Influenza in Madrid, Spain, 1991-92: validity of the sentinel network.
Identifieur interne : 000707 ( Main/Exploration ); précédent : 000706; suivant : 000708Influenza in Madrid, Spain, 1991-92: validity of the sentinel network.
Auteurs : M A Ordobás [Espagne] ; B. Zorrilla ; P. AriasSource :
- Journal of epidemiology and community health [ 0143-005X ] ; 1995.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Espagne (épidémiologie), Femelle (MeSH), Grippe humaine (épidémiologie), Humains (MeSH), Mâle (MeSH), Notification des maladies (MeSH), Nourrisson (MeSH), Nouveau-né (MeSH), Sujet âgé (MeSH), Surveillance sentinelle (MeSH), Virus de la grippe A (isolement et purification).
- MESH :
- isolement et purification : Virus de la grippe A.
- épidémiologie : Espagne, Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Mâle, Notification des maladies, Nourrisson, Nouveau-né, Sujet âgé, Surveillance sentinelle.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Child (MeSH), Child, Preschool (MeSH), Disease Notification (MeSH), Female (MeSH), Humans (MeSH), Infant (MeSH), Infant, Newborn (MeSH), Influenza A virus (isolation & purification), Influenza, Human (epidemiology), Male (MeSH), Middle Aged (MeSH), Sentinel Surveillance (MeSH), Spain (epidemiology).
- MESH :
- geographic , epidemiology : Spain.
- epidemiology : Influenza, Human.
- isolation & purification : Influenza A virus.
- Adolescent, Adult, Aged, Child, Child, Preschool, Disease Notification, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Sentinel Surveillance.
Abstract
OBJECTIVES
The aim was, firstly, to study the validity of the sentinel network data by analysing the correlation between the weekly influenza cases detected by the network and the number of cases notified to the compulsory disease notification system and, secondly, to describe the epidemiology of the period 1991-92 in terms of the sentinel network data.
DESIGN
The study design was descriptive.
SUBJECTS
The population resident in the city of Madrid.
MAIN RESULTS
There was a high correlation between the cases notified to the compulsory disease notification system and those listed by the sentinel network (r = 0.91, p < 0.001, r2 = 0.82). The epidemic activity during the period 1991-92 was centred approximately on week 48 in 1991 and week 6 in 1992 (24 November 1991-8 February 1992). Altogether 913 cases of influenza were notified through the sentinel network. The greatest number of cases occurred in people aged between 20 and 39 years.
CONCLUSION
For the epidemiological surveillance of influenza it is necessary to develop systems that can quickly detect epidemic periods and provide information about populations at risk, in addition to systems that isolate and identify seasonal epidemic viruses. Both types of data will help the development of adequate public health policies. Sentinel networks provide these data and offer additional advantages such as lower cost.
