The Hindu Kush-Himalaya (HKH) Region in the Modern Global and Climate Context: Major Weather Systems, Monsoon, Asian Brown Clouds (ABCs), Digital Data/Models and Global Linkages of Telecoupling and Teleconnection all Affecting Global Human Well-Being

2020 ◽  
pp. 25-40
Author(s):  
Falk Huettmann
Keyword(s):  
Well Being ◽  
Data Models ◽  
Digital Data ◽  
Hindu Kush ◽  
Global Linkages

scholarly journals USING CONTEXTUAL CUES IN UNDERSTANDING URBAN MENTAL WELL-BEING

2021 ◽  
Vol XLVI-4/W1-2021 ◽  
pp. 85-89
Author(s):  
T. Perez Oteiza ◽  
L. Kelly ◽  
P. Mooney
Keyword(s):  
Green Infrastructure ◽  
Traffic Congestion ◽  
Smart Cities ◽  
Well Being ◽  
Digital Data ◽  
Contextual Cues ◽  
City Life ◽  
Factors Associated ◽  
Mental Well Being ◽  
The City

Abstract. It is well established that city life can impact on individuals’ mental well-being. Factors associated with modes of transport in a city, such as cycle corridors and the reliability of bus network, and environment factors, such as availability of green spaces, have been shown to relate to individuals’ well-being in the city. Smart cities contain a wealth of digital data which has been used in the management and organisation of cities. Such data is gathered from sensors, networks and systems which contain rich insights on factors associated with city life. Such as, for example, the availability of open spaces in the city, traffic congestion, and air quality levels. We propose that these smart city data sources and data flows can act as contextual cues to indicate the mental well-being of individuals in the city. That is, we propose harnessing indicators and patterns in datasets known to be associated with well-being, and using these as contextual cues for automated city well-being level estimation. In this initial investigation, we focus on contextual cues associated with active travel and transportation, environmental information and green infrastructure. We propose an AI-based system which uses these contextual cues to generate an indicator of mental well-being in the city.

scholarly journals Early Warning Signs of a Mental Health Tsunami: A Coordinated Response to Gather Initial Data Insights From Multiple Digital Services Providers

2021 ◽  
Vol 2 ◽  
Author(s):  
Becky Inkster ◽  
Keyword(s):  
Mental Health ◽  
Financial Services ◽  
Common Good ◽  
Well Being ◽  
Warning Signs ◽  
Digital Data ◽  
Time Data ◽  
Diverse Range ◽  
Digital Services ◽  
Address Data

Introduction: The immediate impact of coronavirus 2019 (COVID-19) on morbidity and mortality has raised the need for accurate and real-time data monitoring and communication. The aim of this study is to document the initial observations from multiple digital services providers during the COVID-19 crisis, especially those related to mental health and well-being.Methods: We used email and social media to announce an urgent call for support. Digital mental health services providers (N = 46), financial services providers (N = 4), and other relevant digital data source providers (N = 3) responded with quantitative and/or qualitative data insights. People with lived experience of distress, as service users/consumers, and carers are included as co-authors.Results: This study provides proof-of-concept of the viability for researchers and private companies to work collaboratively toward a common good. Digital services providers reported a diverse range of mental health concerns. A recurring observation is that demand for digital mental health support has risen, and that the nature of this demand has also changed since COVID-19, with an apparent increased presentation of anxiety and loneliness.Conclusion: Following this study, we will continue to work with providers in more in-depth ways to capture follow-up insights at regular time points. We will also onboard new providers to address data representativeness. Looking ahead, we anticipate the need for a rigorous process to interpret insights from an even wider variety of sources in order to monitor and respond to mental health needs.

scholarly journals EP.TH.342Using aboutmyop.org to measure quality of life using ePROMs in patients undergoing elective laparoscopic cholecystectomy – a feasibility study

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Prita Daliya ◽  
Dileep Lobo ◽  
Simon Parsons
Keyword(s):  
Quality Of Life ◽  
Laparoscopic Cholecystectomy ◽  
Methodological Quality ◽  
Clinical Care ◽  
Well Being ◽  
Drop Out ◽  
Digital Data ◽  
Patient Reported ◽  
Elective Laparoscopic Cholecystectomy

