Evidence map›Paper›PMID 31495336›Full record

ArticleBMC medicine2019

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

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 and 6 more

Abstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. New microbes and new infections · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Kathleen M O'ReillyDepartment of Disease Control, Faculty of Infectious Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Emilie HendrickxCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Dinar D KharismaHeller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Nandyan N WilastonegoroFaculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Lauren B CarringtonOxford University Clinical Research Unit, Wellcome Trust Asia-Africa Programme, Ho Chi Minh City, Vietnam.
Iqbal R F ElyazarEijkman Oxford Clinical Research Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Adam J KucharskiCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Rachel LoweCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Stefan FlascheCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
David M PigottDepartment of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Robert C ReinerDepartment of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
W John EdmundsCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Simon I HayDepartment of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Laith YakobDepartment of Disease Control, Faculty of Infectious Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Donald S ShepardHeller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Oliver J BradyCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK. oliver.brady@lshtm.ac.uk.

Funding

Wellcome Trust 206250/Z/17/ZWellcome Trust 206471/Z/17/ZWellcome Trust 208812/Z/17/Z
6 · The paper itself

Abstract

backgroundWolbachia-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.

methodsHere, 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.

resultsWe 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.

conclusionsThese 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.

Indexed as

Models, TheoreticalWolbachiaAedesAnimalsCost of IllnessDengueDengue VirusHumansIndonesiaPest Control, BiologicalBurdenDengueEliminationIndonesiaMapsModelWolbachia

Identifiers

PMID31495336
PMCPMC6732838

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.