Temporal trends in physical violence, gender differences and spatial vulnerability of the location of victim's residences
This study performed an ecological-level longitudinal analysis, examining violence rates over 4 years. Cases of 4795 victims of physical aggression attended at a Center of Legal Medicine were investigated. Trend analysis was used to evaluate the data, with the creation of polynomial regression models (p < 0.05). Violence rates showed significant temporal variations according to sociodemographic characteristics of victims (p < 0.05) and the circumstances of aggressions (p < 0.05). Moreover, there was a significant increase in violence rate in the North (R2 = 16.1%; p = 0.019) and South (R2â€...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

Dynamics of dengue disease with human and vector mobility
Publication date: June 2018Source: Spatial and Spatio-temporal Epidemiology, Volume 25Author(s): Murali Krishna Enduri, Shivakumar JoladAbstractDengue is a vector borne disease transmitted to humans by Aedes aegypti mosquitoes carrying virus of different serotypes. Dengue exhibits complex spatial and temporal dynamics, influenced by various biological, human and environmental factors. In this work, we study the dengue spread for a single serotype (DENV-1) including statistical models of human mobility with exponential step length distribution, by using reaction–diffusion equations and Stochastic Cellular Automata (SCA) a...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

Spatially-explicit survival modeling with discrete grouping of cancer predictors
Publication date: Available online 21 June 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Georgiana Onicescu, Andrew B Lawson, Jiajia Zhang, Mulugeta Gebregziabher, Kristin Wallace, Jan M. EberthAbstractIn this paper, the spatially explicit survival model is extended by allowing the relation with the explanatory covariates to be spatially adaptive using a threshold conditional autoregressive (CAR) model, further extended to allow the inclusion of multiple threshold levels. The model is applied to prostate cancer survival based on Louisiana SEER registry, which holds individual records linked to vital outcom...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

Kernel density analysis reveals a halo pattern of breast cancer incidence in Connecticut
Publication date: August 2018Source: Spatial and Spatio-temporal Epidemiology, Volume 26Author(s): Natalya Rybnikova, Richard G. Stevens, David I. Gregorio, Holly Samociuk, Boris A. PortnovAbstractBreast cancer (BC) incidence rates in Connecticut are among the highest in the United States, and are unevenly distributed within the state. Our goal was to determine whether artificial light at night (ALAN) played a role. Using BC records obtained from the Connecticut Tumor Registry, we applied the double kernel density (DKD) estimator to produce a continuous relative risk surface of a disease throughout the State. A multi-varia...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

Analysis of the spatial distribution of scientific publications regarding vector-borne diseases related to climate variability in South America
The objectives of this work were to analyze the distribution and abundance of publications on vector-borne diseases associated with climate variability in South America, identify those works that conducted a geographic analysis and detect the countries where outbreaks occurred and the climate variables with which they were associated. A systematic review of the literature published on vector-borne diseases linked to climate variability in South America was conducted, identifying, evaluating and summarizing scientific papers. The distribution of the study areas and disease type in the publications were represented on maps. ...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

A multivariable assessment of the spatio-temporal distribution of pyrethroids performance on the sea lice Caligus rogercresseyi in Chile
In this study we explored the spatial and temporal variation of C. rogercresseyi’s response to pyrethroids in Chile from 2012 to 2013. We modeled lice abundance one week after treatment with a linear mixed-effects regression, and then we performed spatial and spatio-temporal cluster analyses on farm-level effects and on treatment-level residuals, respectively. Results indicate there were two areas where the post-treatment lice counts were significantly higher than in the rest of the study area. These spatial clusters remained even once we adjusted for environmental and management predictors, suggesting unmeasured factors...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

A note on intrinsic conditional autoregressive models for disconnected graphs
Publication date: August 2018Source: Spatial and Spatio-temporal Epidemiology, Volume 26Author(s): Anna Freni-Sterrantino, Massimo Ventrucci, HÃ¥vard RueAbstractIn this note we discuss (Gaussian) intrinsic conditional autoregressive (CAR) models for disconnected graphs, with the aim of providing practical guidelines for how these models should be defined, scaled and implemented. We show how these suggestions can be implemented in two examples, on disease mapping. (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

Cost-efficient case-control cluster sampling designs for population-based epidemiological studies
Publication date: August 2018Source: Spatial and Spatio-temporal Epidemiology, Volume 26Author(s): Thomas Ly, Myles Cockburn, Bryan LangholzAbstractCost-efficient sampling schemes for population-based case-control studies are necessary for sampling subjects in geographically dispersed populations where in-house surveys are expensive to conduct due to high interviewer travel costs that may be associated with simple random sampling. Motivated by the original study conducted by Cockburn et al. (2011) that investigated the relationship between exposure to pesticides and prostate carcinogenesis, a set of cluster-based individu...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

