Strategies for Controlling Non-Transmissible Infection Outbreaks Using a Large Human Movement Data Set

PLoS Computational Biology

Volumn 10, Issue 9, 2014, Pages

  Hancock, Penelope A ^a,b   Rehman, Yasmin ^c   Hall, Ian M ^c   Edeghere, Obaghe ^c   Danon, Leon ^b,d   House, Thomas A ^b   Keeling, Matthew J ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF WARWICK   (United Kingdom)

^c PUBLIC HEALTH ENGLAND   (United Kingdom)

^d QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; FORECASTING;

DATA SET; GREAT BRITAIN; HUMAN MOVEMENT BEHAVIORS; HUMAN MOVEMENTS; HUMAN POPULATION; INFECTIOUS DISEASE; LOCALISED; MOVEMENT DATUM; MOVEMENT PATTERN; PREDICTION AND CONTROL;

DISEASE CONTROL;

ACCURACY; ADULT; ARTICLE; DATA BASE; DISEASE CLASSIFICATION; DISEASE PREDISPOSITION; DYNAMICS; EPIDEMIC; HIGH RISK PATIENT; HUMAN; INFECTION CONTROL; INFECTION RISK; LEGIONELLA PNEUMOPHILA; LEGIONNAIRE DISEASE; MATHEMATICAL MODEL; NONHUMAN; POPULATION MOVEMENT PATTERN; PRACTICE GUIDELINE; PREDICTION; PROBABILITY; PUBLIC HEALTH; SIMULATION; UNITED KINGDOM; BIOLOGY; FACTUAL DATABASE; FEMALE; HEALTH SURVEY; LEGIONNAIRES' DISEASE; MALE; PROCEDURES; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL;

COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DISEASE OUTBREAKS; FEMALE; GREAT BRITAIN; HUMANS; LEGIONNAIRES' DISEASE; MALE; MODELS, THEORETICAL; POPULATION SURVEILLANCE;

EID: 84907584430     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003809     Document Type: Article

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