Behzad Vahedi

Behzad Vahedi
University of Colorado Boulder | CUB · Department of Geography

PhD student

About

9
Publications
3,182
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592
Citations

Publications

Publications (9)
Article
Full-text available
With COVID-19 affecting every country globally and changing everyday life, the ability to forecast the spread of the disease is more important than any previous epidemic. The conventional methods of disease-spread modeling, compartmental models, are based on the assumption of spatiotemporal homogeneity of the spread of the virus, which may cause fo...
Article
Full-text available
Measurements of human interaction through proxies such as social connectedness or movement patterns have proved useful for predictive modeling of COVID-19, which is a challenging task, especially at high spatial resolutions. In this study, we develop a Spatiotemporal autoregressive model to predict county-level new cases of COVID-19 in the cotermin...
Preprint
Full-text available
With COVID-19 affecting every country globally and changing everyday life, the ability to forecast the spread of the disease is more important than any previous epidemic. The conventional methods of disease-spread modeling, compartmental models, are based on the assumption of spatiotemporal homogeneity of the spread of the virus, which may cause fo...
Preprint
Full-text available
Measurements of human interaction through proxies such as social connectedness or movement patterns have proved useful for predictive modeling of COVID-19. In this study, we first compare the power of Facebook’s social connectedness with cell phone-derived human mobility for predicting county-level new cases of COVID-19. Our experiments show that s...
Article
Full-text available
Objective Although lower respiratory infections (LRI) are among the leading causes of mortality in the United States, their association with underlying factors and geographic variation have not been adequately examined. Methods In this study, explanatory variables (n = 46) including climatic, topographic, socio-economic, and demographic factors we...
Article
Full-text available
Prediction of the COVID-19 incidence rate is a matter of global importance, particularly in the United States. As of 4 June 2020, more than 1.8 million confirmed cases and over 108 thousand deaths have been reported in this country. Few studies have examined nationwide modeling of COVID-19 incidence in the United States particularly using machine-l...
Article
During the first 90 days of the COVID-19 outbreak in the United States, over 675,000 confirmed cases of the disease have been announced, posing unprecedented socioeconomic burden to the country. Due to inadequate research on geographic modeling of COVID-19, we investigated county-level variations of disease incidence across the continental United S...
Conference Paper
Full-text available
We explore the idea of spatial lenses as pieces of software interpreting data sets in a particular spatial view of an environment. The lenses serve to prepare the data sets for subsequent analysis in that view. Examples include a network lens to view places in a literary text, or a field lens to interpret pharmacy sales in terms of seasonal allergy...
Chapter
Full-text available
Geographic Information Systems (GIS) support spatial problem solving by large repositories of procedures, which are mainly operating on map layers. These procedures and their parameters are often not easy to understand and use, especially not for domain experts without extensive GIS training. This hinders a wider adoption of mapping and spatial ana...

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Projects

Projects (2)
Project
To identify and formally specify what spatial information is about, at a level above data models, but independent of particular application domains. The set of core concepts consists of four content concepts (field, object, network, event) and three quality concepts (granularity, accuracy, provenance). It serves as a formal basis for asking and answering spatial questions.