: “inertia”, “mobilization”, “decisive leap”, “gradual democratic development”. More than 30 experts were questioned in the process of working out the scenarios.


Food Chain ◽  
2014 ◽  
Vol 4 (2) ◽  
pp. 140-159
Author(s):  
Arantxa Guereña ◽  
Stephanie Burgos
Keyword(s):  

1945 ◽  
Vol 53 (4) ◽  
pp. 371-372
Author(s):  
Virgil Salera
Keyword(s):  

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i1-i6
Author(s):  
Y Xiang ◽  
K Chan ◽  
I Rudan

Abstract Background and Objectives Rapid increase in life expectancy has resulted in an increase in the global burden of dementia that is expected to become a leading cause of morbidity in the future. Low- and middle-income countries are expected to bear an increasing majority of the burden, but lack data for accurate burden estimates that are key for informing policy and planning. Bayesian methods have recently gained recognition over traditional frequentist approaches for modelling disease burden for their superiority in dealing with severely limited data. This study provides updated estimates of dementia prevalence in Latin America and the Caribbean (LAC) for the years 2015, 2020 and 2030. Given the paucity of data, estimates were developed using a Bayesian methodology and confirmed by the traditional frequentist approach, with the aim of providing methodological insights for future disease burden estimates. Methods A comprehensive systematic literature search was conducted to identify all relevant primary studies published between the years 2010–2018. The quality of the included studies was critically assessed. A random-effects model (REM) and a Bayesian normal-normal hierarchical model (NNHM) were used to obtain the pooled prevalence estimate of dementia for people aged 60 and above. The latter model was also developed to estimate age-specific dementia prevalence. Using UN population estimates, total and age-specific projections of the burden of dementia were calculated. Results The prevalence of dementia in LAC was found to be 14% (10–21%) in those above age 60 based on REM, and 8% (5–11.5%) based on NNHM. The prevalence increased from 2% (1–4%) in people aged 60–69 to 29% (20–37%) in people above the age of 80. The number of people living with dementia in LAC in 2015 was estimated at 5.68 million, with future projections of 6.86 million in 2020 and 9.94 million in 2030. Conclusions The findings of this review found that burden of dementia in LAC is substantial and continues to rapidly grow. The projected rise in dementia cases in the future should prompt urgent governmental response to address this growing public health issue. We were also able to demonstrate that given the overall paucity of data, a Bayesian approach was superior for estimating disease prevalence and burden.


1977 ◽  
Vol 71 (3) ◽  
pp. 1261
Author(s):  
Robert D. Tomasek ◽  
Frank Tannenbaum
Keyword(s):  

1942 ◽  
Vol 32 (126) ◽  
pp. 242-254
Keyword(s):  

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