11,384 research outputs found
Construals as a complement to intelligent tutoring systems in medical education
This is a preliminary version of a report prepared by Meurig and Will Beynon in conjunction with a poster paper "Mediating Intelligence through Observation, Dependency and Agency in Making Construals of Malaria" at the 11th International Conference on Intelligent Tutoring Systems (ITS 2012) and a paper "Construals to Support Exploratory and Collaborative Learning in Medicine" at the associated workshop on Intelligent Support for Exploratory Environments (ISEE 2012). A final version of the report will be published at a later stage after feedback from presentations at these events has been taken into account, and the experimental versions of the JS-EDEN interpreter used in making construals have been developed to a more mature and stable form
Building a Computer-Based Expert System for Malaria Environmental Diagnosis: An Alternative Malaria Control Strategy
As a predominant environmental health problem in Africa, malaria constitutes a great threat to the existence of many communities. The harmful effects of malaria parasites to the
human body cannot be underestimated. In this paper, an expert system for malaria environmental diagnosis was presented for providing decision support to malaria researchers, institutes and other healthcare practitioners in malaria endemic regions of the world. The motivation behind this work was due to the insufficient malaria control measures in existence and the need to provide novel approaches towards malaria control. A malaria expert system
prototype was developed that involved a knowledge component, the application component (AC), the database system component (DC), the Graphical User Interface (GUI) component and the User component (UC). The User interface component was implemented using the Java Programming language. The application component was implemented using the Java Expert System Shell (JESS) and the Java IDE of Netbeans while the database component was implemented using SQL Server
Mass campaigns with antimalarial drugs: a modelling comparison of artemether-lumefantrine and DHA-piperaquine with and without primaquine as tools for malaria control and elimination
Antimalarial drugs are a powerful tool for malaria control and elimination.
Artemisinin-based combination therapies (ACTs) can reduce transmission when
widely distributed in a campaign setting. Modelling mass antimalarial campaigns
can elucidate how to most effectively deploy drug-based interventions and
quantitatively compare the effects of cure, prophylaxis, and
transmission-blocking in suppressing parasite prevalence. A previously
established agent-based model that includes innate and adaptive immunity was
used to simulate malaria infections and transmission. Pharmacokinetics of
artemether, lumefantrine, dihydroartemisinin, piperaquine, and primaquine were
modelled with a double-exponential distribution-elimination model including
weight-dependent parameters and age-dependent dosing. Drug killing of asexual
parasites and gametocytes was calibrated to clinical data. Mass distribution of
ACTs and primaquine was simulated with seasonal mosquito dynamics at a range of
transmission intensities. A single mass campaign with antimalarial drugs is
insufficient to permanently reduce malaria prevalence when transmission is
high. Current diagnostics are insufficiently sensitive to accurately identify
asymptomatic infections, and mass-screen-and-treat campaigns are much less
efficacious than mass drug administrations. Improving campaign coverage leads
to decreased prevalence one month after the end of the campaign, while
increasing compliance lengthens the duration of protection against reinfection.
Use of a long-lasting prophylactic as part of a mass drug administration
regimen confers the most benefit under conditions of high transmission and
moderately high coverage. Addition of primaquine can reduce prevalence but
exerts its largest effect when coupled with a long-lasting prophylactic.Comment: 14 pages, 5 figure
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