Measuring neighbourhood social dimensions using individual responses: an application of multilevel factor analysis and ecometrics
Publication date: Available online 2 December 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Beatriz Caicedo-Velásquez, Kelvyn Jones (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - December 4, 2019 Category: Epidemiology Source Type: research

Multivariate spatiotemporal modeling of drug- and alcohol-poisoning deaths in New York City, 2009–2014
Publication date: February 2020Source: Spatial and Spatio-temporal Epidemiology, Volume 32Author(s): Yusuf Ransome, S.V. Subramanian, Dustin T. Duncan, Daivid Vlahov, Joshua WarrenAbstractDrug- and alcohol-poisoning deaths remain current public health problems. Studies to date have typically focused on individual-level predictors of drug overdose deaths, and there remains a limited understanding of the spatiotemporal patterns and predictors of the joint outcomes. We use a hierarchical Bayesian spatiotemporal multivariate Poisson regression model on data from (N = 167) ZIP-codes between 2009 and 2014 in New York City to...
Source: Spatial and Spatio-temporal Epidemiology - November 28, 2019 Category: Epidemiology Source Type: research

Environmental factors affecting ecological niche of Coccidioides species and spatial dynamics of valley fever in the western United States
This study's objective was to estimate the impact of climate, soil, elevation and land cover on the Coccidioides species’ ecological niche. This research used maximum entropy ecological niche modeling based on disease case data from 2015 to 2016. Results found mean temperature of the driest quarter, and barren, shrub, and cultivated land covers influential in characterizing the niche. In addition to hotspots in central California and Arizona, the Columbia Plateau ecoregion of Washington and Oregon showed more favorable conditions for fungus presence than surrounding areas. The identification of influential spatial dr...
Source: Spatial and Spatio-temporal Epidemiology - November 20, 2019 Category: Epidemiology Source Type: research

Multivariate spatiotemporal modeling of drug- and alcohol-poisoning deaths in New York City, 2009-2014
Publication date: Available online 11 November 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Yusuf Ransome, S.V. Subramanian, Dustin T. Duncan, Daivid Vlahov, Joshua WarrenAbstractDrug- and alcohol-poisoning deaths remain current public health problems. Studies to date have typically focused on individual-level predictors of drug overdose deaths, and there remains a limited understanding of the spatiotemporal patterns and predictors of the joint outcomes. We use a hierarchical Bayesian spatiotemporal multivariate Poisson regression model on data from (N=167) ZIP-codes between 2009 and 2014 in New York City...
Source: Spatial and Spatio-temporal Epidemiology - November 13, 2019 Category: Epidemiology Source Type: research

Editorial Board
Publication date: November 2019Source: Spatial and Spatio-temporal Epidemiology, Volume 31Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - November 1, 2019 Category: Epidemiology Source Type: research

Examining the role of a retail density ordinance in reducing concentration of tobacco retailers
Publication date: Available online 28 October 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Priyanka Vyas, Hugh Sturrock, Pamela LingAbstractNeighborhood characteristics and the built environment are important determinants in shaping health inequalities. We evaluate the role of a retail density ordinance in reducing concentration of tobacco stores based on neighborhood characteristics and land use pattern in San Francisco. The study evaluated the spatial distribution of tobacco retailers before and after the ordinance to identify geographic pockets where the most significant reduction had occurred. A gener...
Source: Spatial and Spatio-temporal Epidemiology - October 29, 2019 Category: Epidemiology Source Type: research

Application of kernel smoothing to estimate the spatio-temporal variation in risk of STEC O157 in England
Publication date: Available online 24 October 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Richard Elson, Tilman M. Davies, Claire Jenkins, Roberto Vivancos, Sarah J. O'Brien, Iain R. Lake (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - October 26, 2019 Category: Epidemiology Source Type: research

Herd and environmental determinants of reproductive performance in Swedish dairy herds, 2001–2009
Publication date: November 2019Source: Spatial and Spatio-temporal Epidemiology, Volume 31Author(s): M.A. Stevenson, E. Löf, M. Söderström, H. Gustafsson, U. EmanuelsonAbstractThis was a retrospective cohort study of Swedish dairy herds. Summary measures of production and reproductive performance, details of soil, moss mineral concentrations, and temperature and rainfall measurements at each herd location were available for the period September 2001 to August 2009. A Bayesian mixed-effects regression model including spatial and non-spatial heterogeneity terms was developed to quantify associations between hy...
Source: Spatial and Spatio-temporal Epidemiology - September 15, 2019 Category: Epidemiology Source Type: research

