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Background The impact of the COVID‐19 pandemic on European gynaecological cancer patients under active treatment or follow‐up has not been documented. We sought to capture the patient perceptions of the COVID‐19 implications and the worldwide imposed treatment modifications. Methods A patient survey was conducted in 16 European countries, using a new COVID‐19‐related questionnaire, developed by ENGAGe and the Hospital Anxiety & Depression Scale questionnaire (HADS). The survey was promoted by national patient advocacy groups and charitable organisations. Findings We collected 1388 forms; 592 online and 796 hard‐copy (May, 2020). We excluded 137 due to missing data. Median patients’ age was 55 years (range: 18–89), 54.7% had ovarian cancer and 15.5% were preoperative. Even though 73.2% of patients named cancer as a risk factor for COVID‐19, only 17.5% were more afraid of COVID‐19 than their cancer condition, with advanced age (>70 years) as the only significant risk factor for that. Overall, 71% were concerned about cancer progression if their treatment/follow‐up was cancelled/postponed. Most patients (64%) had their care continued as planned, but 72.3% (n = 892) said that they received no information around overall COVID‐19 infection rates of patients and staff, testing or measures taken in their treating hospital. Mean HADS Anxiety and Depression Scores were 8.8 (range: 5.3–12) and 8.1 (range: 3.8–13.4), respectively. Multivariate analysis identified high HADS‐depression scores, having experienced modifications of care due to the pandemic and concern about not being able to visit their doctor as independent predictors of patients’ anxiety. Interpretation Gynaecological cancer patients expressed significant anxiety about progression of their disease due to modifications of care related to the COVID‐19 pandemic and wished to pursue their treatment as planned despite the associated risks. Healthcare professionals should take this into consideration when making decisions that impact patients care in times of crisis and to develop initiatives to improve patients’ communication and education., Gynaecological cancer patients in Europe appeal for more transparency and continuation of high standard oncologic care even in times of crisis like the COVID‐19 pandemic.

In this paper the authors investigate how the autonomous agents methodology can be used for modeling and simulation of urban traffic systems. The proposed approach allows one to directly include subjective measures for characterizing driver behavior through a specific information set, different goals and different strategies. A description of the basic agent models, such as driver, traffic light and toll, is reported. An object oriented modeling and simulation environment has been implemented in JAVA in order to allow the system to run on different platforms. Moreover, JAVA, through its multithread structure, is particularly well suited to the representation of a multiagent population

This paper deals with the problems of highway monitoring and control. For these problems a new approach is proposed which is made up by a simulation modelbased on the stochastic description of the system behaviour. It may be very useful in order to define control strategies such as ramp metering and speed limitations. A model evaluation is also performed with reference to an application to the Italian freeway network.