Rodolfo Bonora
Biographic Data
| ID | 7865695 |
|---|---|
| NAME | Rodolfo Bonora |
| GIVEN NAMES | Rodolfo |
| FAMILY NAME | Bonora |
| SIGNATURE | BONORA R |
| AFFILIATIONS | Agenzia Regionale Emergenza Urgenza |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
From heatwaves to ‘healthwaves’
Heatwaves in Milan are related with an increase in respiratory and CVD emergencies. • UTCI and emergency calls are used to identify vulnerable areas. • Rates of health emergencies are positively correlated with high UTCI. • Elderly and low-income communities face higher heat-related health risks. • Findings offer insights for climate-proof urban planning and public health domain. In recent decades, the increasing frequency, intensity, and duratio…
Generating High-Granularity Covid-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning
The pandemic of COVID-19 has posed unprecedented threats to healthcare systems worldwide. Great efforts were spent to fight the emergency, with the widespread use of cutting-edge technologies, especially big data analytics and AI. In this context, the present study proposes a novel combination of geographical filtering and machine learning (ML) for the development and optimization of a COVID-19 early alert system based on Emergency Medical Servic…
Geospatial Correlation Analysis between Air Pollution Indicators and Estimated Speed of Covid-19 Diffusion in the Lombardy Region (Italy)
this is the first study relating COVID-19 estimated speed of diffusion with indicators of exposure to NH 3 . As NH 3 could induce oxidative stress, its role in creating a pre-existing fragility that could have facilitated SARS-CoV-2 replication and worsening of patient conditions could be speculated
Mapping Spatiotemporal Diffusion of Covid-19 in Lombardy (Italy) on the Base of Emergency Medical Services Activities
The epidemic of coronavirus-disease-2019 (COVID-19) started in Italy with the first official diagnosis on 21 February 2020; However, it is not known how many cases were already present in earlier days and weeks, thus limiting the possibilities of conducting any retrospective analysis. We hypothesized that an unbiased representation of COVID-19 diffusion in these early phases could be inferred by the georeferenced calls to the emergency number rel…
No prominent works on this page.
Mapping Spatiotemporal Diffusion of Covid-19 in Lombardy (Italy) on the Base of Emergency Medical Services Activities
The epidemic of coronavirus-disease-2019 (COVID-19) started in Italy with the first official diagnosis on 21 February 2020; However, it is not known how many cases were already present in earlier days and weeks, thus limiting the possibilities of conducting any retrospective analysis. We hypothesized that an unbiased representation of COVID-19 diffusion in these early phases could be inferred by the georeferenced calls to the emergency number rel…
Geospatial Correlation Analysis between Air Pollution Indicators and Estimated Speed of Covid-19 Diffusion in the Lombardy Region (Italy)
this is the first study relating COVID-19 estimated speed of diffusion with indicators of exposure to NH 3 . As NH 3 could induce oxidative stress, its role in creating a pre-existing fragility that could have facilitated SARS-CoV-2 replication and worsening of patient conditions could be speculated
Generating High-Granularity Covid-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning
The pandemic of COVID-19 has posed unprecedented threats to healthcare systems worldwide. Great efforts were spent to fight the emergency, with the widespread use of cutting-edge technologies, especially big data analytics and AI. In this context, the present study proposes a novel combination of geographical filtering and machine learning (ML) for the development and optimization of a COVID-19 early alert system based on Emergency Medical Servic…
From heatwaves to ‘healthwaves’
Heatwaves in Milan are related with an increase in respiratory and CVD emergencies. • UTCI and emergency calls are used to identify vulnerable areas. • Rates of health emergencies are positively correlated with high UTCI. • Elderly and low-income communities face higher heat-related health risks. • Findings offer insights for climate-proof urban planning and public health domain. In recent decades, the increasing frequency, intensity, and duratio…
Geography (4 works) · Medicine (4 works) · COVID-19 epidemiological studies (3 works) · Air Quality and Health Impacts (2 works) · Cartography (2 works) · Coronavirus disease 2019 (COVID-19 (2 works) · Data-Driven Disease Surveillance (2 works) · Disease (2 works) · Medical emergency (2 works) · Outbreak (2 works)