ABSTRACT
Background: At present few data have clearly showed an increased frequency of idiopathic central precocious puberty (CPP) in females during the COVID-19 pandemic. The role of environmental factors is not fully understood and various hypotheses have been formulated. Aims of the Study: To evaluate retrospectively the incidence of newly diagnosed CPP and other pubertal disorders (premature thelarche, early puberty, fast puberty and precocious menarche) in two regions of Italy (Tuscany and Emilia-Romagna) during and after the lockdown for COVID-19. Patients and Methods: The study included 440 females evaluated for pubertal disorders into the Centres of Florence, Parma, Reggio Emilia and Modena between the 1 January 2020 into the 31 December 2021. Subjects with endocrine or chronic diseases were excluded. Monthly incidence rates and clinical features were compared with a control group of patients evaluated for the same problems into 2019. Result(s): Our data confirmed a higher frequency of CPP in females (261 patients, mean age 7.6 +/- 0.6 years, without significant differences between the diagnoses carried out in 2020 and 2021) compared to 2019 (52 cases, mean age 7.5 +/- 0.7 years, p < 0.0001). Interestingly, CPP cases were significantly higher also in the first two months of 2020, so before the start of Italian lockdown and just before the Sars-COV-2 pandemic was declared (21 cases vs. 7 in the same period of 2019;p < 0.0001). Our preliminar data seem also to suggest an increased frequency of the diagnoses of premature thelarche (54 patients in 2021 and 31 patients in 2020 vs 21 patients in 2019, respectively p < 0.0001 and < 0.05;between 2020 and 2021: p < 0.0001), early puberty (31 patients in 2021 and 25 patients in 2020 vs 16 patients in 2019, respectively p < 0.0001 and p < 0.05), fast puberty (20 patients in 2020 vs 5 patients in 2019 and 2021;respectively, p < 0.0001) and precocious menarche (9 patients in 2021 vs 3 patients in 2019 and 4 patients in 2020;p < 0.0001). Conclusion(s): Our data, on the one hand, confirm an increase in the frequency of new cases of CPP during and after the lockdown for COVID-19 pandemic, but also show an increase, albeit differently distributed in these 2 years of epidemic, in other pubertal development disorders. Interestingly, this could delineate different factors involved in the genesis of these disorders. Further studies and insights appear necessary to better explain these aspects.
ABSTRACT
The recent development of location detection systems allows to monitor, understand and predict the activity patterns of the city users. In this framework, the research focuses on the analysis of a sample of aggregated traffic data, based on the number of mobile devices detected through a network of 55 Wi-Fi Access Points in Milan. Data was collected over 7 months (January to July 2020), allowing for a study on the impact of the Covid-19 pandemic on activity patterns. Data analysis was based on merging: (i) time series analysis of trends, peak hours and mobility profiles;(ii) GIS-based spatial analysis of land data and Public Transport data. Results showed the effectiveness of Wi-Fi location data to monitor and characterize long-term trends about activity patterns in large scale urban scenarios. Results also showed a significant correlation between Wi-Fi data and the density distribution of residential buildings, service and transportation facilities, entertainment, financial amenities, department stores and bike-sharing docking stations. In this context, a Suitability Analysis Index is proposed, aiming at identifying the areas of Milan which could be exploited for more extensive data collection campaigns by means of the installation of additional Wi-Fi sensors. Future work is based on the development of Wi-Fi sensing applications for monitoring mobility data in real time.