This case study highlights one team’s experience of using mobile device data to help inform a public health response. Their story provides public health decision-makers, managers, epidemiologists, policy analysts and others with insights and lessons that can help prepare them for working with big data.
This study sought to explore how different epidemic conditions could affect optimal allocation of a limited supply of mpox vaccines across 2 partially connected GBMSM networks.
This fact sheet summarizes some key opportunities and challenges of using disaggregated data to model infectious disease with an equity lens.
This fact sheet describes infectious disease modelling with an equity lens. It provides a definition, offers examples of disaggregation, and highlights the characteristics of infectious diseases transmission that can be influenced by population dynamics.
This infographic overviews big data in Public health. It explains basic big data concepts, types of datasets and how public health uses this technology.
In public health, mathematical modelling helps us answer difficult, real-world questions and understand complex relationships between biological, demographic, and environmental factors. Modelling helps answer infectious disease-related questions like “What is the best vaccine to protect an elderly population at increased risk of infection from seasonal influenza?” Modellers interpret the model outcomes and draw conclusions to…
In public health, mathematical modelling helps us answer difficult, real-world questions and understand complex relationships between biological, demographic, and environmental factors. Modelling helps answer infectious disease-related questions like “What are the potential effects of three different interventions on a specific disease?” Modellers interpret the model outcomes and draw conclusions to make accurate, evidence-driven and transparent…
Mathematical modelling can provide timely evidence to guide decision-making. As public health planners strive to prepare for potential outbreaks of COVID-19, this quantification can help identify the type and intensity of control measures required to mitigate infection spread.
Case study on the application of mathematical modelling to assess the impact of a newly-designed intervention on the burden of syphilis in Winnipeg, Manitoba.
Their story illustrates how mathematical modelling can provide timely evidence to guide decision-making by public health planners and practitioners throughout the implementation of a new intervention.
The lessons they share may help to demystify modelling and reveal the benefits of collaborations between modellers and public health personnel.
A glossary of terms with their definitions that can be used to conceptualize and parameterize models consistent with those applied in public health, epidemiology, and clinical settings related to infectious diseases.
School closures continue to be considered by public health as a way to manage the spread and severity of influenza. This project provides an up-to-date review and assessment of studies on the effectiveness of closing schools.
A review of terms commonly used in modelling studies of influenza infection spread and control. The objective is to understand the similarities and discrepancies between definitions of the same terms used in different studies.