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THE
FIELDS INSTITUTE FOR RESEARCH IN MATHEMATICAL SCIENCES
20th
ANNIVERSARY
YEAR
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April
29-30, 2013
Workshop
on Establishing the scientific foundation for Quantitative
Public Health Decision-Making:
Linking surveillance, disease modeling, and simulation
at the Fields Institute
Organizing Committee:
Jianhong Wu (contact), Mprime Centre
for Disease Modeling at York University
David Buckeridge,Surveillance Lab at McGill University
Charmaine Dean, University of Western Ontario
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 This
workshop is part of the MPE2013
pan--Canadian program on "Models and methods in epidemiology, ecology
and public health."
Goal
The goal of the workshop is to establish a high-level framework for real-time
statistical and mathematical analysis of surveillance data to support public
health decision-making.
Motivation
The breadth of data available for public health surveillance data is increasing
rapidly, and data from many sources can now be transmitted to public health
with little or no delay following their initial entry. This situation presents
a remarkable opportunity to improve decision-making in public health practice,
but changes must occur in public health to adapt to this new ‘big data’
reality. In addition to enhancing the skills of the public health workforce
and modernizing the public health informatics infrastructure, new strategies
are needed to analyze the increasing volume of surveillance data and to derive
actionable information.
The last decade has seen an evolution of sophisticated methods for the statistical
and mathematical analysis of surveillance data, but these methods have been
applied mainly in research and policy settings. There is a need to apply these
methods in public health practice contexts where surveillance data must be analyzed
quickly to guide actions. Once a framework is defined for applying these methods
in practice, analytical software can help to translate the methods into practice
settings. Such software could interact with surveillance databases and support
routine as well as ad hoc analyses to integrate data, produce alerts, and guide
decisions. To guide the development of such software, analytical frameworks
must be identified, ideally frameworks that are common across multiple public
health issues. This workshop will take an initial step towards defining such
a framework.
Format
This 2-day workshop will begin with presentations around decision-making, statistical
and mathematical analysis, and visualization in surveillance. Then we will introduce
two case studies, one in environmental health and one in infectious diseases.
Each case study illustrates a current problem in public health practice where
statistical and mathematical models are being used to integrate and analyze
large amounts of surveillance data. Participants will work in small groups to
develop an analytical framework for their problem. The framework will identify
the decisions, values and stakeholders, as well as the data and the analytical
methods. The workshop will close with a discussion of the common aspects of
the two frameworks developed. Following the workshop, a writing group will describe
the results of the case studies and propose a common framework.
Agenda
| April 29th |
| 0900 to 0930 |
Breakfast |
| 0930 to 0940 |
Plan for the workshop (David Buckeridge,
McGill) |
| 0940 to 1000 |
Decision making (Beate Sander, PHO) |
| 1000 to 1020 |
Systems to support decisions (Andre Kushniruk,
UVic) |
| 1020 to 1040 |
Break |
| 1040 to 1100 |
Visualization of surveillance data (Matt Samore,
U of Utah) |
| 1100 to 1120 |
Visualization of laboratory data (Fran Jameison,
PHO) |
| 1120 to 1140 |
Statistical modeling, spatial data (Trisalyn Nelson,
UVic) |
| 1140 to 1200 |
Statistical modeling, surveillance data (Hedy Jiang,
U of Toronto) |
| 1200 to 1330 |
Lunch |
| 1330 to 1350 |
Agent-based modeling (Seyed Moghadas, York) |
| 1350 to 1410 |
Mathematical modeling (Amy Greer, PHAC) |
| 1410 to 1500 |
Open presentations |
| 1500 to 1520 |
Break |
| 1520 to 1530 |
Introduction to case studies (David Buckeridge, McGill) |
| 1530 to 1600 |
The infectious disease scenario (Cecile Tremblay,
INSPQ) |
| 1600 to 1630 |
The environmental health scenario (Sarah Henderson,
BCCDC) |
| 1630 to 1700 |
Introduction to small groups |
| April 30th |
| 0900 to 0930 |
Breakfast |
| 0930 to 1000 |
Small Group Session 1 [Actions, preferences, effectiveness] |
| 1000 to 1100 |
Small Group Session 2 [Simulation exercise - develop process] |
| 1100 to 1120 |
Break |
| 1120 to 1200 |
Small Group Session 3 [Critique] |
| 1200 to 1330 |
Lunch |
| 1330 to 1400 |
Presentation of ID Framework + critique |
| 1400 to 1430 |
Presentation of EH Framework + critique |
| 1430 to 1500 |
Discussion towards a common Framework |
| 1500 to 1530 |
Closing and next steps |
Confirmed Participants (as of April 24, 2013)
| Full Name |
University/Affiliation |
| Albert-Green, Alisha |
University of Western Ontario |
| Andrews, Rob |
(no affiliation) |
| Artaman, Ali |
Eastern Ontario Health Unit |
| Brown, Kevin |
University of Toronto |
| Buckeridge, David |
University of Toronto |
| Cao, Yurong |
York University |
| Chan, Ellen |
Public Health Ontario |
| Chen, Longbin |
York University |
| Dean, Charmaine |
Western University |
| Demarsh, Alex |
McGill |
| Do, Minh T. |
Public Health Agency of Canada |
| Duvvuri, Venkata |
York University |
| Earn, David |
McMaster University |
| Greer, Amy |
Public Health Agency of Canada |
| Henderson, Sarah |
British Columbia Center for Disease Control |
| Hu, Weimin |
Public Health Agency of Canada |
| Hughes, Josie |
University of Toronto |
| Hyder, Ayaz |
Yale University |
| Jamieson, Frances |
Public Health Ontario |
| Jiang, Hedy |
University of Toronto |
| Kushniruk, Andre |
University of Victoria |
| Lavigne, Eric |
Public Health Agency of Canada |
| Leonard, Erin |
Centre for Food-borne, Environmental and Zoonotic Infectious Diseases |
| Li, Lihua |
Western University |
| Lundy, Erin |
Western University |
| Moghadas, Seyed |
York University |
| Nelson, Trisalyn |
University of Victoria |
| Pang, Peter |
National University of Singapore |
| Rababah, Abedallah |
Jordan University of Science and Technology |
| Rajbhandary, Sameer |
Office of Public Health Practice |
| Samore, Matthew |
University of Utah |
| Sander, Beate |
Ontario Agency for Health Protection and Promotion |
| Tremblay, Cécile |
Laboratoire de santé publique du Québec |
| Tuite, Ashleigh |
University of Toronto |
| Ventresca, Mario |
University of Toronto |
| Vrbova, Linda |
Public Health Agency of Canada |
| Walton, Ryan |
Public Health Ontario |
| Winter, Anne |
Public Health Ontario |
| Wu, Jianhong |
Centre for Disease Modelling |
| Xiao, Yanyu |
York University |
| Yang, Yong |
York University |
| Zinszer, Kate |
McGill University |
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