FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387157989> ?p ?o ?g. }

• W4387157989 abstract "Abstract Background Up until the present, pyrethroid-treated bed nets have been a key tool for vector control in the fight against malaria. A global system that sets standards and facilitates procurement has successfully driven down the price of these bed nets to enable more of them to be distributed. As a result of their mass rollout, malaria cases have been significantly reduced, but pyrethroid resistance is now widespread. Going forward, new insecticides have been and continue to be developed for use on bed nets, but it is unclear how to best deploy them for maximum impact. Methods Here, an app for the optimization of bed nets based on their insecticide loading concentration and deployment lifespan is presented. Underlying the app are simple models that incorporate the chemical and physical properties of bed nets, and the genetic and ecological properties of resistance evolution in mosquitoes. Where possible, default parameter values are fitted from experimental data. The app numerically searches across a massive number of these simple models with variable loading and lifespan to find their optima under different criteria that constrain the options for vector control. Results The app is not intended to provide a definite answer about the best bed net design, but allows for the quantative exploration of trade-offs and constraints under different conditions. Here, results for the deployment of a new insecticide are explored under default parameter values across public health budgets for the purchase of bed nets. Optimization can lead to substantial gains in the average control of the mosquito population, and these gains are comparatively greater with lower budgets. Whilst optimizing a bed net within the constraints of the incentives of the existing system of standards and procurement leads to substantially greater control than not optimizing the bed net, optimizing the bed net without constraints leads to yet substantially greater control. The most important factor in this optimization is coverage, which depends on the price per bed net. With this in mind, it is unsurprising that the optimization for plausible budgets suggests that a pyrethroid would be the preferred partner for a new insecticide under current constraints because it is cost-effective in the balance of being less expensive than the new insecticide but also less effective due to pre-existing resistance. Surprisingly, a pyrethroid is shown to be an effective partner for a new insecticide in this model because of its contribution to resistance management in delaying the onset of resistance to the new insecticide. Conclusions This study highlights the importance of trade-offs in the design of bed nets for vector control. Further, it suggests that there are challenges in the roll-out of bed nets with new insecticides because of the constraints imposed by the global system of standards and procurement, which currently fails to adequately incentivize important considerations in bed net design like resistance management." @default.
• W4387157989 created "2023-09-30" @default.
• W4387157989 creator A5001516926 @default.
• W4387157989 creator A5013346171 @default.
• W4387157989 creator A5069776110 @default.
• W4387157989 date "2023-09-29" @default.
• W4387157989 modified "2023-10-14" @default.
• W4387157989 title "Optimization of long-lasting insecticidal bed nets for resistance management: a modelling study and user-friendly app" @default.
• W4387157989 cites W1729017034 @default.
• W4387157989 cites W1972528017 @default.
• W4387157989 cites W1991677677 @default.
• W4387157989 cites W2004778468 @default.
• W4387157989 cites W2146786634 @default.
• W4387157989 cites W2154246179 @default.
• W4387157989 cites W2169360200 @default.
• W4387157989 cites W2266458160 @default.
• W4387157989 cites W2280220883 @default.
• W4387157989 cites W2578266108 @default.
• W4387157989 cites W2797004376 @default.
• W4387157989 cites W2999516102 @default.
• W4387157989 cites W3016427330 @default.
• W4387157989 cites W3136986912 @default.
• W4387157989 cites W3194094077 @default.
• W4387157989 cites W3195489472 @default.
• W4387157989 doi "https://doi.org/10.1186/s12936-023-04724-x" @default.
• W4387157989 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37773062" @default.
• W4387157989 hasPublicationYear "2023" @default.
• W4387157989 type Work @default.
• W4387157989 citedByCount "0" @default.
• W4387157989 crossrefType "journal-article" @default.
• W4387157989 hasAuthorship W4387157989A5001516926 @default.
• W4387157989 hasAuthorship W4387157989A5013346171 @default.
• W4387157989 hasAuthorship W4387157989A5069776110 @default.
• W4387157989 hasBestOaLocation W43871579891 @default.
• W4387157989 hasConcept C105339364 @default.
• W4387157989 hasConcept C111919701 @default.
• W4387157989 hasConcept C127413603 @default.
• W4387157989 hasConcept C144133560 @default.
• W4387157989 hasConcept C162853370 @default.
• W4387157989 hasConcept C18903297 @default.
• W4387157989 hasConcept C201650216 @default.
• W4387157989 hasConcept C203014093 @default.
• W4387157989 hasConcept C2778048844 @default.
• W4387157989 hasConcept C2779985137 @default.
• W4387157989 hasConcept C2908647359 @default.
• W4387157989 hasConcept C2992837615 @default.
• W4387157989 hasConcept C3018553130 @default.
• W4387157989 hasConcept C33070731 @default.
• W4387157989 hasConcept C41008148 @default.
• W4387157989 hasConcept C42475967 @default.
• W4387157989 hasConcept C57473165 @default.
• W4387157989 hasConcept C71924100 @default.
• W4387157989 hasConcept C86803240 @default.
• W4387157989 hasConcept C99454951 @default.
• W4387157989 hasConceptScore W4387157989C105339364 @default.
• W4387157989 hasConceptScore W4387157989C111919701 @default.
• W4387157989 hasConceptScore W4387157989C127413603 @default.
• W4387157989 hasConceptScore W4387157989C144133560 @default.
• W4387157989 hasConceptScore W4387157989C162853370 @default.
• W4387157989 hasConceptScore W4387157989C18903297 @default.
• W4387157989 hasConceptScore W4387157989C201650216 @default.
• W4387157989 hasConceptScore W4387157989C203014093 @default.
• W4387157989 hasConceptScore W4387157989C2778048844 @default.
• W4387157989 hasConceptScore W4387157989C2779985137 @default.
• W4387157989 hasConceptScore W4387157989C2908647359 @default.
• W4387157989 hasConceptScore W4387157989C2992837615 @default.
• W4387157989 hasConceptScore W4387157989C3018553130 @default.
• W4387157989 hasConceptScore W4387157989C33070731 @default.
• W4387157989 hasConceptScore W4387157989C41008148 @default.
• W4387157989 hasConceptScore W4387157989C42475967 @default.
• W4387157989 hasConceptScore W4387157989C57473165 @default.
• W4387157989 hasConceptScore W4387157989C71924100 @default.
• W4387157989 hasConceptScore W4387157989C86803240 @default.
• W4387157989 hasConceptScore W4387157989C99454951 @default.
• W4387157989 hasIssue "1" @default.
• W4387157989 hasLocation W43871579891 @default.
• W4387157989 hasLocation W43871579892 @default.
• W4387157989 hasOpenAccess W4387157989 @default.
• W4387157989 hasPrimaryLocation W43871579891 @default.
• W4387157989 hasRelatedWork W1938751554 @default.
• W4387157989 hasRelatedWork W2042666274 @default.
• W4387157989 hasRelatedWork W2125871564 @default.
• W4387157989 hasRelatedWork W2126256240 @default.
• W4387157989 hasRelatedWork W2619010884 @default.
• W4387157989 hasRelatedWork W2731558710 @default.
• W4387157989 hasRelatedWork W3026392342 @default.
• W4387157989 hasRelatedWork W3081064854 @default.
• W4387157989 hasRelatedWork W3186830514 @default.
• W4387157989 hasRelatedWork W4220849568 @default.
• W4387157989 hasVolume "22" @default.
• W4387157989 isParatext "false" @default.
• W4387157989 isRetracted "false" @default.
• W4387157989 workType "article" @default.