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GIS technology helps map out how America's mafia networks were 'connected'


GIS technology helps map out how America s mafia networks were connected
Organized crime networks or mafia stretched across the U.S. in the 1960s. Researchers used geographic information systems to investigate how these networks were shaped and how they shaped organized crime during the mafia s organizational height.
Image: Penn State
GIS technology helps map out how America s mafia networks were connected
Matt Swayne
April 12, 2021
UNIVERSITY PARK, Pa. At its height in the mid-20th century, American organized crime groups, often called the mafia, grossed approximately $40 billion each year, typically raising that money through illegal or untaxed activities, such as extortion and gambling. ....

United States , New York , Bradley Hinger , Daniel Dellaposta , Brittany Freelin , Hanzhou Chen , International Journal Of Geographical Information Science , Institute For Computational , Geovista Center , Mafia Networks , Data Sciences , Us Federal Bureau Of Narcotics , Clio Andris , Penn State , New York City , International Journal , Geographical Information Science , ஒன்றுபட்டது மாநிலங்களில் , புதியது யார்க் , டேனியல் டெல்லபோஸ்டா , சர்வதேச இதழ் ஆஃப் புவியியல் தகவல் அறிவியல் , நிறுவனம் க்கு கணக்கீட்டு , தகவல்கள் அறிவியல் , எங்களுக்கு கூட்டாட்சியின் பணியகம் ஆஃப் போதைப்பொருள் , கிளியோ ஆண்ட்ரிஸ் , பென் நிலை ,

UConn Researcher Develops Town-Level Model for COVID-19 in Connecticut


UConn Researcher Develops Town-Level Model for COVID-19 in Connecticut
UConn researchers have created the first COVID-19 model to focus on the town, rather than the state or national level.
Simulated cases by end of 2020. (Contributed by Peter Chen)
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UConn professor of geography Peter Chen has published a study in the January 2021 issue of the International Journal of Geographical Information Science outlining a comprehensive predictive model for COVID-19 in every Connecticut town based on travel behaviors.
This model, named the MSEIR model, is a major contribution to the field, as it is the first COVID-19 model to focus on the town, rather than the state or national level. ....

Hong Kong , United States , Shui Wang , Saiyin Zhang , Xiaolin Zhu , Adam Gallaher , Peter Chen , Connecticut Department Of Public Health , Hong Kong Polytechnic University , National Science Foundation , Uconn Institute For Collaboration On Health , Clark University , University Of Idaho , International Journal Of Geographical Information Science , Connecticut Department Of Health , International Journal , Geographical Information Science , Hong Kong Polytechnic , Connecticut Department , Public Health , National Science , ஹாங் காங் , ஒன்றுபட்டது மாநிலங்களில் , ஹுய் வாங் , ஆடம் கல்லஹர் , பீட்டர் சென் ,