Bayesian variable selection in modelling geographical heterogeneity in malaria transmission from sparse data: an application to Nouna Health and Demographic Surveillance System (HDSS) data, Burkina Faso.
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Using remote sensing environmental data to forecast malaria incidence at a rural district hospital in Western KenyaMalaria risk in Nigeria: Bayesian geostatistical modelling of 2010 malaria indicator survey data.An epidemiological study to assess Plasmodium falciparum parasite prevalence and malaria control measures in Burkina Faso and Senegal.Spatiotemporal Analysis of the Malaria Epidemic in Mainland China, 2004-2014.The associations between malaria, interventions, and the environment: a systematic review and meta-analysis.Nightly Biting Cycles of Anopheles Species in Rural Northwestern Burkina Faso.
P2860
Bayesian variable selection in modelling geographical heterogeneity in malaria transmission from sparse data: an application to Nouna Health and Demographic Surveillance System (HDSS) data, Burkina Faso.
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2015 nî lūn-bûn
@nan
2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Bayesian variable selection in ...... tem (HDSS) data, Burkina Faso.
@ast
Bayesian variable selection in ...... tem (HDSS) data, Burkina Faso.
@en
type
label
Bayesian variable selection in ...... tem (HDSS) data, Burkina Faso.
@ast
Bayesian variable selection in ...... tem (HDSS) data, Burkina Faso.
@en
prefLabel
Bayesian variable selection in ...... tem (HDSS) data, Burkina Faso.
@ast
Bayesian variable selection in ...... tem (HDSS) data, Burkina Faso.
@en
P2093
P2860
P921
P1433
P1476
Bayesian variable selection in ...... tem (HDSS) data, Burkina Faso.
@en
P2093
Diallo A Diadier
Dimitrios A Karagiannis Voules
Eric Diboulo
Yazoume Yé
P2860
P2888
P356
10.1186/S13071-015-0679-7
P577
2015-02-22T00:00:00Z
P5875
P6179
1021516174