scholarly journals Computing for Numeracy: How Safe is Your COVID-19 Social Bubble?

Numeracy ◽  
2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Charles Connor

The COVID-19 pandemic has led many people to form social bubbles. These social bubbles are small groups of people who interact with one another but restrict interactions with the outside world. The assumption in forming social bubbles is that risk of infection and severe outcomes, like hospitalization, are reduced. How effective are social bubbles? A Bayesian event tree is developed to calculate the probabilities of specific outcomes, like hospitalization, using example rates of infection in the greater community and example prior functions describing the effectiveness of isolation by members of the social bubble. The probabilities are solved for two contrasting examples: members of an assisted living facility and members of a classroom, including their teacher. A web-based calculator is provided so readers can experiment with the Bayesian event tree and learn more about these probabilities by modeling their own social bubble.

2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512505115p1-7512505115p1
Author(s):  
Nicole A. Fidanza ◽  
Julia Kowal ◽  
Salvador Bondoc

Abstract Date Presented 04/200/21 This qualitative study explored the perceptions and social participation experiences of adults residing in an assisted living facility (ALF). Four themes emerged: impressions and social transition, social connections impacting relationships, motivation as key to socialization, and resident-perceived barriers to socialization. Findings implicate the need for change within the ALF setting to best facilitate the social participation and minimize the social isolation of its residents. Primary Author and Speaker: Nicole A. Fidanza Additional Authors and Speakers: Whitney Ogechi Ihezue, J. Rita Park, and Janet Njelesani


2020 ◽  
Vol 12 (10) ◽  
pp. 4138 ◽  
Author(s):  
Jouni Korhonen ◽  
Birk Granberg

Sweden is applying the herd-immunity as its main natural science strategy to combat the Covid-19 pandemic. This has been communicated in a transparent manner. Small groups of young(er) people of up to approximately 50 individuals are subject to a bigger risk of infection than others. The objective of this paper is to make a case for the argument, that alongside herd-immunity, Sweden is using the social science originated planning approach: backcasting. The government has not been transparent on backcasting. The authors present the use of backcasting only as an argument based on available data and authors’ reasoning. A backcasting exercise for the case of the Swedish economy is constructed. This frame outlines five interdependent levels with which a national economy can apply what this paper calls a backcasting herd-immunity approach in its COVID-19 policy. The authors further suggest how it is possible to use social science, natural science and political ideology as complementary in COVID-19 mitigation in particular and in sustainability strategies in general.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1367-1373
Author(s):  
Nikhil Sanjay Mujbaile ◽  
Smita Damke

The Covid illness (COVID-19) pandemic has spread rapidly all through the world and has had a drawn-out impact. The Pandemic has done incredible damage to society and made genuine mental injury to numerous individuals. Mental emergencies frequently cause youngsters to deliver sentiments of relinquishment, despondency, insufficiency, and fatigue and even raise the danger of self-destruction. Youngsters with psychological instabilities are particularly powerless during the isolate and colonial removing period. Convenient and proper assurances are expected to forestall the event of mental and social issues. The rising advanced applications and wellbeing administrations, for example, telehealth, web-based media, versatile wellbeing, and far off intuitive online instruction can connect the social separation and backing mental and conduct wellbeing for youngsters. Because of the mental advancement qualities of youngsters, this investigation additionally outlines intercessions on the mental effect of the COVID-19 Pandemic. Further difficulties in Low Middle-Income Countries incorporate the failure to actualize successful general wellbeing estimates, for example, social separating, hand cleanliness, definitive distinguishing proof of contaminated individuals with self-disconnection and widespread utilization of covers The aberrant impacts of the Pandemic on youngster wellbeing are of extensive concern, including expanding neediness levels, upset tutoring, absence of admittance to the class taking care of plans, decreased admittance to wellbeing offices and breaks in inoculation and other kid wellbeing programs. Kept tutoring is critical for kids in Low Middle-Income Countries. Arrangement of safe situations is mainly testing in packed asset obliged schools. 


2021 ◽  
Vol 94 ◽  
pp. 104375
Author(s):  
Emmanuel Chiebuka Okoye ◽  
Christopher Olusanjo Akosile ◽  
Fatai Adesina Maruf ◽  
Ifeoma Uchenna Onwuakagba ◽  
Ukamaka Gloria Mgbeojedo

2014 ◽  
Vol 12 (1) ◽  
pp. 35-52 ◽  
Author(s):  
Mariana Curado Malta ◽  
Ana Alice Baptista ◽  
Cristina Parente

This paper presents the state of the art on interoperability developments for the social and solidarity economy (SSE) community web based information systems (WIS); it also presents a framework of interoperability for the SSE' WIS and the developments made in a research-in-progress PhD project in the last 3 years. A search on the bibliographic databases showed that so far there are no papers on interoperability initiatives on the SSE, so it was necessary to have other sources of information: a preliminary analysis of the WIS that support SSE activities; and interviews with the representatives of some of the world's most important SSE organisations. The study showed that the WIS are still not interoperable yet. In order to become interoperable a group of the SSE community has been developing a Dublin Corre Application Profile to be used by the SSE community as reference and binding to describe their resources. This paper also describes this on-going process.


2018 ◽  
Vol 12 (4) ◽  
pp. 433-455
Author(s):  
Olivier Alexandre

This article charts the development of the sociology of culture in France. First, it examines the hypothesis of a French model, putting into perspective the correlation between cultural policies and dedicated sociological inquiries at the end of the 1950s. ‘Culture’ is one of the oldest fields of research in France, and current research still derives from the same anthropological matrix. Yet French sociologists present themselves as part of a divided and competitive academic domain. This article, based on an encompassing review of the literature as well as on in-depth interviews, accordingly distinguishes eight different ‘schools’ – organized around pre-eminent academics, concept producers and resource providers – as well as circles of collaboration. Whilst these circles organize their theoretical activity around emblems (with the word ‘culture’ referring to different conceptual sets) the social relations in their midst are organized around dyads, which usually transition from positive collaboration to rivalry. The article highlights the importance of these divisions as a fractal process and as boundary work for scientific production. From this perspective, the sociology of culture in France could be described as a large and extensive system of concepts and collaborations developed within small groups, within and between which, as with all ‘cultural’ matters, symbolic activity is the key basis for social status.


Author(s):  
Nasibah Husna Mohd Kadir ◽  
Sharifah Aliman

In the social media, product reviews contain of text, emoticon, numbers and symbols that hard to identify the text summarization. Text analytics is one of the key techniques in exploring the unstructured data. The purpose of this study is solving the unstructured data by sort and summarizes the review data through a Web-Based Text Analytics using R approach. According to the comparative table between studies in Natural Language Processing (NLP) features, it was observed that Web-Based Text Analytics using R approach can analyze the unstructured data by using the data processing package in R. It combines all the NLP features in the menu part of the text analytics process in steps and it is labeled to make it easier for users to view all the text summarization. This study uses health product review from Shaklee as the data set. The proposed approach shows the acceptable performance in terms of system features execution compared with the baseline model system.


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