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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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Figure

Table 1 Sources of environmental and climatic predictors
Figure 1 The distributions of the species-specific densities and rainfall throughout the study period.
Table 2 Lag times and predictors selected by the variable selection
Table 3 Posterior estimates obtained from thegeostatistical zero-inflated negative binomial (ZINB) models
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