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230511 Digital Disease Surveillance System
Event
1
#715807
Seminar 12: Digital Disease Surveillance System Using the Internet and Social Media Data for Covid-19 Forecasting in Canada. Speaker: Dr. Yang (Rena) Yang, 11 May 2023.
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EIDM »
EIDM
EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7
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Networks »
Networks
Networks☜Learn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.☜79B9B9
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OMNI »
OMNI
OMNI☜The One Health Modelling Network for Emerging Infections (OMNI), led by Dr. Huaiping Zhu at York University, will identify gaps that can be used to prioritize more targeted surveillance or data collection and then use those data to refine models. This work will contribute to an improved understanding of the conditions that enable pathogen spread and transmission and identify actions that can most effectively manage these conditions. [1]☜79B9B9
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OMNI – Training »
OMNI – Training
OMNI – Training☜The training of Highly Qualified Personnel (HQP) is aimed at enhancing One Health modelling capacity in Canada which is at the core of our network, as many of the models we aim to build will be developed with doctoral and postdoctoral fellows’ involvement. As a network, we are committed to developing the next generation of mathematical modellers for infectious diseases.☜AECCD8
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OMNI-RÉUNIS Super Spreader Seminar Series (SSSS) »
OMNI-RÉUNIS Super Spreader Seminar Series (SSSS)
OMNI-RÉUNIS Super Spreader Seminar Series (SSSS)☜The OMNI-RÉUNIS Super Spreader Seminar Series (SSSS) encourages Highly Qualified Personnel (HQPs, including postdocs, and graduate students), to present their research, promote their ideas, share their research experience, and establish connections among the various branches of the network. ☜E883B6
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230511 Digital Disease Surveillance System
230511 Digital Disease Surveillance System☜Seminar 12: Digital Disease Surveillance System Using the Internet and Social Media Data for Covid-19 Forecasting in Canada. Speaker: Dr. Yang (Rena) Yang, 11 May 2023.☜E883B6
►
Social networks »
Social networks
Social networks☜☜FFFACD
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Signal Detection from Social Media »
Signal Detection from Social Media
Signal Detection from Social Media☜This project aims to extract features or signals from social media text that are relevant to disease outbreak and at the same time identifying fake signals. We will apply natural language processing techniques, such as linguistic feature extraction, event detection, and deep neural network-based feature extraction, to identify potential signals for disease outbreak. We will investigate machine learning methods for predicting disease outbreak given the identified signals or features.☜FFFACD
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Digital disease surveillance for Emerging Infectious Diseases »
Digital disease surveillance for Emerging Infectious Diseases
Digital disease surveillance for Emerging Infectious Diseases☜This project aims to analyze people’s internet search behaviour regarding health-related information and social media use to guide real-time surveillance of emerging diseases and help predict epidemics. A digital surveillance system would act as an early warning system and help public health authorities and hospitals to plan and respond to emerging infectious disease threats.☜FFFACD
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Surveillance »
Surveillance
Surveillance☜☜FFFACD
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Entered by:-
David Price
NodeID:
#715807
Node type:
Event
Entry date (GMT):
12/3/2023 4:36:00 PM
Last edit date (GMT):
12/3/2023 4:36:00 PM
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