Optimising the deployment of vector control tools against malaria: a data-informed modelling study
File(s)1-s2.0-S2542519621002965-main.pdf (648.34 KB)
Published version
Author(s)
Type
Journal Article
Abstract
Background
Concern that insecticide resistant mosquitoes are threatening malaria control has driven the development of new types of insecticide treated nets (ITNs) and indoor residual spraying (IRS). Malaria control programmes have a choice of vector control interventions though it is unclear which should be used to combat the disease.
Methods
The entomological impact of ITNs combining a pyrethroid insecticide with the synergist piperonyl butoxide (PBO) is characterised from experimental hut trials and used to parameterise a malaria transmission dynamics model. Model projections are validated for two sites by comparing results to data from pyrethroid-PBO ITN and IRS randomised control trials (RCTs). Models are used to identify optimum intervention packages for scenarios with varying budget, price, entomological and epidemiological factors.
Findings
Combining entomological data and models can reasonably predict changes in malaria in the Tanzanian and Ugandan RCTs. Models indicate switching from pyrethroid-only to pyrethroid-PBO ITNs could avert up to twice as many cases, though the additional benefit is highly variable and depends upon setting. Annual delivery of long-lasting, non-pyrethroid IRS is projected to prevent substantially more cases over 3-years, but pyrethroid-PBO ITNs tend to be the most cost-effective intervention per case averted. An online tool (MINT) provides users with a method of designing intervention packages given their setting and budget.
Interpretation
The most cost-effective vector control package will vary locally. Models able to recreate results of RCTs can be used to extrapolate outcomes elsewhere to support evidence-based decision making for investment in vector control.
Funding
Medical Research Council, IVCC, Wellcome Trust.
Concern that insecticide resistant mosquitoes are threatening malaria control has driven the development of new types of insecticide treated nets (ITNs) and indoor residual spraying (IRS). Malaria control programmes have a choice of vector control interventions though it is unclear which should be used to combat the disease.
Methods
The entomological impact of ITNs combining a pyrethroid insecticide with the synergist piperonyl butoxide (PBO) is characterised from experimental hut trials and used to parameterise a malaria transmission dynamics model. Model projections are validated for two sites by comparing results to data from pyrethroid-PBO ITN and IRS randomised control trials (RCTs). Models are used to identify optimum intervention packages for scenarios with varying budget, price, entomological and epidemiological factors.
Findings
Combining entomological data and models can reasonably predict changes in malaria in the Tanzanian and Ugandan RCTs. Models indicate switching from pyrethroid-only to pyrethroid-PBO ITNs could avert up to twice as many cases, though the additional benefit is highly variable and depends upon setting. Annual delivery of long-lasting, non-pyrethroid IRS is projected to prevent substantially more cases over 3-years, but pyrethroid-PBO ITNs tend to be the most cost-effective intervention per case averted. An online tool (MINT) provides users with a method of designing intervention packages given their setting and budget.
Interpretation
The most cost-effective vector control package will vary locally. Models able to recreate results of RCTs can be used to extrapolate outcomes elsewhere to support evidence-based decision making for investment in vector control.
Funding
Medical Research Council, IVCC, Wellcome Trust.
Date Issued
2022-02
Date Acceptance
2021-10-29
Citation
The Lancet Planetary Health, 2022, 6 (2), pp.e100-e109
ISSN
2542-5196
Publisher
Elsevier
Start Page
e100
End Page
e109
Journal / Book Title
The Lancet Planetary Health
Volume
6
Issue
2
Copyright Statement
© 2022 Elsevier Ltd. All rights reserved. This is an Open Access article under the CC BY 4.0 license
License URL
Sponsor
IVCC
UK Research and Innovation
IVCC
Wellcome Trust
Medical Research Council (MRC)
Identifier
https://www.sciencedirect.com/science/article/pii/S2542519621002965?via%3Dihub
Grant Number
IVCC/Imperial Research Agreeme
MR/T041986/1
N/A
200222/B/15/Z
MR/R015600/1
Publication Status
Published
Date Publish Online
2022-01-20