Geographical patterns and predictors of malaria risk in Zambia: Bayesian geostatistical modelling of the 2006 Zambia national malaria indicator survey (ZMIS)

@article{Riedel2009GeographicalPA,
  title={Geographical patterns and predictors of malaria risk in Zambia: Bayesian geostatistical modelling of the 2006 Zambia national malaria indicator survey (ZMIS)},
  author={Nadine Riedel and P. Vounatsou and J. Miller and L. Gosoniu and E. Chizema-Kawesha and V. Mukonka and R. Steketee},
  journal={Malaria Journal},
  year={2009},
  volume={9},
  pages={37 - 37}
}
  • Nadine Riedel, P. Vounatsou, +4 authors R. Steketee
  • Published 2009
  • Medicine, Biology
  • Malaria Journal
  • BackgroundThe Zambia Malaria Indicator Survey (ZMIS) of 2006 was the first nation-wide malaria survey, which combined parasitological data with other malaria indicators such as net use, indoor residual spraying and household related aspects. The survey was carried out by the Zambian Ministry of Health and partners with the objective of estimating the coverage of interventions and malaria related burden in children less than five years. In this study, the ZMIS data were analysed in order (i) to… CONTINUE READING

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