Spatiotemporal disease mapping and analysis (I)
Type: Virtual Paper
Day: 2/28/2022
Start Time: 8:00 AM
End Time: 9:20 AM
Theme:
Sponsor Group(s):
Health and Medical Geography Specialty Group
, Spatial Analysis and Modeling Specialty Group
, Geographic Information Science and Systems Specialty Group
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Organizer(s):
Hui Luan
, Eric Delmelle
, Michael Desjardins
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Chairs(s):
Hui Luan, University of Oregon
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Description:
Mapping disease incidence/prevalence and identifying risk factors have been longstanding areas of interest in public health and spatial epidemiology. The emergence of the COVID-19 pandemic has stimulated extensive research in spatiotemporal disease mapping and analysis, including a flood of dashboard visualizing disease spread over space and time via Web and mobile applications. With innovations in data acquisition and dissemination, and with methodological advances in analyzing complex longitudinal data, contemporary disease mapping research has been increasingly focused on understanding how health varies across space, time, socioeconomic, and demographic groups. There are, however, a number of unresolved and challenging methodological issues in mapping and analyzing spatiotemporal health outcomes and behaviours, including but not limited to:
• Sparse data and noise (e.g., zero-inflation)
• Spatiotemporally misaligned data analysis
• Multiscale modeling
• Spatially and temporally varying regression modeling
• Multivariate modeling of more than one health outcome
• Missing data and imputation
• Spatiotemporal cluster detection
• Disease surveillance
• Uncertainty modelling and quantification
• Human mobility and social distancing in disease spreading
• Geoprivacy
• Geovisual analytics of disease patterns
Presentation(s), if applicable
Michael Desjardins, ; Uncertainty in Geospatial Health: Challenges and Opportunities Ahead |
Eric Delmelle, ; What is the role of scale in the early detection of COVID19 outbreaks? |
Natalie Memarsadeghi, ; Modeling Malaria Risk for Three Provinces in Thailand |
Non-Presenting Participants Agenda
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Spatiotemporal disease mapping and analysis (I)
Description
Virtual Paper
Contact the Primary Organizer
Hui Luan - hluan@uoregon.edu