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Mapping Spatiotemporal Diffusion of COVID-19 in Lombardy (Italy) on the Base of Emergency Medical Services Activities

https://doi.org/10.3390/ijgi9110639
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/jmv.25794openalex-snapshot
Genomic characterization and phylogenetic analysis of SARS‐COV‐2 in Italy
inferredcites →https://doi.org/10.1007/s10654-020-00631-6openalex-snapshot
Covid-19 epidemic in Italy: evolution, projections and impact of government measures
inferredcites →https://doi.org/10.1007/s12195-020-00629-wopenalex-snapshot
Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19
inferredcites →https://doi.org/10.1016/j.geosus.2020.03.005openalex-snapshot
COVID-19: Challenges to GIS with Big Data
inferredcites →https://doi.org/10.1016/j.jiph.2020.07.019openalex-snapshot
Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.138474openalex-snapshot
Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.138835openalex-snapshot
Correlation between climate indicators and COVID-19 pandemic in New York, USA
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.138884openalex-snapshot
GIS-based spatial modeling of COVID-19 incidence rate in the continental United States
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.139652openalex-snapshot
First detection of SARS-CoV-2 in untreated wastewaters in Italy
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.140033openalex-snapshot
Spatial analysis and GIS in the study of COVID-19. A review
inferredcites →https://doi.org/10.1016/s1473-3099(20)30120-1openalex-snapshot
An interactive web-based dashboard to track COVID-19 in real time
inferredcites →https://doi.org/10.1016/s2589-7500(20)30026-1openalex-snapshot
Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study
inferredcites →https://doi.org/10.1017/s0950268820001314openalex-snapshot
The COVID-19 pandemic: a new challenge for syndromic surveillance
inferredcites →https://doi.org/10.1038/d41586-020-01003-6openalex-snapshot
Special report: The simulations driving the world’s response to COVID-19
inferredcites →https://doi.org/10.1038/d41586-020-01738-2openalex-snapshot
How deadly is the coronavirus? Scientists are close to an answer
inferredcites →https://doi.org/10.1038/s41591-020-0824-5openalex-snapshot
Digital technology and COVID-19
inferredcites →https://doi.org/10.1038/s41591-020-0883-7openalex-snapshot
Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy
inferredcites →https://doi.org/10.1073/pnas.2004978117openalex-snapshot
Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures
inferredcites →https://doi.org/10.1097/cm9.0000000000000782openalex-snapshot
Distribution of the COVID-19 epidemic and correlation with population emigration from Wuhan, China
inferredcites →https://doi.org/10.1111/jrh.12436openalex-snapshot
Introducing the Percent, Number, Availability, and Capacity [PNAC] Spatial Approach to Identify Priority Rural Areas Requiring Targeted Health Support in Light of COVID‐19: A Commentary and Application
inferredcites →https://doi.org/10.1136/jech-2020-214209openalex-snapshot
A first estimation of the impact of public health actions against COVID-19 in Veneto (Italy)
inferredcites →https://doi.org/10.1145/3404820.3404824openalex-snapshot
Mapping county-level mobility pattern changes in the United States in response to COVID-19
inferredcites →https://doi.org/10.1152/physiolgenomics.00029.2020openalex-snapshot
Artificial intelligence and machine learning to fight COVID-19
inferredcites →https://doi.org/10.1159/000507587openalex-snapshot
Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment
inferredcites →https://doi.org/10.1186/1475-925x-10-77openalex-snapshot
New approach for T-wave end detection on electrocardiogram: Performance in noisy conditions
inferredcites →https://doi.org/10.18502/ijph.v49is1.3679openalex-snapshot
Application of Geographic Information System in Monitoring and Detecting the COVID-19 Outbreak
inferredcites →https://doi.org/10.2106/jbjs.20.00577openalex-snapshot
Geospatial Mapping of Orthopaedic Surgeons Age 60 and Over and Confirmed Cases of COVID-19
inferredcites →https://doi.org/10.2139/ssrn.3550308openalex-snapshot
Temperature, Humidity and Latitude Analysis to Predict Potential Spread and Seasonality for COVID-19
inferredcites →https://doi.org/10.2139/ssrn.3559569openalex-snapshot
Modelling and Predicting the Spatio-Temporal Spread of Coronavirus Disease 2019 (COVID-19) in Italy
inferredcites →https://doi.org/10.2139/ssrn.3566190openalex-snapshot
Countries with High Registered Nurse (RN) Concentrations Observe Reduced Mortality Rates of Coronavirus Disease 2019 (COVID-19)
inferredcites →https://doi.org/10.2196/18980openalex-snapshot
Global Preparedness Against COVID-19: We Must Leverage the Power of Digital Health
