scholarly journals Social capital, social movements and global public health: Fighting for health-enabling contexts in marginalised settings

2020 ◽  
Vol 257 ◽  
pp. 112153 ◽  
Author(s):  
Catherine Campbell
CEPAL Review ◽  
2009 ◽  
Vol 2009 (99) ◽  
pp. 149-171
Author(s):  
Raúl Cortés Landázury ◽  
Mónica María Sinisterra Rodríguez

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 469-471 ◽  
Author(s):  
Bhagyashri Vijay Chaudhari ◽  
Priya P. Chawle

“A lesson learned the hard way is a lesson learned for a lifetime.” Every bad situation hurts; however, it sure does teach us something a lesson. In the same manner of a new lesson for Human lifetime, history is observing 'The Novel COVID-19 ’, a very horrible and strange situation created due to fighting with a microscopic enemy. WHO on 11 February 2020 has announced a name for new disease as - 19 and has declared as a global public health emergency and subsequently as pandemic because of its widespread. This began as an outbreak in December 2019, with its in Wuhan, the People Republic of China has emerged as a public health emergency of international concern. is the group of a virus with non-segmented, single-stranded and positive RNA genome. This bad situation of pandemic creates new scenes in the life of people in a different manner, which will be going to be life lessons for them. Such lessons should be kept in mind for the safety of living beings and many more things. In this narrative review article, reference was taken from a different article published in various databases which include the view of different authors and writers on the "Lessons to be from Corona".


Oikos ◽  
2015 ◽  
Vol 15 (31) ◽  
pp. 153
Author(s):  
Marcelo Yáñez Pérez

RESUMENEl artículo muestra los principales resultados de la investigación Percepción de la Población Pobre de Santiago sobre el Mercado Laboral en Chile, realizada durante 9 años consecutivos desde 2003, por la Escuela de Administración y Economía de la Universidad Católica Silva Henríquez. El estudio incluye antecedentes sobre las concepciones de empleo y desempleo de este grupo de la población, así como la identificación de quienes –a su juicio– serían los responsables de que las personas pobres obtengan un trabajo y la calificación que le asignan a su gestión. También contempla sus percepciones en torno al apoyo del Estado, nivel de desempleo, influencia del capital social, respeto por los trabajadores, igualdad de oportunidades, poder de los sindicatos, entre otros aspectos, además del nivel de desempleo familiar y tipo de problemas laborales que han enfrentado.Palabras clave: mercado laboral, pobreza, percepciones, equidad.Este estudio ha sido realizado en el contexto de la investigación “Percepción de la población pobre de Santiago sobre las condiciones de acceso, equidad y satisfacción en la obtención de bienes básicos y públicos – año 2011: visión evolutiva desde el año 2003”, que es parte del Programa de Investigación de la Escuela de Administración y Economía de la UCSH. Esta investigación ha sido financiada desde sus inicios y en su totalidad con fondos propios de esta Universidad.Perception of the Poor Population from Santiago of The Labor Market in Chile in the year 2011 and evolution from 2003ABSTRACTThe paper shows the main results of a long-term investigation on the perceptions of the poor of Santiago of the labor market in Chile, which began in 2003 and was carried out by the School of Management and Economics at the Universidad Católica Silva Henríquez. The study includes background on the concepts of employment and unemployment in this group of the population, and the identification of those who, in his opinion, would be responsible for the poor to get a job and the rating assigned to their management. It also includes their perceptions of the support of the state, unemployment, social capital influence, respect for workers, equal opportunities, union power, among other things, besides the level of unemployment and type of family labor problems they have faced.Keywords: labor market, poverty, perceptions, equity.


2020 ◽  
Author(s):  
Helmi Zakariah ◽  
Fadzilah bt Kamaluddin ◽  
Choo-Yee Ting ◽  
Hui-Jia Yee ◽  
Shereen Allaham ◽  
...  

UNSTRUCTURED The current outbreak of coronavirus disease 2019 (COVID-19) caused by the novel coronavirus named SARS-CoV-2 has been a major global public health problem threatening many countries and territories. Mathematical modelling is one of the non-pharmaceutical public health measures that plays a crucial role for mitigating the risk and impact of the pandemic. A group of researchers and epidemiologists have developed a machine learning-powered inherent risk of contagion (IRC) analytical framework to georeference the COVID-19 with an operational platform to plan response & execute mitigation activities. This framework dataset provides a coherent picture to track and predict the COVID-19 epidemic post lockdown by piecing together preliminary data on publicly available health statistic metrics alongside the area of reported cases, drivers, vulnerable population, and number of premises that are suspected to become a transmission area between drivers and vulnerable population. The main aim of this new analytical framework is to measure the IRC and provide georeferenced data to protect the health system, aid contact tracing, and prioritise the vulnerable.


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