research-article

iEpi: an end to end solution for collecting, conditioning and utilizing epidemiologically relevant data

Authors:

Mohammad Hashemian,

Jonathan Calver,

Michael. C. Bullock,

Regan L. Mandryk,

Nathaniel Osgood,

Kevin G. StanleyAuthors Info & Claims

MobileHealth '12: Proceedings of the 2nd ACM international workshop on Pervasive Wireless Healthcare

Pages 3 - 8

https://doi.org/10.1145/2248341.2248345

Published: 11 June 2012 Publication History

Abstract

Smartphones have the potential to revolutionize health monitoring and delivery. Significant attention has been given to personal health devices and systems to help individuals and medical practitioners monitor health and treatment compliance. The data collected from these systems also has significant value to public health workers and epidemiologists. However, requirements for backend analysis and supplemental data differ between personal and public health applications. In this paper we describe iEpi, an end-to-end system for collecting, analyzing, and utilizing contextual microdata through smartphones for epidemiological and public health applications.

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Cited By

Qian WStanley KOsgood N(2023)Impacts of observation frequency on proximity contact data and modeled transmission dynamicsPLOS Computational Biology10.1371/journal.pcbi.101091719:2(e1010917)Online publication date: 27-Feb-2023
https://doi.org/10.1371/journal.pcbi.1010917
Thierry BStanley KKestens YWinters MFuller D(2023)Comparing Location Data From Smartphone and Dedicated Global Positioning System Devices: Implications for Epidemiologic ResearchAmerican Journal of Epidemiology10.1093/aje/kwad176193:1(180-192)Online publication date: 29-Aug-2023
https://doi.org/10.1093/aje/kwad176
Qian WCooke AStanley KOsgood N(2022)Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: A Simulation-driven Approach (Preprint)Journal of Medical Internet Research10.2196/38170Online publication date: 1-Apr-2022
https://doi.org/10.2196/38170
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Index Terms

iEpi: an end to end solution for collecting, conditioning and utilizing epidemiologically relevant data
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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Published In

cover image ACM Conferences

MobileHealth '12: Proceedings of the 2nd ACM international workshop on Pervasive Wireless Healthcare

June 2012

64 pages

ISBN:9781450312929

DOI:10.1145/2248341

General Chairs:
Saadi Boudjit
University of Paris 13, France
,
Anis Laouiti
Telecom SudParis, France

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 June 2012

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MobiHoc '12

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SIGMOBILE

MobiHoc '12: The Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing

June 11, 2012

South Carolina, Hilton Head, USA

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Cited By

Qian WStanley KOsgood N(2023)Impacts of observation frequency on proximity contact data and modeled transmission dynamicsPLOS Computational Biology10.1371/journal.pcbi.101091719:2(e1010917)Online publication date: 27-Feb-2023
https://doi.org/10.1371/journal.pcbi.1010917
Thierry BStanley KKestens YWinters MFuller D(2023)Comparing Location Data From Smartphone and Dedicated Global Positioning System Devices: Implications for Epidemiologic ResearchAmerican Journal of Epidemiology10.1093/aje/kwad176193:1(180-192)Online publication date: 29-Aug-2023
https://doi.org/10.1093/aje/kwad176
Qian WCooke AStanley KOsgood N(2022)Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: A Simulation-driven Approach (Preprint)Journal of Medical Internet Research10.2196/38170Online publication date: 1-Apr-2022
https://doi.org/10.2196/38170
Voukelatou VGabrielli LMiliou ICresci SSharma RTesconi MPappalardo L(2020)Measuring objective and subjective well-being: dimensions and data sourcesInternational Journal of Data Science and Analytics10.1007/s41060-020-00224-211:4(279-309)Online publication date: 29-Jun-2020
https://doi.org/10.1007/s41060-020-00224-2
SEITZINGER POSGOOD NMARTIN WTATARYN JWALDNER C(2019)Compliance Rates, Advantages, and Drawbacks of a Smartphone-Based Method of Collecting Food History and Foodborne Illness DataJournal of Food Protection10.4315/0362-028X.JFP-18-54782:6(1061-1070)Online publication date: 24-May-2019
https://doi.org/10.4315/0362-028X.JFP-18-547
Fragoso LPaul TVadan FStanley KBell SOsgood N(2019)Intrinsic dimensionality of human behavioral activity dataPLOS ONE10.1371/journal.pone.021896614:6(e0218966)Online publication date: 27-Jun-2019
https://doi.org/10.1371/journal.pone.0218966
Zhang RStanley KBell SFuller DBanaei-Kashani FHoel EGüting RTamassia RXiong L(2018)A feature set for spatial behavior characterizationProceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3274895.3274973(512-515)Online publication date: 6-Nov-2018
https://dl.acm.org/doi/10.1145/3274895.3274973
Zhang ZLi JZhang QWu KNing NYu Q(2018)A Dynamic Tracking Algorithm Based SAR ADC in Bio-Related ApplicationsIEEE Access10.1109/ACCESS.2018.28765576(62166-62173)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2876557
Barlacchi GPerentis CMehrotra AMusolesi MLepri B(2017)Are you getting sick? Predicting influenza-like symptoms using human mobility behaviorsEPJ Data Science10.1140/epjds/s13688-017-0124-66:1Online publication date: 24-Oct-2017
https://doi.org/10.1140/epjds/s13688-017-0124-6
Shojaati NAndkhoie MOsemwegie OOsgood N(2017)MRSA Transmission in a Personal Care Home Facility: A Spatially Explicit Agent Based Modeling Approach2017 IEEE International Conference on Healthcare Informatics (ICHI)10.1109/ICHI.2017.36(368-373)Online publication date: Aug-2017
https://doi.org/10.1109/ICHI.2017.36
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