Second Edition: Advances in Spatial Epidemiology of COVID-19
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Global Health".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 2337
Special Issue Editor
Interests: machine learning in public health; spatial statistics; geographic information systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The ongoing COVID-19 pandemic, caused by the SARS-CoV-2 virus, has adversely affected over 191 countries and territories. Understanding the spatial and space–time patterns and determining the factors that can explain/predict COVID-19 epidemiology can help public health decision-makers to better monitor and control disease outbreaks. This Special Issue of the International Journal of Environmental and Public Health Research will highlight the current and emerging spatial, space–time, mathematical, and bioinformatic techniques for addressing COVID-19 epidemiology for targeted interventions. Researchers are encouraged to present their insights into this issue by submitting high-quality reviews or novel research articles relevant to this topic. We highly encourage the submission of interdisciplinary work, particularly from the pandemic epicenters.
Dr. Abolfazl Mollalo
Guest Editor
Manuscript Submission Information
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Keywords
- COVID-19/vaccination/disparities
- spatial analysis/GIS/disease mapping
- spatial and spatio-temporal modeling
- spatial statistics/data mining
- artificial intelligence/machine learning
- artificial neural networks/deep learning/big data
- time-series analysis
- spatial epidemiology
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