David Buckeridge
Datos Biográficos
| ID | 5514285 |
|---|---|
| NOMBRE | David Buckeridge |
| NOMBRES | David |
| APELLIDO | Buckeridge |
| FIRMA | BUCKERIDGE D |
| AFILIACIONES | McGill University |
| VERIFICADO | No |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAS | 7 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2000 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
Machine learning used to study risk factors for chronic diseases
OBJECTIVES: Machine learning (ML) has received significant attention for its potential to process and learn from vast amounts of data. Our aim was to perform a scoping review to identify studies that used ML to study risk factors for chronic diseases at a population level, notably those that incorporated methods to mitigate algorithmic bias. We focused on ML applications for the most common risk factors for chronic disease: tobacco use, alcohol u…
Canada’s provincial Covid-19 pandemic modelling efforts
Glossary for public health surveillance in the age of data science
Public health surveillance is the ongoing systematic collection, analysis and interpretation of data, closely integrated with the timely dissemination of the resulting information to those responsible for preventing and controlling disease and injury. With the rapid development of data science, encompassing big data and artificial intelligence, and with the exponential growth of accessible and highly heterogeneous health-related data, from health…
Why public health matters today and tomorrow
Public health is critical to a healthy, fair, and sustainable society. Realizing this vision requires imagining a public health community that can maintain its foundational core while adapting and responding to contemporary imperatives such as entrenched inequities and ecological degradation. In this commentary, we reflect on what tomorrow's public health might look like, from the point of view of our collective experiences as researchers in Cana…
The effect of socio-demographic factors on mental health and addiction high-cost use
Despite constituting only 5% of the study cohort, persistent high-cost MHA clients (n = 6455) accounted for ~ 35% of total costs. Efforts to reduce high-cost use should focus on reduction of multimorbidity, connection to a primary care provider (particularly for those with more than one MHA), young patients with schizophrenia, and adequately addressing housing stability
An Innovative Approach to Addressing Childhood Obesity
Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by …
Physician privacy concerns when disclosing patient data for public health purposes during a pandemic influenza outbreak
The uncertainty surrounding a pandemic of a new strain of influenza has not changed the privacy concerns of physicians about disclosing patient data. It is important to address these concerns to ensure reliable reporting during future outbreaks
A Systematic Review of the Effectiveness of Environmental Awareness Interventions
Glossary for public health surveillance in the age of data science
Public health surveillance is the ongoing systematic collection, analysis and interpretation of data, closely integrated with the timely dissemination of the resulting information to those responsible for preventing and controlling disease and injury. With the rapid development of data science, encompassing big data and artificial intelligence, and with the exponential growth of accessible and highly heterogeneous health-related data, from health…
Why public health matters today and tomorrow
Public health is critical to a healthy, fair, and sustainable society. Realizing this vision requires imagining a public health community that can maintain its foundational core while adapting and responding to contemporary imperatives such as entrenched inequities and ecological degradation. In this commentary, we reflect on what tomorrow's public health might look like, from the point of view of our collective experiences as researchers in Cana…
A Systematic Review of the Effectiveness of Environmental Awareness Interventions
Physician privacy concerns when disclosing patient data for public health purposes during a pandemic influenza outbreak
The uncertainty surrounding a pandemic of a new strain of influenza has not changed the privacy concerns of physicians about disclosing patient data. It is important to address these concerns to ensure reliable reporting during future outbreaks
An Innovative Approach to Addressing Childhood Obesity
Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by …
The effect of socio-demographic factors on mental health and addiction high-cost use
Despite constituting only 5% of the study cohort, persistent high-cost MHA clients (n = 6455) accounted for ~ 35% of total costs. Efforts to reduce high-cost use should focus on reduction of multimorbidity, connection to a primary care provider (particularly for those with more than one MHA), young patients with schizophrenia, and adequately addressing housing stability
Why public health matters today and tomorrow
Public health is critical to a healthy, fair, and sustainable society. Realizing this vision requires imagining a public health community that can maintain its foundational core while adapting and responding to contemporary imperatives such as entrenched inequities and ecological degradation. In this commentary, we reflect on what tomorrow's public health might look like, from the point of view of our collective experiences as researchers in Cana…
Glossary for public health surveillance in the age of data science
Public health surveillance is the ongoing systematic collection, analysis and interpretation of data, closely integrated with the timely dissemination of the resulting information to those responsible for preventing and controlling disease and injury. With the rapid development of data science, encompassing big data and artificial intelligence, and with the exponential growth of accessible and highly heterogeneous health-related data, from health…
Canada’s provincial Covid-19 pandemic modelling efforts
Machine learning used to study risk factors for chronic diseases
OBJECTIVES: Machine learning (ML) has received significant attention for its potential to process and learn from vast amounts of data. Our aim was to perform a scoping review to identify studies that used ML to study risk factors for chronic diseases at a population level, notably those that incorporated methods to mitigate algorithmic bias. We focused on ML applications for the most common risk factors for chronic disease: tobacco use, alcohol u…
Medicine (6 obras) · Computer Science (4 obras) · Public health (4 obras) · Political science (3 obras) · Public Health Policies and Education (3 obras) · Public relations (3 obras) · Sociology (3 obras) · Data-Driven Disease Surveillance (2 obras) · Environmental health (2 obras) · Health Policy Implementation Science (2 obras)