Abstract Introduction The collection of Patient Reported Outcome Measures (PROMs) have many benefits for clinical practice. However, there are also many barriers that prevent it from becoming a part of routine clinical care. The aim of this study was to pilot the use of aboutmyop.org; a digital data-sharing platform, as a means to collecting electronic PROMs (ePROMs) and validate the ePROMs questionnaires used. Method Patients listed for elective laparoscopic cholecystectomy were asked to complete digital versions of the Otago gallstones Condition-Specific Questionnaire (CSQ), and the RAND 36-item health survey (SF36) on aboutmyop.org, pre- and post-operatively. In addition to ePROMs, patient demographics and 30-day clinical outcomes were recorded. An assessment of methodological quality of ePROM questionnaires was also performed. Results Pre-operative ePROMs were completed in 200 laparoscopic cholecystectomy patients. Despite participant drop out a significant improvement in quality of life was seen across all health domains post-operatively when compared to baseline pre-operative values for both disease-specific (emotional functioning; Pre-operative: 48.9, 30-days: 15.6, 3-months: 16.7, 6-months: 7.9, p < 0.05) and generic (emotional well-being; Pre-operative: 60.1, 30-days: 73.7, 3-months: 74.3, 6-months: 73.5, p < 0.05) PROMs. Methodological quality was assessed as good to excellent in both digital questionnaires used in the aboutymyop.org system. Conclusion The collection of ePROMs by a digital utility such as aboutymyop.org is possible with current technological advances. Although it may be an acceptable, and convenient process for patients, and a useful measure of quality of life trends for clinicians, further developmental work is necessary to improve accessibility for patients and reduce reporting bias.

Integrating IoT platforms using the INTER-IoT approach: A case study of the CasAware project

2020 ◽  
Vol 12 (6) ◽  
pp. 457-474
Author(s):  
Gianfranco E. Modoni ◽  
Enrico G. Caldarola ◽  
Nicola Mincuzzi ◽  
Marco Sacco ◽  
Katarzyna Wasielewska ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Well Being ◽  
Software Tools ◽  
Data Models ◽  
Research Project ◽  
Iot Platforms

CasAware is an Ambient Assisted Living platform, developed within an Italian research project, with the aim to improve the level of comfort and well-being of inhabitants of a house, while optimizing the energy consumption. A key feature, for successful realization of such a platform, is its capability to interoperate with other IoT platforms, which can augment CasAware with additional services. Indeed, this capability facilitates smooth communication between CasAware devices and external devices connected to other IoT platforms, thus allowing efficient exchange of messages among them. However, such integration is hindered by the heterogeneity of data models used in different platforms, which is also related to lack of common standards. In order to realize integration needed for CasAware, this paper presents an approach which exploits results of the INTER-IoT project. Specifically, the INTER-IoT methodology and a set of software tools for achieving IoT interoperability are applied. In the presented study, it is shown how the INTER-IoT based approach can facilitate interoperability between CasAware and two other platforms, which use completely different data models.

scholarly journals Smart aging monitoring and early dementia recognition (SAMEDR): uncovering the hidden wellness parameter for preventive well-being monitoring to categorize cognitive impairment and dementia in community-dwelling elderly subjects through AI

2021 ◽  
Author(s):  
Hemant Ghayvat ◽  
Prosanta Gope
Keyword(s):  
Healthy Subject ◽  
Research Work ◽  
Well Being ◽  
Data Models ◽  
Community Dwelling ◽  
Sensor Data ◽  
Elderly Subjects ◽  
Healthy Elderly ◽  
Early Dementia ◽  
The Impact

