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Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan
Bhutan experienced its largest and first nation-wide dengue epidemic in 2019. The cases in 2019 were greater than the total number of cases in all the previous years. This study aimed to characterize the spatiotemporal patterns and effective reproduction number of this explosive epidemic. Weekly not...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796457/ https://www.ncbi.nlm.nih.gov/pubmed/33466497 http://dx.doi.org/10.3390/ijerph18010354 |
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author | Tsheten, Tsheten Mclure, Angus Clements, Archie C. A. Gray, Darren J. Wangdi, Tenzin Wangchuk, Sonam Wangdi, Kinley |
author_facet | Tsheten, Tsheten Mclure, Angus Clements, Archie C. A. Gray, Darren J. Wangdi, Tenzin Wangchuk, Sonam Wangdi, Kinley |
author_sort | Tsheten, Tsheten |
collection | PubMed |
description | Bhutan experienced its largest and first nation-wide dengue epidemic in 2019. The cases in 2019 were greater than the total number of cases in all the previous years. This study aimed to characterize the spatiotemporal patterns and effective reproduction number of this explosive epidemic. Weekly notified dengue cases were extracted from the National Early Warning, Alert, Response and Surveillance (NEWARS) database to describe the spatial and temporal patterns of the epidemic. The time-varying, temperature-adjusted cohort effective reproduction number was estimated over the course of the epidemic. The dengue epidemic occurred between 29 April and 8 December 2019 over 32 weeks, and included 5935 cases. During the epidemic, dengue expanded from six to 44 subdistricts. The effective reproduction number was <3 for most of the epidemic period, except for a ≈1 month period of explosive growth, coinciding with the monsoon season and school vacations, when the effective reproduction number peaked >30 and after which the effective reproduction number declined steadily. Interventions were only initiated 6 weeks after the end of the period of explosive growth. This finding highlights the need to reinforce the national preparedness plan for outbreak response, and to enable the early detection of cases and timely response. |
format | Online Article Text |
id | pubmed-7796457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77964572021-01-10 Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan Tsheten, Tsheten Mclure, Angus Clements, Archie C. A. Gray, Darren J. Wangdi, Tenzin Wangchuk, Sonam Wangdi, Kinley Int J Environ Res Public Health Article Bhutan experienced its largest and first nation-wide dengue epidemic in 2019. The cases in 2019 were greater than the total number of cases in all the previous years. This study aimed to characterize the spatiotemporal patterns and effective reproduction number of this explosive epidemic. Weekly notified dengue cases were extracted from the National Early Warning, Alert, Response and Surveillance (NEWARS) database to describe the spatial and temporal patterns of the epidemic. The time-varying, temperature-adjusted cohort effective reproduction number was estimated over the course of the epidemic. The dengue epidemic occurred between 29 April and 8 December 2019 over 32 weeks, and included 5935 cases. During the epidemic, dengue expanded from six to 44 subdistricts. The effective reproduction number was <3 for most of the epidemic period, except for a ≈1 month period of explosive growth, coinciding with the monsoon season and school vacations, when the effective reproduction number peaked >30 and after which the effective reproduction number declined steadily. Interventions were only initiated 6 weeks after the end of the period of explosive growth. This finding highlights the need to reinforce the national preparedness plan for outbreak response, and to enable the early detection of cases and timely response. MDPI 2021-01-05 2021-01 /pmc/articles/PMC7796457/ /pubmed/33466497 http://dx.doi.org/10.3390/ijerph18010354 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tsheten, Tsheten Mclure, Angus Clements, Archie C. A. Gray, Darren J. Wangdi, Tenzin Wangchuk, Sonam Wangdi, Kinley Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan |
title | Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan |
title_full | Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan |
title_fullStr | Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan |
title_full_unstemmed | Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan |
title_short | Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan |
title_sort | epidemiological analysis of the 2019 dengue epidemic in bhutan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796457/ https://www.ncbi.nlm.nih.gov/pubmed/33466497 http://dx.doi.org/10.3390/ijerph18010354 |
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