Literature DB >> 23501015

A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza.

Ricardo Villamarín1, Gregory Cooper, Michael Wagner, Fu-Chiang Tsui, Jeremy U Espino.   

Abstract

Early detection and accurate characterization of disease outbreaks are important tasks of public health. Infectious diseases that present symptomatically like influenza (SLI), including influenza itself, constitute an important class of diseases that are monitored by public-health epidemiologists. Monitoring emergency department (ED) visits for presentations of SLI could provide an early indication of the presence, extent, and dynamics of such disease in the population. We investigated the use of daily over-the-counter thermometer-sales data to estimate daily ED SLI counts in Allegheny County (AC), Pennsylvania. We found that a simple linear model fits the data well in predicting daily ED SLI counts from daily counts of thermometer sales in AC. These results raise the possibility that this model could be applied, perhaps with adaptation, in other regions of the country, where commonly thermometer sales data are available, but daily ED SLI counts are not.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23501015      PMCID: PMC4609543          DOI: 10.1016/j.jbi.2013.02.003

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  8 in total

1.  Design of a national retail data monitor for public health surveillance.

Authors:  Michael M Wagner; J Michael Robinson; Fu-Chiang Tsui; Jeremy U Espino; William R Hogan
Journal:  J Am Med Inform Assoc       Date:  2003-06-04       Impact factor: 4.497

2.  How many illnesses does one emergency department visit represent? Using a population-based telephone survey to estimate the syndromic multiplier.

Authors:  Kristina B Metzger; A Hajat; M Crawford; F Mostashari
Journal:  MMWR Suppl       Date:  2004-09-24

3.  Monitoring over-the-counter medication sales for early detection of disease outbreaks--New York City.

Authors:  Debjani Das; K Metzger; R Heffernan; S Balter; D Weiss; F Mostashari
Journal:  MMWR Suppl       Date:  2005-08-26

4.  Visits by adults to family physicians for the common cold.

Authors:  W J McIsaac; N Levine; V Goel
Journal:  J Fam Pract       Date:  1998-11       Impact factor: 0.493

5.  Seroprevalence Following the Second Wave of Pandemic 2009 H1N1 Influenza.

Authors:  Ted Ross; Shanta Zimmer; Don Burke; Corey Crevar; Donald Carter; James Stark; Brendan Giles; Richard Zimmerman; Stephen Ostroff; Bruce Lee
Journal:  PLoS Curr       Date:  2010-02-24

6.  The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis.

Authors:  Anne M Presanis; Daniela De Angelis; Angela Hagy; Carrie Reed; Steven Riley; Ben S Cooper; Lyn Finelli; Paul Biedrzycki; Marc Lipsitch
Journal:  PLoS Med       Date:  2009-12-08       Impact factor: 11.069

7.  Detecting influenza epidemics using search engine query data.

Authors:  Jeremy Ginsberg; Matthew H Mohebbi; Rajan S Patel; Lynnette Brammer; Mark S Smolinski; Larry Brilliant
Journal:  Nature       Date:  2009-02-19       Impact factor: 49.962

8.  Estimates of the prevalence of pandemic (H1N1) 2009, United States, April-July 2009.

Authors:  Carrie Reed; Frederick J Angulo; David L Swerdlow; Marc Lipsitch; Martin I Meltzer; Daniel Jernigan; Lyn Finelli
Journal:  Emerg Infect Dis       Date:  2009-12       Impact factor: 6.883

  8 in total
  1 in total

1.  A method for detecting and characterizing outbreaks of infectious disease from clinical reports.

Authors:  Gregory F Cooper; Ricardo Villamarin; Fu-Chiang Rich Tsui; Nicholas Millett; Jeremy U Espino; Michael M Wagner
Journal:  J Biomed Inform       Date:  2014-08-30       Impact factor: 6.317

  1 in total

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