[Space distribution of tuberculosis in Spain by geostatistical methods].
Identifieur interne : 000497 ( Main/Exploration ); précédent : 000496; suivant : 000498[Space distribution of tuberculosis in Spain by geostatistical methods].
Auteurs : Diana G Mez-Barroso [Espagne] ; Elena Rodríguez Valín ; Víctor Flores Segovia ; Rebeca Ramis Prieto ; José Luís Del Barrio Fernández ; Fernando Sim N SoriaSource :
- Revista espanola de salud publica [ 1135-5727 ]
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Espagne (épidémiologie), Facteurs socioéconomiques (MeSH), Femelle (MeSH), Humains (MeSH), Jeune adulte (MeSH), Mâle (MeSH), Nourrisson (MeSH), Sujet âgé (MeSH), Tuberculose pulmonaire (épidémiologie).
- MESH :
- épidémiologie : Espagne, Tuberculose pulmonaire.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Facteurs socioéconomiques, Femelle, Humains, Jeune adulte, Mâle, Nourrisson, Sujet âgé.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Spain.
- epidemiology : Tuberculosis, Pulmonary.
- Adolescent, Adult, Aged, Child, Child, Preschool, Female, Humans, Infant, Male, Middle Aged, Socioeconomic Factors, Young Adult.
Abstract
BACKGROUND
Tuberculosis incidence has been associated with many factors, both epidemiological and social. In Spain, tuberculosis is a statutorily notifiable disease requiring individualised reporting. During the last few years rates of respiratory tuberculosis show a steady decline. This study sought to assess respiratory tuberculosis morbidity and mortality in association to socio-economic and epidemiological covariates and estimate its spatial distribution across the country, using geo-statistical methods.
METHODS
Respiratory tuberculosis incidence rates were standardised by age and sex with the data of the National Epidemiological Surveillance Network (RENAVE, Red Nacional de Vigilancia Epidemiológica) for 2006. The following socio-economic variables were included in the study: socio-economic status, educational level, overcrowding rate, population density, standardised immigration rate by sex, unemployment rate and average spending per person in euros. The epidemiological variables included were, such as, AIDS rate and the influenza incidence rate. To assess the association of covariables a multivariate analysis was performed using a Generalised Linear Model assuming Poisson distribution. The goestatistical method co-kriging was adjusted with the significant variables to built the spatial distribution of risk.
RESULTS
The statistically significant covariates were overcrowding rate, standardised immigration rate by sex, educational level, unemployment rate, average spending per person in euros, AIDS rate and the influenza incidence rate. The geostatistical method shows spatial variability of the risk with higher risks in the northwest and southeast of the peninsula.
CONCLUSION
Results prove that the co-kriging method is a useful tool to show the spatial distribution of risk. Alternatively, tuberculosis is associated with both social and epidemiological covariates.
DOI: 10.1590/s1135-57272009000500014
PubMed: 20111821
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<author><name sortKey="G Mez Barroso, Diana" sort="G Mez Barroso, Diana" uniqKey="G Mez Barroso D" first="Diana" last="G Mez-Barroso">Diana G Mez-Barroso</name>
<affiliation wicri:level="1"><nlm:affiliation>Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública - CIBERESP, España. dgomez@iscii.es</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública - CIBERESP</wicri:regionArea>
</affiliation>
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<author><name sortKey="Rodriguez Valin, Elena" sort="Rodriguez Valin, Elena" uniqKey="Rodriguez Valin E" first="Elena" last="Rodríguez Valín">Elena Rodríguez Valín</name>
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<author><name sortKey="Flores Segovia, Victor" sort="Flores Segovia, Victor" uniqKey="Flores Segovia V" first="Víctor" last="Flores Segovia">Víctor Flores Segovia</name>
</author>
<author><name sortKey="Ramis Prieto, Rebeca" sort="Ramis Prieto, Rebeca" uniqKey="Ramis Prieto R" first="Rebeca" last="Ramis Prieto">Rebeca Ramis Prieto</name>
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<author><name sortKey="Barrio Fernandez, Jose Luis Del" sort="Barrio Fernandez, Jose Luis Del" uniqKey="Barrio Fernandez J" first="José Luís Del" last="Barrio Fernández">José Luís Del Barrio Fernández</name>
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<author><name sortKey="Sim N Soria, Fernando" sort="Sim N Soria, Fernando" uniqKey="Sim N Soria F" first="Fernando" last="Sim N Soria">Fernando Sim N Soria</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">[Space distribution of tuberculosis in Spain by geostatistical methods].</title>
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<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>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Infant (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Socioeconomic Factors (MeSH)</term>
<term>Spain (epidemiology)</term>
<term>Tuberculosis, Pulmonary (epidemiology)</term>
<term>Young Adult (MeSH)</term>
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<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>Facteurs socioéconomiques (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Nourrisson (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Tuberculose pulmonaire (épidémiologie)</term>
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<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Spain</term>
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<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Tuberculosis, Pulmonary</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Espagne</term>
