Metchanun, Nawaphan: Evaluating Novel Vector Control Strategies : Modeling the impact of gene editing for malaria elimination in the Democratic Republic of Congo. - Bonn, 2020. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5-59268
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5-59268
@phdthesis{handle:20.500.11811/8513,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5-59268,
author = {{Nawaphan Metchanun}},
title = {Evaluating Novel Vector Control Strategies : Modeling the impact of gene editing for malaria elimination in the Democratic Republic of Congo},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2020,
month = aug,
note = {The tremendous burden of malaria has led to renewed efforts focusing on malaria elimi-nation in the high burden countries. However, to achieve elimination, novel tools includ-ing driving-Y gene drive mosquitoes may be necessary in these settings. Gene drives offer a pathway to propagate transgenes and their associated phenotypes to future gen-erations more efficiently than the natural 50% probability, and driving-Y has been pro-posed as a gene drive mechanism for population suppression by ensuring offspring are predominantly male. This research systematically explores the potential impact of inte-grating driving-Y gene drive mosquitoes in malaria elimination strategies in the Demo-cratic Republic of the Congo (DRC) using a stochastic, spatially explicit, agent-based, mathematical model. In simulations of various intervention mixes in study locations across the country, releases of gene drive mosquitoes are capable of eliminating malaria and are the most cost-effective intervention overall with certain ranges of driving-Y parameters, specifically with high X-shredding rate. Our model results show that tailor-ing the frequency of releases and the number of gene drive mosquitoes to be released can make malaria elimination achievable within 5 years after a single release of gene drive mosquitoes under certain conditions, including but not limited to no importation of vectors or infections into the study areas. The cost of intervention in scenarios with and without gene drives suggest that the cost of gene drives affects the marginal costs of other malaria control methods. Gene drive is thus worth considering as a supplement to commonly used malaria interventions as long as the drive is sufficiently powerful and cost-effective. Broader discussion of gene drives has spanned from the feasibility and economic viability of the gene drive technology to concerns on environmental, and touching base on societal and ethical impacts of the technology. This research offers a framework to effectively plan gene drive strategies in malaria control in other high bur-den countries where parasite transmission intensity varies, identifies key aspects of both gene drive technology and its implementation that are fundamental for the technology to be a cost-effective component of a malaria control program. This helps advance the understanding of gene drives and how this or other novel tools can ultimately contribute to the elimination of malaria even in high-burden countries like the DRC.},
url = {https://hdl.handle.net/20.500.11811/8513}
}
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5-59268,
author = {{Nawaphan Metchanun}},
title = {Evaluating Novel Vector Control Strategies : Modeling the impact of gene editing for malaria elimination in the Democratic Republic of Congo},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2020,
month = aug,
note = {The tremendous burden of malaria has led to renewed efforts focusing on malaria elimi-nation in the high burden countries. However, to achieve elimination, novel tools includ-ing driving-Y gene drive mosquitoes may be necessary in these settings. Gene drives offer a pathway to propagate transgenes and their associated phenotypes to future gen-erations more efficiently than the natural 50% probability, and driving-Y has been pro-posed as a gene drive mechanism for population suppression by ensuring offspring are predominantly male. This research systematically explores the potential impact of inte-grating driving-Y gene drive mosquitoes in malaria elimination strategies in the Demo-cratic Republic of the Congo (DRC) using a stochastic, spatially explicit, agent-based, mathematical model. In simulations of various intervention mixes in study locations across the country, releases of gene drive mosquitoes are capable of eliminating malaria and are the most cost-effective intervention overall with certain ranges of driving-Y parameters, specifically with high X-shredding rate. Our model results show that tailor-ing the frequency of releases and the number of gene drive mosquitoes to be released can make malaria elimination achievable within 5 years after a single release of gene drive mosquitoes under certain conditions, including but not limited to no importation of vectors or infections into the study areas. The cost of intervention in scenarios with and without gene drives suggest that the cost of gene drives affects the marginal costs of other malaria control methods. Gene drive is thus worth considering as a supplement to commonly used malaria interventions as long as the drive is sufficiently powerful and cost-effective. Broader discussion of gene drives has spanned from the feasibility and economic viability of the gene drive technology to concerns on environmental, and touching base on societal and ethical impacts of the technology. This research offers a framework to effectively plan gene drive strategies in malaria control in other high bur-den countries where parasite transmission intensity varies, identifies key aspects of both gene drive technology and its implementation that are fundamental for the technology to be a cost-effective component of a malaria control program. This helps advance the understanding of gene drives and how this or other novel tools can ultimately contribute to the elimination of malaria even in high-burden countries like the DRC.},
url = {https://hdl.handle.net/20.500.11811/8513}
}