Italian Migrants and Photo Sharing in the UK

Author(s):  
Elisa Serafinelli
Keyword(s):  
2015 ◽  
Vol 2 (8) ◽  
pp. 150046 ◽  
Author(s):  
Daniele Barchiesi ◽  
Tobias Preis ◽  
Steven Bishop ◽  
Helen Susannah Moat

Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to the Flickr photo-sharing website. Inspired by the theory of Lévy flights, which has previously been used to describe the statistical properties of human mobility, we design a machine learning algorithm to infer the probability of finding people in geographical locations and the probability of movement between pairs of locations. Our findings are in general agreement with official figures in the UK and on travel flows between pairs of major cities, suggesting that online data sources may be used to quantify and model large-scale human mobility patterns.


2000 ◽  
Vol 111 (1) ◽  
pp. 78-90 ◽  
Author(s):  
C. R. M. Hay ◽  
T. P. Baglin ◽  
P. W. Collins ◽  
F. G. H. Hill ◽  
D. M. Keeling

2006 ◽  
Vol 175 (4S) ◽  
pp. 476-477
Author(s):  
Freddie C. Hamdy ◽  
Joanne Howson ◽  
Athene Lane ◽  
Jenny L. Donovan ◽  
David E. Neal

2006 ◽  
Vol 175 (4S) ◽  
pp. 210-210
Author(s):  
◽  
Freddie C. Hamdy ◽  
Athene Lane ◽  
David E. Neal ◽  
Malcolm Mason ◽  
...  
Keyword(s):  

2003 ◽  
Vol 2 (1) ◽  
pp. 131
Author(s):  
A ZAPHIRIOU ◽  
S ROBB ◽  
G MENDEZ ◽  
T MURRAYTHOMAS ◽  
S HARDMAN ◽  
...  

Crisis ◽  
2014 ◽  
Vol 35 (4) ◽  
pp. 268-272
Author(s):  
Sean Cross ◽  
Dinesh Bhugra ◽  
Paul I. Dargan ◽  
David M. Wood ◽  
Shaun L. Greene ◽  
...  

Background: Self-poisoning (overdose) is the commonest form of self-harm cases presenting to acute secondary care services in the UK, where there has been limited investigation of self-harm in black and minority ethnic communities. London has the UK’s most ethnically diverse areas but presents challenges in resident-based data collection due to the large number of hospitals. Aims: To investigate the rates and characteristics of self-poisoning presentations in two central London boroughs. Method: All incident cases of self-poisoning presentations of residents of Lambeth and Southwark were identified over a 12-month period through comprehensive acute and mental health trust data collection systems at multiple hospitals. Analysis was done using STATA 12.1. Results: A rate of 121.4/100,000 was recorded across a population of more than half a million residents. Women exceeded men in all measured ethnic groups. Black women presented 1.5 times more than white women. Gender ratios within ethnicities were marked. Among those aged younger than 24 years, black women were almost 7 times more likely to present than black men were. Conclusion: Self-poisoning is the commonest form of self-harm presentation to UK hospitals but population-based rates are rare. These results have implications for formulating and managing risk in clinical services for both minority ethnic women and men.


2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.


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