Spatial, seasonal and climatic predictive models of rift valley fever disease across Africa

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 372, Issue 1725, 2017, Pages

  Redding, David W ^a   Tiedt, Sonia ^a   Lo Iacono, Gianni ^b,c   Bett, Bernard ^d   Jones, Kate E ^a,e  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c PUBLIC HEALTH ENGLAND   (United Kingdom)

^d INTERNATIONAL LIVESTOCK RESEARCH INSTITUTE   (Kenya)

^e INSTITUTE OF ZOOLOGY   (United Kingdom)

Author keywords

Africa; Bayesian spatial model; Climatic oscillations; Integrated Laplace Approximations; Rift valley fever; Risk map

Indexed keywords

CLIMATE CHANGE; CLIMATE OSCILLATION; DISEASE INCIDENCE; DISEASE VECTOR; ENVIRONMENTAL FACTOR; GLOBAL CLIMATE; HEALTH RISK; INFECTIOUS DISEASE; INTEGRATED APPROACH; LAND USE CHANGE; LIVESTOCK; NUMERICAL MODEL; POPULATION DENSITY; RESOURCE USE; SEASONAL VARIATION; SPATIAL VARIATION; VIRAL DISEASE;

AFRICA; KENYA;

AFRICA; ANIMAL; BAYES THEOREM; EPIDEMIC; KENYA; LIVESTOCK; RIFT VALLEY FEVER; RISK; SEASON; SOUTH AFRICA; TRANSMISSION; VIROLOGY; ZOONOSIS;

AFRICA; ANIMALS; BAYES THEOREM; DISEASE OUTBREAKS; KENYA; LIVESTOCK; RIFT VALLEY FEVER; RISK; SEASONS; SOUTH AFRICA; ZOONOSES;

EID: 85020437313     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2016.0165     Document Type: Article

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