scholarly journals Geo-spatial analysis of individual-level needle and syringe coverage in Melbourne, Australia

PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0209280
Author(s):  
Daniel O’Keefe ◽  
Anna Wilkinson ◽  
Campbell Aitken ◽  
Paul Dietze
Keyword(s):  
Spatial Analysis ◽  
Individual Level ◽  
Syringe Coverage

Individual-level syringe coverage among Needle and Syringe Program attendees in Australia

2012 ◽  
Vol 122 (3) ◽  
pp. 195-200 ◽  
Author(s):  
Jenny Iversen ◽  
Libby Topp ◽  
Handan Wand ◽  
Lisa Maher
Keyword(s):  
Individual Level ◽  
Syringe Coverage ◽  
Needle And Syringe Program

Measuring individual-level needle and syringe coverage among people who inject drugs in Myanmar

2018 ◽  
Vol 58 ◽  
pp. 22-30 ◽  
Author(s):  
Daniel O’Keefe ◽  
Soe Moe Aung ◽  
Naanki Pasricha ◽  
Thu Wun ◽  
Soe Khaing Linn ◽  
...  
Keyword(s):  
People Who Inject Drugs ◽  
Individual Level ◽  
Syringe Coverage

scholarly journals A HYBRID MODEL FOR STUDYING SPATIAL ASPECTS OF INFECTIOUS DISEASES

2012 ◽  
Vol 54 (1-2) ◽  
pp. 37-49 ◽  
Author(s):  
BENJAMIN J. BINDER ◽  
JOSHUA V. ROSS ◽  
MATTHEW J. SIMPSON
Keyword(s):  
Infectious Disease ◽  
Spatial Analysis ◽  
Infectious Diseases ◽  
Hybrid Model ◽  
Population Level ◽  
Infectious Agents ◽  
Agent Based ◽  
Individual Level ◽  
The Individual ◽  
Spread Of Infection

AbstractWe consider a hybrid model, created by coupling a continuum and an agent-based model of infectious disease. The framework of the hybrid model provides a mechanism to study the spread of infection at both the individual and population levels. This approach captures the stochastic spatial heterogeneity at the individual level, which is directly related to deterministic population level properties. This facilitates the study of spatial aspects of the epidemic process. A spatial analysis, involving counting the number of infectious agents in equally sized bins, reveals when the spatial domain is nonhomogeneous.

scholarly journals Distribution of pulmonary tuberculosis in Rio de Janeiro (Brazil): a spatial analysis

2017 ◽  
Vol 22 (12) ◽  
pp. 4125-4134 ◽  
Author(s):  
Nádia Cristina Pinheiro Rodrigues ◽  
Mônica Kramer de Noronha Andrade ◽  
Gisele O'Dwyer ◽  
Matthew Flynn ◽  
José Ueleres Braga ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Rio De Janeiro ◽  
Incidence Rates ◽  
The State ◽  
Control Measures ◽  
South Coast ◽  
Age Group ◽  
The South ◽  
Metropolitan Regions ◽  
Individual Level

Abstract The aim of this study was to analyze the spatial distribution of the tuberculosis endemic in Rio de Janeiro State from 2002 to 2011. A retrospective study was conducted in the state of Rio de Janeiro from 2002 to 2011. Spatial analysis techniques were used to describe the distribution of tuberculosis incidence in the state. Multilevel Poisson regression model was used to access the relationship of tuberculosis and the following factors: “sex”, “age-group” and “diagnostic year” (individual-level factors). Demographic density and municipality were also included in the model as contextual-level factors. A reduction in endemic tuberculosis was observed over the years. The highest incidence rates were concentrated on the south coast of the state, covering Rio de Janeiro City (capital) and neighboring cities. We detected a significant clustering of high TB incidence rates on the south coast of the state and a cluster of low incidence in the northeastern region of state. The risk of tuberculosis was higher in early 2000s, in males and in 40-59 age group. Metropolitan regions are important risk areas for the spread of tuberculosis. These findings could be used to plan control measures according to the characteristics of each region.

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