• 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.

Surveillance of influenza from household to community in Taiwan

tetano

Editor, Senior Moderator
Trans R Soc Trop Med Hyg. 2014 Apr;108(4):213-20. doi: 10.1093/trstmh/tru023.
Surveillance of influenza from household to community in Taiwan.
Hsu CY1, Yen AM, Chen LS, Chen HH.
Author information
Abstract
BACKGROUND:

We propose a chain binomial model to elucidate the transmission modes of influenza within households and with which to further evaluate the spread of influenza in a community.
METHODS:

Data on the surveillance of influenza in Taiwan were collected from July 2001 to March 2002. A series of chain binomial models were fitted to estimate the escape probability. This parameter together with accumulated cases of the first episode were further applied to derive the transmission probability, the contact rate and the recovery rate, yielding an estimate of the basic reproductive number and providing a simulation approach with which to assess the spread of influenza in the community.
RESULTS:

Of the 6 391 614 cases identified during the study period, 4 451 046 were from 3 654 320 households consisting of two to five people, with at least one case used to estimate the escape probabilities within households. The escape probability within households was 92.4%, which, in turn, led to a contact rate estimate of 7.7 per day. The transmission probability was estimated as 8.3%. These three parameters yielded 2.56 as the basic reproductive number.
CONCLUSIONS:

The proposed method provides a means for using household data to evaluate the transmissibility of influenza within a community.
KEYWORDS:

Basic reproductive number, Chain binomial model, Household, Influenza, SIR model, Taiwan

PMID:
24627426
[PubMed - in process]

http://www.ncbi.nlm.nih.gov/pubmed/24627426
 
Back
Top Bottom