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 laten...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Tropical Medicine |
| Online Access: | http://dx.doi.org/10.1155/2014/593873 |
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| _version_ | 1832548036472995840 |
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| 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 |
| collection | DOAJ |
| 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 |
| id | doaj-art-1b3ddc71114d4086b3b4237374ced167 |
| institution | Kabale University |
| issn | 1687-9686 1687-9694 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Tropical Medicine |
| spelling | doaj-art-1b3ddc71114d4086b3b4237374ced1672025-02-03T06:42:20ZengWileyJournal of Tropical Medicine1687-96861687-96942014-01-01201410.1155/2014/593873593873Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster AnalysisRita Ismayilova0Emilya Nasirova1Colleen Hanou2Robert G. Rivard3Christian T. Bautista4Republican Anti-Plague Station, Baku, AzerbaijanWalter Reed Army Institute of Research, Silver Spring, MD 20910, USAWalter Reed Army Institute of Research, Silver Spring, MD 20910, USAU.S. Army Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, MD 21702, USAWalter Reed Army Institute of Research, Silver Spring, MD 20910, USABrucellosis 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.http://dx.doi.org/10.1155/2014/593873 |
| spellingShingle | Rita Ismayilova Emilya Nasirova Colleen Hanou Robert G. Rivard Christian T. Bautista Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis Journal of Tropical Medicine |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2014/593873 |
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