inferredcites →https://doi.org/10.2196/19104openalex-snapshot
Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review
inferredcites →https://doi.org/10.2807/1560-7917.es.2020.25.12.2000293openalex-snapshot
Potential short-term outcome of an uncontrolled COVID-19 epidemic in Lombardy, Italy, February to March 2020
inferredcites →https://doi.org/10.3201/eid2313.170803openalex-snapshot
Frontline Field Epidemiology Training Programs as a Strategy to Improve Disease Surveillance and Response
inferredcites →https://doi.org/10.3390/ijerph17093176openalex-snapshot
How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic
inferredcites →https://doi.org/10.3390/ijerph17103437openalex-snapshot
Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve
inferredcites →https://doi.org/10.3390/ijerph17113903openalex-snapshot
Spatial Statistics and Influencing Factors of the COVID-19 Epidemic at Both Prefecture and County Levels in Hubei Province, China
inferredcites →https://doi.org/10.48550/arxiv.2003.09861openalex-snapshot
A SIDARTHE Model of COVID-19 Epidemic in Italy
inferredcites →https://doi.org/10.5858/arpa.2020-0172-raopenalex-snapshot
Geospatial Hotspots Need Point-of-Care Strategies to Stop Highly Infectious Outbreaks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3944584openalex-extracted
Disease Diffusion Modelling to Understand the Sources and Transmission Dynamics of COVID-19 in Toronto and Classification of the Risk Areas for Prioritization
inferred← citeshttps://doi.org/10.2139/ssrn.4088750openalex-extracted
Identification of Suspected Patients with COVID-19 by the Regional Emergency Medical Service in Lombardy Through an Operator-Based Interview and a Machine Learning-Based Model: A Large-Scale Retrospective Study
inferred← citeshttps://doi.org/10.1002/gch2.202500241openalex-snapshot
Short‐Term Effect of Air Pollution on Out of Hospital Cardiac Arrest (OHCA) in Lombardy—A Case‐Crossover Spatiotemporal Study
inferred← citeshttps://doi.org/10.1007/s12518-022-00424-4openalex-snapshot
A novel architecture of Web-GIS for mapping and analysis of echinococcosis in Poland
inferred← citeshttps://doi.org/10.1016/j.healthplace.2023.102988openalex-snapshot
Modelling the spatiotemporal spread of COVID-19 outbreaks and prioritization of the risk areas in Toronto, Canada
inferred← citeshttps://doi.org/10.1016/j.trip.2022.100646openalex-snapshot
Spatio-temporal distribution pattern of COVID-19 in the Northern Italy during the first-wave scenario: The role of the highway network
inferred← citeshttps://doi.org/10.1109/embc58623.2025.11254676openalex-snapshot
A New Geospatial Index for Territorial Risk Stratification of Out-of-Hospital Cardiac Arrest During Heat Days
inferred← citeshttps://doi.org/10.1109/ictc55196.2022.9952506openalex-snapshot
The transformation from Pandemic to Endemic of Covid-19: Spatio-temporal Analysis of Citizen Mobility in Asia Countries
inferred← citeshttps://doi.org/10.1111/tgis.12792openalex-snapshot
A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020
inferred← citeshttps://doi.org/10.1136/emermed-2022-212853openalex-snapshot
Detection of patients with COVID-19 by the emergency medical services in Lombardy through an operator-based interview and machine learning models
inferred← citeshttps://doi.org/10.2196/43836openalex-snapshot
COVID-19 Contact Tracing as an Indicator for Evaluating a Pandemic Situation: Simulation Study
inferred← citeshttps://doi.org/10.3390/app15158729openalex-snapshot
A High-Granularity, Machine Learning Informed Spatial Predictive Model for Epidemic Monitoring: The Case of COVID-19 in Lombardy Region, Italy
inferred← citeshttps://doi.org/10.3390/electronics10141626openalex-snapshot
Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data
inferred← citeshttps://doi.org/10.3390/ijerph182212154openalex-snapshot
Geospatial Correlation Analysis between Air Pollution Indicators and Estimated Speed of COVID-19 Diffusion in the Lombardy Region (Italy)
inferred← citeshttps://doi.org/10.3390/ijerph19159012openalex-snapshot
Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning
inferred← citeshttps://doi.org/10.3390/ijgi10050283openalex-snapshot
Could Historical Mortality Data Predict Mortality Due to Unexpected Events?
inferred← citeshttps://doi.org/10.3390/ijgi10090627openalex-snapshot
Spatiotemporal Characteristics and Risk Factors of the COVID-19 Pandemic in New York State: Implication of Future Policies
inferred← citeshttps://doi.org/10.3390/ijgi15030133openalex-snapshot
Impact of Spatial Aggregation Level on Environmental Epidemiology Analyses: A Case Study of Combined Heat and Ozone Effects on Cardiovascular Emergencies
inferred← citeshttps://doi.org/10.5752/p.2318-2962.2022v32n70p1031openalex-snapshot
ESPAÇO E COVID-19:
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