Pandemic-related health behavior: repeat episodes of influenza-like illness related to the 2009 H1N1 influenza pandemic.
Identifieur interne : 000673 ( Main/Curation ); précédent : 000672; suivant : 000674Pandemic-related health behavior: repeat episodes of influenza-like illness related to the 2009 H1N1 influenza pandemic.
Auteurs : O. Mgbere [États-Unis] ; K. Ngo [États-Unis] ; S. Khuwaja [États-Unis] ; M. Mouzoon [États-Unis] ; A. Greisinger [États-Unis] ; R. Arafat [États-Unis] ; J. Markee [États-Unis]Source :
- Epidemiology and infection [ 1469-4409 ] ; 2017.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Comportement en matière de santé, Enfant, Enfant d'âge préscolaire, Femelle, Grippe humaine (épidémiologie), Humains, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Pandémies, Sous-type H1N1 du virus de la grippe A (physiologie), Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance sentinelle, Texas (épidémiologie).
- MESH :
- physiologie : Sous-type H1N1 du virus de la grippe A.
- épidémiologie : Grippe humaine, Texas.
- Adolescent, Adulte, Adulte d'âge moyen, Comportement en matière de santé, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Pandémies, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance sentinelle.
English descriptors
- KwdEn :
- MESH :
- epidemiology : Influenza, Human, Texas.
- physiology : Influenza A Virus, H1N1 Subtype.
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Health Behavior, Humans, Infant, Infant, Newborn, Male, Middle Aged, Pandemics, Sentinel Surveillance, Young Adult.
Abstract
The Houston Health Department (HHD) in Texas tracks influenza-like illness (ILI) in the community through its Influenza Sentinel Surveillance Program, which began in 2008. After the influenza A(H1N1) pandemic (pH1N1) in 2009, investigators sought to assess the feasibility of this program as a non-traditional data source for tracking and monitoring care-seeking activities. Through the process of characterizing and describing patients who had 'return visits', or who were considered the heaviest ILI-related care-utilizers, the investigators sought to understand the strengths and limitations of this data source. Data used for this study were obtained from a multispecialty clinic in Houston, Texas between August 2008 and January 2011 across three phases: pre-pH1N1, pH1N1, and post-pH1N1. The data, which comprised of 4047 patient visits, yielded 150 return visits. We found an increase in the number of visits for ILI and proportion of return visits during the pandemic phase (pH1N1), as well as differences in the likelihood of a return visit between genders and age groups. More broadly, the findings of this study provide important considerations for future research and expose important gaps in using surveillance data to assess sick-role behaviors.
DOI: 10.1017/S0950268817001467
PubMed: 28726598
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pubmed:28726598Le document en format XML
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<term>Enfant</term>
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<front><div type="abstract" xml:lang="en">The Houston Health Department (HHD) in Texas tracks influenza-like illness (ILI) in the community through its Influenza Sentinel Surveillance Program, which began in 2008. After the influenza A(H1N1) pandemic (pH1N1) in 2009, investigators sought to assess the feasibility of this program as a non-traditional data source for tracking and monitoring care-seeking activities. Through the process of characterizing and describing patients who had 'return visits', or who were considered the heaviest ILI-related care-utilizers, the investigators sought to understand the strengths and limitations of this data source. Data used for this study were obtained from a multispecialty clinic in Houston, Texas between August 2008 and January 2011 across three phases: pre-pH1N1, pH1N1, and post-pH1N1. The data, which comprised of 4047 patient visits, yielded 150 return visits. We found an increase in the number of visits for ILI and proportion of return visits during the pandemic phase (pH1N1), as well as differences in the likelihood of a return visit between genders and age groups. More broadly, the findings of this study provide important considerations for future research and expose important gaps in using surveillance data to assess sick-role behaviors.</div>
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