scholarly journals Environmental Distribution of the Radon in a Heavily Populated Area: Preliminary Hazard Evaluation and Inference on Risk Factors in Pescara, Central Italy

2011 ◽  
Vol 02 (08) ◽  
pp. 1118-1126
Author(s):  
Francesco Stoppa
Keyword(s):  
Risk Factors ◽  
Central Italy ◽  
Hazard Evaluation ◽  
Populated Area ◽  
Environmental Distribution

scholarly journals An automatically generated high-resolution earthquake catalogue for the 2016–2017 Central Italy seismic sequence, including P and S phase arrival times

2020 ◽  
Author(s):  
D Spallarossa ◽  
M Cattaneo ◽  
D Scafidi ◽  
M Michele ◽  
L Chiaraluce ◽  
...  
Keyword(s):  
Real Time ◽  
Central Italy ◽  
Earthquake Catalogue ◽  
Hazard Evaluation ◽  
Depth Range ◽  
Data Set ◽  
Epicentral Area ◽  
Earthquake Parameters ◽  
Waveform Data ◽  
Arrival Times

Summary The 2016–17 central Italy earthquake sequence began with the first mainshock near the town of Amatrice on August 24 (MW 6.0), and was followed by two subsequent large events near Visso on October 26 (MW 5.9) and Norcia on October 30 (MW 6.5), plus a cluster of 4 events with MW > 5.0 within few hours on January 18, 2017. The affected area had been monitored before the sequence started by the permanent Italian National Seismic Network (RSNC), and was enhanced during the sequence by temporary stations deployed by the National Institute of Geophysics and Volcanology and the British Geological Survey. By the middle of September, there was a dense network of 155 stations, with a mean separation in the epicentral area of 6–10 km, comparable to the most likely earthquake depth range in the region. This network configuration was kept stable for an entire year, producing 2.5 TB of continuous waveform recordings. Here we describe how this data was used to develop a large and comprehensive earthquake catalogue using the Complete Automatic Seismic Processor (CASP) procedure. This procedure detected more than 450,000 events in the year following the first mainshock, and determined their phase arrival times through an advanced picker engine (RSNI-Picker2), producing a set of about 7 million P- and 10 million S-wave arrival times. These were then used to locate the events using a non-linear location (NLL) algorithm, a 1D velocity model calibrated for the area, and station corrections and then to compute their local magnitudes (ML). The procedure was validated by comparison of the derived data for phase picks and earthquake parameters with a handpicked reference catalogue (hereinafter referred to as ‘RefCat’). The automated procedure takes less than 12 hours on an Intel Core-i7 workstation to analyse the primary waveform data and to detect and locate 3000 events on the most seismically active day of the sequence. This proves the concept that the CASP algorithm can provide effectively real-time data for input into daily operational earthquake forecasts, The results show that there have been significant improvements compared to RefCat obtained in the same period using manual phase picks. The number of detected and located events is higher (from 84,401 to 450,000), the magnitude of completeness is lower (from ML 1.4 to 0.6), and also the number of phase picks is greater with an average number of 72 picked arrival for a ML = 1.4 compared with 30 phases for RefCat using manual phase picking. These propagate into formal uncertainties of ± 0.9km in epicentral location and ± 1.5km in depth for the enhanced catalogue for the vast majority of the events. Together, these provide a significant improvement in the resolution of fine structures such as local planar structures and clusters, in particular the identification of shallow events occurring in parts of the crust previously thought to be inactive. The lower completeness magnitude provides a rich data set for development and testing of analysis techniques of seismic sequences evolution, including real-time, operational monitoring of b-value, time-dependent hazard evaluation and aftershock forecasting.

The “CO2-rich gas vents” of Mt. Amiata volcano (Tuscany, Central Italy): Geochemistry, genetic mechanism and hazard evaluation

2006 ◽  
Vol 25 (S1) ◽  
pp. 70-71
Author(s):  
Franco Tassi ◽  
Orlando Vaselli ◽  
Elena Lognoli ◽  
Fabrizio Cuccoli ◽  
Barbara Nisi ◽  
...  
Keyword(s):  
Central Italy ◽  
Genetic Mechanism ◽  
Hazard Evaluation

Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy

Geomorphology ◽  
1999 ◽  
Vol 31 (1-4) ◽  
pp. 181-216 ◽  
Author(s):  
Fausto Guzzetti ◽  
Alberto Carrara ◽  
Mauro Cardinali ◽  
Paola Reichenbach
Keyword(s):  
Central Italy ◽  
Landslide Hazard ◽  
Hazard Evaluation ◽  
Multi Scale

scholarly journals Staphylococcus aureus nasal carriage in the community: a survey from central Italy

