Silvia Snidero
Biographic Data
| ID | 3926222 |
|---|---|
| NAME | Silvia Snidero |
| GIVEN NAMES | Silvia |
| FAMILY NAME | Snidero |
| SIGNATURE | SNIDERO S |
| AFFILIATIONS | Department of Statistics and Applied Mathematics, University of Torino, Italy, S&A S.r.l. - Surveys & Analyses, Torino, Italy |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
Scale-Up Approach in Cati Surveys for Estimating the Number of Foreign Body Injuries in the Aero-Digestive Tract in Children
Foreign body injuries are a well-known threat to children due to the high risk of ingestion of small objects and choking. In order to depict the epidemiological framework of such injuries, data are mostly available for hospitalizations and partially for emergency room visits. The hidden part of the phenomenon consisting of minor self-resolved injuries is still unknown. The purpose of this paper is to provide an estimate of the overall burden of s…
Adaptive Bayesian Networks for quantitative risk assessment of foreign body injuries in children
Injuries due to foreign body (FB) aspiration/ingestion/insertion represent a common public health issue in paediatric patients, which causes significant morbidity and mortality. The aim of this study is to present a Bayesian Network (BN) model for the identification of risk factors for FB injuries in children and provide their quantitative assessment. Combining a priori knowledge and observed data, a BN learning algorithm was used to generate the…
Question Order and Interviewer Effects in Cati Scale-up Surveys
The scale-up estimator is a network-based estimator for the size of hidden or hard to count subpopulations. Several issues arise in the public health context when the aim is the estimation of injuries occurring in a certain population, where two common problems are present: (a) Small injuries are usually difficult to observe and rarely reported in the official data and (b) people are not always compliant in giving information about some specific …
Use of the scale-up methods in injury prevention research: An empirical assessment to the case of choking in children
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Use of the scale-up methods in injury prevention research: An empirical assessment to the case of choking in children
Question Order and Interviewer Effects in Cati Scale-up Surveys
The scale-up estimator is a network-based estimator for the size of hidden or hard to count subpopulations. Several issues arise in the public health context when the aim is the estimation of injuries occurring in a certain population, where two common problems are present: (a) Small injuries are usually difficult to observe and rarely reported in the official data and (b) people are not always compliant in giving information about some specific …
Adaptive Bayesian Networks for quantitative risk assessment of foreign body injuries in children
Injuries due to foreign body (FB) aspiration/ingestion/insertion represent a common public health issue in paediatric patients, which causes significant morbidity and mortality. The aim of this study is to present a Bayesian Network (BN) model for the identification of risk factors for FB injuries in children and provide their quantitative assessment. Combining a priori knowledge and observed data, a BN learning algorithm was used to generate the…
Scale-Up Approach in Cati Surveys for Estimating the Number of Foreign Body Injuries in the Aero-Digestive Tract in Children
Foreign body injuries are a well-known threat to children due to the high risk of ingestion of small objects and choking. In order to depict the epidemiological framework of such injuries, data are mostly available for hospitalizations and partially for emergency room visits. The hidden part of the phenomenon consisting of minor self-resolved injuries is still unknown. The purpose of this paper is to provide an estimate of the overall burden of s…
Environmental health (4 works) · Medicine (4 works) · Geography (3 works) · Artificial Intelligence (2 works) · Cartography (2 works) · Choking (2 works) · Computer Science (2 works) · Estimator (2 works) · Mathematics (2 works) · Poison control (2 works)