Endemic disease, awareness, and local behavioural response

S Funk; E Gilad; V A A Jansen

doi:10.1016/j.jtbi.2010.02.032

Endemic disease, awareness, and local behavioural response

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	501-9
Number of pages	9
Journal	Journal of Theoretical Biology
Volume	264
Issue number	2
DOIs	https://doi.org/10.1016/j.jtbi.2010.02.032
Publication status	Published - 2010

Keywords

Algorithms
Awareness
Communicable Diseases
Computer Simulation
Endemic Diseases
Health Behavior
Humans
Models, Theoretical

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jtbi.2010.02.032

Amorphous computation, random graphs and complex biological networks
Jansen , V. A. A. (PI)
Eng & Phys Sci Res Council EPSRC
1/01/06 → 31/12/09
Project: Research

Cite this

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title = "Endemic disease, awareness, and local behavioural response",

keywords = "Algorithms, Awareness, Communicable Diseases, Computer Simulation, Endemic Diseases, Health Behavior, Humans, Models, Theoretical",

author = "S Funk and E Gilad and Jansen, \{V A A\}",

year = "2010",

doi = "10.1016/j.jtbi.2010.02.032",

language = "English",

volume = "264",

pages = "501--9",

journal = "Journal of Theoretical Biology",

issn = "1095-8541",

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TY - JOUR

T1 - Endemic disease, awareness, and local behavioural response

AU - Funk, S

AU - Gilad, E

AU - Jansen, V A A

PY - 2010

Y1 - 2010

KW - Algorithms

KW - Awareness

KW - Communicable Diseases

KW - Computer Simulation

KW - Endemic Diseases

KW - Health Behavior

KW - Humans

KW - Models, Theoretical

U2 - 10.1016/j.jtbi.2010.02.032

DO - 10.1016/j.jtbi.2010.02.032

M3 - Article

C2 - 20184901

SN - 1095-8541

VL - 264

SP - 501

EP - 509

JO - Journal of Theoretical Biology

JF - Journal of Theoretical Biology

IS - 2

ER -

Endemic disease, awareness, and local behavioural response

Keywords

UN SDGs

Access to Document

Projects

Amorphous computation, random graphs and complex biological networks

Cite this