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Does Bangkok have a central role in the dengue dynamics of Thailand?

BACKGROUND: Bangkok plays a central role in the commerce of Thailand. This study aimed to characterize the district-level spatial-temporal patterns of dengue in Thailand and explore if a dengue peak in Bangkok led the peaks of dengue in other Thai provinces. METHODS: Monthly dengue data at district...

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Autores principales: Xu, Zhiwei, Bambrick, Hilary, Pongsumpun, Puntani, Ming Tang, I., Yakob, Laith, Devine, Gregor, Frentiu, Francesca D., Williams, Gail, Hu, Wenbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6958813/
https://www.ncbi.nlm.nih.gov/pubmed/31931886
http://dx.doi.org/10.1186/s13071-020-3892-y
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author Xu, Zhiwei
Bambrick, Hilary
Pongsumpun, Puntani
Ming Tang, I.
Yakob, Laith
Devine, Gregor
Frentiu, Francesca D.
Williams, Gail
Hu, Wenbiao
author_facet Xu, Zhiwei
Bambrick, Hilary
Pongsumpun, Puntani
Ming Tang, I.
Yakob, Laith
Devine, Gregor
Frentiu, Francesca D.
Williams, Gail
Hu, Wenbiao
author_sort Xu, Zhiwei
collection PubMed
description BACKGROUND: Bangkok plays a central role in the commerce of Thailand. This study aimed to characterize the district-level spatial-temporal patterns of dengue in Thailand and explore if a dengue peak in Bangkok led the peaks of dengue in other Thai provinces. METHODS: Monthly dengue data at district level in Thailand from January 2004 to December 2017 were obtained and used to assess the spatial and seasonal patterns of dengue in Thailand. As our seasonal decomposition and cross-correlation analyses showed that dengue in Bangkok peaked in November, which was a few months after the dengue peak in most other provinces, we used a time-series generalized linear model to explore if there was another province in which the dengue case number was most predictive of dengue case numbers in other Thai provinces. RESULTS: The highest district-level annual dengue incidence rates (per 10,000) in the three time periods (i.e. 2004–2008, 2009–2013 and 2014–2017) were 58.08 (Samphanthawong), 85.93 (Mueang Krabi), and 66.60 (Mae Sariang), respectively. Dengue incidence rates in the western part of Northern Thailand, southern part of Central Thailand, southern part of Eastern Thailand, and Southern Thailand were higher than in other regions. Dengue in most districts of Thailand peaked in June, July or August, but dengue peaks in all districts of Bangkok occurred in November. The number of dengue cases in Nakhon Ratchasima was most predictive of the number of dengue cases in other provinces in Thailand by a one-month lag. CONCLUSIONS: Our results suggest that the dengue peak in Bangkok did not lead the peaks of dengue in other Thai provinces. Future research exploring how changes in socio-ecological factors (e.g. road network and climate factors) in Nakhon Ratchasima have affected the transmission of dengue in Thailand might shed some new light on the prevention and control of dengue.
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spelling pubmed-69588132020-01-17 Does Bangkok have a central role in the dengue dynamics of Thailand? Xu, Zhiwei Bambrick, Hilary Pongsumpun, Puntani Ming Tang, I. Yakob, Laith Devine, Gregor Frentiu, Francesca D. Williams, Gail Hu, Wenbiao Parasit Vectors Research BACKGROUND: Bangkok plays a central role in the commerce of Thailand. This study aimed to characterize the district-level spatial-temporal patterns of dengue in Thailand and explore if a dengue peak in Bangkok led the peaks of dengue in other Thai provinces. METHODS: Monthly dengue data at district level in Thailand from January 2004 to December 2017 were obtained and used to assess the spatial and seasonal patterns of dengue in Thailand. As our seasonal decomposition and cross-correlation analyses showed that dengue in Bangkok peaked in November, which was a few months after the dengue peak in most other provinces, we used a time-series generalized linear model to explore if there was another province in which the dengue case number was most predictive of dengue case numbers in other Thai provinces. RESULTS: The highest district-level annual dengue incidence rates (per 10,000) in the three time periods (i.e. 2004–2008, 2009–2013 and 2014–2017) were 58.08 (Samphanthawong), 85.93 (Mueang Krabi), and 66.60 (Mae Sariang), respectively. Dengue incidence rates in the western part of Northern Thailand, southern part of Central Thailand, southern part of Eastern Thailand, and Southern Thailand were higher than in other regions. Dengue in most districts of Thailand peaked in June, July or August, but dengue peaks in all districts of Bangkok occurred in November. The number of dengue cases in Nakhon Ratchasima was most predictive of the number of dengue cases in other provinces in Thailand by a one-month lag. CONCLUSIONS: Our results suggest that the dengue peak in Bangkok did not lead the peaks of dengue in other Thai provinces. Future research exploring how changes in socio-ecological factors (e.g. road network and climate factors) in Nakhon Ratchasima have affected the transmission of dengue in Thailand might shed some new light on the prevention and control of dengue. BioMed Central 2020-01-13 /pmc/articles/PMC6958813/ /pubmed/31931886 http://dx.doi.org/10.1186/s13071-020-3892-y 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 Research
Xu, Zhiwei
Bambrick, Hilary
Pongsumpun, Puntani
Ming Tang, I.
Yakob, Laith
Devine, Gregor
Frentiu, Francesca D.
Williams, Gail
Hu, Wenbiao
Does Bangkok have a central role in the dengue dynamics of Thailand?
title Does Bangkok have a central role in the dengue dynamics of Thailand?
title_full Does Bangkok have a central role in the dengue dynamics of Thailand?
title_fullStr Does Bangkok have a central role in the dengue dynamics of Thailand?
title_full_unstemmed Does Bangkok have a central role in the dengue dynamics of Thailand?
title_short Does Bangkok have a central role in the dengue dynamics of Thailand?
title_sort does bangkok have a central role in the dengue dynamics of thailand?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6958813/
https://www.ncbi.nlm.nih.gov/pubmed/31931886
http://dx.doi.org/10.1186/s13071-020-3892-y
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