Temporal Network Epidemiology

This book covers recent developments in epidemic process models and related data on temporally varying networks. It is widely recognized that contact networks are indispensable for describing, understanding, and intervening to stop the spread of infectious diseases in human and animal populations; “...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Masuda, Naoki (Επιμελητής έκδοσης), Holme, Petter (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
Σειρά:Theoretical Biology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02745nam a22005535i 4500
001 978-981-10-5287-3
003 DE-He213
005 20171004080652.0
007 cr nn 008mamaa
008 171004s2017 si | s |||| 0|eng d
020 |a 9789811052873  |9 978-981-10-5287-3 
024 7 |a 10.1007/978-981-10-5287-3  |2 doi 
040 |d GrThAP 
050 4 |a QH323.5 
050 4 |a QH324.2-324.25 
072 7 |a PDE  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
082 0 4 |a 570.285  |2 23 
245 1 0 |a Temporal Network Epidemiology  |h [electronic resource] /  |c edited by Naoki Masuda, Petter Holme. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2017. 
300 |a VI, 342 p. 121 illus., 83 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Theoretical Biology,  |x 2522-0438 
520 |a This book covers recent developments in epidemic process models and related data on temporally varying networks. It is widely recognized that contact networks are indispensable for describing, understanding, and intervening to stop the spread of infectious diseases in human and animal populations; “network epidemiology” is an umbrella term to describe this research field. More recently, contact networks have been recognized as being highly dynamic. This observation, also supported by an increasing amount of new data, has led to research on temporal networks, a rapidly growing area. Changes in network structure are often informed by epidemic (or other) dynamics, in which case they are referred to as adaptive networks. This volume gathers contributions by prominent authors working in temporal and adaptive network epidemiology, a field essential to understanding infectious diseases in real society. 
650 0 |a Mathematics. 
650 0 |a Medical microbiology. 
650 0 |a Epidemiology. 
650 0 |a Systems biology. 
650 0 |a Bioinformatics. 
650 0 |a Computational biology. 
650 0 |a Biomathematics. 
650 1 4 |a Mathematics. 
650 2 4 |a Mathematical and Computational Biology. 
650 2 4 |a Computer Appl. in Life Sciences. 
650 2 4 |a Epidemiology. 
650 2 4 |a Medical Microbiology. 
650 2 4 |a Systems Biology. 
700 1 |a Masuda, Naoki.  |e editor. 
700 1 |a Holme, Petter.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789811052866 
830 0 |a Theoretical Biology,  |x 2522-0438 
856 4 0 |u http://dx.doi.org/10.1007/978-981-10-5287-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)