Selected article for: "co infection and time period"
Author: Lindsay Meyers; Christine C. Ginocchio; Aimie N. Faucett; Frederick S. Nolte; Per H. Gesteland; Amy Leber; Diane Janowiak; Virginia Donovan; Jennifer Dien Bard; Silvia Spitzer; Kathleen A. Stellrecht; Hossein Salimnia; Rangaraj Selvarangan; Stefan Juretschko; Judy A. Daly; Jeremy C. Wallentine; Kristy Lindsey; Franklin Moore; Sharon L. Reed; Maria Aguero-Rosenfeld; Paul D. Fey; Gregory A. Storch; Steve J. Melnick; Christine C. Robinson; Jennifer F. Meredith; Camille V. Cook; Robert K. Nelson; Jay D. Jones; Samuel V. Scarpino; Benjamin M. Althouse; Kirk M. Ririe; Bradley A. Malin; Mark A. Poritz
Title: Automated collection of pathogen-specific diagnostic data for real-time syndromic epidemiological studies
  • Document date: 2017_7_31
    • ID: iisqysqm_58
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. S i t e s u s e d i n t h e P i l o t T r e n d p r o j e c t : The clinical laboratory sites participating in the pilot Trend project are shown in Table 3 . The HHS regions are as defined by the CDC [5] . 605 Conceptually, MIE is an attempt to estimate the likelihood that a patient infected with one organism may be infected w.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. S i t e s u s e d i n t h e P i l o t T r e n d p r o j e c t : The clinical laboratory sites participating in the pilot Trend project are shown in Table 3 . The HHS regions are as defined by the CDC [5] . 605 Conceptually, MIE is an attempt to estimate the likelihood that a patient infected with one organism may be infected with another unique organism circulating in the population at a given period in time, resulting in a co-infection.

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