scholarly journals Social economic impact of COVID-19 outbreak in India

2020 ◽  
Vol 16 (4) ◽  
pp. 309-319 ◽  
Author(s):  
Sandeep Kumar M. ◽  
Maheshwari V. ◽  
Prabhu J. ◽  
Prasanna M. ◽  
Jayalakshmi P. ◽  
...  
Keyword(s):  
Adverse Effect ◽  
Health Care ◽  
Normal Condition ◽  
Social Economic ◽  
Contact Tracing ◽  
Travel History ◽  
Content Type ◽  
The People ◽  
Affected Person ◽  
Iot Devices

Purpose The situations of COVID-19 will certainly have an adverse effect over and above health care on factors of the internet of things (IoT) market. To overcome all the above issues, IoT devices and sensors can be used to track and monitor the movement of the people, so that necessary actions can be taken to prevent the spread of coronavirus disease (COVID-19). Mobile devices can be used for contact tracing of the affected person by analyzing the geomap of the travel history. This will prevent the spread and reset the economy to the normal condition. Design/methodology/approach To respond to the global COVID-19 outbreak, the social-economic implications of COVID-19 on specific dimensions of the global economy are analyzed in this study. The situations of COVID-19 will certainly have an adverse effect over and above health care on factors of the IoT market. To overcome these issues IoT devices and sensors can be used to track and monitor the movement of the people so that necessary actions can be taken to prevent the spread of COVID-19. Mobile devices can be used for contact tracing of the affected person by analyzing the geomap of the travel history. This will prevent the spread and reset the economy to the normal condition. A few reviews, approaches, and guidelines are provided in this article along these lines. Moreover, insights about the effects of the pandemic on various sectors such as agriculture, medical industry, finance, information technology, manufacturing and many others are provided. These insights may support strategic decision making and policy framing activities for the top level management in private and government sectors. Findings With insecurities of a new recession and economic crisis, key moments such as these call for strong and powerful governance in health, business, government, and large society. Instant support measures have to be initiated and adapted for those who can drop through the cracks. Mid- and long-term strategies are required to stabilize and motivate the economy during this recession. Originality/value A comprehensive social-economic development strategy that consists of sector by sector schemes and infrastructure that supports business to ensure the success of those with reliable and sustainable business models is necessary. From the literature analysis and real world observations it is concluded that the IoT, sensors, wearable devices and computational technologies plays major role in preserving the economy of the country by preventing the spread of COVID-19.

scholarly journals Overlooked and undervalued: the caring contribution of older people

2014 ◽  
Vol 41 (5) ◽  
pp. 397-419 ◽  
Author(s):  
Fiona Carmichael ◽  
Marco G. Ercolani
Keyword(s):  
Health Care ◽  
Older People ◽  
Personal Care ◽  
Data Set ◽  
Content Type ◽  
The People ◽  
Ordered Logistic Regression ◽  
Allocation Of Time ◽  
Nationally Representative

Purpose – Older people are often perceived to be a drain on health care resources. This ignores their caring contribution to the health care sector. The purpose of this paper is to address this imbalance and highlight the role of older people as carers. Design/methodology/approach – The study uses a unique data set supplied by a charity. It covers 1,985 caregivers, their characteristics, type and amount of care provided and the characteristics and needs of those cared-for. Binary and ordered logistic regression is used to examine determinates of the supply of care. Fairlie-Oaxaca-Blinder decompositions are used to disentangle the extent to which differences in the supply of care by age are due to observable endowment effects or coefficient effects. Nationally representative British Household Panel Survey data provide contextualization. Findings – Older caregivers are more intensive carers, caring for longer hours, providing more co-residential and personal care. They are therefore more likely to be in greater need of assistance. The decompositions show that their more intensive caring contribution is partly explained by the largely exogenous characteristics and needs of the people they care for. Research limitations/implications – The data are regional and constrained by the supplier's design. Social implications – Older carers make a significant contribution to health care provision. Their allocation of time to caregiving is not a free choice, it is constrained by the needs of those cared-for. Originality/value – If the burden of care and caring contribution are measured by hours supplied and provision of intimate personal care, then a case is made that older carers experience the greatest burden and contribute the most to the community.

