scholarly journals The Perils of the Pandemic and India's Child Victims of Covid-19

2021 ◽  
Vol 10 (4) ◽  
pp. 148-153
Author(s):  
Suparba Sil ◽  
Ruby Dhar ◽  
Subhradip Karmakar

Aim: The following paper attempts to trace the impact of Covid-19 on the younger generation, mostly from economically underprivileged sections, by focusing on specific themes such as health, education, vulnerability to abuse, and violence. The paper tries to address how the pandemic has affected various dimensions of the lives of these younger generation-children and adolescents, alongside tracing the measures taken by the government in the fight against the virus. Methods: We curated the information based on credible data as published in leading news media, PMC published peer-reviewed materials Conclusions: The paper concludes with recommendations that a coherent government policy and the active participation of NGOs are needed to address the problem. The children's mental health needs to be dealt with utmost care at home, which will pave the way towards a better future for the younger generation during and after the pandemic.

2020 ◽  
Vol 9 (2) ◽  
pp. 5
Author(s):  
Mulia Simatupang

ABSTRACT The purpose of this paper in to assess the impact of financial inclusion and  government expenditures in education and health sectors in order to increase human development index. Government expenditures has important role to support economic growth and welfare for its people. Fiscal policy expenditures in education and health sectors are kind of significant government policy to increase human development. It is believed that financial inclusion has also important role  to reduce poverty and indirectly increase human development index. Financial inclusion  has positive impacts to human development index component along with government  expenditures in education and health sector. In the years ahead, The Government should prioritize and increase budget in order to increase human  resources quality in Indonesia.


2008 ◽  
Vol 16 (6) ◽  
pp. 638-648 ◽  
Author(s):  
Sue Hacking ◽  
Jenny Secker ◽  
Helen Spandler ◽  
Lyn Kent ◽  
Jo Shenton

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jin Woo Ro ◽  
Nathan Allen ◽  
Weiwei Ai ◽  
Debi Prasad ◽  
Partha S. Roop

Abstract The COVID-19 pandemic has posed significant challenges globally. Countries have adopted different strategies with varying degrees of success. Epidemiologists are studying the impact of government actions using scenario analysis. However, the interactions between the government policy and the disease dynamics are not formally captured. We, for the first time, formally study the interaction between the disease dynamics, which is modelled as a physical process, and the government policy, which is modelled as the adjoining controller. Our approach enables compositionality, where either the plant or the controller could be replaced by an alternative model. Our work is inspired by the engineering approach for the design of Cyber-Physical Systems. Consequently, we term the new framework Compositional Cyber-Physical Epidemiology. We created different classes of controllers and applied these to control the disease in New Zealand and Italy. Our controllers closely follow government decisions based on their published data. We not only reproduce the pandemic progression faithfully in New Zealand and Italy but also show the tradeoffs produced by differing control actions.


A government policy is a scheme launched by the governing body of a nation for the welfare of a particular section of the society or the entire public in general. The impact of such a policy can hence only be determined by the response from its target group. The evaluation of these schemes is often challenging, due to the inability of the government body or organization to collect unfiltered and unbiased feedback from the entire population. The aforementioned task may require a large amount of effort, considerable time and in-depth knowledge of advanced technology. However, with the advent of the information era, it is possible to analyze the sentiments of the public using negligible resources. The internet is rich in freely available unused and unstructured data that can be exploited efficiently for various purposes. One such application is opinion mining which allows the user to extract data from social media websites and categorize it into pre-defined classes. This paper is an attempt to assess one of the most important and current government initiatives- “Digital India”, through public sentiments. Digital India is a program launched by the Prime Minister of India to transform the country into a technologically advanced and digitally connected nation. This research work corroborates the use of swarm intelligence or nature-inspired algorithms for feature subset selection during opinion mining, as it results in a substantial reduction in the number of features (and consequently a lesser computation time for model training) and increase in the classification accuracy of the model. Therefore, the aim of this study is to analyze public opinion on “Digital India” campaign to ascertain the success (or failure) of the mission, while at the same time, determine the most suited model for automated evaluation of any government policy in the future


2016 ◽  
Vol 32 (2) ◽  
pp. 456
Author(s):  
Dian Purworini ◽  
Engkus Kuswarno ◽  
Purwanti Hadisiwi ◽  
Agus Rakhmat

