Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data

We introduce a method for estimating incidence curves of several co-circulating infectious pathogens, where each infection has its own probabilities of particular symptom profiles. Our deconvolution method utilizes weekly surveillance data on symptoms from a defined population as well as additional...

Descripción completa

Detalles Bibliográficos
Autores principales: Goldstein, Edward, Cowling, Benjamin J., Aiello, Allison E., Takahashi, Saki, King, Gary, Lu, Ying, Lipsitch, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160845/
https://www.ncbi.nlm.nih.gov/pubmed/21887246
http://dx.doi.org/10.1371/journal.pone.0023380
_version_ 1782210588737273856
author Goldstein, Edward
Cowling, Benjamin J.
Aiello, Allison E.
Takahashi, Saki
King, Gary
Lu, Ying
Lipsitch, Marc
author_facet Goldstein, Edward
Cowling, Benjamin J.
Aiello, Allison E.
Takahashi, Saki
King, Gary
Lu, Ying
Lipsitch, Marc
author_sort Goldstein, Edward
collection PubMed
description We introduce a method for estimating incidence curves of several co-circulating infectious pathogens, where each infection has its own probabilities of particular symptom profiles. Our deconvolution method utilizes weekly surveillance data on symptoms from a defined population as well as additional data on symptoms from a sample of virologically confirmed infectious episodes. We illustrate this method by numerical simulations and by using data from a survey conducted on the University of Michigan campus. Last, we describe the data needs to make such estimates accurate.
format Online
Article
Text
id pubmed-3160845
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-31608452011-09-01 Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data Goldstein, Edward Cowling, Benjamin J. Aiello, Allison E. Takahashi, Saki King, Gary Lu, Ying Lipsitch, Marc PLoS One Research Article We introduce a method for estimating incidence curves of several co-circulating infectious pathogens, where each infection has its own probabilities of particular symptom profiles. Our deconvolution method utilizes weekly surveillance data on symptoms from a defined population as well as additional data on symptoms from a sample of virologically confirmed infectious episodes. We illustrate this method by numerical simulations and by using data from a survey conducted on the University of Michigan campus. Last, we describe the data needs to make such estimates accurate. Public Library of Science 2011-08-24 /pmc/articles/PMC3160845/ /pubmed/21887246 http://dx.doi.org/10.1371/journal.pone.0023380 Text en Goldstein et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Goldstein, Edward
Cowling, Benjamin J.
Aiello, Allison E.
Takahashi, Saki
King, Gary
Lu, Ying
Lipsitch, Marc
Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data
title Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data
title_full Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data
title_fullStr Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data
title_full_unstemmed Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data
title_short Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data
title_sort estimating incidence curves of several infections using symptom surveillance data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160845/
https://www.ncbi.nlm.nih.gov/pubmed/21887246
http://dx.doi.org/10.1371/journal.pone.0023380
work_keys_str_mv AT goldsteinedward estimatingincidencecurvesofseveralinfectionsusingsymptomsurveillancedata
AT cowlingbenjaminj estimatingincidencecurvesofseveralinfectionsusingsymptomsurveillancedata
AT aielloallisone estimatingincidencecurvesofseveralinfectionsusingsymptomsurveillancedata
AT takahashisaki estimatingincidencecurvesofseveralinfectionsusingsymptomsurveillancedata
AT kinggary estimatingincidencecurvesofseveralinfectionsusingsymptomsurveillancedata
AT luying estimatingincidencecurvesofseveralinfectionsusingsymptomsurveillancedata
AT lipsitchmarc estimatingincidencecurvesofseveralinfectionsusingsymptomsurveillancedata

Ejemplares similares