- Abstract:
-
As malaria transmission declines, it becomes increasingly important to monitor changes in malaria incidence rather than prevalence. Here, a spatio-temporal model was used to identify constituencies with high malaria incidence to guide malaria control. Malaria cases were assembled across all age groups along with several environmental covariates. A Bayesian conditional-autoregressive model was used to model the spatial and temporal variation of incidence after adjusting for test positivity rat...
Expand abstract - Publisher copy:
- 10.1016/j.sste.2013.09.001
-
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- Journal:
- Spatial and spatio-temporal epidemiology
- Volume:
- 7
- Pages:
- 25-36
- Publication date:
- 2013-12-05
- DOI:
- EISSN:
-
1877-5853
- ISSN:
-
1877-5845
- URN:
-
uuid:1f636bbe-d238-4e47-84ce-9c0c92122c02
- Source identifiers:
-
432594
- Local pid:
- pubs:432594
- Language:
- English
- Keywords:
- Copyright date:
- 2013
Journal article
Estimation of malaria incidence in northern Namibia in 2009 using Bayesian conditional-autoregressive spatial-temporal models.
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