Regional variation in lung and bronchus cancer survival in the US using mortality-to-incidence ratios
This study used mortality-to-incidence rate ratios (MIR) calculated from 2008 to 2012 National Cancer Institute data to highlight state-level variations in relative lung and bronchus cancer survival. In an ad hoc sensitivity analysis, we calculated a correlation between our state-level MIRs and five-year 1-survival rates for states reporting incident lung and bronchus cancer cases (2004–2008) to the Surveillance, Epidemiology, and End Results (SEER) Program database. Differences were observed in state lung and bronchus cancer MIRs, with the highest MIR values (poor relative survival) in southern states and the lowest MIR...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

The spread of mosquito-borne viruses in modern times: A spatio-temporal analysis of dengue and chikungunya
In conclusion, our analysis provides crucial insights, which can be applied to improve nations' surveillance and preparedness for future vector-borne disease epidemics. (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

The geo-spatial distribution of childhood diarrheal disease in West Africa, 2008–2013: A covariate-adjusted cluster analysis
Publication date: August 2018Source: Spatial and Spatio-temporal Epidemiology, Volume 26Author(s): Gillian Dunn, Glen D. JohnsonAbstractDiarrhea is a major cause of morbidity and mortality among children in West Africa. To determine whether there are areas of heightened risk and if so, how they may be influenced by household and climatic variables, we describe the geo-spatial distribution of childhood diarrhea in ten countries of West Africa for the period 2008–2013 using data from Demographic and Health Surveys. The purely spatial scan statistic was applied, where the observed diarrhea cases were modeled as a Poisson va...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

Mapping rural–urban disparities in late-stage cancer with high-resolution rurality index and GWR
Publication date: August 2018Source: Spatial and Spatio-temporal Epidemiology, Volume 26Author(s): Liang Mao, Jue Yang, Guangran DengAbstractEffects of urban/rural residence on late-stage cancer have long been explored, but remained controversial. Spatial granularity of rural definition, temporal change of rurality, and local variability of such effects may contribute to inconsistent findings, but they have not been fully addressed. We proposed a spatially resolved and temporally comparable rurality index and a geographically weighted regression approach to re-examine this question. Taking Florida as an example, our analys...
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2018 Category: Epidemiology Source Type: research

Potential effects of climate change on the risk of accidents with poisonous species of the genus Tityus (Scorpiones, Buthidae) in Argentina
Publication date: Available online 6 April 2018 Source:Spatial and Spatio-temporal Epidemiology Author(s): Pablo Ariel Martinez, Mayane Alves Andrade, Claudio Juan Bidau Knowing the factors that affect the geographic distribution of species allows inferring their potential localization. Human beings, through the expansion of their own distribution area and their contribution to climate alteration have modified the geographic distribution of other biological species. Consequently, the temporal pattern of co-occurrence of human beings and venomous species (scorpions, spiders, snakes) is changing. Thus, the temporal patt...
Source: Spatial and Spatio-temporal Epidemiology - April 7, 2018 Category: Epidemiology Source Type: research

Dynamics of dengue disease with human and vector mobility
Publication date: Available online 10 March 2018 Source:Spatial and Spatio-temporal Epidemiology Author(s): Murali Krishna Enduri, Shivakumar Jolad Dengue is a vector borne disease transmitted to humans by Aedes aegypti mosquitoes carrying virus of different serotypes. Dengue exhibits complex spatial and temporal dynamics, influenced by various biological, human and environmental factors. In this work, we study the dengue spread for a single serotype (DENV-1) including statistical models of human mobility with exponential step length distribution, by using reaction-diffusion equations and Stochastic Cellular Automata (...
Source: Spatial and Spatio-temporal Epidemiology - March 10, 2018 Category: Epidemiology Source Type: research

Temporal trends in physical violence, gender differences and spatial vulnerability of the location of victim's residences
This study performed an ecological-level longitudinal analysis, examining violence rates over four years. Cases of 4,795 victims of physical aggression attended at a Center of Legal Medicine were investigated. Trend analysis was used to evaluate the data, with the creation of polynomial regression models (p &lt; 0,05). Violence rates showed significant temporal variations according to sociodemographic characteristics of victims (p &lt; 0.05) and the circumstances of aggressions (p &lt; 0.05). Moreover, there was a significant increase in violence rate in the North (R2 = 16.1%; p = 0.019) and South (R2â€...
Source: Spatial and Spatio-temporal Epidemiology - February 15, 2018 Category: Epidemiology Source Type: research