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Mathematical modelling is a method of research that allows for simulations of the real world in a virtual space. For Public Health, the results of modelling can be used to determine possible interventions and optimize desired outcomes for populations.
At the 2016 5th biennial workshop of the Pan-InfORM research group, public health practitioners and analysts and mathematical modelling researchers were brought together to learn from each other how the two disciplines – modelling and public health – can collaborate to improve disease prevention and control. In the course of discussions about new frontiers for modelling and infectious diseases public health, modelers and epidemiologists expressed interest in knowing where to find data on vectors (e.g., mosquitos and ticks) that can be used to predict emerging diseases.
To address this gap, NCCID and NCCEH have compiled a list of provincial entomology datasets on vectors, including what information the databases contain and who to contact to access the data.