DOI: 10.1136/jech.49.suppl_1.14
PubMed: 7561663
PubMed Central: PMC1060862
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Zorrilla</name></author><author><name sortKey="Arias, P" sort="Arias, P" uniqKey="Arias P" first="P" last="Arias">P. Arias</name></author></analytic><series><title level="j">Journal of epidemiology and community health</title><idno type="ISSN">0143-005X</idno><imprint><date when="1995" type="published">1995</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Disease Notification (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Infant (MeSH)</term><term>Infant, Newborn (MeSH)</term><term>Influenza A virus (isolation & purification)</term><term>Influenza, Human (epidemiology)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Sentinel Surveillance (MeSH)</term><term>Spain (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Espagne (épidémiologie)</term><term>Femelle (MeSH)</term><term>Grippe humaine (épidémiologie)</term><term>Humains (MeSH)</term><term>Mâle (MeSH)</term><term>Notification des maladies (MeSH)</term><term>Nourrisson (MeSH)</term><term>Nouveau-né (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Surveillance sentinelle (MeSH)</term><term>Virus de la grippe A (isolement et purification)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Spain</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Influenza A virus</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Virus de la grippe A</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Espagne</term><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Child</term><term>Child, Preschool</term><term>Disease Notification</term><term>Female</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>Male</term><term>Middle Aged</term><term>Sentinel Surveillance</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Notification des maladies</term><term>Nourrisson</term><term>Nouveau-né</term><term>Sujet âgé</term><term>Surveillance sentinelle</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b></p><p>The aim was, firstly, to study the validity of the sentinel network data by analysing the correlation between the weekly influenza cases detected by the network and the number of cases notified to the compulsory disease notification system and, secondly, to describe the epidemiology of the period 1991-92 in terms of the sentinel network data.</p></div><div type="abstract" xml:lang="en"><p><b>DESIGN</b></p><p>The study design was descriptive.</p></div><div type="abstract" xml:lang="en"><p><b>SUBJECTS</b></p><p>The population resident in the city of Madrid.</p></div><div type="abstract" xml:lang="en"><p><b>MAIN RESULTS</b></p><p>There was a high correlation between the cases notified to the compulsory disease notification system and those listed by the sentinel network (r = 0.91, p < 0.001, r2 = 0.82). The epidemic activity during the period 1991-92 was centred approximately on week 48 in 1991 and week 6 in 1992 (24 November 1991-8 February 1992). Altogether 913 cases of influenza were notified through the sentinel network. The greatest number of cases occurred in people aged between 20 and 39 years.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>For the epidemiological surveillance of influenza it is necessary to develop systems that can quickly detect epidemic periods and provide information about populations at risk, in addition to systems that isolate and identify seasonal epidemic viruses. Both types of data will help the development of adequate public health policies. Sentinel networks provide these data and offer additional advantages such as lower cost.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">7561663</PMID><DateCompleted><Year>1995</Year><Month>10</Month><Day>23</Day></DateCompleted><DateRevised><Year>2019</Year><Month>05</Month><Day>03</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0143-005X</ISSN><JournalIssue CitedMedium="Print"><Volume>49 Suppl 1</Volume><PubDate><Year>1995</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Journal of epidemiology and community health</Title><ISOAbbreviation>J Epidemiol Community Health</ISOAbbreviation></Journal><ArticleTitle>Influenza in Madrid, Spain, 1991-92: validity of the sentinel network.</ArticleTitle><Pagination><MedlinePgn>14-6</MedlinePgn></Pagination><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">The aim was, firstly, to study the validity of the sentinel network data by analysing the correlation between the weekly influenza cases detected by the network and the number of cases notified to the compulsory disease notification system and, secondly, to describe the epidemiology of the period 1991-92 in terms of the sentinel network data.</AbstractText><AbstractText Label="DESIGN" NlmCategory="METHODS">The study design was descriptive.</AbstractText><AbstractText Label="SUBJECTS" NlmCategory="METHODS">The population resident in the city of Madrid.</AbstractText><AbstractText Label="MAIN RESULTS" NlmCategory="RESULTS">There was a high correlation between the cases notified to the compulsory disease notification system and those listed by the sentinel network (r = 0.91, p < 0.001, r2 = 0.82). The epidemic activity during the period 1991-92 was centred approximately on week 48 in 1991 and week 6 in 1992 (24 November 1991-8 February 1992). Altogether 913 cases of influenza were notified through the sentinel network. The greatest number of cases occurred in people aged between 20 and 39 years.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">For the epidemiological surveillance of influenza it is necessary to develop systems that can quickly detect epidemic periods and provide information about populations at risk, in addition to systems that isolate and identify seasonal epidemic viruses. Both types of data will help the development of adequate public health policies. 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Arias</name><name sortKey="Zorrilla, B" sort="Zorrilla, B" uniqKey="Zorrilla B" first="B" last="Zorrilla">B. Zorrilla</name></noCountry><country name="Espagne"><region name="Communauté de Madrid"><name sortKey="Ordobas, M A" sort="Ordobas, M A" uniqKey="Ordobas M" first="M A" last="Ordobás">M A Ordobás</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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