An Initial Study Review of Designing a Technology Solution for Women in Technologically Deprived Areas or Low Resource Constraint Communities

• URL: http://arxiv.org/abs/2406.11186v1
• Date: Mon, 17 Jun 2024 03:48:46 GMT
• Title: An Initial Study Review of Designing a Technology Solution for Women in Technologically Deprived Areas or Low Resource Constraint Communities
• Authors: Jones Yeboah, Sophia Bampoh, Annu Sible Prabhakar,
• Abstract summary: depression is a significant issue affecting a large number of women in Ghana. Women's access to mobile phones is limited by cultural, social, and financial constraints. This paper reviews the potential of Unstructured Supplementary Service Data (USSD) technology to address these challenges.
• Score: 8.071064561132872
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In the West African country of Ghana, depression is a significant issue affecting a large number of women. Despite its importance, the issue received insufficient attention during the COVID-19 pandemic. In developed countries, mobile phones serve as a convenient medium for accessing health information and providers. However, in Ghana, women's access to mobile phones is limited by cultural, social, and financial constraints, hindering their ability to seek mental health information and support. While some women in deprived areas can afford feature phones, such as the Nokia 3310, the lack of advanced smartphone features further restricts their access to necessary health information. This paper reviews the potential of Unstructured Supplementary Service Data (USSD) technology to address these challenges. Unlike Short Messaging Service (SMS), USSD can facilitate data collection, complex transactions, and provide information access without the need for internet connectivity. This research proposes studying the use of USSD to improve access to mental health resources for resource-deprived women in Ghana.

Related papers

• Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions [51.43521977132062]
  Money laundering is a financial crime that obscures the origin of illicit funds. The proliferation of mobile payment platforms and smart IoT devices has significantly complicated anti-money laundering investigations. This paper conducts a comprehensive review of deep learning solutions and the challenges associated with their use in AML.
  arXiv  Detail & Related papers  (2025-03-13T05:19:44Z)
• "Who Has the Time?": Understanding Receptivity to Health Chatbots among Underserved Women in India [9.808660035903777]
  We conducted interviews and focus group discussions with underserved women in urban India. Our findings uncover gaps in digital access and realities, and perceived conflict with various responsibilities that women are burdened with.
  arXiv  Detail & Related papers  (2025-02-21T22:27:38Z)
• Viability of Mobile Forms for Population Health Surveys in Low Resource Areas [47.28991543521559]
  Population health surveys are an important tool to effectively allocate limited resources in low resource communities. Data thus collected is difficult to tabulate and analyze. We conducted a series of interviews and experiments in the Philippines to assess if mobile forms can be a viable and more efficient survey method.
  arXiv  Detail & Related papers  (2023-10-11T20:51:28Z)
• What We Know So Far: Artificial Intelligence in African Healthcare [0.0]
  Artificial intelligence (AI) applied to healthcare has the potential to transform healthcare in Africa. This paper reviews the current state of how AI Algorithms can be used to improve diagnostics, treatment, and disease monitoring. There is a need for a well-coordinated effort by the governments, private sector, healthcare providers, and international organizations to create sustainable AI solutions.
  arXiv  Detail & Related papers  (2023-05-10T19:27:40Z)
• Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning [55.653944436488786]
  According to the World health organization (WHO), approximately 450 million people are affected. Mental illnesses, such as depression, anxiety, bipolar disorder, ADHD, and PTSD. This study analyzes unstructured user data on Reddit platform and classifies five common mental illnesses: depression, anxiety, bipolar disorder, ADHD, and PTSD.
  arXiv  Detail & Related papers  (2022-07-03T11:33:52Z)
• Improved Healthcare Access in Low-resource Regions: A Review of Technological Solutions [0.0]
  We identify research and development works that have investigated technology-based healthcare innovations targeted at low-resource regions. We found three main pillars of work towards this end: low-cost hardware for the affordability of medical devices, use of information and communication technology (ICT) tools for scalability and operational efficiencies in healthcare services, and mobile health solutions. Several emerging technologies are also promising for healthcare in low-resource regions, such as artificial intelligence, the Internet of Things (IoT), and blockchain technology.
  arXiv  Detail & Related papers  (2022-05-22T19:36:18Z)
• Sustainable Development Through a Mobile Application for a Community Clinic [0.0]
  This paper investigates the question: How can technology and training interventions enable clinicians to offer care that addresses the socioeconomic limitations of their patients? This paper observes the implementation of a mobile app designed to offer people who cannot access health resources in Omaha, Nebraska, a city in the Midwestern United States.
  arXiv  Detail & Related papers  (2021-08-22T16:40:55Z)
• Internet-of-Things Devices and Assistive Technologies for Healthcare: Applications, Challenges, and Opportunities [5.8497361730688695]
  Hospitals and clinics no longer have the ability to accommodate large numbers of incoming patients. It is clear that the current state of the health industry needs to improve its valuable and limited resources. The evolution of the Internet of Things (IoT) devices along with assistive technologies can alleviate the problem in healthcare.
  arXiv  Detail & Related papers  (2021-07-11T12:18:12Z)
• Edge Intelligence for Empowering IoT-based Healthcare Systems [42.909808437026136]
  This article highlights the benefits of edge intelligent technology, along with AI in smart healthcare systems. A novel smart healthcare model is proposed to boost the utilization of AI and edge technology in smart healthcare systems.
  arXiv  Detail & Related papers  (2021-03-22T19:35:06Z)
• Assessing the Severity of Health States based on Social Media Posts [62.52087340582502]
  We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health state. The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.
  arXiv  Detail & Related papers  (2020-09-21T03:45:14Z)
• 5G Technologies Based Remote E-Health: Architecture, Applications, and Solutions [10.62762334548059]
  This article proposes a general architecture of the remote e-health, where the city hospital provides the technical supports and services for remote hospitals. 5G technologies supported telemedicine is introduced to satisfy the high-speed transmission of massive multimedia medical data. A broad area epidemic prevention and control scheme is also investigated, especially for the remote areas.
  arXiv  Detail & Related papers  (2020-09-04T12:09:41Z)
• When Wireless Communication Faces COVID-19: Combating the Pandemic and Saving the Economy [93.08344893433639]
  The year 2020 is experiencing a global health and economic crisis due to the COVID-19 pandemic. Countries across the world are using digital technologies to fight this global crisis. We show how these technologies are helping to combat this pandemic, including monitoring of the virus spread. We discuss the challenges faced by wireless technologies, including privacy, security, and misinformation.
  arXiv  Detail & Related papers  (2020-05-12T12:27:29Z)
• Digital Ariadne: Citizen Empowerment for Epidemic Control [55.41644538483948]
  The COVID-19 crisis represents the most dangerous threat to public health since the H1N1 pandemic of 1918. Technology-assisted location and contact tracing, if broadly adopted, may help limit the spread of infectious diseases. We present a tool, called 'diAry' or 'digital Ariadne', based on voluntary location and Bluetooth tracking on personal devices.
  arXiv  Detail & Related papers  (2020-04-16T15:53:42Z)
• Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements [55.33496599723126]
  disinformation including fake news has become a global phenomenon due to its explosive growth. Despite the recent progress in detecting disinformation and fake news, it is still non-trivial due to its complexity, diversity, multi-modality, and costs of fact-checking or annotation.
  arXiv  Detail & Related papers  (2020-01-02T21:01:02Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.