The incidence of disease across geographic space often produces distinctive regional patterns. In this paper, a modeling approach to the identification of the factors that shape the patterns is presented, and a procedure for fitting the model to observed data is given. The methodology is illustrated by an application to the geographic structure of measles epidemics among 22 states of the northeastern United States, New York City, and Washington, D.C., from 1962 to 1988. The patterns identified are interpreted in terms of the spatial behavior of measles epidemics in the region, and the implications of the methodology for surveillance and control are considered
Incidence of infectious diseases is an under-researched topic in regional science. This situation is...
BACKGROUND: Understanding the mechanism of influenza spread across multiple geographic scales is not...
In this paper, the authors develop a method of detecting correlations between epidemic patterns in d...
The incidence of disease across geographic space often produces distinctive regional patterns. In th...
Geographical coherence may be defined as the degree to which the behaviour of a time series in one g...
Spatial-temporal patterns of measles incidence reflect the spatial distribution of human hosts. The ...
Despite the significant amount of research conducted on the epidemiology of seasonal influenza, the ...
A key issue in infectious disease epidemiology is to identify and predict geographic sites of epidem...
Lyme disease is the most common vector-borne disease in North America. Annually, about 30,000 cases ...
Mathematical models can help elucidate the spatio-temporal dynamics of epidemics as well as the impa...
We present a spatial variant of the time series susceptible-infectious-recovered (TSIR) stochastic p...
During transmission of seasonal endemic diseases such as measles and influenza, spatial waves of inf...
Measles epidemics exhibit annual seasonality in which epidemics start in the autumn and peak in the ...
Background: Understanding the mechanism of influenza spread across multiple geographic scales is not...
<p>(A) Total incidence by city and (B) Incidence rate by city. Cities labeled in blue and shown by a...
Incidence of infectious diseases is an under-researched topic in regional science. This situation is...
BACKGROUND: Understanding the mechanism of influenza spread across multiple geographic scales is not...
In this paper, the authors develop a method of detecting correlations between epidemic patterns in d...
The incidence of disease across geographic space often produces distinctive regional patterns. In th...
Geographical coherence may be defined as the degree to which the behaviour of a time series in one g...
Spatial-temporal patterns of measles incidence reflect the spatial distribution of human hosts. The ...
Despite the significant amount of research conducted on the epidemiology of seasonal influenza, the ...
A key issue in infectious disease epidemiology is to identify and predict geographic sites of epidem...
Lyme disease is the most common vector-borne disease in North America. Annually, about 30,000 cases ...
Mathematical models can help elucidate the spatio-temporal dynamics of epidemics as well as the impa...
We present a spatial variant of the time series susceptible-infectious-recovered (TSIR) stochastic p...
During transmission of seasonal endemic diseases such as measles and influenza, spatial waves of inf...
Measles epidemics exhibit annual seasonality in which epidemics start in the autumn and peak in the ...
Background: Understanding the mechanism of influenza spread across multiple geographic scales is not...
<p>(A) Total incidence by city and (B) Incidence rate by city. Cities labeled in blue and shown by a...
Incidence of infectious diseases is an under-researched topic in regional science. This situation is...
BACKGROUND: Understanding the mechanism of influenza spread across multiple geographic scales is not...
In this paper, the authors develop a method of detecting correlations between epidemic patterns in d...