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Challenges of DHS and MIS to capture the entire pattern of malaria parasite risk and intervention effects in countries with different ecological zones: the case of Cameroon.

Salomon G Massoda TonyeCelestin KouambengRomain WounangPenelope Vounatsou
Published in: Malaria journal (2018)
Timing of the malaria survey influences estimates of the geographical distribution of disease risk, especially in settings with seasonal transmission. In countries with different ecological zones and thus different seasonal patterns, a single survey may not be able to identify all high risk areas. A continuous MIS or a combination of MIS, health information system data and data from sentinel sites may be able to capture the disease risk distribution in space across different seasons.
Keyphrases
  • health information
  • plasmodium falciparum
  • randomized controlled trial
  • electronic health record
  • cross sectional
  • climate change
  • social media
  • healthcare
  • big data
  • artificial intelligence