AbstractReasoning weakening because of dementia degrades the performance in activities of daily living (ADL). Present research work distinguishes care needs, dangers and monitors the effect of dementia on an individual. This research contrasts in ADL design execution between dementia-affected people and other healthy elderly with heterogeneous sensors. More than 300,000 sensors associated activation data were collected from the dementia patients and healthy controls with wellness sensors networks. Generated ADLs were envisioned and understood through the activity maps, diversity and other wellness parameters to categorize wellness healthy, and dementia affected the elderly. Diversity was significant between diseased and healthy subjects. Heterogeneous unobtrusive sensor data evaluate behavioral patterns associated with ADL, helpful to reveal the impact of cognitive degradation, to measure ADL variation throughout dementia. The primary focus of activity recognition in the current research is to transfer dementia subject occupied homes models to generalized age-matched healthy subject data models to utilize new services, label classified datasets and produce limited datasets due to less training. Current research proposes a novel Smart Aging Monitoring and Early Dementia Recognition system that provides the exchange of data models between dementia subject occupied homes (DSOH) to healthy subject occupied homes (HSOH) in a move to resolve the deficiency of training data. At that point, the key attributes are mapped onto each other utilizing a sensor data fusion that assures to retain the diversities between various HSOH & DSOH by diminishing the divergence between them. Moreover, additional tests have been conducted to quantify the excellence of the offered framework: primary, in contradiction of the precision of feature mapping techniques; next, computing the merit of categorizing data at DSOH; and, the last, the aptitude of the projected structure to function thriving due to noise data. The outcomes show encouraging pointers and highlight the boundaries of the projected approach.

scholarly journals Impact of Climate Change on Health and Well-Being of People in Hindu Kush Himalayan Region: A Narrative Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Meghnath Dhimal ◽  
Dinesh Bhandari ◽  
Mandira Lamichhane Dhimal ◽  
Naviya Kafle ◽  
Prajjwal Pyakurel ◽  
...  
Keyword(s):  
Climate Change ◽  
Well Being ◽  
Mitigation Measures ◽  
Mountainous Area ◽  
Climate Change And Variability ◽  
Temperature And Precipitation ◽  
The People ◽  
Hindu Kush ◽  
Health And Well Being ◽  
Adaptation And Mitigation

Climate change and variability affect virtually everyone and every region of the world but the effects are nowhere more prominent than in mountain regions and people living therein. The Hindu Kush Himalayan (HKH) region is a vast expanse encompassing 18% of the world’s mountainous area. Sprawling over 4.3 million km2, the HKH region occupies areas of eight countries namely Nepal, Bhutan, Afghanistan, Bangladesh, China, India, Myanmar, and Pakistan. The HKH region is warming at a rate higher than the global average and precipitation has also increased significantly over the last 6 decades along with increased frequency and intensity of some extreme events. Changes in temperature and precipitation have affected and will like to affect the climate-dependent sectors such as hydrology, agriculture, biodiversity, and human health. This paper aims to document how climate change has impacted and will impact, health and well-being of the people in the HKH region and offers adaptation and mitigation measures to reduce the impacts of climate change on health and well-being of the people. In the HKH region, climate change boosts infectious diseases, non-communicable diseases (NCDs), malnutrition, and injuries. Hence, climate change adaptation and mitigation measures are needed urgently to safeguard vulnerable populations residing in the HKH region.

scholarly journals Enhancing CIDOC-CRM and compatible models with the concept of multiple interpretation

2017 ◽  
Vol IV-2/W2 ◽  
pp. 287-294 ◽  
Author(s):  
M. Van Ruymbeke ◽  
P. Hallot ◽  
R. Billen
Keyword(s):  
Cultural Heritage ◽  
Conceptual Model ◽  
Data Models ◽  
Digital Data ◽  
Semantic Data ◽  
Multiple Interpretation ◽  
Cidoc Crm ◽  
Ideal Framework ◽  
Cultural Heritage Objects ◽  
Archaeological Objects

Modelling cultural heritage and archaeological objects is used as much for management as for research purposes. To ensure the sustainable benefit of digital data, models benefit from taking the data specificities of historical and archaeological domains into account. Starting from a conceptual model tailored to storing these specificities, we present, in this paper, an extended mapping to CIDOC-CRM and its compatible models. Offering an ideal framework to structure and highlight the best modelling practices, these ontologies are essentially dedicated to storing semantic data which provides information about cultural heritage objects. Based on this standard, our proposal focuses on multiple interpretation and sequential reality.

scholarly journals Real-Time Assessment of the Burden on the Community of Informal Caregivers. A Pilot Study

2020 ◽  
Vol 3 (4) ◽  
pp. 491-505
Author(s):  
Anna Pettini
Keyword(s):  
Mental Illness ◽  
Pilot Study ◽  
Real Time ◽  
Psychiatric Patients ◽  
Survey Methods ◽  
Informal Caregivers ◽  
Well Being ◽  
Digital Data ◽  
Accurate Information ◽  
Digital Tool