COVID-19 boosts prospects for health IoT

2020 ◽  
Keyword(s):  
Health Services ◽  
Data Protection ◽  
Digital Health ◽  
Public Private Partnerships ◽  
Contact Tracing ◽  
Iot Security ◽  
Content Type ◽  
Cyber Insurance ◽  
Medical Researchers ◽  
Iot Devices

Significance Health IoT devices are also useful for collecting patient data, which, at scale, could help medical researchers better understand the virus. However, cybersecurity risks are high and rising. Impacts Public-private partnerships will rise as governments contract private firms for digital health services. If contact-tracing apps become ubiquitous, users are likely to take an increased interest in data protection more generally. IoT security will become a regular part of cyber insurance.

Social capital, shocks and livestock investments: evidence from Masaka District, Uganda

2014 ◽  
Vol 13 (2) ◽  
pp. 98-112 ◽  
Author(s):  
Joseph Mawejje ◽  
Stein Terje Holden
Keyword(s):  
Social Capital ◽  
Poverty Reduction ◽  
Agricultural Development ◽  
Social Economic ◽  
Rural Households ◽  
Social Groups ◽  
Content Type ◽  
Group Activities ◽  
Group Participation ◽  
The People

Purpose – The purpose of this paper is to examine the determinants of a household's social capital in the form of community group participation and empirically analyses the roles that social capital plays in helping rural households rebuild productive assets after shocks. Design/methodology/approach – In this paper, social capital is modelled as a household's intensity of group participation measured by the density and active participation in group activities as well as their multiplicative and additive indices. Instrumental variable methods were used to address the problem of endogeneity associated with social capital. Findings – The results indicate that household characteristics such as age, education level, dependence ratio and years of village residence as well as village-level characteristics such as the village population density are critical determinants of social capital. In addition, social capital measured in form of density of participation in group activities and attendance score as well as multiplicative and additive indices of these have significant positive effects on the household ability to rebuild livestock assets. Research limitations/implications – The authors realize that several weakness in the approach could compromise the validity of the findings. These weaknesses include: the cross-sectional nature of the data, the omitted variable bias, the endogeneity concerns of social capital and the identification strategy, sample size and the dimensions the authors chose to measure social capital. Future research should explore the factors that can help households to engage more in-group activities. Practical implications – The findings have important implications for government policy especially in areas of agricultural development and poverty reduction. Specifically, governments should pay close attention to the various social groups as they can serve as important channels to achieve better social economic outcomes, including the accumulation of rural assets, as is the case with livestock assets in rural Uganda. Social implications – Many governments in Sub-Saharan Africa are constrained to provide basic public goods to the people. This is due to a combination of limited budgets and lack of good leadership. In such circumstances, the people have to rely on their collective/social effort to take advantage of market opportunities. Such opportunities can be accessed using the existing social structures whose norms and the trust between members permit cooperation. Originality/value – The study contributes to a small but growing empirical literature on social groups and how they can mediate social economic outcomes especially for rural households. The empirical estimations take into consideration the endogeneity concerns associated with social network capital. The paper will be useful for policy makers and researchers who may have a keen interest in the roles that group activities play in agricultural development and poverty reduction.

scholarly journals Evaluating the Health Care the Level of Electronic Health (e-Health) among Healthcare in Developing Countries and It Application in the Management of COVID-19 Pandemic Outbreak

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Stephen O ◽  
Keyword(s):  
Health Care ◽  
Developing Countries ◽  
Communicable Disease ◽  
Contact Tracing ◽  
Evolutionary Trend ◽  
Political Commitment ◽  
The People ◽  
The Face ◽  
Information And Communication ◽  
Electronic Health

