Emma Montella
Biographic Data
| ID | 7906478 |
|---|---|
| NAME | Emma Montella |
| GIVEN NAMES | Emma |
| FAMILY NAME | Montella |
| SIGNATURE | MONTELLA E |
| AFFILIATIONS | Department of Public Health, University of Naples “Federico”, 80125 Naples, Italy |
| ORCID | 0000-0001-5156-1666 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating Digital Health into School Nursing for Food Allergy Management
Background: Food allergy [FA] is a growing public health concern among school-age children, with schools and childcare/daycare settings representing high-risk environments for accidental exposure and anaphylaxis. Objective: To systematically review evidence on digital health interventions supporting FA education, prevention, and management in school settings. Methods: A systematic search of PubMed, Scopus, Web of Science, and CINAHL was conducted…
Association between Covid-19 and Sick Leave for Healthcare Workers in a Large Academic Hospital in Southern Italy
Studies have shown that the pandemic has led to an increase in sick leave periods among healthcare workers (HCWs); however, this might have changed over time considering increase in vaccination coverage and change in COVID-19 variant predominance. Therefore, we conducted an observational study to evaluate whether the type of symptoms and the duration of sick leave period for healthcare workers working in a large university hospital in the South o…
Predictive Analysis of Healthcare-Associated Blood Stream Infections in the Neonatal Intensive Care Unit Using Artificial Intelligence
Our statistical analyses showed that birthweight and central line catheterization days were significant predictors of suffering from HABSI. Patients suffering from HABSI had lower gestational age and birthweight, which led to longer hospitalization and umbilical and central line catheterization days than non-HABSI neonates. The predictive analysis achieved the highest Area Under Curve (AUC), accuracy and F1-macro score in the prediction of HABSIs…
No prominent works on this page.
Association between Covid-19 and Sick Leave for Healthcare Workers in a Large Academic Hospital in Southern Italy
Studies have shown that the pandemic has led to an increase in sick leave periods among healthcare workers (HCWs); however, this might have changed over time considering increase in vaccination coverage and change in COVID-19 variant predominance. Therefore, we conducted an observational study to evaluate whether the type of symptoms and the duration of sick leave period for healthcare workers working in a large university hospital in the South o…
Predictive Analysis of Healthcare-Associated Blood Stream Infections in the Neonatal Intensive Care Unit Using Artificial Intelligence
Our statistical analyses showed that birthweight and central line catheterization days were significant predictors of suffering from HABSI. Patients suffering from HABSI had lower gestational age and birthweight, which led to longer hospitalization and umbilical and central line catheterization days than non-HABSI neonates. The predictive analysis achieved the highest Area Under Curve (AUC), accuracy and F1-macro score in the prediction of HABSIs…
Integrating Digital Health into School Nursing for Food Allergy Management
Background: Food allergy [FA] is a growing public health concern among school-age children, with schools and childcare/daycare settings representing high-risk environments for accidental exposure and anaphylaxis. Objective: To systematically review evidence on digital health interventions supporting FA education, prevention, and management in school settings. Methods: A systematic search of PubMed, Scopus, Web of Science, and CINAHL was conducted…
Health care (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Blood stream (1 work) · Center (category theory (1 work) · CINAHL (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 and Mental Health (1 work) · Demography (1 work) · Demography (1 work)