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Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo

Malaria elimination will be challenging in countries that currently continue to bear high malaria burden. Sex‐ratio‐distorting gene drives, such as driving‐Y, could play a role in an integrated elimination strategy if they can effectively suppress vector populations. Using a spatially explicit, agen...

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Detalles Bibliográficos
Autores principales: Metchanun, Nawaphan, Borgemeister, Christian, Amzati, Gaston, von Braun, Joachim, Nikolov, Milen, Selvaraj, Prashanth, Gerardin, Jaline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792473/
https://www.ncbi.nlm.nih.gov/pubmed/35126652
http://dx.doi.org/10.1111/eva.13331
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author Metchanun, Nawaphan
Borgemeister, Christian
Amzati, Gaston
von Braun, Joachim
Nikolov, Milen
Selvaraj, Prashanth
Gerardin, Jaline
author_facet Metchanun, Nawaphan
Borgemeister, Christian
Amzati, Gaston
von Braun, Joachim
Nikolov, Milen
Selvaraj, Prashanth
Gerardin, Jaline
author_sort Metchanun, Nawaphan
collection PubMed
description Malaria elimination will be challenging in countries that currently continue to bear high malaria burden. Sex‐ratio‐distorting gene drives, such as driving‐Y, could play a role in an integrated elimination strategy if they can effectively suppress vector populations. Using a spatially explicit, agent‐based model of malaria transmission in eight provinces spanning the range of transmission intensities across the Democratic Republic of the Congo, we predict the impact and cost‐effectiveness of integrating driving‐Y gene drive mosquitoes in malaria elimination strategies that include existing interventions such as insecticide‐treated nets and case management of symptomatic malaria. Gene drive mosquitoes could eliminate malaria and were the most cost‐effective intervention overall if the drive component was highly effective with at least 95% X‐shredder efficiency at relatively low fertility cost, and associated cost of deployment below 7.17 $int per person per year. Suppression gene drive could be a cost‐effective supplemental intervention for malaria elimination, but tight constraints on drive effectiveness and cost ceilings may limit its feasibility.
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spelling pubmed-87924732022-02-04 Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo Metchanun, Nawaphan Borgemeister, Christian Amzati, Gaston von Braun, Joachim Nikolov, Milen Selvaraj, Prashanth Gerardin, Jaline Evol Appl Original Articles Malaria elimination will be challenging in countries that currently continue to bear high malaria burden. Sex‐ratio‐distorting gene drives, such as driving‐Y, could play a role in an integrated elimination strategy if they can effectively suppress vector populations. Using a spatially explicit, agent‐based model of malaria transmission in eight provinces spanning the range of transmission intensities across the Democratic Republic of the Congo, we predict the impact and cost‐effectiveness of integrating driving‐Y gene drive mosquitoes in malaria elimination strategies that include existing interventions such as insecticide‐treated nets and case management of symptomatic malaria. Gene drive mosquitoes could eliminate malaria and were the most cost‐effective intervention overall if the drive component was highly effective with at least 95% X‐shredder efficiency at relatively low fertility cost, and associated cost of deployment below 7.17 $int per person per year. Suppression gene drive could be a cost‐effective supplemental intervention for malaria elimination, but tight constraints on drive effectiveness and cost ceilings may limit its feasibility. John Wiley and Sons Inc. 2022-01-07 /pmc/articles/PMC8792473/ /pubmed/35126652 http://dx.doi.org/10.1111/eva.13331 Text en © 2022 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Metchanun, Nawaphan
Borgemeister, Christian
Amzati, Gaston
von Braun, Joachim
Nikolov, Milen
Selvaraj, Prashanth
Gerardin, Jaline
Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo
title Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo
title_full Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo
title_fullStr Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo
title_full_unstemmed Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo
title_short Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo
title_sort modeling impact and cost‐effectiveness of driving‐y gene drives for malaria elimination in the democratic republic of the congo
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792473/
https://www.ncbi.nlm.nih.gov/pubmed/35126652
http://dx.doi.org/10.1111/eva.13331
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