Standard epidemiological models for COVID-19 employ variants of compartment (SIR or
susceptible–infectious–recovered) models at local scales, implicitly assuming spatially …

People experiencing homelessness (PEH) face extreme weather exposure and limited
social support. However, few studies have empirically assessed biophysical and social …

ABSTRACT In 2007, the Department of Housing and Urban Development initiated a point-in-
time count of the homeless across the United States. The counts are administered by the …

Recent developments in computing, data entry and generation, and analytic tools have
changed the landscape of modern demography and health research. These changes have …

Information, ideas, and diseases, or more generally, contagions, spread over time and
space through individual transmissions via social networks, as well as through external …

Homelessness is a complex social phenomenon which requires a nuanced understanding
of the development and implementation of lasting solutions. Such an endeavor requires inter …

Society often ascribes negative stereotypes to people experiencing homelessness.
However, people experiencing homelessness have been found to display highly nuanced …

The nearest neighbor model has been a popular model for spatial data. This model
assumes a distance‐based neighborhood structure among a set of entities that define the …

In this chapter we will introduce recent developments in the application of small area
estimation (SAE) such as combining new statistical methods, eg, multilevel regression and …

Many complex systems can be represented as graphs or networks. In numerous
applications it is not possible or desirable to observe the entire network structure. We might …