Comparison of different software implementations for spatial disease mapping
Publication date: Available online 9 August 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): M. Vranckx, T. Neyens, C. FaesAbstractDisease mapping is a scientific field that aims to understand and predict disease risk based on counts of observed cases within small regions of a study area of interest. Hierarchical model-based approaches that borrow information from neighbouring areas via conditional autoregressive (CAR) random effects on the local disease rates have gained a lot of popularity, thanks to the readily implemented Markov chain Monte Carlo methods. Nowadays, many software implementations to model r...
Source: Spatial and Spatio-temporal Epidemiology - August 23, 2019 Category: Epidemiology Source Type: research

Spatio-Temporal Analysis of Differences in Campylobacteriosis Incidence between Urban and Rural Areas in the Southern District Health Board, New Zealand
The objective of this paper is to investigate differences in campylobacteriosis incidence between urban and rural areas in the Southern District Health Board of New Zealand between 2000-2015. The data were analysed using a Bayesian change-point model to evaluate how campylobacteriosis incidence changed over time and to see whether the dynamics differed between rural and urban areas. A conditional auto regressive error term was introduced to account for any spatial effects. The results of our analysis showed that campylobacteriosis incidence increased between 2000-2005, decreased between 2006-2008 then stabilised from 2009 ...
Source: Spatial and Spatio-temporal Epidemiology - August 17, 2019 Category: Epidemiology Source Type: research

Editorial Board
Publication date: August 2019Source: Spatial and Spatio-temporal Epidemiology, Volume 30Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - August 16, 2019 Category: Epidemiology Source Type: research

Bayesian Hierarchical Spatial Models: Implementing the Besag York Mollié Model in Stan
This report presents a new implementation of the Besag-York-Mollié (BYM) model in Stan, a probabilistic programming platform which does full Bayesian inference using Hamiltonian Monte Carlo (HMC). We review the spatial auto-correlation models used for areal data and disease risk mapping, and describe the corresponding Stan implementations. We also present a case study using Stan to fit a BYM model for motor vehicle crashes injuring school-age pedestrians in New York City from 2005-2014 localized to census tracts. Stan efficiently fit our multivariable BYM model having a large number of observations (n=2095 census tr...
Source: Spatial and Spatio-temporal Epidemiology - August 13, 2019 Category: Epidemiology Source Type: research

Model-based small area estimation at two scales using Moran's spatial filtering
Publication date: Available online 8 August 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Phuong N. Truong, Alfred SteinAbstractIn spatial epidemiology and public health studies, including covariates in small area estimation of spatial binary data remains a challenge. In this paper, Moran's spatial filtering is proposed to model two-scale spatial binary data. Two models are developed: the first uses deterministic estimation of the sample size at small areal level; the second generates a random sample size using the multinomial distribution. The models were applied to estimate the underweight among children...
Source: Spatial and Spatio-temporal Epidemiology - August 10, 2019 Category: Epidemiology Source Type: research

Comparison of different software implementations for spatial disease mapping.
Publication date: Available online 9 August 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Vranckx M., Neyens T., Faes C.AbstractDisease mapping is a scientific field that aims to understand and predict disease risk based on counts of observed cases within small regions of a study area of interest. Hierarchical model-based approaches that borrow information from neighbouring areas via conditional autoregressive (CAR) random effects on the local disease rates have gained a lot of popularity, thanks to the readily implemented Markov chain Monte Carlo methods. Nowadays, many software implementations to model r...
Source: Spatial and Spatio-temporal Epidemiology - August 10, 2019 Category: Epidemiology Source Type: research

