Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Enrique Frias-Martinez"'
Autor:
Jiahui Wu, Saad Mohammad Abrar, Naman Awasthi, Enrique Frias-Martinez, Vanessa Frias-Martinez
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-20 (2022)
Abstract Place-based short-term crime prediction models leverage the spatio-temporal patterns of historical crimes to predict aggregate volumes of crime incidents at specific locations over time. Under the umbrella of the crime opportunity theory, th
Externí odkaz:
https://doaj.org/article/3c8eff7b29b7436b8e351bd61cdfc3a5
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-17 (2022)
Abstract Most of the studies related to human mobility are focused on intra-country mobility. However, there are many scenarios (e.g., spreading diseases, migration) in which timely data on international commuters are vital. Mobile phones represent a
Externí odkaz:
https://doaj.org/article/fab5ced3f0a745b492118520bbdb7a19
Autor:
Rachel J. Oidtman, Elisa Omodei, Moritz U. G. Kraemer, Carlos A. Castañeda-Orjuela, Erica Cruz-Rivera, Sandra Misnaza-Castrillón, Myriam Patricia Cifuentes, Luz Emilse Rincon, Viviana Cañon, Pedro de Alarcon, Guido España, John H. Huber, Sarah C. Hill, Christopher M. Barker, Michael A. Johansson, Carrie A. Manore, Robert C. Reiner, Jr., Isabel Rodriguez-Barraquer, Amir S. Siraj, Enrique Frias-Martinez, Manuel García-Herranz, T. Alex Perkins
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Newly emerged pathogens are inherently difficult to forecast, due to many unknowns about their biology early in an epidemic. Here, the authors assess forecasts of a suite of models during the Zika epidemic in Colombia, finding that the models that pe
Externí odkaz:
https://doaj.org/article/c817814baca3456fbcbefb36156a6489
Autor:
Daniela Perrotta, Enrique Frias-Martinez, Ana Pastore Y Piontti, Qian Zhang, Miguel Luengo-Oroz, Daniela Paolotti, Michele Tizzoni, Alessandro Vespignani
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 16, Iss 7, p e0010565 (2022)
Timely, accurate, and comparative data on human mobility is of paramount importance for epidemic preparedness and response, but generally not available or easily accessible. Mobile phone metadata, typically in the form of Call Detail Records (CDRs),
Externí odkaz:
https://doaj.org/article/0d62ee21aa8b433080ff47654f18cdc7
Autor:
Pedro A. de Alarcon, Alejandro Salevsky, Daniel Gheti-Kao, Willian Rosalen, Marby C. Duarte, Carlos Cuervo, Jose J. Muñoz, Juan M. Pascual, Martin Schurig, Thomas Treß, Elena Diaz, Carlos de la Cuesta, Enrique Frias-Martinez
Publikováno v:
Data & Policy, Vol 3 (2021)
The COVID-19 pandemic is a global challenge for humanity, in which a large number of resources are invested to develop effective vaccines and treatments. At the same time, governments try to manage the spread of the disease while alleviating the stro
Externí odkaz:
https://doaj.org/article/2f8c04b16f0341ec8d859630eeb5115e
Publikováno v:
Royal Society Open Science, Vol 6, Iss 11 (2019)
The compact city, as a sustainable concept, is intended to augment the efficiency of urban function. However, previous studies have concentrated more on morphology than on structure. The present study focuses on urban structural elements, i.e. urban
Externí odkaz:
https://doaj.org/article/0d1d8b4b946a43a88d9ca69de1a1312f
Publikováno v:
Environment and Planning B: Urban Analytics and City Science. 48:2623-2639
Urban hotspots can be used to model the structure of urban environments and to study or predict various aspects of urban life. An increasing interest in the analysis of urban hotspots has been triggered by the emergence of pervasive technologies that
Autor:
Miguel Luengo-Oroz, Qian Zhang, Daniela Paolotti, Daniela Perrotta, Ana Pastore y Piontti, Enrique Frias-Martinez, Michele Tizzoni, Alessandro Vespignani
Publikováno v:
PLOS Neglected Tropical Diseases. 16:e0010565
Timely, accurate, and comparative data on human mobility is of paramount importance for epidemic preparedness and response, but generally not available or easily accessible. Mobile phone metadata, typically in the form of Call Detail Records (CDRs),
Autor:
Amir S. Siraj, Sarah C. Hill, Sandra Misnaza-Castrillón, Erica Cruz-Rivera, John H. Huber, Manuel García-Herranz, Carrie A. Manore, Guido España, Carlos A. Castañeda-Orjuela, Viviana Cañon, Luz Emilse Rincon, Moritz U. G. Kraemer, T. Alex Perkins, Enrique Frias-Martinez, Isabel Rodriguez-Barraquer, Pedro de Alarcon, Michael A. Johansson, Myriam Patricia Cifuentes, Rachel J. Oidtman, Robert Reiner, Elisa Omodei, Christopher M. Barker
Publikováno v:
Nature Communications
Nature communications, vol 12, iss 1
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Nature communications, vol 12, iss 1
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
When new pathogens emerge, numerous questions arise about their future spread, some of which can be addressed with probabilistic forecasts. The many uncertainties about the epidemiology of emerging pathogens can make it difficult to choose among mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::666a9ef6318fceaf4d5ff90c5c59f9d1
https://doi.org/10.1101/2021.02.25.21252363
https://doi.org/10.1101/2021.02.25.21252363
Autor:
Juan Carlos García-Palomares, Marcin Stępniak, Borja Moya-Gómez, Enrique Frias-Martinez, Javier Gutiérrez
Publikováno v:
E-Prints Complutense. Archivo Institucional de la UCM
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Social segregation research has a long tradition in urban studies. Usually, these studies focus on the residential dimension, using official registries (e.g., census data), which show population distribution at night. Nevertheless, these studies disr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27f9c1593821727d55f0e9c60c78c5a2
https://eprints.ucm.es/id/eprint/69468/1/1-s2.0-S019897152100082X-main.pdf
https://eprints.ucm.es/id/eprint/69468/1/1-s2.0-S019897152100082X-main.pdf