The aim of the study is to apply mathematical methods to generate forecasts of the dynamics of random values of the percentage increase in the total number of infected people and the percentage increase in the total number of recovered and deceased patients. The obtained forecasts are used for retrospective forecasting of COVID-19 epidemic process dynamics in St. Petersburg and in Moscow.
View Article and Find Full Text PDFUnlabelled: Asthma is a heterogeneous chronic disease of airways. One of its endotypes is eosinophilic asthma, accompanied by both peripheral blood and airway eosinophilia, where severe eosinophilia is usually associated with more severe asthma. Anti - interleukin-5 (IL-5) monoclonal antibodies (MAb) can reduce eosinophil counts in peripheral blood and tissues in asthma patients.
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September 2018
Objectives: To propose an algorithm that relates the effectiveness of drugs for a wide range of diseases with the financial capabilities of patients.
Methods: Estimates of the volume of pharmaceuticals that are consumed in the Russian Federation by all segments of the population regardless of household income were considered. These were calculated using statistically valid probabilities of the appearance of various diseases, official state data on the structure of expenditures of various strata of the population, and the optimal choice of the most effective medicines with income restrictions taken into account.
Relevance: The present paper presents, for the first time in Russia, a comparative pharmacoeconomic analysis of using mirabegron (Betmiga) to treat overactive bladder (OAB).
Materials And Methods: Three medical technologies were evaluated: treatment of OAB with mirabegron 50 mg/day, solifenacin 5 mg/day and solifenacin 10 mg/day. In addition, the strategies of mirabegron and botulinum toxin type A were analyzed as a result of simulating the second-line treatment.
Objectives: Infections that are inadequately treated owing to acquired bacterial resistance are a leading cause of mortality. Rates of multidrug-resistant bacteria are rising, resulting in increased antibiotic failures and worsening patient outcomes. Mathematical modelling makes it possible to predict the future spread of bacterial antimicrobial resistance.
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