LesterPaigeChapmanEtAl2016

Référence

Lester, J., Paige, S., Chapman, C.A., Gibson, M., Jones, J.H., Switzer, W.M., Ting, N., Goldberg, T.L. and Frost, S.D.W. (2016) Assessing commitment and reporting fidelity to a text message-based participatory surveillance in rural Western Uganda. PLoS ONE, 11(6). (Scopus )

Résumé

Syndromic surveillance, the collection of symptom data from individuals prior to or in the absence of diagnosis, is used throughout the developed world to provide rapid indications of outbreaks and unusual patterns of disease. However, the low cost of syndromic surveillance also makes it highly attractive for the developing world. We present a case study of electronic participatory syndromic surveillance, using participant-mobile phones in a rural region of Western Uganda, which has a high infectious disease burden, and frequent local and regional outbreaks. Our platform uses text messages to encode a suite of symptoms, their associated durations, and household disease burden, and we explore the ability of participants to correctly encode their symptoms, with an average of 75.2% of symptom reports correctly formatted between the second and 11th reporting timeslots. Concomitantly we identify divisions between participants able to rapidly adjust to this unusually participatory style of data collection, and those few for whom the study proved more challenging. We then perform analyses of the resulting syndromic time series, examining the clustering of symptoms by time and household to identify patterns such as a tendency towards the within-household sharing of respiratory illness. © 2016, Public Library of Science. All rights reserved. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

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@ARTICLE { LesterPaigeChapmanEtAl2016,
    AUTHOR = { Lester, J. and Paige, S. and Chapman, C.A. and Gibson, M. and Jones, J.H. and Switzer, W.M. and Ting, N. and Goldberg, T.L. and Frost, S.D.W. },
    TITLE = { Assessing commitment and reporting fidelity to a text message-based participatory surveillance in rural Western Uganda },
    JOURNAL = { PLoS ONE },
    YEAR = { 2016 },
    VOLUME = { 11 },
    NUMBER = { 6 },
    NOTE = { cited By 0 },
    ABSTRACT = { Syndromic surveillance, the collection of symptom data from individuals prior to or in the absence of diagnosis, is used throughout the developed world to provide rapid indications of outbreaks and unusual patterns of disease. However, the low cost of syndromic surveillance also makes it highly attractive for the developing world. We present a case study of electronic participatory syndromic surveillance, using participant-mobile phones in a rural region of Western Uganda, which has a high infectious disease burden, and frequent local and regional outbreaks. Our platform uses text messages to encode a suite of symptoms, their associated durations, and household disease burden, and we explore the ability of participants to correctly encode their symptoms, with an average of 75.2% of symptom reports correctly formatted between the second and 11th reporting timeslots. Concomitantly we identify divisions between participants able to rapidly adjust to this unusually participatory style of data collection, and those few for whom the study proved more challenging. We then perform analyses of the resulting syndromic time series, examining the clustering of symptoms by time and household to identify patterns such as a tendency towards the within-household sharing of respiratory illness. © 2016, Public Library of Science. All rights reserved. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. },
    ART_NUMBER = { e0155971 },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1371/journal.pone.0155971 },
    OWNER = { Luc },
    SOURCE = { Scopus },
    TIMESTAMP = { 2016.07.26 },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976336875&partnerID=40&md5=26e031e52be2659eade3e49ddba2d72d },
}

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