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Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia

BACKGROUND: Approximately 70% of the global burden of dengue disease occurs on the Asian continent, where many large urban centres provide optimal environments for sustained endemic transmission and periodic epidemic cycles. Jakarta, the capital of Indonesia, is a densely populated megacity with hyp...

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Autores principales: O’Driscoll, Megan, Imai, Natsuko, Ferguson, Neil M., Hadinegoro, Sri Rezeki, Satari, Hindra Irawan, Tam, Clarence C., Dorigatti, Ilaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7080271/
https://www.ncbi.nlm.nih.gov/pubmed/32142516
http://dx.doi.org/10.1371/journal.pntd.0008102
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author O’Driscoll, Megan
Imai, Natsuko
Ferguson, Neil M.
Hadinegoro, Sri Rezeki
Satari, Hindra Irawan
Tam, Clarence C.
Dorigatti, Ilaria
author_facet O’Driscoll, Megan
Imai, Natsuko
Ferguson, Neil M.
Hadinegoro, Sri Rezeki
Satari, Hindra Irawan
Tam, Clarence C.
Dorigatti, Ilaria
author_sort O’Driscoll, Megan
collection PubMed
description BACKGROUND: Approximately 70% of the global burden of dengue disease occurs on the Asian continent, where many large urban centres provide optimal environments for sustained endemic transmission and periodic epidemic cycles. Jakarta, the capital of Indonesia, is a densely populated megacity with hyperendemic dengue transmission. Characterization of the spatiotemporal distribution of dengue transmission intensity is of key importance for optimal implementation of novel control and prevention programmes, including vaccination. In this paper we use mathematical models to provide the first detailed description of spatial and temporal variability in dengue transmission intensity in Jakarta. METHODOLOGY/PRINCIPAL FINDINGS: We applied catalytic models in a Bayesian framework to age-stratified dengue case notification data to estimate dengue force of infection and reporting probabilities in 42 subdistricts of Jakarta. The model was fitted to yearly and average annual data covering a 10-year period between 2008 and 2017. We estimated a long-term average annual transmission intensity of 0.130 (95%CrI: 0.129–0.131) per year in Jakarta province, ranging from 0.090 (95%CrI: 0.077–0.103) to 0.164 (95%CrI: 0.153–0.174) across subdistricts. Annual average transmission intensity in Jakarta province during the 10-year period ranged from 0.012 (95%CrI: 0.011–0.013) in 2017 to 0.124 (95%CrI: 0.121–0.128) in 2016. CONCLUSIONS/SIGNIFICANCE: While the absolute number of dengue case notifications cannot be relied upon as a measure of endemicity, the age-distribution of reported dengue cases provides valuable insights into the underlying nature of transmission. Our estimates from yearly and average annual case notification data represent the first detailed estimates of dengue transmission intensity in Jakarta’s subdistricts. These will be important to consider when assessing the population-level impact and cost-effectiveness of potential control and prevention programmes in Jakarta province, such as the controlled release of Wolbachia-carrying mosquitoes and vaccination.
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spelling pubmed-70802712020-03-24 Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia O’Driscoll, Megan Imai, Natsuko Ferguson, Neil M. Hadinegoro, Sri Rezeki Satari, Hindra Irawan Tam, Clarence C. Dorigatti, Ilaria PLoS Negl Trop Dis Research Article BACKGROUND: Approximately 70% of the global burden of dengue disease occurs on the Asian continent, where many large urban centres provide optimal environments for sustained endemic transmission and periodic epidemic cycles. Jakarta, the capital of Indonesia, is a densely populated megacity with hyperendemic dengue transmission. Characterization of the spatiotemporal distribution of dengue transmission intensity is of key importance for optimal implementation of novel control and prevention programmes, including vaccination. In this paper we use mathematical models to provide the first detailed description of spatial and temporal variability in dengue transmission intensity in Jakarta. METHODOLOGY/PRINCIPAL FINDINGS: We applied catalytic models in a Bayesian framework to age-stratified dengue case notification data to estimate dengue force of infection and reporting probabilities in 42 subdistricts of Jakarta. The model was fitted to yearly and average annual data covering a 10-year period between 2008 and 2017. We estimated a long-term average annual transmission intensity of 0.130 (95%CrI: 0.129–0.131) per year in Jakarta province, ranging from 0.090 (95%CrI: 0.077–0.103) to 0.164 (95%CrI: 0.153–0.174) across subdistricts. Annual average transmission intensity in Jakarta province during the 10-year period ranged from 0.012 (95%CrI: 0.011–0.013) in 2017 to 0.124 (95%CrI: 0.121–0.128) in 2016. CONCLUSIONS/SIGNIFICANCE: While the absolute number of dengue case notifications cannot be relied upon as a measure of endemicity, the age-distribution of reported dengue cases provides valuable insights into the underlying nature of transmission. Our estimates from yearly and average annual case notification data represent the first detailed estimates of dengue transmission intensity in Jakarta’s subdistricts. These will be important to consider when assessing the population-level impact and cost-effectiveness of potential control and prevention programmes in Jakarta province, such as the controlled release of Wolbachia-carrying mosquitoes and vaccination. Public Library of Science 2020-03-06 /pmc/articles/PMC7080271/ /pubmed/32142516 http://dx.doi.org/10.1371/journal.pntd.0008102 Text en © 2020 O’Driscoll et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
O’Driscoll, Megan
Imai, Natsuko
Ferguson, Neil M.
Hadinegoro, Sri Rezeki
Satari, Hindra Irawan
Tam, Clarence C.
Dorigatti, Ilaria
Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia
title Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia
title_full Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia
title_fullStr Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia
title_full_unstemmed Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia
title_short Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia
title_sort spatiotemporal variability in dengue transmission intensity in jakarta, indonesia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7080271/
https://www.ncbi.nlm.nih.gov/pubmed/32142516
http://dx.doi.org/10.1371/journal.pntd.0008102
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