Publications by authors named "L Sampognaro"

Faecal contamination is a widespread environmental and public health problem on recreational beaches around the world. The implementation of predictive models has been recommended by the World Health Organization as a complement to traditional monitoring to assist decision-makers and reduce health risks. Despite several advances that have been made in the modeling of faecal coliforms, tools and algorithms from machine learning are still scarcely used in the field and their implementation in nowcast systems is delayed.

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Hymenoptera venom anaphylaxis (HVA) is reported in up to 3% of stings and accounts for approximately 40 US deaths annually. HVA patients require immediate availability of epinephrine and Allergist referrals for consideration of venom immunotherapy. Data regarding epinephrine autoinjector prescriptions, Allergist referral rates, and potential racial disparities are limited.

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Predicting water contamination by statistical models is a useful tool to manage health risk in recreational beaches. Extreme contamination events, i.e.

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Microcystis aeruginosa complex (MAC) encompasses noxious colonial bloom forming cyanobacteria. MAC representatives bloom in eutrophic freshwater and brackish ecosystems with stagnant water, were temperature and salinity are the main variables modulating their distribution, biomass and toxicity. Cell abundance and biovolume of MAC colonies define regulatory standards for public health.

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