2002 ◽  
Vol 129 (2) ◽  
pp. 417-420 ◽  
Author(s):  
G. ZANELLI ◽  
A. SANSONI ◽  
A. ZANCHI ◽  
S. CRESTI ◽  
S. POLLINI ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Antibiotic Susceptibility ◽  
Central Italy ◽  
Rare Event ◽  
Nasal Carriage ◽  
High Rate ◽  
Methicillin Resistant ◽  
Antibiotic Susceptibility Patterns ◽  
Susceptibility Patterns

Recently, concern has increased regarding the spread of methicillin-resistant Staphylococcus aureus (MRSA) in the community. We studied 812 subjects from central Italy to establish the rates of nasal carriage of S. aureus, and antibiotic susceptibility patterns, in the community. The prevalence of S. aureus nasal carriage was 30.5%. Only one subject, with predisposing risk factors for acquisition, was identified as carrier of MRSA (prevalence of 0.12%). The presence of MRSA in the community of our area still appears to be a rare event. Among methicillin-susceptible S. aureus (MSSA) isolates, a surprisingly high rate (18%) of resistance to rifampin was observed.

Risk Factors for Ovarian Cancer in Central Italy

2000 ◽  
Vol 79 (1) ◽  
pp. 50-54 ◽  
Author(s):  
Stefano Greggi ◽  
Fabio Parazzini ◽  
Maria Piera Paratore ◽  
Liliane Chatenoud ◽  
Francesco Legge ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ovarian Cancer ◽  
Central Italy

scholarly journals Risk Factors for Mortality in Adult COVID-19 Patients Who Develop Bloodstream Infections Mostly Caused by Antimicrobial-Resistant Organisms: Analysis at a Large Teaching Hospital in Italy

2021 ◽  
Vol 10 (8) ◽  
pp. 1752
Author(s):  
Brunella Posteraro ◽  
Giulia De Angelis ◽  
Giulia Menchinelli ◽  
Tiziana D’Inzeo ◽  
Barbara Fiori ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Central Italy ◽  
Bloodstream Infections ◽  
Multidrug Resistant ◽  
Resistant Organism ◽  
Kaplan Meier ◽  
Large Teaching Hospital ◽  
Hospital Acquired

The aim of this study was to characterize COVID-19 (SARS-CoV-2-infected) patients who develop bloodstream infection (BSI) and to assess risk factors associated with in-hospital mortality. We conducted a retrospective observational study of adult patients admitted for ≥48 h to a large Central Italy hospital for COVID-19 (1 March to 31 May 2020) who had or had not survived at discharge. We included only patients having blood cultures drawn or other inclusion criteria satisfied. Kaplan–Meier survival or Cox regression analyses were performed of 293 COVID-19 patients studied, 46 patients (15.7%) had a hospital-acquired clinically relevant BSI secondary to SARS-CoV-2 infection, accounting for 58 episodes (49 monomicrobial and 9 polymicrobial) in total. Twelve episodes (20.7%) occurred at day 3 of hospital admission. Sixty-nine species were isolated, including Staphylococcus aureus (32.8%), Enterobacterales (20.7%), Enterococcus faecalis (17.2%), Candida (13.8%) and Pseudomonas aeruginosa (10.3%). Of 69 isolates, 27 (39.1%) were multidrug-resistant organisms. Twelve (54.5%) of 22 patients for whom empirical antimicrobial therapy was inappropriate were infected by a multidrug-resistant organism. Of 46 patients, 26 (56.5%) survived and 20 (43.5%) died. Exploring variables for association with in-hospital mortality identified > 75-year age (HR 2.97, 95% CI 1.15–7.68, p = 0.02), septic shock (HR 6.55, 95% CI 2.36–18.23, p < 0.001) and BSI onset ≤ 3 days (HR 4.68, 95% CI 1.40–15.63, p = 0.01) as risk factors independently associated with death. In our hospital, mortality among COVID-19 patients with BSI was high. While continued vigilance against these infections is essential, identification of risk factors for mortality may help to reduce fatal outcomes in patients with COVID-19.

scholarly journals Seismic-hazard evaluation in Central Italy: preliminary results of the Rieti Basin project

1993 ◽  
Vol 36 (1) ◽  
Author(s):  
F. Brunamonte ◽  
A. M. Michetti ◽  
L. Serva ◽  
E. Vittori
Keyword(s):  
Seismic Hazard ◽  
Central Italy ◽  
Hazard Evaluation ◽  
Preliminary Results ◽  
Seismic Hazard Evaluation
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