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

Abstract 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 critic...

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Main Authors: Kathleen M. O’Reilly, Emilie Hendrickx, Dinar D. Kharisma, Nandyan N. Wilastonegoro, Lauren B. Carrington, Iqbal R. F. Elyazar, Adam J. Kucharski, Rachel Lowe, Stefan Flasche, David M. Pigott, Robert C. Reiner, W. John Edmunds, Simon I. Hay, Laith Yakob, Donald S. Shepard, Oliver J. Brady
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BMC Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12916-019-1396-4
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spelling doaj-1b1572a07d7e414f9260f9ba69e1bf2f2020-11-25T03:22:02ZengBMCBMC Medicine1741-70152019-09-0117111410.1186/s12916-019-1396-4Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling studyKathleen M. O’Reilly0Emilie Hendrickx1Dinar D. Kharisma2Nandyan N. Wilastonegoro3Lauren B. Carrington4Iqbal R. F. Elyazar5Adam J. Kucharski6Rachel Lowe7Stefan Flasche8David M. Pigott9Robert C. Reiner10W. John Edmunds11Simon I. Hay12Laith Yakob13Donald S. Shepard14Oliver J. Brady15Department of Disease Control, Faculty of Infectious Tropical Diseases, London School of Hygiene & Tropical MedicineCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineHeller School for Social Policy and Management, Brandeis UniversityFaculty of Medicine, Public Health and Nursing, Universitas Gadjah MadaOxford University Clinical Research Unit, Wellcome Trust Asia-Africa ProgrammeEijkman Oxford Clinical Research Unit, Eijkman Institute for Molecular BiologyCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineDepartment of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of WashingtonDepartment of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of WashingtonCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineDepartment of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of WashingtonDepartment of Disease Control, Faculty of Infectious Tropical Diseases, London School of Hygiene & Tropical MedicineHeller School for Social Policy and Management, Brandeis UniversityCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineAbstract 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.http://link.springer.com/article/10.1186/s12916-019-1396-4DengueBurdenWolbachiaEliminationMapsModel
collection DOAJ
language English
format Article
sources DOAJ
author Kathleen M. O’Reilly
Emilie Hendrickx
Dinar D. Kharisma
Nandyan N. Wilastonegoro
Lauren B. Carrington
Iqbal R. F. Elyazar
Adam J. Kucharski
Rachel Lowe
Stefan Flasche
David M. Pigott
Robert C. Reiner
W. John Edmunds
Simon I. Hay
Laith Yakob
Donald S. Shepard
Oliver J. Brady
spellingShingle Kathleen M. O’Reilly
Emilie Hendrickx
Dinar D. Kharisma
Nandyan N. Wilastonegoro
Lauren B. Carrington
Iqbal R. F. Elyazar
Adam J. Kucharski
Rachel Lowe
Stefan Flasche
David M. Pigott
Robert C. Reiner
W. John Edmunds
Simon I. Hay
Laith Yakob
Donald S. Shepard
Oliver J. Brady
Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study
BMC Medicine
Dengue
Burden
Wolbachia
Elimination
Maps
Model
author_facet Kathleen M. O’Reilly
Emilie Hendrickx
Dinar D. Kharisma
Nandyan N. Wilastonegoro
Lauren B. Carrington
Iqbal R. F. Elyazar
Adam J. Kucharski
Rachel Lowe
Stefan Flasche
David M. Pigott
Robert C. Reiner
W. John Edmunds
Simon I. Hay
Laith Yakob
Donald S. Shepard
Oliver J. Brady
author_sort Kathleen M. O’Reilly
title 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_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_sort estimating the burden of dengue and the impact of release of wmel wolbachia-infected mosquitoes in indonesia: a modelling study
publisher BMC
series BMC Medicine
issn 1741-7015
publishDate 2019-09-01
description Abstract 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.
topic Dengue
Burden
Wolbachia
Elimination
Maps
Model
url http://link.springer.com/article/10.1186/s12916-019-1396-4
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