AbstractGood mental health is a critical part of individual well-being, and one of the cornerstones of community well-being. This paper focuses on the community of parents of young psychiatric patients, whose well-being loss is significant because of the enormous burden of suffering that results from their children’s illness. This burden is seldom considered by the ordinary calculations of the costs of mental illness. We suggest that digital daily diaries (DDDs) with instant reporting can become a powerful tool to estimate the intangible costs of mental illness, namely the loss of well-being suffered by the community of informal caregivers. A pilot study was carried out to test the validity of the digital tool. The results of instant reports provide accurate information and are consistent with those obtained through other traditional survey methods. The digital data-gathering tool can be extended to design an affordable, prompt, and cost-effective possible solution for policy-oriented interventions. Besides, this digital tool can easily be extended to collect real-time big data and to use them in conjunction with Artificial Intelligence (AI) to give professionals a powerful tool to face a relevant community issue.

scholarly journals mHealth wearables and smartphone health tracking apps: A changing privacy landscape

2021 ◽  
pp. 1-9
Author(s):  
Christine Suver ◽  
Ellen Kuwana
Keyword(s):  
Data Privacy ◽  
Digital Health ◽  
Well Being ◽  
Unintended Consequences ◽  
Digital Data ◽  
Health Technologies ◽  
Related Data ◽  
Health Apps ◽  
Health Related ◽  
Being There

The use of digital health technologies is changing the ways people monitor and manage their health and well-being. There is increasing interest in using wearables and smartphone health apps to collect health-related data, a domain within digital health referred to as mHealth. Wearables and health apps can continuously monitor metrics such as physical activity, sleep, and heart rate, to name a few. These mHealth data can supplement the measures taken by healthcare professionals during regular doctor’s visits, with mHealth having the advantage of a much greater frequency of collection. But what are the privacy considerations with mHealth? This paper explores global data privacy protections, enumerates principles to guide regulations, discusses the tension between anonymity and data utility, and proposes ways to improve how we as a society talk about and safeguard data privacy. We include brief discussions about inadvertent or unintended consequences of digital data collection and the trade-off between privacy and public health interests, such as is illustrated by COVID-19 contract tracing apps. This paper concludes by offering suggestions for consideration about improving privacy and confidentiality notices.

scholarly journals Association between Gender and Prevalence of Pit and Fissure Caries among Patients Visiting Private Dental College - A Retrospective study

2020 ◽  
Vol 11 (SPL3) ◽  
pp. 568-573
Author(s):  
Indumathy Pandiyan ◽  
Raj S S ◽  
Arthi Balasubramaniam
Keyword(s):  
Retrospective Study ◽  
Oral Health ◽  
Statistical Tests ◽  
Data Entry ◽  
Well Being ◽  
Information Management System ◽  
Digital Data ◽  
Chi Square ◽  
Adequate Knowledge ◽  
Class 1

Oral health contributes to personal well being and overall quality of life of an individual. Adequate knowledge regarding oral health is mandatory as it is directly related to general health, so the Aim of our study was to determine the association between Gender and Prevalence of Pit and Fissure caries among the patients visiting Private Dental College. A retrospective study was conducted among the patients visiting private dental colleges using their case records in the electronic information management system. The subjects were selected randomly from the digital data entry and the data required was collected. The records were collected from the month of June 2019 to March 2020, with a total of 24,525 case sheets were retrieved. Age of the patients was categorized into 18 to 25 years, 26 to 35 years and 36 to 45 years. Case sheets which recorded Class 1 occlusal pit and fissure caries and gender of the patients were used for data analysis. Descriptive statistics, chi-square statistical tests were conducted using the SPSS software version 23.0. In our sample, 60.4% of males had 7-12 occlusal pit and fissure caries, and 58.3% had 4-6 Occlusal Pit and Fissure caries followed by 58.4% had 0-3 occlusal pit and Fissure caries. Comparatively the females had a lesser number of occlusal Pit and Fissure caries, and there was no statistically significant association between gender and occlusal pit and fissure caries (P<0.05) in our study. In conclusion, the prevalence of occlusal Pit and Fissure caries was higher among males compared to females with the highest distribution in the age group of 18 to 25 years.

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