Context: Healthcare institution in developing countries is in a state of great despair, with the lack of basic health infrastructure and support services, compounded with the ever increasing number of old people , chronic diseases and the manifestation of new communicable disease such as the ongoing Severe Acute Respiratory Syndrome- Coronavirus Disease 2019 (SARS-CoV-2, 2019 or COVID-19) pandemic. The massive healthcare disruption cause by the pandemic with respect to the management modality such as social distance and contact tracing re-affirm the importance of adopting the electronic health system in developing countries. This evolutionary trend in Information and Communication Technology (ICT) with the advancement in eHealth is changing the face of health care system globally by bringing healthcare closer to the people in term of cost, accessibility and planning. Despite the well documented benefits of eHealth, the knowledge and the level of adoption of these technologies in most developing countries such as Lesotho is nothing to ride home about (still remains very low). The management of Covid-19 patients has proven that healthcare is not confined; but a structured global system, with people travelling long distances than ever before. Objective: The objective of this article therefore, is aimed at evaluating the state and the level of Electronic Health (e-Health) and its adoption in the management of Covid-19 pandemic outbreak, and to also provide the authorities with information on the importance e-Health technology in this 21 century. The paper therefore reveal that, the level of e-Health in developing country like Lesotho, is still very low, due to lack of political commitment in the provision of needed infrastructure support structures.

On contact tracing in COVID-19 (SARS-CoV-2) pandemic using lowest common ancestor in m-ary data aggregation tree in the fog-computing enhanced internet of things

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ab Rouf Khan ◽  
Mohammad Ahsan Chishti
Keyword(s):  
Health Care ◽  
Internet Of Things ◽  
Data Aggregation ◽  
Common Ancestor ◽  
Fog Computing ◽  
Contact Tracing ◽  
Social Implications ◽  
Content Type ◽  
Lowest Common Ancestor ◽  
Aggregation Tree

Purpose The purpose of this study is to exploit the lowest common ancestor technique in an m-ary data aggregation tree in the fog computing-enhanced IoT to assist in contact tracing in COVID-19. One of the promising characteristics of the Internet of Things (IoT) that can be used to save the world from the current crisis of COVID-19 pandemic is data aggregation. As the number of patients infected by the disease is already huge, the data related to the different attributes of patients such as patient thermal image record and the previous health record of the patient is going to be gigantic. The authors used the technique of data aggregation to efficiently aggregate the sensed data from the patients and analyse it. Among the various inferences drawn from the aggregated data, one of the most important is contact tracing. Contact tracing in COVID-19 deals with finding out a person or a group of persons who have infected or were infected by the disease. Design/methodology/approach The authors propose to exploit the technique of lowest common ancestor in an m-ary data aggregation tree in the Fog-Computing enhanced IoT to help the health-care experts in contact tracing in a particular region or community. In this research, the authors argue the current scenario of COVID-19 pandemic, finding the person or a group of persons who has/have infected a group of people is of extreme importance. Finding the individuals who have been infected or are infecting others can stop the pandemic from worsening by stopping the community transfer. In a community where the outbreak has spiked, the samples from either all the persons or the patients showing the symptoms are collected and stored in an m-ary tree-based structure sorted over time. Findings Contact tracing in COVID-19 deals with finding out a person or a group of persons who have infected or were infected by the disease. The authors exploited the technique of lowest common ancestor in an m-ary data aggregation tree in the fog-computing-enhanced IoT to help the health-care experts in contact tracing in a particular region or community. The simulations were carried randomly on a set of individuals. The proposed algorithm given in Algorithm 1 is executed on the samples collected at level-0 of the simulation model, and to aggregate the data and transmit the data, the authors implement Algorithm 2 at the level-1. It is found from the results that a carrier can be easily identified from the samples collected using the approach designed in the paper. Practical implications The work presented in the paper can aid the health-care experts fighting the COVID-19 pandemic by reducing the community transfer with efficient contact tracing mechanism proposed in the paper. Social implications Fighting COVID-19 efficiently and saving the humans from the pandemic has huge social implications in the current times of crisis. Originality/value To the best of the authors’ knowledge, the lowest common ancestor technique in m-ary data aggregation tree in the fog computing-enhanced IoT to contact trace the individuals who have infected or were infected during the transmission of COVID-19 is first of its kind proposed. Creating a graph or an m-ary tree based on the interactions/connections between the people in a particular community like location, friends and time, the authors can attempt to traverse it to find out who infected any two persons or a group of persons or was infected by exploiting the technique of finding out the lowest common ancestor in a m-ary tree.

