Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis
Brucellosis infection is a multisystem disease, with a broad spectrum of symptoms. We investigated the existence of clusters of infected patients according to their clinical presentation. Using national surveillance data from the Electronic-Integrated Disease Surveillance System, we applied a latent...
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ftdoajarticles:oai:doaj.org/article:1b3ddc71114d4086b3b4237374ced167 2024-09-09T19:25:58+00:00 Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis Rita Ismayilova Emilya Nasirova Colleen Hanou Robert G. Rivard Christian T. Bautista 2014-01-01T00:00:00Z https://doi.org/10.1155/2014/593873 https://doaj.org/article/1b3ddc71114d4086b3b4237374ced167 EN eng Wiley http://dx.doi.org/10.1155/2014/593873 https://doaj.org/toc/1687-9686 https://doaj.org/toc/1687-9694 1687-9686 1687-9694 doi:10.1155/2014/593873 https://doaj.org/article/1b3ddc71114d4086b3b4237374ced167 Journal of Tropical Medicine, Vol 2014 (2014) Arctic medicine. Tropical medicine RC955-962 article 2014 ftdoajarticles https://doi.org/10.1155/2014/593873 2024-08-05T17:48:35Z Brucellosis infection is a multisystem disease, with a broad spectrum of symptoms. We investigated the existence of clusters of infected patients according to their clinical presentation. Using national surveillance data from the Electronic-Integrated Disease Surveillance System, we applied a latent class cluster (LCC) analysis on symptoms to determine clusters of brucellosis cases. A total of 454 cases reported between July 2011 and July 2013 were analyzed. LCC identified a two-cluster model and the Vuong-Lo-Mendell-Rubin likelihood ratio supported the cluster model. Brucellosis cases in the second cluster (19%) reported higher percentages of poly-lymphadenopathy, hepatomegaly, arthritis, myositis, and neuritis and changes in liver function tests compared to cases of the first cluster. Patients in the second cluster had a severe brucellosis disease course and were associated with longer delay in seeking medical attention. Moreover, most of them were from Beylagan, a region focused on sheep and goat livestock production in south-central Azerbaijan. Patients in cluster 2 accounted for one-quarter of brucellosis cases and had a more severe clinical presentation. Delay in seeking medical care may explain severe illness. Future work needs to determine the factors that influence brucellosis case seeking and identify brucellosis species, particularly among cases from Beylagan. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Rubin ENVELOPE(65.493,65.493,-73.438,-73.438) Journal of Tropical Medicine 2014 1 4 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Rita Ismayilova Emilya Nasirova Colleen Hanou Robert G. Rivard Christian T. Bautista Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 |
description |
Brucellosis infection is a multisystem disease, with a broad spectrum of symptoms. We investigated the existence of clusters of infected patients according to their clinical presentation. Using national surveillance data from the Electronic-Integrated Disease Surveillance System, we applied a latent class cluster (LCC) analysis on symptoms to determine clusters of brucellosis cases. A total of 454 cases reported between July 2011 and July 2013 were analyzed. LCC identified a two-cluster model and the Vuong-Lo-Mendell-Rubin likelihood ratio supported the cluster model. Brucellosis cases in the second cluster (19%) reported higher percentages of poly-lymphadenopathy, hepatomegaly, arthritis, myositis, and neuritis and changes in liver function tests compared to cases of the first cluster. Patients in the second cluster had a severe brucellosis disease course and were associated with longer delay in seeking medical attention. Moreover, most of them were from Beylagan, a region focused on sheep and goat livestock production in south-central Azerbaijan. Patients in cluster 2 accounted for one-quarter of brucellosis cases and had a more severe clinical presentation. Delay in seeking medical care may explain severe illness. Future work needs to determine the factors that influence brucellosis case seeking and identify brucellosis species, particularly among cases from Beylagan. |
format |
Article in Journal/Newspaper |
author |
Rita Ismayilova Emilya Nasirova Colleen Hanou Robert G. Rivard Christian T. Bautista |
author_facet |
Rita Ismayilova Emilya Nasirova Colleen Hanou Robert G. Rivard Christian T. Bautista |
author_sort |
Rita Ismayilova |
title |
Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis |
title_short |
Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis |
title_full |
Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis |
title_fullStr |
Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis |
title_full_unstemmed |
Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis |
title_sort |
patterns of brucellosis infection symptoms in azerbaijan: a latent class cluster analysis |
publisher |
Wiley |
publishDate |
2014 |
url |
https://doi.org/10.1155/2014/593873 https://doaj.org/article/1b3ddc71114d4086b3b4237374ced167 |
long_lat |
ENVELOPE(65.493,65.493,-73.438,-73.438) |
geographic |
Arctic Rubin |
geographic_facet |
Arctic Rubin |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Journal of Tropical Medicine, Vol 2014 (2014) |
op_relation |
http://dx.doi.org/10.1155/2014/593873 https://doaj.org/toc/1687-9686 https://doaj.org/toc/1687-9694 1687-9686 1687-9694 doi:10.1155/2014/593873 https://doaj.org/article/1b3ddc71114d4086b3b4237374ced167 |
op_doi |
https://doi.org/10.1155/2014/593873 |
container_title |
Journal of Tropical Medicine |
container_volume |
2014 |
container_start_page |
1 |
op_container_end_page |
4 |
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1809895694801043456 |