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The east coast districts are the possible epicenter of severe dengue in Sabah
BACKGROUND: Malaysia recorded the highest number of dengue cases between 2014 and 2017. There are 13 states and three federal territories in Malaysia, and each area varies in their prevalence of dengue. Sabah is one of the states situated in Borneo, Malaysia. Although dengue has been increasing for...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427916/ https://www.ncbi.nlm.nih.gov/pubmed/32795350 http://dx.doi.org/10.1186/s40101-020-00230-0 |
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author | Kaur, Narinderjeet Rahim, Syed Sharizman Syed Abdul Jaimin, Joel Judson Dony, Jiloris Julian Frederick Khoon, Koay Teng Ahmed, Kamruddin |
author_facet | Kaur, Narinderjeet Rahim, Syed Sharizman Syed Abdul Jaimin, Joel Judson Dony, Jiloris Julian Frederick Khoon, Koay Teng Ahmed, Kamruddin |
author_sort | Kaur, Narinderjeet |
collection | PubMed |
description | BACKGROUND: Malaysia recorded the highest number of dengue cases between 2014 and 2017. There are 13 states and three federal territories in Malaysia, and each area varies in their prevalence of dengue. Sabah is one of the states situated in Borneo, Malaysia. Although dengue has been increasing for the last several years, no study was being done to understand the burden and serotype distribution of the dengue virus (DENV) in Sabah. Therefore, the present study was carried out to understand the epidemiology of the dengue infection and the factors responsible for severe dengue in Sabah. METHODS: Data on dengue infection were extracted from the dengue database of the state of Sabah from 2013 through 2018. DENV NS-1-positive serum samples from multiple sites throughout Sabah were sent to the state public health laboratory, Kota Kinabalu Public Health Laboratory, for serotype determination. The analysis of factors associated with severe dengue was determined from the data of 2018 only. RESULTS: In 2013, there were 724 dengue cases; however, from 2014, dengue cases increased exponentially and resulted in 3423 cases in 2018. Increasing dengue cases also led to increased dengue mortality. The number of dengue deaths in 2013 was only five which then gradually increased, and in 2018, 29 patients died. This is an increase of 580% from 2013 to 2018. Deaths were considerably more in the districts of the east coast of Sabah compared with districts in the west coast. During the study period, all DENV serotypes could be identified as serotypes circulating in Sabah. In 2018, the predominant serotype was DENV-3. The monthly peak of dengue infection varied in different years. In the logistic regression analysis, it was identified that children were 6.5 times, patients infected with mixed serotype of DENV were 13 times, and cases from the districts of the east coast were 5.2 times more likely to develop severe dengue. CONCLUSIONS: An increasing trend of dengue infection has been observed in Sabah. The burden of dengue, severe dengue, and mortality was noted especially in the districts of the east coast of Sabah. Severe dengue was most likely developed in children, cases from the east coast, and patients infected with mixed serotype of DENV. |
format | Online Article Text |
id | pubmed-7427916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74279162020-08-17 The east coast districts are the possible epicenter of severe dengue in Sabah Kaur, Narinderjeet Rahim, Syed Sharizman Syed Abdul Jaimin, Joel Judson Dony, Jiloris Julian Frederick Khoon, Koay Teng Ahmed, Kamruddin J Physiol Anthropol Original Article BACKGROUND: Malaysia recorded the highest number of dengue cases between 2014 and 2017. There are 13 states and three federal territories in Malaysia, and each area varies in their prevalence of dengue. Sabah is one of the states situated in Borneo, Malaysia. Although dengue has been increasing for the last several years, no study was being done to understand the burden and serotype distribution of the dengue virus (DENV) in Sabah. Therefore, the present study was carried out to understand the epidemiology of the dengue infection and the factors responsible for severe dengue in Sabah. METHODS: Data on dengue infection were extracted from the dengue database of the state of Sabah from 2013 through 2018. DENV NS-1-positive serum samples from multiple sites throughout Sabah were sent to the state public health laboratory, Kota Kinabalu Public Health Laboratory, for serotype determination. The analysis of factors associated with severe dengue was determined from the data of 2018 only. RESULTS: In 2013, there were 724 dengue cases; however, from 2014, dengue cases increased exponentially and resulted in 3423 cases in 2018. Increasing dengue cases also led to increased dengue mortality. The number of dengue deaths in 2013 was only five which then gradually increased, and in 2018, 29 patients died. This is an increase of 580% from 2013 to 2018. Deaths were considerably more in the districts of the east coast of Sabah compared with districts in the west coast. During the study period, all DENV serotypes could be identified as serotypes circulating in Sabah. In 2018, the predominant serotype was DENV-3. The monthly peak of dengue infection varied in different years. In the logistic regression analysis, it was identified that children were 6.5 times, patients infected with mixed serotype of DENV were 13 times, and cases from the districts of the east coast were 5.2 times more likely to develop severe dengue. CONCLUSIONS: An increasing trend of dengue infection has been observed in Sabah. The burden of dengue, severe dengue, and mortality was noted especially in the districts of the east coast of Sabah. Severe dengue was most likely developed in children, cases from the east coast, and patients infected with mixed serotype of DENV. BioMed Central 2020-08-14 /pmc/articles/PMC7427916/ /pubmed/32795350 http://dx.doi.org/10.1186/s40101-020-00230-0 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Original Article Kaur, Narinderjeet Rahim, Syed Sharizman Syed Abdul Jaimin, Joel Judson Dony, Jiloris Julian Frederick Khoon, Koay Teng Ahmed, Kamruddin The east coast districts are the possible epicenter of severe dengue in Sabah |
title | The east coast districts are the possible epicenter of severe dengue in Sabah |
title_full | The east coast districts are the possible epicenter of severe dengue in Sabah |
title_fullStr | The east coast districts are the possible epicenter of severe dengue in Sabah |
title_full_unstemmed | The east coast districts are the possible epicenter of severe dengue in Sabah |
title_short | The east coast districts are the possible epicenter of severe dengue in Sabah |
title_sort | east coast districts are the possible epicenter of severe dengue in sabah |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427916/ https://www.ncbi.nlm.nih.gov/pubmed/32795350 http://dx.doi.org/10.1186/s40101-020-00230-0 |
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