International Day of People With Disabilities 2020

Elsevier, 13th November 2020

December 3rd is the International Day of People With Disabilities (IDPWD). In support of this year's theme - 'Not all Disabilities are Visible' - Elsevier presents presents a curated, open access collection of over 50 journal articles and book chapters focused on spreading awareness and understanding of disabilities, many of which are not immediately apparent. This includes mental illness, chronic pain or fatigue, brain injuries, neurological disorders, learning differences and cognitive dysfunctions, among others. 

According to the WHO World Report on Disability, 15 per cent of the world’s population, or more than 1 billion people, are living with disability. Of this number, it’s estimated 450 million are living with a mental or neurological condition— and two-thirds of these people will not seek professional medical help, largely due to stigma, discrimination and neglect. 

Another 69 million individuals are estimated to sustain Traumatic Brain Injuries each year worldwide, while one in 160 children are identified as on the autism spectrum. 

These are just some examples of the millions of people currently living with a disability that is not immediately visible, and a reminder of the importance of removing barriers for all people living with disability, both visible and invisible. 

During the COVID-19 pandemic, isolation, disconnect, disrupted routines and diminished services have greatly impacted the lives and mental well-being of people with disabilities right around the world. Spreading awareness of invisible disabilities, as well as these potentially detrimental impacts to mental health, is crucial as the world continues to fight against the virus. 

Elsevier, Neuron, Volume 100, 24 October 2018
Recent progress in the genomics of non-syndromic autism spectrum disorder (nsASD) highlights rare, large-effect, germline, heterozygous de novo coding mutations. This distinguishes nsASD from later-onset psychiatric disorders where gene discovery efforts have predominantly yielded common alleles of small effect. These differences point to distinctive opportunities for clarifying the neurobiology of nsASD and developing novel treatments.
Elsevier, Neuron, Volume 101, 6 March 2019
Alzheimer's disease (AD) is considered a polygenic disorder. This view is clouded, however, by lingering uncertainty over how to treat the quasi “monogenic” role of apolipoprotein E (APOE). The APOE4 allele is not only the strongest genetic risk factor for AD, it also affects risk for cardiovascular disease, stroke, and other neurodegenerative disorders. This review, based mostly on data from human studies, ranges across a variety of APOE-related pathologies, touching on evolutionary genetics and risk mitigation by ethnicity and sex.

Elsevier Connect, June 3rd 2020

A civil engineer/cyclist helps his research team understand challenges faced by cyclists with disabilities, addressing SDG 3 and 10.
Elsevier, Renewable and Sustainable Energy Reviews, Volume 120, March 2020
Smart home technologies refer to devices that provide some degree of digitally connected, automated, or enhanced services to building occupants. Smart homes have become central in recent technology and policy discussions about energy efficiency, climate change, and the sustainability of buildings. Nevertheless, do they truly promote sustainability goals? In addition, what sorts of benefits, risks, and policies do they entail?
Elsevier, Journal of Transport and Health, Volume 18, September 2020
Introduction: Transport, a well-recognised determinant of health, is particularly salient to well-being and equitable health outcomes amongst older people and people living with disabilities living in low-and middle-income countries. This study explored the facilitators and barriers for safe and accessible transportation from the perspectives of older people and those living with disabilities in Sri Lanka.
Elsevier, Journal of Air Transport Management, Volume 87, August 2020
Passengers who require special assistance at airports and on aircraft represent one of the fastest growing demographics for aviation worldwide. At some airports, annual growth in PRM (persons with reduced mobility) traffic is six times greater than the overall rate of passenger growth yet barriers to accessible air travel remain and disabled passengers continue to exhibit a lower propensity to fly than other travellers.
Elsevier, Biomedical Signal Processing and Control, Volume 62, September 2020
Objective imaging-based biomarker discovery for psychiatric conditions is critical for accurate diagnosis and treatment. Using a machine learning framework, this work investigated the utility of brain's functional network topology (complex network features) extracted from functional magnetic resonance imaging (fMRI) functional connectivity (FC) as viable biomarker of autism spectrum disorder (ASD). To this end, we utilized resting-state fMRI data from the publicly available ABIDE dataset consisting of 432 ASD patients and 556 matched healthy controls.
Elsevier, Biomedical Signal Processing and Control, Volume 62, September 2020
Objective: Many studies evaluated how the Magnetic Resonance Imaging (MRI) field strength affects the effectiveness to detect neurodegenerative changes of Alzheimer's disease (AD), derived from atrophy or thickness. To the best of our knowledge, no study evaluated before how tissue texture changes are affected. In this research, hippocampus texture features extracted from 1.5 T and 3 T MRI are evaluated how are affected by the magnetic field strength.
Elsevier, Journal of Transport Geography, Volume 87, July 2020
In the U.S., substantial employment and wage gaps persist between workers with and without disabilities. A lack of accessible transportation is often cited as a barrier to employment in higher wage jobs for people with disabilities, but little is known about the intraurban commuting patterns of employed people with disabilities in relation to their wage earnings.
Elsevier, Biomedical Signal Processing and Control, Volume 57, March 2020
Clinical assessment of speech abnormalities in Cerebellar Ataxia (CA) is subjective and prone to intra- and inter-clinician inconsistencies. This paper presents an automated objective method based on a single syllable repetition task to detect and quantify speech-timing anomalies in ataxic speech. Such a technique is non-invasive, reliable, fast, cost-effective and can be used in the comfort of home without any professional assistance.