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The effect of climate on melioidosis incidence in Townsville, Australia: a dry tropical region
BACKGROUND: Townsville is in the dry tropics in Northern Australia and an endemic region for melioidosis. Melioidosis is an infectious disease caused by Burkholderia pseudomallei, a soil dwelling organism. The incidence of melioidosis is associated with high levels of rainfall and has been linked to...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Japanese Society for Hygiene
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287989/ https://www.ncbi.nlm.nih.gov/pubmed/37286497 http://dx.doi.org/10.1265/ehpm.22-00177 |
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author | Ganeshalingam, Vibooshini Kaestli, Mirjam Norton, Robert E Gassiep, Ian |
author_facet | Ganeshalingam, Vibooshini Kaestli, Mirjam Norton, Robert E Gassiep, Ian |
author_sort | Ganeshalingam, Vibooshini |
collection | PubMed |
description | BACKGROUND: Townsville is in the dry tropics in Northern Australia and an endemic region for melioidosis. Melioidosis is an infectious disease caused by Burkholderia pseudomallei, a soil dwelling organism. The incidence of melioidosis is associated with high levels of rainfall and has been linked to multiple weather variables in other melioidosis endemic regions such as in Darwin. In contrast to Townsville, Darwin is in the wet-dry tropics in Northern Australia and receives 40% more rainfall. We assessed the relationship between melioidosis incidence and weather conditions in Townsville and compared the patterns to the findings in Darwin and other melioidosis endemic regions. METHOD: Performing a time series analysis from 1996 to 2020, we applied a negative binomial regression model to evaluate the link between the incidence of melioidosis in Townsville and various weather variables. Akaike’s information criterion was used to assess the most parsimonious model with best predictive performance. Fourier terms and lagged deviance residuals were included to control long term seasonal trends and temporal autocorrelation. RESULTS: Humidity is the strongest predictor for melioidosis incidence in Townsville. Furthermore, the incidence of melioidosis showed a three-times rise in the Townsville region when >200 mm of rain fell within the fortnight. Prolonged rainfall had more impact than a heavy downpour on the overall melioidosis incident rate. There was no statistically significant increase in incidence with cloud cover in the multivariable model. CONCLUSION: Consistent with other reports, melioidosis incidence can be attributed to humidity and rainfall in Townsville. In contrast to Darwin, there was no strong link between melioidosis cases and cloud cover and nor single large rainfall events. |
format | Online Article Text |
id | pubmed-10287989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Japanese Society for Hygiene |
record_format | MEDLINE/PubMed |
spelling | pubmed-102879892023-06-24 The effect of climate on melioidosis incidence in Townsville, Australia: a dry tropical region Ganeshalingam, Vibooshini Kaestli, Mirjam Norton, Robert E Gassiep, Ian Environ Health Prev Med Research Article BACKGROUND: Townsville is in the dry tropics in Northern Australia and an endemic region for melioidosis. Melioidosis is an infectious disease caused by Burkholderia pseudomallei, a soil dwelling organism. The incidence of melioidosis is associated with high levels of rainfall and has been linked to multiple weather variables in other melioidosis endemic regions such as in Darwin. In contrast to Townsville, Darwin is in the wet-dry tropics in Northern Australia and receives 40% more rainfall. We assessed the relationship between melioidosis incidence and weather conditions in Townsville and compared the patterns to the findings in Darwin and other melioidosis endemic regions. METHOD: Performing a time series analysis from 1996 to 2020, we applied a negative binomial regression model to evaluate the link between the incidence of melioidosis in Townsville and various weather variables. Akaike’s information criterion was used to assess the most parsimonious model with best predictive performance. Fourier terms and lagged deviance residuals were included to control long term seasonal trends and temporal autocorrelation. RESULTS: Humidity is the strongest predictor for melioidosis incidence in Townsville. Furthermore, the incidence of melioidosis showed a three-times rise in the Townsville region when >200 mm of rain fell within the fortnight. Prolonged rainfall had more impact than a heavy downpour on the overall melioidosis incident rate. There was no statistically significant increase in incidence with cloud cover in the multivariable model. CONCLUSION: Consistent with other reports, melioidosis incidence can be attributed to humidity and rainfall in Townsville. In contrast to Darwin, there was no strong link between melioidosis cases and cloud cover and nor single large rainfall events. Japanese Society for Hygiene 2023-06-07 /pmc/articles/PMC10287989/ /pubmed/37286497 http://dx.doi.org/10.1265/ehpm.22-00177 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Ganeshalingam, Vibooshini Kaestli, Mirjam Norton, Robert E Gassiep, Ian The effect of climate on melioidosis incidence in Townsville, Australia: a dry tropical region |
title | The effect of climate on melioidosis incidence in Townsville, Australia: a dry tropical region |
title_full | The effect of climate on melioidosis incidence in Townsville, Australia: a dry tropical region |
title_fullStr | The effect of climate on melioidosis incidence in Townsville, Australia: a dry tropical region |
title_full_unstemmed | The effect of climate on melioidosis incidence in Townsville, Australia: a dry tropical region |
title_short | The effect of climate on melioidosis incidence in Townsville, Australia: a dry tropical region |
title_sort | effect of climate on melioidosis incidence in townsville, australia: a dry tropical region |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287989/ https://www.ncbi.nlm.nih.gov/pubmed/37286497 http://dx.doi.org/10.1265/ehpm.22-00177 |
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