This book chapter advances SDG 3 and 10 by describing and discussing (1) the existing evidence examining associations between mental health and technology use including depression, anxiety, body dissatisfaction, attention-deficit disorders (and risks of distraction), and addictive behaviors and (2) the impacts of risky online communities on adolescents’ mental health, focusing on networks promoting proeating disorder behaviors and prosuicidality.
Water footprint (WF) measures human appropriation of water resources for consumptive use of surface and ground water (blue WF) and soil water (green WF) and for assimilating polluted water (grey WF). Questions have been often asked about the exact meaning behind the numbers from WF accounting. However, to date environmental sustainability of WF has never been assessed at the sub-national level over time. This study evaluated the environmental sustainability of blue, green and grey WF for China's 31 mainland provinces in 2002, 2007 and 2012, and identified the unsustainable hotspots.
Background: The WHO elimination strategy for hepatitis C virus advocates scaling up screening and treatment to reduce global hepatitis C incidence by 80% by 2030, but little is known about how this reduction could be achieved and the costs of doing so. We aimed to evaluate the effects and cost of different strategies to scale up screening and treatment of hepatitis C in Pakistan and determine what is required to meet WHO elimination targets for incidence.
Sustainable Development Goal (SDG) indicator 15.1.1 proposes to quantify “Forest area as a proportion of total land area” in order to achieve SDG target 15.1. While area under forest cover can provide useful information regarding discrete changes in forest cover, it does not provide any insight on subtle changes within the broad vegetation class, e.g. forest degradation. Continental or national-level studies, mostly utilizing coarse-scale satellite data, are likely to fail in capturing these changes due to the fine spatial and long temporal characteristics of forest degradation.
Elsevier,
Diagnosis and Management in Dementia: The Neuroscience of Dementia, Volume 1, Volume , 1 January 2020
This book chapter advances SDG #3 and #10 by outlining how both the asymptomatic and symptomatic predementia phases of AD, amyloid positivity using amyloid PET imaging could predict progression to AD dementia. Amyloid PET imaging can identify the status of Aβ deposition in the underlying AD pathophysiology, increase diagnostic certainty, and alter management. This approach could improve the diagnose and management for patients with memory loss or cognitive dysfunction.
Elsevier,
Diagnosis and Management in Dementia: The Neuroscience of Dementia, Volume 1, Volume , 1 January 2020
This book chapter advances SDG #3 and #10 by focusing on providing a brief overview of genes associated with sporadic (late-onset) Alzheimer's disease (AD).
This book chapter advances SDG #3 and #10 by reviewing background on neurocognitive disorders, approaches to diagnosis, and management of several of the more problematic psychiatric complications of dementia. Disorders reviewed include AD, vascular dementia, Lewy body disease, and frontotemporal dementia. Psychiatric symptoms reviewed include apathy, agitation, psychosis, depression, and anxiety.
Elsevier,
Diagnosis and Management in Dementia: The Neuroscience of Dementia, Volume 1, Volume , 1 January 2020
This book chapter advances SDG #3 and #10 by providing an overview of natural AChE inhibitors extracted from plants and their therapeutic potential to treat AD.
This book chapter advances SDG 3 and 10 by providing best practices and applied examples to instruct human factors practitioners (researchers and designers) in creating health-care designs that are inclusive of various populations.
This book chapter advances SDG 3 and 10 by exploring the current state of design as applied to global health, models of how it is carried out, and some of the questions that arise for practitioners. The goal of this chapter is to help practioners design models to help improve health and well-being of people in lower income countries.
