Modelling to inform next-generation medical interventions for malaria prevention and treatment

Nekkab, Malinga, Braunack-Mayer et al. discuss how modelling can be incorporated early on in the research and development of malaria tools alongside clinical evidence and expert opinion. In addition, population models can provide estimates of potential effectiveness of novel interventions to inform...

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Main Authors: Narimane Nekkab, Josephine Malinga, Lydia Braunack-Mayer, Sherrie L. Kelly, R. Scott Miller, Melissa A. Penny
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-023-00274-0
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author Narimane Nekkab
Josephine Malinga
Lydia Braunack-Mayer
Sherrie L. Kelly
R. Scott Miller
Melissa A. Penny
author_facet Narimane Nekkab
Josephine Malinga
Lydia Braunack-Mayer
Sherrie L. Kelly
R. Scott Miller
Melissa A. Penny
author_sort Narimane Nekkab
collection DOAJ
description Nekkab, Malinga, Braunack-Mayer et al. discuss how modelling can be incorporated early on in the research and development of malaria tools alongside clinical evidence and expert opinion. In addition, population models can provide estimates of potential effectiveness of novel interventions to inform product criteria and support decision-making.
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spelling doaj.art-48c1f2385cb746a890d20946603b63cf2023-03-26T11:16:37ZengNature PortfolioCommunications Medicine2730-664X2023-03-01311610.1038/s43856-023-00274-0Modelling to inform next-generation medical interventions for malaria prevention and treatmentNarimane Nekkab0Josephine Malinga1Lydia Braunack-Mayer2Sherrie L. Kelly3R. Scott Miller4Melissa A. Penny5Swiss Tropical and Public Health InstituteSwiss Tropical and Public Health InstituteSwiss Tropical and Public Health InstituteSwiss Tropical and Public Health InstituteGates Medical Research InstituteSwiss Tropical and Public Health InstituteNekkab, Malinga, Braunack-Mayer et al. discuss how modelling can be incorporated early on in the research and development of malaria tools alongside clinical evidence and expert opinion. In addition, population models can provide estimates of potential effectiveness of novel interventions to inform product criteria and support decision-making.https://doi.org/10.1038/s43856-023-00274-0
spellingShingle Narimane Nekkab
Josephine Malinga
Lydia Braunack-Mayer
Sherrie L. Kelly
R. Scott Miller
Melissa A. Penny
Modelling to inform next-generation medical interventions for malaria prevention and treatment
Communications Medicine
title Modelling to inform next-generation medical interventions for malaria prevention and treatment
title_full Modelling to inform next-generation medical interventions for malaria prevention and treatment
title_fullStr Modelling to inform next-generation medical interventions for malaria prevention and treatment
title_full_unstemmed Modelling to inform next-generation medical interventions for malaria prevention and treatment
title_short Modelling to inform next-generation medical interventions for malaria prevention and treatment
title_sort modelling to inform next generation medical interventions for malaria prevention and treatment
url https://doi.org/10.1038/s43856-023-00274-0
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