Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data
Abstract Background In many areas of the Greater Mekong Subregion (GMS), malaria endemic regions have shrunk to patches of predominantly low-transmission. With a regional goal of elimination by 2030, it is important to use appropriate methods to analyze and predict trends in incidence in these remai...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-12-01
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| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-021-01480-x |