Data & Analytics

Elsevier, Current Opinion in Green and Sustainable Chemistry, Volume 29, June 2021
Microplastic pollution has sparked interest from researchers, public, industries, and regulators owing to reports of extensive presence of microplastics in the environment, household dust, drinking water, and food, which indicates chronic exposure to organisms within ecosystems and in human living spaces. Although exposure to microplastics is evident, negative effects from microplastics appear to be minimal in most studies on biota, and no risk assessments have been completed for microplastics on human health.
Background: Stunting rates in children younger than 5 years are among the most important health indicators globally. At the national level, malnutrition accounts for about 40% of under-5 deaths in Ghana. Disease risk mapping provides opportunities for disease surveillance and targeted interventions. We aimed to estimate and map under-5 stunting prevalence in Ghana, with the goal of identifying communities at higher risk where interventions and further research can be targeted. Methods: For this modelling study, we used data from the 2014 Ghana Demographic and Health Survey.
We investigate the role of creative skilled migrants in broadcasting an alternative use of technology in support of a sustainable smart city. We do so by analyzing the themes they produced on Twitter. We focus on Amsterdam as a case, and urban planners and designers as examples of creative migrants. Computational methodology allowed for a selection of naturally occurring data in social media.
Introduction: Growing demand for mental health services, coupled with funding and resource limitations, creates an opportunity for novel technological solutions including artificial intelligence (AI). This study aims to identify issues in patient flow on mental health units and align them with potential AI solutions, ultimately devising a model for their integration at service level. Method: Following a narrative literature review and pilot interview, 20 semi-structured interviews were conducted with AI and mental health experts.
The aim of the March Kennesaw State University College of Computing and Software Engineering Hackathon event, was to demonstrate to students how big data analytics may be used for social good to solve problems in society that make a real difference in people's lives. HPCC Systems provided students with the opportunity to learn more about The ADAM Program and take a look at missing children trends.
Contributing to SDGs 9, 12 and 13, this paper provides an in-depth analysis of the technologies available to reduce CO2 emissions in those sectors, and the implications for introducing consistent measures to deliver on emission reduction targets.

Nexis Newsdesk™ has created reports on the Sustainable Development Goals and the Global Media Landscape, offering charts & insights into global media coverage of the Global Goals.

Background: The population of older adults (ie, those aged ≥55 years) in England is becoming increasingly ethnically diverse. Previous reports indicate that ethnic inequalities in health exist among older adults, but information is limited by the paucity of data from small minority ethnic groups. This study aimed to analyse inequalities in health-related quality of life (HRQoL) and five determinants of health in older adults across all ethnic groups in England.

In recognition of International Women’s Day (IWD), Elsevier, a global leader in information analytics specializing in science and health, has launched a free access special issue of curated content focused on women and gender issues in health and sciences.

Elsevier,

Chris D. Jones, Chapter 4 - Numerical modeling of the global climate and carbon cycle system, Editor(s): Trevor M. Letcher, Climate Change (Third Edition), Elsevier, 2021, Pages 67-91

This chapter advances SDGs 13 and 15 by applying numerical modeling techniques to better understand the global climate and utilize observations to identify impacts of climate change on Earth.

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