Mediation by the government in the Royal Palace of Surakarta’s internal conflict was considered reasonable and appropriate policy by the media. The approach to the conflict did not emphasize a strong cultural aspect of that culture-based organization. This research aimed to examine how online news media reported on the Royal Palace of Surakarta’s internal conflict. Furthermore, this research used framing analysis as proposed by Stephen D Reese to analyze the news published in February 2014. The outcome indicated that there was framing construction of the government policies. The content of the news presented that framing processes occurred. Those started from the transmission of the various debated about government policy, then reinforced through elections sentence that supported certain policy and continued to the naturalization process. The final process was an important strategy to make mediation as an accepted policy that should be done by the government. In the conclusion, the perception to be formed was that government policies were appropriate, and so everyone should hold it. The conflict resolution could be achieved through the mediation as already conducted.


2015 ◽  
Vol 16 (1) ◽  
pp. 12
Author(s):  
Roseline O Osagie

The government policy directive to secondary schools has been to diversify their programs to include vocational and technical education in the 6-3-3-4 system in order to make provision for students with varying aptitudes. This article explores the impact of this policy by examining some factors affecting the implementation of the policy in private secondary schools in Edo state. Subjects for the study were fifty (50) students, fifty (50) teachers and five (5) principals randomly drawn from five(5) private secondary schools in Edo State. The study utilized interviews, observations and a questionnaire to assess the implementation of government policy onvocational and technical education in private secondary schools in Edo State. The findings showed that there was a dearth of qualified teachers for vocational and technical subjects, poor infrastructure, lack of equipment, instructional materials and books. The schools were not adequately financed. It was observed that the federal government did not make adequate preparations before it issued directives for the take off of the programs in the schools. Recommendations were made for the federal government to sensitize the public on the importance of vocational and technical education, as it plays a vital and indispensable role in the economic and technological development of the country.


Author(s):  
Foteini Tseliou ◽  
Michael Rosato ◽  
Dermot O'Reilly

BackgroundHigh levels of mental ill-health have resulted in increasing delays in the receipt of appropriate care. However, the size of the gap between mental health needs and the likelihood of receiving treatment has not been thoroughly investigated on a population-level within Northern Ireland. ObjectivesTo that end we investigated the link between self-reported mental ill-health and likelihood of being in receipt of treatment in a population cohort. MethodsThe 2011 Northern Ireland Census was linked to a population-wide prescribing database. The presence of a chronic mental health condition, as assessed through the Census self-reported mental health question, was compared to regular psychotropic medication use in the six and twelve months following the Census. Of the 23,803 individuals (aged 25 to 74) who reported chronic mental ill-health at the Census, 22% were not in receipt of medication over the following six months, with this being reduced down to 18.5% by the twelve month mark. FindingsAfter adjusting logistic regression models for socio-demographic factors, men (OR=0.56: 95%CI=0.52-0.60), those of non-white ethnicity (OR=0.38: 95%CI=0.26-0.54), never married (OR=0.67: 95%CI=0.61-0.82), unemployed (OR=0.65: 95%CI=0.53-0.81) and living in a rural area (OR=0.88: 95%CI=0.79-0.98) were less likely to receive regular medication, indicating mental health unmet need. ConclusionsA level of discord was observed between mental-ill health and medication receipt on a population level. Further focus on mental health needs and the impact of low prescribing rates on mental health patients could help ameliorate the current inequalities and reduce potential gaps in mental health treatment.


2020 ◽  
Author(s):  
Jin Woo Ro ◽  
Nathan Allen ◽  
Weiwei Ai ◽  
Debi Prasad ◽  
Partha S. Roop

AbstractCOVID-19 pandemic has posed significant challenges globally. Countries have adopted different strategies with varying degrees of success. Epidemiologists are studying the impact of government actions using scenario analysis. However, the interactions between the government policy and the disease dynamics are not formally captured.We, for the first time, formally study the interaction between the disease dynamics, which is modelled as a physical process, and the government policy, which is modelled as the adjoining controller. Our approach enables compositionality, where either the plant or the controller could be replaced by an alternative model. Our work is inspired by the engineering approach for the design of Cyber-Physical Systems (CPSs). Consequently, we term the new framework Compositional Cyber-Physical Epidemiology (CCPE). We created different classes of controllers and applied these to control the disease in New Zealand and Italy. Our controllers closely follow government decisions based on their published data. We not only reproduce the pandemic progression faithfully in New Zealand and Italy but also show the tradeoffs produced by differing control actions.


Sign in / Sign up

Export Citation Format

Share Document