Systems and WBANs for controlling obesity
According to World Health Organization (WHO) estimations, one out of five adults worldwide
will be obese by 2025. Worldwide obesity has doubled since 1980. In fact, more than 1.9 …
will be obese by 2025. Worldwide obesity has doubled since 1980. In fact, more than 1.9 …
[HTML][HTML] Citizen-centered mobile health apps collecting individual-level spatial data for infectious disease management: scoping review
Background: The novel coronavirus SARS-CoV-2 rapidly spread around the world, causing
the disease COVID-19. To contain the virus, much hope is placed on participatory …
the disease COVID-19. To contain the virus, much hope is placed on participatory …
EPIC: efficient privacy-preserving contact tracing for infection detection
The world has experienced many epidemic diseases in the past, SARS, H1N1, and Ebola
are some examples of these diseases. When those diseases outbreak, they spread very …
are some examples of these diseases. When those diseases outbreak, they spread very …
A survey of automatic contact tracing approaches using Bluetooth Low Energy
L Reichert, S Brack, B Scheuermann - ACM transactions on Computing …, 2021 - dl.acm.org
To combat the ongoing Covid-19 pandemic, many new ways have been proposed on how to
automate the process of finding infected people, also called contact tracing. A special focus …
automate the process of finding infected people, also called contact tracing. A special focus …
Modeling epidemics spreading on social contact networks
Z Zhang, H Wang, C Wang… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Social contact networks and the way people interact with each other are the key factors that
impact on epidemics spreading. However, it is challenging to model the behavior of …
impact on epidemics spreading. However, it is challenging to model the behavior of …
Computation of infection risk via confidential locational entries: A precedent approach for contact tracing with privacy protection
J Ami, K Ishii, Y Sekimoto, H Masui, I Ohmukai… - Ieee …, 2021 - ieeexplore.ieee.org
To effectively mitigate the COVID-19 pandemic, various methods have been proposed to
control the infection risk using mobile phone technologies. In this respect, short-range …
control the infection risk using mobile phone technologies. In this respect, short-range …
Cluster-based epidemic control through smartphone-based body area networks
Z Zhang, H Wang, C Wang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Increasing population density, closer social contact and interactions make epidemic control
difficult. Traditional offline epidemic control methods (eg, using medical survey or medical …
difficult. Traditional offline epidemic control methods (eg, using medical survey or medical …
Modeling and analysis of epidemic spreading on community networks with heterogeneity
C Li, G Jiang, Y Song, L Xia, Y Li, B Song - Journal of parallel and …, 2018 - Elsevier
A large number of real world networks exhibit community structure, and different
communities may often possess heterogeneity. In this paper, considering the heterogeneity …
communities may often possess heterogeneity. In this paper, considering the heterogeneity …
Internet of things for epidemic detection: A critical review
S Kaushalya, K Kulawansa, MFM Firdhous - Advances in Computer …, 2019 - Springer
An epidemic is a spread of an infectious disease in a community or a region affecting a large
number of people. Prompt detection of epidemic outbreaks can help reduce the impact …
number of people. Prompt detection of epidemic outbreaks can help reduce the impact …
[PDF][PDF] 参与式感知隐私保护技术
曾菊儒， 陈红， 彭辉， 吴垚， 李翠平， 王珊 - 计算机学报, 2016 - cjc.ict.ac.cn
摘! 要! 移动智能终端正在成为人们日常生活的核心通信设备(参与式感知的隐私保护技术已成为
研究热点: 研究和解决数据以及位置隐私保护问题对参与式感知的大规模安全使用具有重要意义 …
研究热点: 研究和解决数据以及位置隐私保护问题对参与式感知的大规模安全使用具有重要意义 …