The Portal brings together a broad selection of resources from all six of the National Collaborating Centres (NCCs). Search for resources by clicking on NCC, Type, Topic and Core Competency.
Please note: the Portal is not exhaustive and not all resources are indexed by PHAC Core Competency.
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.
The aim of this briefing note is to identify basic organizational conditions necessary for incorporating HIAs into routine practice and to provide some answers to these questions. It is intended for local and regional public health authorities that would like to explore the possibility of carrying out HIAs on municipal policies.Read More
This presentation purpose is to describe the steps involved in evidence-informed public health, and apply this process to environmental health.Read More