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Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015

BACKGROUND: Seasonality in tuberculosis (TB) has been described, especially in children. However, few studies have assessed seasonality of TB in the equatorial region, and none in children. OBJECTIVES: To assess for seasonality of childhood TB cases in Kampala, Uganda, and determine the role of temp...

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Autores principales: Jaganath, Devan, Wobudeya, Eric, Sekadde, Moorine Penninah, Nsangi, Betty, Haq, Heather, Cattamanchi, Adithya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456174/
https://www.ncbi.nlm.nih.gov/pubmed/30964908
http://dx.doi.org/10.1371/journal.pone.0214555
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author Jaganath, Devan
Wobudeya, Eric
Sekadde, Moorine Penninah
Nsangi, Betty
Haq, Heather
Cattamanchi, Adithya
author_facet Jaganath, Devan
Wobudeya, Eric
Sekadde, Moorine Penninah
Nsangi, Betty
Haq, Heather
Cattamanchi, Adithya
author_sort Jaganath, Devan
collection PubMed
description BACKGROUND: Seasonality in tuberculosis (TB) has been described, especially in children. However, few studies have assessed seasonality of TB in the equatorial region, and none in children. OBJECTIVES: To assess for seasonality of childhood TB cases in Kampala, Uganda, and determine the role of temperature, rainfall patterns, and influenza cases on TB diagnoses. METHODS: We retrospectively analyzed demographic and clinical data of children (under 15 years) diagnosed with TB at a pediatric TB clinic in Kampala, Uganda from 2010 to 2015. We performed decomposition analysis of the monthly case time series to assess seasonality. We compared monthly mean plots and performed Poisson regression to assess any association between TB diagnoses and temperature, rainfall, and influenza. RESULTS: Of the 713 childhood TB cases diagnosed at the clinic, 609 (85%) were clinically diagnosed and 492 (69%) were pulmonary cases. There were minimal monthly variations in TB cases, with a trough in December and peaks in July and October, but there was no significant seasonality. Temperature variations did not show a clear pattern with TB diagnoses. Rainfall alternated with TB diagnoses in the first half of the year, but then overlapped in the second half and was significantly associated with TB diagnoses. Influenza cases were significantly related to TB diagnoses with (β = 0.05, 95% CI 0.01 to 0.09, p = 0.01) or without (β = 0.06, 95% CI 0.01 to 0.1, p = 0.01) rainfall, and had particular overlap with pulmonary TB cases. CONCLUSIONS: Seasonal variations in childhood TB diagnoses were non-significant. Temperature did not have a clear pattern with TB diagnoses, but rainfall and influenza cases correlated with the primarily clinically diagnosed childhood TB cases.
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spelling pubmed-64561742019-05-03 Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015 Jaganath, Devan Wobudeya, Eric Sekadde, Moorine Penninah Nsangi, Betty Haq, Heather Cattamanchi, Adithya PLoS One Research Article BACKGROUND: Seasonality in tuberculosis (TB) has been described, especially in children. However, few studies have assessed seasonality of TB in the equatorial region, and none in children. OBJECTIVES: To assess for seasonality of childhood TB cases in Kampala, Uganda, and determine the role of temperature, rainfall patterns, and influenza cases on TB diagnoses. METHODS: We retrospectively analyzed demographic and clinical data of children (under 15 years) diagnosed with TB at a pediatric TB clinic in Kampala, Uganda from 2010 to 2015. We performed decomposition analysis of the monthly case time series to assess seasonality. We compared monthly mean plots and performed Poisson regression to assess any association between TB diagnoses and temperature, rainfall, and influenza. RESULTS: Of the 713 childhood TB cases diagnosed at the clinic, 609 (85%) were clinically diagnosed and 492 (69%) were pulmonary cases. There were minimal monthly variations in TB cases, with a trough in December and peaks in July and October, but there was no significant seasonality. Temperature variations did not show a clear pattern with TB diagnoses. Rainfall alternated with TB diagnoses in the first half of the year, but then overlapped in the second half and was significantly associated with TB diagnoses. Influenza cases were significantly related to TB diagnoses with (β = 0.05, 95% CI 0.01 to 0.09, p = 0.01) or without (β = 0.06, 95% CI 0.01 to 0.1, p = 0.01) rainfall, and had particular overlap with pulmonary TB cases. CONCLUSIONS: Seasonal variations in childhood TB diagnoses were non-significant. Temperature did not have a clear pattern with TB diagnoses, but rainfall and influenza cases correlated with the primarily clinically diagnosed childhood TB cases. Public Library of Science 2019-04-09 /pmc/articles/PMC6456174/ /pubmed/30964908 http://dx.doi.org/10.1371/journal.pone.0214555 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Jaganath, Devan
Wobudeya, Eric
Sekadde, Moorine Penninah
Nsangi, Betty
Haq, Heather
Cattamanchi, Adithya
Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015
title Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015
title_full Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015
title_fullStr Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015
title_full_unstemmed Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015
title_short Seasonality of childhood tuberculosis cases in Kampala, Uganda, 2010-2015
title_sort seasonality of childhood tuberculosis cases in kampala, uganda, 2010-2015
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456174/
https://www.ncbi.nlm.nih.gov/pubmed/30964908
http://dx.doi.org/10.1371/journal.pone.0214555
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