Lorenzo Gianquintieri
Biographic Data
| ID | 6284785 |
|---|---|
| NAME | Lorenzo Gianquintieri |
| GIVEN NAMES | Lorenzo |
| FAMILY NAME | Gianquintieri |
| SIGNATURE | GIANQUINTIERI L |
| AFFILIATIONS | Politecnico di Milano |
| ORCID | 0000-0002-9658-5749 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Impact of Spatial Aggregation Level on Environmental Epidemiology Analyses
Background: Spatial granularity plays a central role in the analysis of environmental hazards, yet its influence on health impact assessment remains overlooked. This study explicitly treats spatial aggregation level as a methodological variable and examines how different spatial aggregation strategies affect the association between high temperature, ozone, and out-of-hospital cardiovascular emergencies recorded by emergency medical services. Meth…
State-of-art in modelling particulate matter (PM) concentration
Air pollution is the one of the most significant environmental risks to health worldwide. An accurate assessment of population exposure would require a continuous distribution of measuring ground-stations, which is not feasible. Therefore, significant efforts are spent in implementing air-quality models. However, a complex scenario emerges, with the spread of many different solutions, and a consequent struggle in comparison, evaluation and replic…
Neighborhood determinants of vulnerability to heat for cardiovascular health
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…
Development of a Novel Framework to Propose New Strategies for Automated External Defibrillators Deployment Targeting Residential Out-Of-Hospital Cardiac Arrests
Public Access Defibrillation (PAD) is the leading strategy in reducing time to first defibrillation in cases of Out-Of-Hospital Cardiac Arrest (OHCA), but PAD programs are underperforming considering their potentiality. Our aim was to develop an analysis and optimization framework, exploiting georeferenced information processed with Geographic Information Systems (GISs), specifically targeting residential OHCAs. The framework, based on an histori…
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…
Development of a Novel Framework to Propose New Strategies for Automated External Defibrillators Deployment Targeting Residential Out-Of-Hospital Cardiac Arrests
Public Access Defibrillation (PAD) is the leading strategy in reducing time to first defibrillation in cases of Out-Of-Hospital Cardiac Arrest (OHCA), but PAD programs are underperforming considering their potentiality. Our aim was to develop an analysis and optimization framework, exploiting georeferenced information processed with Geographic Information Systems (GISs), specifically targeting residential OHCAs. The framework, based on an histori…
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…
State-of-art in modelling particulate matter (PM) concentration
Air pollution is the one of the most significant environmental risks to health worldwide. An accurate assessment of population exposure would require a continuous distribution of measuring ground-stations, which is not feasible. Therefore, significant efforts are spent in implementing air-quality models. However, a complex scenario emerges, with the spread of many different solutions, and a consequent struggle in comparison, evaluation and replic…
Neighborhood determinants of vulnerability to heat for cardiovascular health
Impact of Spatial Aggregation Level on Environmental Epidemiology Analyses
Background: Spatial granularity plays a central role in the analysis of environmental hazards, yet its influence on health impact assessment remains overlooked. This study explicitly treats spatial aggregation level as a methodological variable and examines how different spatial aggregation strategies affect the association between high temperature, ozone, and out-of-hospital cardiovascular emergencies recorded by emergency medical services. Meth…
Geography (5 works) · Medicine (5 works) · Air Quality and Health Impacts (3 works) · Cartography (3 works) · Computer Science (3 works) · COVID-19 epidemiological studies (3 works) · Medical emergency (3 works) · Climate Change and Health Impacts (2 works) · Computer security (2 works) · Coronavirus disease 2019 (COVID-19 (2 works)