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A spatial agent-based model of Anopheles vagus for malaria epidemiology: examining the impact of vector control interventions.

Md Zahangir AlamS M Niaz ArifinHasan Mohammad Al-AminMohammad Shafiul AlamM Sohel Rahman
Published in: Malaria journal (2017)
Output of ABM[Formula: see text] showed high sensitivity to real-life field data of the environmental factors and the landscape of a particular area. Hence, it is recommended to use the model for a given area in connection to its local field data. For applying combined interventions, three interventions altogether are highly recommended whenever possible. It is also suggested that ITNs/LLINs with IRS can be applied when three interventions are not available.
Keyphrases
  • physical activity
  • electronic health record
  • risk factors
  • machine learning
  • zika virus
  • plasmodium falciparum
  • aedes aegypti
  • artificial intelligence