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Abstract Objectives The enhanced safety surveillance for seasonal influenza vaccines established by the European Medicines Agency is required each season. Therefore, a registry capable of rapidly detecting and evaluating potential new safety concerns is needed. The aim of the study is to demonstrate the effectiveness of the vaccine information system of the Valencia region to make a rapid assessment of the influenza vaccine safety and describe the safety of the two vaccine types used in the 2017/2018 season. Study design It is a population-based descriptive study. Methods Adverse events following immunization reports collected from 23rd October 2017 to 15th March 2018 were analyzed. Results A total of 55 adverse events for influenza vaccine were reported in season 2017/2018 with a reporting rate (RR) of 0.77 per 10,000 administered doses. Injection site reactions had a RR of 0.30 and 0.47 per 10,000 for subunit and adjuvanted vaccines, respectively. Differences per vaccine, sex, and risk group did not reach statistical significance. Conclusions Reported events of the two influenza vaccine types used were similar than in other seasons and consistent with their safety profiles. Highlights • The aim of enhanced surveillance is to rapidly detect a change in the reactogenicity. • Vaccine information system of the Valencia region is useful for rapid safety assessment. • Reported adverse events for influenza vaccines were consistent with safety profiles. [ABSTRACT FROM AUTHOR]

Be-FAST is a computer program based on a time-spatial stochastic spread mathematical model for studying the transmission of infectious livestock diseases within and between farms. The present work describes a new module integrated into Be-FAST to model the economic consequences of the spreading of classical swine fever (CSF) and other infectious livestock diseases within and between farms. CSF is financially one of the most damaging diseases in the swine industry worldwide. Specifically in Spain, the economic costs in the two last CSF epidemics (1997 and 2001) reached jointly more than 108 million euros. The present analysis suggests that severe CSF epidemics are associated with significant economic costs, approximately 80% of which are related to animal culling. Direct costs associated with control measures are strongly associated with the number of infected farms, while indirect costs are more strongly associated with epidemic duration. The economic model has been validated with economic information around the last outbreaks in Spain. These results suggest that our economic module may be useful for analysing and predicting economic consequences of livestock disease epidemics. [ABSTRACT FROM AUTHOR]

Abstract: A new, recently published, stochastic and spatial model for the evaluation of classical swine fever virus (CSFV) spread into Spain has been validated by using several methods. Internal validity, sensitivity analysis, validation using historical data, comparison with other models and experiments on data validity were used to evaluate the overall reliability and consistency of the model. More than 100 modifications in input data and parameters were evaluated. Outputs were obtained after 1000 iterations for each new scenario of the model. As a result, the model was shown to be consistent, being the probability of infection by local spread, the time from infectious to clinical signs state, the probability of detection based on clinical signs at day t after detection of the index case outside the control and surveillance zones and the maximum number of farms to be depopulated at day t the parameters that have more influence (>10% of change) on the magnitude and duration of the epidemic. The combination of a within- and between-farm spread model was also shown to give significantly different results than using a purely between-farm spread model. Methods and results presented here were intended to be useful to better understand and apply the model, to identify key parameters for which it will be critical to have good estimates and to provide better support for prevention and control of future CSFV outbreaks. [Copyright &y& Elsevier]