Sistemas de informaci\'on de salud en contextos extremos: Uso de tel\'efonos m\'oviles para combatir el sida en Uganda

• URL: http://arxiv.org/abs/2403.06076v1
• Date: Sun, 10 Mar 2024 03:44:16 GMT
• Title: Sistemas de informaci\'on de salud en contextos extremos: Uso de tel\'efonos m\'oviles para combatir el sida en Uganda
• Authors: Livingstone Njuba (1 and 2), Juan E. G\'omez-Morantes (3), Andrea Herrera (4), Sonia Camacho (4) ((1) Kalangala Infrastructure Services Ltd., (2) University of Manchester, (3) Pontificia Universidad Javeriana, (4) Universidad de los Andes)
• Abstract summary: This paper studies an m-health system for HIV patients in the Kalangala region of Uganda. It shows that the rich interaction between social context and technology should be considered a central concern when designing or deploying such systems.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: The HIV/AIDS pandemic is a global issue that has unequally affected several countries. Due to the complexity of this condition and the human drama it represents to those most affected by it, several fields have contributed to solving or at least alleviating this situation, and the information systems (IS) field has not been absent from these efforts. With the importance of antiretroviral therapy (ART) as a starting point, several initiatives in the IS field have focused on ways to improve the adherence and effectiveness of this therapy: mobile phone reminders (for pill intake and appointments), and mobile interfaces between patients and health workers are popular contributions. However, many of these solutions have been difficult to implement or deploy in some countries in the Global South, which are among the most affected by this pandemic. This paper presents one such case. Using a case-study approach with an extreme-case selection technique, the paper studies an m-health system for HIV patients in the Kalangala region of Uganda. Using Heeks' design-reality gap model for data analysis, the paper shows that the rich interaction between social context and technology should be considered a central concern when designing or deploying such systems.

Related papers

• Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration [54.76511683427566]
  This research introduces a novel multimodal method for classifying skin lesions, integrating smartphone-captured images with essential clinical and demographic information. A distinctive aspect of this method is the integration of an auxiliary task focused on super-resolution image prediction. The experimental evaluations have been conducted using the PAD-UFES20 dataset, applying various deep-learning architectures.
  arXiv  Detail & Related papers  (2024-02-16T05:16:20Z)
• A Contribution to COVID-19 Prevention through Crowd Collaboration using Conversational AI & Social Platforms [0.9674544640949528]
  We conducted a large-scale digital social experiment using conversational AI and social platforms from an info-epidemiology and an infoveillance perspective. This paper shows that deciding a prevention measure that maximizes the probability of finding the ground truth is intrinsically difficult without utilizing the support of an AI-enabled discussion systems.
  arXiv  Detail & Related papers  (2021-06-09T04:46:42Z)
• COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments [2.05040847923906]
  coronavirus disease 2019 (COVID-19) is a severe global pandemic that has claimed millions of lives and continues to overwhelm public health systems. To increase the effectiveness of contact tracing, countries across the globe are leveraging advancements in mobile technology and Internet of Things.
  arXiv  Detail & Related papers  (2021-02-25T10:18:40Z)
• How Fragmentation Can Undermine the Public Health Response to COVID-19 [0.5076419064097732]
  Many assumed that the common manual process of human investigators and phone calls could or should be replaced by digital solutions. fragmentation in system design and user experience can negatively impact the public health response. This article briefly covers the journey of how contact tracing registers and digital diaries evolved in New Zealand during the COVID-19 pandemic.
  arXiv  Detail & Related papers  (2020-09-14T09:16:12Z)
• The Adoption of ICT Powered Healthcare Technologies towards Managing Global Pandemics [1.7587442088965224]
  This paper surveys and offers substantial knowledge about how effective ICT Healthcare strategy can be used to manage global pandemics. We discuss how ICT powered technologies can be used towards managing a pandemic during the transformation of simple disease outbreak into a global pandemic.
  arXiv  Detail & Related papers  (2020-09-12T03:21:09Z)
• The Past, Present, and Future of COVID-19: A Data-Driven Perspective [4.373183416616983]
  We report results on our development and deployment of a web-based integrated real-time operational dashboard as an important decision support system for COVID-19. We conducted data-driven analysis based on available data from diverse authenticated sources to predict upcoming consequences of the pandemic. We also explored correlations between pandemic spread and important socio-economic and environmental factors.
  arXiv  Detail & Related papers  (2020-08-12T19:03:57Z)
• CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19 [111.69190108272133]
  The coronavirus disease 2019 poses the threat of overwhelming healthcare systems with unprecedented demands for intensive care resources. We developed the COVID-19 Capacity Planning and Analysis System (CPAS) - a machine learning-based system for hospital resource planning. CPAS is one of the first machine learning-based systems to be deployed in hospitals on a national scale to address the COVID-19 pandemic.
  arXiv  Detail & Related papers  (2020-07-27T19:39:13Z)
• Effectiveness and Compliance to Social Distancing During COVID-19 [72.94965109944707]
  We use a detailed set of mobility data to evaluate the impact that stay-at-home orders had on the spread of COVID-19 in the US. We show that there is a unidirectional Granger causality, from the median percentage of time spent daily at home to the daily number of COVID-19-related deaths with a lag of 2 weeks.
  arXiv  Detail & Related papers  (2020-06-23T03:36:19Z)
• COVI White Paper [67.04578448931741]
  Contact tracing is an essential tool to change the course of the Covid-19 pandemic. We present an overview of the rationale, design, ethical considerations and privacy strategy of COVI,' a Covid-19 public peer-to-peer contact tracing and risk awareness mobile application developed in Canada.
  arXiv  Detail & Related papers  (2020-05-18T07:40:49Z)
• 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)
• Mapping the Landscape of Artificial Intelligence Applications against COVID-19 [59.30734371401316]
  COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization. We present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence to tackle many aspects of the COVID-19 crisis.
  arXiv  Detail & Related papers  (2020-03-25T12:30:33Z)

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.