Pelaksanaan Jaminan Kesehatan Oleh BPJS Kesehatan Dalam Perspektif Syariah

Liquidity ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 110-118
Author(s):  
Iwan Subandi ◽  
Fathurrahman Djamil
Keyword(s):  
Health Care ◽  
Financial Institution ◽  
Social Supports ◽  
Religious Leaders ◽  
The Public ◽  
The People ◽  
The Social ◽  
Ministry Of Finance ◽  
Health Support ◽  
The Government

Health is the basic right for everybody, therefore every citizen is entitled to get the health care. In enforcing the regulation for Jaringan Kesehatan Nasional (National Health Supports), it is heavily influenced by the foreign interests. Economically, this program does not reduce the people’s burdens, on the contrary, it will increase them. This means the health supports in which should place the government as the guarantor of the public health, but the people themselves that should pay for the health care. In the realization of the health support the are elements against the Syariah principles. Indonesian Muslim Religious Leaders (MUI) only say that the BPJS Kesehatan (Sosial Support Institution for Health) does not conform with the syariah. The society is asked to register and continue the participation in the program of Social Supports Institution for Health. The best solution is to enforce the mechanism which is in accordance with the syariah principles. The establishment of BPJS based on syariah has to be carried out in cooperation from the elements of Social Supports Institution (BPJS), Indonesian Muslim Religious (MUI), Financial Institution Authorities, National Social Supports Council, Ministry of Health, and Ministry of Finance. Accordingly, the Social Supports Institution for Helath (BPJS Kesehatan) based on syariah principles could be obtained and could became the solution of the polemics in the society.

The Development of Intelligence Walking Stick for Elderly Health Care using IoT

2020 ◽  
Vol 9 (5) ◽  
pp. 1334-1338
Keyword(s):  
Health Care ◽  
Daily Living ◽  
The Elderly ◽  
Mean Value ◽  
Real Time System ◽  
Pressure Oxygen ◽  
Elderly Health ◽  
The Mean ◽  
Iot Devices ◽  
Walking Stick

Nowadays, Thailand is stepping into an aging society. This research purposes developing the intelligence walking stick for the elderly in terms of the health care system by applied the IoT devices and biometric sensors in a real-time system. The heart rate, blood pressure, oxygen saturation, and temperature were measured at the finger of the elderly that holding the intelligence walking stick. All data can monitor and display on mobile devices. The intelligence walking stick system was evaluated by twenty users who are five experts and fifteen elderly in Ratchaburi province. As a result of the mean value at 4.88 and 4.85 by experts and elderly, respectively. It could be said that the development of intelligence walking stick by using IoT can help and improve the daily living of the elderly at the highest level.

“PHONE-CONNECT” - A Pilot Program Prescribing Phones to Address Digital Health Equity Needs in the COVID-19 Era (Preprint)

2020 ◽  
Author(s):  
Gill Kazevman ◽  
Marck Mercado ◽  
Jennifer Hulme ◽  
Andrea Somers
Keyword(s):  
Public Health ◽  
Health Care ◽  
Social Services ◽  
Access To Health Care ◽  
Health Care Services ◽  
Point Of Care ◽  
Digital Health ◽  
Contact Tracing ◽  
Health Care Intervention ◽  
Care Intervention

UNSTRUCTURED Vulnerable populations have been identified as having higher infection rates and poorer COVID-19 related outcomes, likely due to their inability to readily access primary care, follow public health directives and adhere to self-isolation guidelines. As a response to the COVID-19 pandemic, many health care services have adopted new digital solutions, relying on phone and internet connectivity. Yet, persons who are digitally inaccessible, such as those struggling with poverty or homelessness, are often unable to utilize these services. In response to this newly highlighted social disparity known as “digital health inequity”, emergency physicians at the University Health Network, Toronto, initiated a program called “PHONE CONNECT”. This novel approach attempts to improve patients’ access to health care, information and social services, as well as improve their ability to adhere to public health directives (social isolation and contact tracing). While similar programs addressing the same emerging issues have been recently described in the media, this is the first time phones are provided as a health care intervention in an emergency department. This innovative ED point-of-care intervention may have a significant impact on improving the health outcomes for vulnerable people during the COVID-19 pandemic, and even beyond it.

