Selected article for: "clinical feature and endemic context"
Author: Emma E Glennon; Freya L Jephcott; Alexandra Oti; Colin J Carlson; Fausto A Bustos Carillo; C Reed Hranac; Edyth Parker; James L N Wood; Olivier Restif
Title: Syndromic detectability of haemorrhagic fever outbreaks
  • Document date: 2020_3_31
    • ID: 1ecdj314_8
    Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.03.28.20019463 doi: medRxiv preprint ( Fig. 4-B) . while we were frequently able to predict the true aetiology from limited dengue and malaria 285 outbreak data, performance was less accurate for typhoid fever. Given more outbreak data-286 in terms of quantity, syndromes represented, and consistency of clinical feature reporting-287 we expect to be able to improve the sensitivi.....
    Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.03.28.20019463 doi: medRxiv preprint ( Fig. 4-B) . while we were frequently able to predict the true aetiology from limited dengue and malaria 285 outbreak data, performance was less accurate for typhoid fever. Given more outbreak data-286 in terms of quantity, syndromes represented, and consistency of clinical feature reporting-287 we expect to be able to improve the sensitivity, specificity, and accuracy of the algorithm for 288 categorising real outbreak data. As is, however, our mechanistic approach still enables strong 289 insights into the relationships among outbreak detection, case definitions and the values of 290 clinical features for disease identification, and local endemic context. 291 292 A central challenge to developing this approach has been the lack of standardised clinical 293 data, especially given the high dimensionality of our model. For example, we have been 294 unable to gather comparable data on non-communicable diseases or toxic aetiologies. 295

    Search related documents:
    Co phrase search for related documents
    • accuracy specificity and approach develop: 1, 2
    • accuracy specificity and case definition: 1, 2, 3, 4, 5
    • accuracy specificity and clinical feature: 1
    • accuracy specificity and disease identification: 1, 2, 3, 4
    • accuracy specificity and high dimensionality: 1
    • accuracy specificity sensitivity and algorithm accuracy specificity sensitivity: 1, 2, 3, 4, 5
    • accuracy specificity sensitivity and approach develop: 1, 2
    • accuracy specificity sensitivity and case definition: 1, 2, 3, 4
    • accuracy specificity sensitivity and clinical feature: 1
    • accuracy specificity sensitivity and disease identification: 1, 2, 3
    • accuracy specificity sensitivity and high dimensionality: 1
    • approach develop and disease identification: 1
    • approach develop and mechanistic approach: 1, 2, 3, 4, 5
    • case definition and clinical feature: 1
    • clinical feature and disease identification: 1, 2
    • endemic context and local endemic context: 1, 2