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Spatial and spatio-temporal methods for mapping malaria risk: a systematic review.

Julius Nyerere OdhiamboChester KalindaPeter M MachariaRobert W SnowBenn Sartorius
Published in: BMJ global health (2021)
Our review highlights the methodological diversity prominent in malaria risk mapping across SSA. To ensure reproducibility and quality science, best practices and transparent approaches should be adopted when selecting the statistical framework and covariates for malaria risk mapping. Findings underscore the need to periodically assess methods and covariates used in malaria risk mapping; to accommodate changes in data availability, data quality and innovation in statistical methodology.
Keyphrases
  • high resolution
  • plasmodium falciparum
  • electronic health record
  • high density
  • big data
  • machine learning
  • quality improvement
  • artificial intelligence