• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

A Method for Estimating from Thermometer Sales the Incidence of Diseases that are Symptomatically Similar to Influenza

tetano

Editor, Senior Moderator
J Biomed Inform. 2013 Mar 8. pii: S1532-0464(13)00032-4. doi: 10.1016/j.jbi.2013.02.003. [Epub ahead of print]
A Method for Estimating from Thermometer Sales the Incidence of Diseases that are Symptomatically Similar to Influenza.
Villamar?n R, Cooper G, Wagner M, Tsui FC, Espino JU.
Source

Center for Advanced Study of Informatics in Public Health, Department of Biomedical InformaticsUniversity of Pittsburgh, Pittsburgh, PA, USA. Electronic address: ricardo.villamarin@alumni.pitt.edu.
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. Published by Elsevier Inc.

PMID:
23501015
[PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/23501015
 
Back
Top Bottom