scholarly journals Error propagation models to examine the effects of geocoding quality on spatial analysis of individual-level datasets

2012 ◽  
Vol 3 (1) ◽  
pp. 69-82 ◽  
Author(s):  
P.A. Zandbergen ◽  
T.C. Hart ◽  
K.E. Lenzer ◽  
M.E. Camponovo
Keyword(s):  
Spatial Analysis ◽  
Error Propagation ◽  
Propagation Models ◽  
Individual Level

NESTING ALGORITHM FOR DUAL-GRAPH ERROR PROPAGATION MODELS

2021 ◽  
Vol 3 (2) ◽  
pp. 5-11
Author(s):  
Fusheng Zhao ◽  
Andrey Morozov ◽  
Nafisa Yusupova ◽  
Kalus Janschek
Keyword(s):  
Error Propagation ◽  
Dual Graph ◽  
Propagation Models ◽  
Nesting Algorithm

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 Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review

2021 ◽  
Author(s):  
Marie Garin ◽  
Myrto Limnios ◽  
Alice Nicolaï ◽  
Ioannis Bargiotas ◽  
Olivier Boulant ◽  
...  
Keyword(s):  
Open Access ◽  
Scientific Community ◽  
Theoretical Background ◽  
Intervention Strategies ◽  
Epidemic Models ◽  
Epidemiological Models ◽  
Propagation Models ◽  
Methodological Review ◽  
Individual Level ◽  
Estimation Procedures

AbstractWe review epidemiological models for the propagation of the COVID-19 pandemic during the early months of the outbreak: from February to May 2020. The aim is to propose a methodological review that highlights the following characteristics: (i) the epidemic propagation models, (ii) the modeling of intervention strategies, (iii) the models and estimation procedures of the epidemic parameters and (iv) the characteristics of the data used. We finally selected 80 articles from open access databases based on criteria such as the theoretical background, the reproducibility, the incorporation of interventions strategies, etc. It mainly resulted to phenomenological, compartmental and individual-level models. A digital companion including an online sheet, a Kibana interface and a markdown document is proposed. Finally, this work provides an opportunity to witness how the scientific community reacted to this unique situation.

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.

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

scholarly journals Using Electromagnetic Signal Propagation Models for Radio and Television Broadcasts: An Introduction

2018 ◽  
Vol 26 (3) ◽  
pp. 348-355 ◽  
Author(s):  
Charles Crabtree ◽  
Holger L. Kern
Keyword(s):  
Media Exposure ◽  
Signal Strength ◽  
Signal Propagation ◽  
Electromagnetic Signal ◽  
Social Scientists ◽  
Propagation Models ◽  
Radio Stations ◽  
Individual Level ◽  
Level Data ◽  
Television Signal

This note offers an introduction to electromagnetic signal propagation models, which can be used to model terrestrial radio and television signal strength across space. Such data are useful to social scientists interested in identifying the effects of mass media broadcasts when (i) individual-level data on media exposure do not exist or when (ii) media exposure, while observed, is not exogenous. We illustrate the use of electromagnetic signal propagation models by creating a signal strength measure of military-controlled radio stations during the 2012 coup in Mali.

Proportion of Individuals With Past-Year Suicidal Ideation Who Attempted Suicide Over the Past 10 Years in the United States, and the Influence of Age and Sex

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Shannon Lange ◽  
Courtney Bagge ◽  
Charlotte Probst ◽  
Jürgen Rehm
Keyword(s):  
United States ◽  
Suicidal Ideation ◽  
Random Effects ◽  
Attempted Suicide ◽  
Suicide Attempts ◽  
The United States ◽  
Individual Level ◽  
The Past ◽  
Meta Analyses ◽  
Age Category

Abstract. Background: In recent years, the rate of death by suicide has been increasing disproportionately among females and young adults in the United States. Presumably this trend has been mirrored by the proportion of individuals with suicidal ideation who attempted suicide. Aim: We aimed to investigate whether the proportion of individuals in the United States with suicidal ideation who attempted suicide differed by age and/or sex, and whether this proportion has increased over time. Method: Individual-level data from the National Survey on Drug Use and Health (NSDUH), 2008–2017, were used to estimate the year-, age category-, and sex-specific proportion of individuals with past-year suicidal ideation who attempted suicide. We then determined whether this proportion differed by age category, sex, and across years using random-effects meta-regression. Overall, age category- and sex-specific proportions across survey years were estimated using random-effects meta-analyses. Results: Although the proportion was found to be significantly higher among females and those aged 18–25 years, it had not significantly increased over the past 10 years. Limitations: Data were self-reported and restricted to past-year suicidal ideation and suicide attempts. Conclusion: The increase in the death by suicide rate in the United States over the past 10 years was not mirrored by the proportion of individuals with past-year suicidal ideation who attempted suicide during this period.

Development and Validation of a German Language Unit-Level Organizational Citizenship Behavior (OCB) Scale

2020 ◽  
Vol 36 (5) ◽  
pp. 852-863 ◽  
Author(s):  
George Gunnesch-Luca ◽  
Klaus Moser
Keyword(s):  
Factor Analysis ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Helping Behavior ◽  
Citizenship Behavior ◽  
German Language ◽  
Individual Level ◽  
Unit Level ◽  
Confirmatory Factor ◽  
Development And Validation

Abstract. The current paper presents the development and validation of a unit-level Organizational Citizenship Behavior (OCB) scale based on the Referent-Shift Consensus Model (RSCM). In Study 1, with 124 individuals measured twice, both an Exploratory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) established and confirmed a five-factor solution (helping behavior, sportsmanship, loyalty, civic virtue, and conscientiousness). Test–retest reliabilities at a 2-month interval were high (between .59 and .79 for the subscales, .83 for the total scale). In Study 2, unit-level OCB was analyzed in a sample of 129 work teams. Both Interrater Reliability (IRR) measures and Interrater Agreement (IRA) values provided support for RSCM requirements. Finally, unit-level OCB was associated with group task interdependence and was more predictable (by job satisfaction and integrity of the supervisor) than individual-level OCB in previous research.

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