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TableĀ 1 Examples of how spatial overlay of multiple malaria metrics related to different components of malaria risk can inform elimination planning for a given operational unit

From: Mapping multiple components of malaria risk for improved targeting of elimination interventions

Malaria risk component Proxy mappable metric Information for decision-making Example operational implication
Infection incidence Annual parasite incidence How much malaria is observed in the area? Distribution of malaria drug demand; feasibility of implementing case-based surveillance
Local infection incidence Local case incidence Is transmission happening in the region? Need for transmission intensity-reducing measures
Imported infections Importation rate, human movement rate to endemic locations Will new infections appear even if the local reservoir is drained? Sustainability of aggressive reservoir reductions; need for importation-reducing measures
Parasite reservoir Infection prevalence Are infections currently available to be transmitted? Potential for drug-based interventions to reduce transmission intensity by draining the available reservoir
Infection duration Case treatment rate How long will infections be available for mosquitoes to transmit? Need for improved access to case management
Entomological potential Vectorial capacity What is the probability that parasites in the human reservoir will be transmitted? Need for context-appropriate vector control measures
Transmission intensity Entomological inoculation rate, ratio of local to imported cases How much transmission is currently occurring? Impact of currently implemented measures; need to examine specific risk components to identify appropriate additional measures
Transmission potential Reproductive rates Will introduced parasites tend to propagate or die away? Need for reductions in infection duration or entomological potential to create conditions suitable for elimination