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Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study

BACKGROUND: Wolbachia-infected mosquitoes reduce dengue virus transmission, and city-wide releases in Yogyakarta city, Indonesia, are showing promising entomological results. Accurate estimates of the burden of dengue, its spatial distribution and the potential impact of Wolbachia are critical in gu...

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Autores principales: O’Reilly, Kathleen M., Hendrickx, Emilie, Kharisma, Dinar D., Wilastonegoro, Nandyan N., Carrington, Lauren B., Elyazar, Iqbal R. F., Kucharski, Adam J., Lowe, Rachel, Flasche, Stefan, Pigott, David M., Reiner, Robert C., Edmunds, W. John, Hay, Simon I., Yakob, Laith, Shepard, Donald S., Brady, Oliver J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732838/
https://www.ncbi.nlm.nih.gov/pubmed/31495336
http://dx.doi.org/10.1186/s12916-019-1396-4
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author O’Reilly, Kathleen M.
Hendrickx, Emilie
Kharisma, Dinar D.
Wilastonegoro, Nandyan N.
Carrington, Lauren B.
Elyazar, Iqbal R. F.
Kucharski, Adam J.
Lowe, Rachel
Flasche, Stefan
Pigott, David M.
Reiner, Robert C.
Edmunds, W. John
Hay, Simon I.
Yakob, Laith
Shepard, Donald S.
Brady, Oliver J.
author_facet O’Reilly, Kathleen M.
Hendrickx, Emilie
Kharisma, Dinar D.
Wilastonegoro, Nandyan N.
Carrington, Lauren B.
Elyazar, Iqbal R. F.
Kucharski, Adam J.
Lowe, Rachel
Flasche, Stefan
Pigott, David M.
Reiner, Robert C.
Edmunds, W. John
Hay, Simon I.
Yakob, Laith
Shepard, Donald S.
Brady, Oliver J.
author_sort O’Reilly, Kathleen M.
collection PubMed
description BACKGROUND: Wolbachia-infected mosquitoes reduce dengue virus transmission, and city-wide releases in Yogyakarta city, Indonesia, are showing promising entomological results. Accurate estimates of the burden of dengue, its spatial distribution and the potential impact of Wolbachia are critical in guiding funder and government decisions on its future wider use. METHODS: Here, we combine multiple modelling methods for burden estimation to predict national case burden disaggregated by severity and map the distribution of burden across the country using three separate data sources. An ensemble of transmission models then predicts the estimated reduction in dengue transmission following a nationwide roll-out of wMel Wolbachia. RESULTS: We estimate that 7.8 million (95% uncertainty interval [UI] 1.8–17.7 million) symptomatic dengue cases occurred in Indonesia in 2015 and were associated with 332,865 (UI 94,175–754,203) lost disability-adjusted life years (DALYs). The majority of dengue’s burden was due to non-severe cases that did not seek treatment or were challenging to diagnose in outpatient settings leading to substantial underreporting. Estimated burden was highly concentrated in a small number of large cities with 90% of dengue cases occurring in 15.3% of land area. Implementing a nationwide Wolbachia population replacement programme was estimated to avert 86.2% (UI 36.2–99.9%) of cases over a long-term average. CONCLUSIONS: These results suggest interventions targeted to the highest burden cities can have a disproportionate impact on dengue burden. Area-wide interventions, such as Wolbachia, that are deployed based on the area covered could protect people more efficiently than individual-based interventions, such as vaccines, in such dense environments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1396-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-67328382019-09-12 Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study O’Reilly, Kathleen M. Hendrickx, Emilie Kharisma, Dinar D. Wilastonegoro, Nandyan N. Carrington, Lauren B. Elyazar, Iqbal R. F. Kucharski, Adam J. Lowe, Rachel Flasche, Stefan Pigott, David M. Reiner, Robert C. Edmunds, W. John Hay, Simon I. Yakob, Laith Shepard, Donald S. Brady, Oliver J. BMC Med Research Article BACKGROUND: Wolbachia-infected mosquitoes reduce dengue virus transmission, and city-wide releases in Yogyakarta city, Indonesia, are showing promising entomological results. Accurate estimates of the burden of dengue, its spatial distribution and the potential impact of Wolbachia are critical in guiding funder and government decisions on its future wider use. METHODS: Here, we combine multiple modelling methods for burden estimation to predict national case burden disaggregated by severity and map the distribution of burden across the country using three separate data sources. An ensemble of transmission models then predicts the estimated reduction in dengue transmission following a nationwide roll-out of wMel Wolbachia. RESULTS: We estimate that 7.8 million (95% uncertainty interval [UI] 1.8–17.7 million) symptomatic dengue cases occurred in Indonesia in 2015 and were associated with 332,865 (UI 94,175–754,203) lost disability-adjusted life years (DALYs). The majority of dengue’s burden was due to non-severe cases that did not seek treatment or were challenging to diagnose in outpatient settings leading to substantial underreporting. Estimated burden was highly concentrated in a small number of large cities with 90% of dengue cases occurring in 15.3% of land area. Implementing a nationwide Wolbachia population replacement programme was estimated to avert 86.2% (UI 36.2–99.9%) of cases over a long-term average. CONCLUSIONS: These results suggest interventions targeted to the highest burden cities can have a disproportionate impact on dengue burden. Area-wide interventions, such as Wolbachia, that are deployed based on the area covered could protect people more efficiently than individual-based interventions, such as vaccines, in such dense environments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1396-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-09-09 /pmc/articles/PMC6732838/ /pubmed/31495336 http://dx.doi.org/10.1186/s12916-019-1396-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
O’Reilly, Kathleen M.
Hendrickx, Emilie
Kharisma, Dinar D.
Wilastonegoro, Nandyan N.
Carrington, Lauren B.
Elyazar, Iqbal R. F.
Kucharski, Adam J.
Lowe, Rachel
Flasche, Stefan
Pigott, David M.
Reiner, Robert C.
Edmunds, W. John
Hay, Simon I.
Yakob, Laith
Shepard, Donald S.
Brady, Oliver J.
Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study
title Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study
title_full Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study
title_fullStr Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study
title_full_unstemmed Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study
title_short Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study
title_sort estimating the burden of dengue and the impact of release of wmel wolbachia-infected mosquitoes in indonesia: a modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732838/
https://www.ncbi.nlm.nih.gov/pubmed/31495336
http://dx.doi.org/10.1186/s12916-019-1396-4
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