Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba
Autor(a) principal: | |
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Data de Publicação: | 1992 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Memórias do Instituto Oswaldo Cruz |
Texto Completo: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02761992000300015 |
Resumo: | A forecast of nonepidemic morbidity due to acute respiratory infections were carry out by using time series analysis. The data consisted of the weekly reports of medical patient consultation from ambulatory facilities from the whole country. A version of regression model was fitted to the data. Using this approach, we were able to detect the starting data of the epidemic under routine surveillance conditions for various age groups. It will be necessary to improve the data reporting system in order to introduce these procedures at the local health center level, as well as on the provincial level. |
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Memórias do Instituto Oswaldo Cruz |
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Forecast of acute respiratory infections: expected nonepidemic mobidity in CubaARI time series analysisARI endemicity forecastingA forecast of nonepidemic morbidity due to acute respiratory infections were carry out by using time series analysis. The data consisted of the weekly reports of medical patient consultation from ambulatory facilities from the whole country. A version of regression model was fitted to the data. Using this approach, we were able to detect the starting data of the epidemic under routine surveillance conditions for various age groups. It will be necessary to improve the data reporting system in order to introduce these procedures at the local health center level, as well as on the provincial level.Instituto Oswaldo Cruz, Ministério da Saúde1992-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02761992000300015Memórias do Instituto Oswaldo Cruz v.87 n.3 1992reponame:Memórias do Instituto Oswaldo Cruzinstname:Fundação Oswaldo Cruzinstacron:FIOCRUZ10.1590/S0074-02761992000300015info:eu-repo/semantics/openAccessAguirre,ArmandoGonzalez,Edilbertoeng2020-04-25T17:46:47Zhttp://www.scielo.br/oai/scielo-oai.php0074-02761678-8060opendoar:null2020-04-26 02:04:43.028Memórias do Instituto Oswaldo Cruz - Fundação Oswaldo Cruztrue |
dc.title.none.fl_str_mv |
Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba |
title |
Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba |
spellingShingle |
Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba Aguirre,Armando ARI time series analysis ARI endemicity forecasting |
title_short |
Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba |
title_full |
Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba |
title_fullStr |
Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba |
title_full_unstemmed |
Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba |
title_sort |
Forecast of acute respiratory infections: expected nonepidemic mobidity in Cuba |
author |
Aguirre,Armando |
author_facet |
Aguirre,Armando Gonzalez,Edilberto |
author_role |
author |
author2 |
Gonzalez,Edilberto |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Aguirre,Armando Gonzalez,Edilberto |
dc.subject.por.fl_str_mv |
ARI time series analysis ARI endemicity forecasting |
topic |
ARI time series analysis ARI endemicity forecasting |
dc.description.none.fl_txt_mv |
A forecast of nonepidemic morbidity due to acute respiratory infections were carry out by using time series analysis. The data consisted of the weekly reports of medical patient consultation from ambulatory facilities from the whole country. A version of regression model was fitted to the data. Using this approach, we were able to detect the starting data of the epidemic under routine surveillance conditions for various age groups. It will be necessary to improve the data reporting system in order to introduce these procedures at the local health center level, as well as on the provincial level. |
description |
A forecast of nonepidemic morbidity due to acute respiratory infections were carry out by using time series analysis. The data consisted of the weekly reports of medical patient consultation from ambulatory facilities from the whole country. A version of regression model was fitted to the data. Using this approach, we were able to detect the starting data of the epidemic under routine surveillance conditions for various age groups. It will be necessary to improve the data reporting system in order to introduce these procedures at the local health center level, as well as on the provincial level. |
publishDate |
1992 |
dc.date.none.fl_str_mv |
1992-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02761992000300015 |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02761992000300015 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0074-02761992000300015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Oswaldo Cruz, Ministério da Saúde |
publisher.none.fl_str_mv |
Instituto Oswaldo Cruz, Ministério da Saúde |
dc.source.none.fl_str_mv |
Memórias do Instituto Oswaldo Cruz v.87 n.3 1992 reponame:Memórias do Instituto Oswaldo Cruz instname:Fundação Oswaldo Cruz instacron:FIOCRUZ |
reponame_str |
Memórias do Instituto Oswaldo Cruz |
collection |
Memórias do Instituto Oswaldo Cruz |
instname_str |
Fundação Oswaldo Cruz |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
repository.name.fl_str_mv |
Memórias do Instituto Oswaldo Cruz - Fundação Oswaldo Cruz |
repository.mail.fl_str_mv |
|
_version_ |
1669937658348961792 |