An Epidemiological Analysis of COVID-19 Confirmed Cases, Reported at National Institute of Health, Pakistan (Preprint)

2020 ◽  
Author(s):  
Ambreen Chaudhry
Keyword(s):  
Age Groups ◽  
Target Population ◽  
Control Measures ◽  
Contact Tracing ◽  
Bivariate Analysis ◽  
Travel History ◽  
Disease Epidemiology ◽  
Hygiene Practices ◽  
Multi Center Study ◽  
Epidemiological Characteristics

BACKGROUND Coronavirus disease (Covid-19) is a zoonotic disease of novel origin that posed a continuous threat to health worldwide after taking the shape of the pandemic. An understanding of disease epidemiology is supportive in timely preventive and control measures as well as contact tracing and curbing surveillance activities. OBJECTIVE The objective of our study was to determine the epidemiological characteristics of COVID-19 confirmed cases reported at the National Institute of Health Pakistan and elements of its spread in Pakistan. METHODS A retrospective record review was conducted at the National Institute of Health (NIH) Islamabad, Pakistan from January 25 to April 4, 2020. Univariate and bivariate analysis was done with 95% CI and p<0.05. RESULTS A total of 14,422 samples of suspected COVID-19 cases were received with a positivity rate of 9% (n=1348). Among all 70% (n=939) were male. The median age was 41years of age (range: 01-99Years). Among all, 19% were from 30-39 years old followed by 50-59 years old (17%). Children remained the least affected by 3% (n=35). Of the total reported cases, 55% (n=735) have reported the travel history within the last 14 days. Among these travelers’ international travelers were 23% (n=166) and domestic travelers were 77% (n=569). Travel history including both international and domestic remained significantly associated with the different age groups and Young adults remained more vulnerable to COVID-19 (P=0.03). Fever, SOB, and Cough remained the most significantly associated (P<0.05) in all age groups. CONCLUSIONS A higher incidence of COVID-19 among elderly men suggests robust quarantine measures for this target population. An escalating incidence of local transmission needs strict social distancing and hygiene practices to help flatten the curve. An extensive multi-center study is also recommended for a full understanding of disease dynamics.

scholarly journals Symbiosis with artificial intelligence via the prism of law, robots, and society

2021 ◽  
Author(s):  
Stamatis Karnouskos
Keyword(s):  
Artificial Intelligence ◽  
Social Economic ◽  
Autonomous Robots ◽  
Law And Society ◽  
Citizenship Rights ◽  
Legal Entity ◽  
Profound Impact ◽  
The People ◽  
Physical Presence ◽  
And Robotics

AbstractThe rapid advances in Artificial Intelligence and Robotics will have a profound impact on society as they will interfere with the people and their interactions. Intelligent autonomous robots, independent if they are humanoid/anthropomorphic or not, will have a physical presence, make autonomous decisions, and interact with all stakeholders in the society, in yet unforeseen manners. The symbiosis with such sophisticated robots may lead to a fundamental civilizational shift, with far-reaching effects as philosophical, legal, and societal questions on consciousness, citizenship, rights, and legal entity of robots are raised. The aim of this work is to understand the broad scope of potential issues pertaining to law and society through the investigation of the interplay of law, robots, and society via different angles such as law, social, economic, gender, and ethical perspectives. The results make it evident that in an era of symbiosis with intelligent autonomous robots, the law systems, as well as society, are not prepared for their prevalence. Therefore, it is now the time to start a multi-disciplinary stakeholder discussion and derive the necessary policies, frameworks, and roadmaps for the most eminent issues.

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