Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.

<h4>Background</h4>The traditional Serfling-type approach for influenza-like illness surveillance requires long historical time-series. We retrospectively evaluated the use of recent, short, historical time-series for recognizing the onset of community outbreaks of respiratory tract infe...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Alex Spanos, George Theocharis, Drosos E Karageorgopoulos, George Peppas, Dimitris Fouskakis, Matthew E Falagas
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fec8dfa9b67c44d2848269fcfddf76e4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fec8dfa9b67c44d2848269fcfddf76e4
record_format	dspace
spelling	oai:doaj.org-article:fec8dfa9b67c44d2848269fcfddf76e42021-11-18T07:09:23ZSurveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.1932-620310.1371/journal.pone.0040310https://doaj.org/article/fec8dfa9b67c44d2848269fcfddf76e42012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22905091/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>The traditional Serfling-type approach for influenza-like illness surveillance requires long historical time-series. We retrospectively evaluated the use of recent, short, historical time-series for recognizing the onset of community outbreaks of respiratory tract infections (RTIs).<h4>Methods</h4>The data used referred to the proportion of diagnoses for upper or lower RTIs to total diagnoses for house-call visits, performed by a private network of medical specialists (SOS Doctors) in the metropolitan area of Athens, Greece, between January 01, 2000 and October 12, 2008. The reference standard classification of the observations was obtained by generating epidemic thresholds after analyzing the full 9-year period. We evaluated two different alert generating methods [simple regression and cumulative sum (CUSUM), respectively], under a range of input parameters, using data for the previous running 4-6 week period. These methods were applied if the previous weeks contained non-aberrant observations.<h4>Results</h4>We found that the CUSUM model with a specific set of parameters performed marginally better than simple regression for both groups. The best results (sensitivity, specificity) for simple regression and CUSUM models for upper RTIs were (1.00, 0.82) and (0.94, 0.93) respectively. Corresponding results for lower RTIs were (1.00, 0.80) and (0.93, 0.91) respectively.<h4>Conclusions</h4>Short-term data for house-call visits can be used rather reliably to identify respiratory tract outbreaks in the community using simple regression and CUSUM methods. Such surveillance models could be particularly useful when a large historical database is either unavailable or inaccurate and, thus, traditional methods are not optimal.Alex SpanosGeorge TheocharisDrosos E KarageorgopoulosGeorge PeppasDimitris FouskakisMatthew E FalagasPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 8, p e40310 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alex Spanos George Theocharis Drosos E Karageorgopoulos George Peppas Dimitris Fouskakis Matthew E Falagas Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.
description	<h4>Background</h4>The traditional Serfling-type approach for influenza-like illness surveillance requires long historical time-series. We retrospectively evaluated the use of recent, short, historical time-series for recognizing the onset of community outbreaks of respiratory tract infections (RTIs).<h4>Methods</h4>The data used referred to the proportion of diagnoses for upper or lower RTIs to total diagnoses for house-call visits, performed by a private network of medical specialists (SOS Doctors) in the metropolitan area of Athens, Greece, between January 01, 2000 and October 12, 2008. The reference standard classification of the observations was obtained by generating epidemic thresholds after analyzing the full 9-year period. We evaluated two different alert generating methods [simple regression and cumulative sum (CUSUM), respectively], under a range of input parameters, using data for the previous running 4-6 week period. These methods were applied if the previous weeks contained non-aberrant observations.<h4>Results</h4>We found that the CUSUM model with a specific set of parameters performed marginally better than simple regression for both groups. The best results (sensitivity, specificity) for simple regression and CUSUM models for upper RTIs were (1.00, 0.82) and (0.94, 0.93) respectively. Corresponding results for lower RTIs were (1.00, 0.80) and (0.93, 0.91) respectively.<h4>Conclusions</h4>Short-term data for house-call visits can be used rather reliably to identify respiratory tract outbreaks in the community using simple regression and CUSUM methods. Such surveillance models could be particularly useful when a large historical database is either unavailable or inaccurate and, thus, traditional methods are not optimal.
format	article
author	Alex Spanos George Theocharis Drosos E Karageorgopoulos George Peppas Dimitris Fouskakis Matthew E Falagas
author_facet	Alex Spanos George Theocharis Drosos E Karageorgopoulos George Peppas Dimitris Fouskakis Matthew E Falagas
author_sort	Alex Spanos
title	Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.
title_short	Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.
title_full	Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.
title_fullStr	Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.
title_full_unstemmed	Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.
title_sort	surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of athens, greece.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/fec8dfa9b67c44d2848269fcfddf76e4
work_keys_str_mv	AT alexspanos surveillanceofcommunityoutbreaksofrespiratorytractinfectionsbasedonhousecallvisitsinthemetropolitanareaofathensgreece AT georgetheocharis surveillanceofcommunityoutbreaksofrespiratorytractinfectionsbasedonhousecallvisitsinthemetropolitanareaofathensgreece AT drososekarageorgopoulos surveillanceofcommunityoutbreaksofrespiratorytractinfectionsbasedonhousecallvisitsinthemetropolitanareaofathensgreece AT georgepeppas surveillanceofcommunityoutbreaksofrespiratorytractinfectionsbasedonhousecallvisitsinthemetropolitanareaofathensgreece AT dimitrisfouskakis surveillanceofcommunityoutbreaksofrespiratorytractinfectionsbasedonhousecallvisitsinthemetropolitanareaofathensgreece AT matthewefalagas surveillanceofcommunityoutbreaksofrespiratorytractinfectionsbasedonhousecallvisitsinthemetropolitanareaofathensgreece
_version_	1718423893233893376

Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece.

Ejemplares similares