<term>Tuberculose pulmonaire</term>
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<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Socioeconomic Factors</term>
<term>Young Adult</term>
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<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>Facteurs socioéconomiques</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Sujet âgé</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Tuberculosis incidence has been associated with many factors, both epidemiological and social. In Spain, tuberculosis is a statutorily notifiable disease requiring individualised reporting. During the last few years rates of respiratory tuberculosis show a steady decline. This study sought to assess respiratory tuberculosis morbidity and mortality in association to socio-economic and epidemiological covariates and estimate its spatial distribution across the country, using geo-statistical methods.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>Respiratory tuberculosis incidence rates were standardised by age and sex with the data of the National Epidemiological Surveillance Network (RENAVE, Red Nacional de Vigilancia Epidemiológica) for 2006. The following socio-economic variables were included in the study: socio-economic status, educational level, overcrowding rate, population density, standardised immigration rate by sex, unemployment rate and average spending per person in euros. The epidemiological variables included were, such as, AIDS rate and the influenza incidence rate. To assess the association of covariables a multivariate analysis was performed using a Generalised Linear Model assuming Poisson distribution. The goestatistical method co-kriging was adjusted with the significant variables to built the spatial distribution of risk.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>The statistically significant covariates were overcrowding rate, standardised immigration rate by sex, educational level, unemployment rate, average spending per person in euros, AIDS rate and the influenza incidence rate. The geostatistical method shows spatial variability of the risk with higher risks in the northwest and southeast of the peninsula.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>Results prove that the co-kriging method is a useful tool to show the spatial distribution of risk. Alternatively, tuberculosis is associated with both social and epidemiological covariates.</p>
</div>
</front>
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<Title>Revista espanola de salud publica</Title>
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<ArticleTitle>[Space distribution of tuberculosis in Spain by geostatistical methods].</ArticleTitle>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Tuberculosis incidence has been associated with many factors, both epidemiological and social. In Spain, tuberculosis is a statutorily notifiable disease requiring individualised reporting. During the last few years rates of respiratory tuberculosis show a steady decline. This study sought to assess respiratory tuberculosis morbidity and mortality in association to socio-economic and epidemiological covariates and estimate its spatial distribution across the country, using geo-statistical methods.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Respiratory tuberculosis incidence rates were standardised by age and sex with the data of the National Epidemiological Surveillance Network (RENAVE, Red Nacional de Vigilancia Epidemiológica) for 2006. The following socio-economic variables were included in the study: socio-economic status, educational level, overcrowding rate, population density, standardised immigration rate by sex, unemployment rate and average spending per person in euros. The epidemiological variables included were, such as, AIDS rate and the influenza incidence rate. To assess the association of covariables a multivariate analysis was performed using a Generalised Linear Model assuming Poisson distribution. The goestatistical method co-kriging was adjusted with the significant variables to built the spatial distribution of risk.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The statistically significant covariates were overcrowding rate, standardised immigration rate by sex, educational level, unemployment rate, average spending per person in euros, AIDS rate and the influenza incidence rate. The geostatistical method shows spatial variability of the risk with higher risks in the northwest and southeast of the peninsula.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Results prove that the co-kriging method is a useful tool to show the spatial distribution of risk. Alternatively, tuberculosis is associated with both social and epidemiological covariates.</AbstractText>
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<name sortKey="Flores Segovia, Victor" sort="Flores Segovia, Victor" uniqKey="Flores Segovia V" first="Víctor" last="Flores Segovia">Víctor Flores Segovia</name>
<name sortKey="Ramis Prieto, Rebeca" sort="Ramis Prieto, Rebeca" uniqKey="Ramis Prieto R" first="Rebeca" last="Ramis Prieto">Rebeca Ramis Prieto</name>
<name sortKey="Rodriguez Valin, Elena" sort="Rodriguez Valin, Elena" uniqKey="Rodriguez Valin E" first="Elena" last="Rodríguez Valín">Elena Rodríguez Valín</name>
<name sortKey="Sim N Soria, Fernando" sort="Sim N Soria, Fernando" uniqKey="Sim N Soria F" first="Fernando" last="Sim N Soria">Fernando Sim N Soria</name>
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<country name="Espagne"><noRegion><name sortKey="G Mez Barroso, Diana" sort="G Mez Barroso, Diana" uniqKey="G Mez Barroso D" first="Diana" last="G Mez-Barroso">Diana G Mez-Barroso</name>
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