Associations of neighbourhood safety with leisure-time walking and cycling in population subgroups: the HELIUS study
We examined the association of neighbourhood safety with leisure-time walking and cycling in the population at large, as well as in some subgroups in terms of sex, age, ethnicity and socio-economic position. We used data of 19,914 participants (18-70 years) from a study in Amsterdam, the Netherlands. Leisure-time walking and cycling in minutes/week were assessed with standard questionnaire. Geographic Information System techniques were used to examine neighbourhood safety (range=1-10). Multilevel linear regression analyses showed positive associations between safety and walking (B=7.9, 95% CI=-6.2-21.9) and cycling (B=14.8...
Source: Spatial and Spatio-temporal Epidemiology - August 8, 2019 Category: Epidemiology Source Type: research

Herd and environmental determinants of reproductive performance in Swedish dairy herds, 2001-2009
Publication date: Available online 31 July 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): M.A. Stevenson, E. Löf, M. Söderström, H. Gustafsson, U. EmanuelsonAbstractThis was a retrospective cohort study of Swedish dairy herds. Summary measures of production and reproductive performance, details of soil, moss mineral concentrations, and temperature and rainfall measurements at each herd location were available for the period September 2001 to August 2009. A Bayesian mixed-effects regression model including spatial and non-spatial heterogeneity terms was developed to quantify associations betwe...
Source: Spatial and Spatio-temporal Epidemiology - August 1, 2019 Category: Epidemiology Source Type: research

Activity space metrics not associated with sociodemographic variables, diet or health outcomes in the Seattle Obesity Study II
ConclusionSpatial mobility studies based on GPS tracking of environmental exposure need to demonstrate a link to relevant health outcomes. (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 13, 2019 Category: Epidemiology Source Type: research

Hospital Surge Capacity for an Influenza Pandemic in the Triangle Region of North Carolina
Publication date: Available online 8 July 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Rachel L. Woodul, Paul L. Delamater, Michael EmchAbstractThis research investigates the geographic aspects of health care delivery in the event of a sudden increase in the need for care. We constructed an integrated disease outbreak and surge capacity model to evaluate the ability of a region's healthcare system to provide care in the event of a pandemic. In a case study, we implement the model to investigate how an influenza pandemic similar to the 1918 Spanish Flu pandemic would affect the population of the Raleigh-Du...
Source: Spatial and Spatio-temporal Epidemiology - July 10, 2019 Category: Epidemiology Source Type: research

Density of Low-Barrier Opioid Agonist Clinics and Risk of Non-Fatal Overdose During a Community-Wide Overdose Crisis: A Spatial Analysis
ConclusionThis study found that higher availability of methadone clinics was associated with decreased odds of living within OD clusters. (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 6, 2019 Category: Epidemiology Source Type: research

Bayesian deprivation index models for explaining variation in elevated blood lead levels among children in Maryland
Publication date: Available online 4 July 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): David C. Wheeler, Shyam Raman, Resa M. Jones, Mario Schootman, Erik J. NelsonAbstractLead exposure adversely affects children's health. Exposure in the United States is highest among socioeconomically disadvantaged individuals who disproportionately live in substandard housing. We used Bayesian binomial regression models to estimate a neighborhood deprivation index and its association with elevated blood lead level (EBLL) risk using blood lead level testing data in Maryland census tracts. Our results show the probabilit...
Source: Spatial and Spatio-temporal Epidemiology - July 6, 2019 Category: Epidemiology Source Type: research

Stability of Activity Space Footprint, Size, and Environmental Features over Six Months
Publication date: Available online 4 July 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Amber N. Kraft, Kelly K. Jones, Ting-Ti Lin, Stephen A. Matthews, Shannon N. ZenkAbstractAs activity space measures are increasingly used to estimate exposure to environmental determinants of health, little is known about the stability of these measures over time. To test the stability of GPS-derived measures of activity-space footprint, size, and environmental features over time, we compared 14-day measures at baseline and six months later for 35 adults in a large city. Activity-space measures were based on convex hull...
Source: Spatial and Spatio-temporal Epidemiology - July 6, 2019 Category: Epidemiology Source Type: research

Analysis of Racial Differences in Hospital Stays in the Presence of Geographic Confounding
Publication date: Available online 5 July 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Melanie L. Davis, Brian Neelon, Paul J. Nietert, Lane F. Burgette, Kelly J. Hunt, Andrew B. Lawson, Leonard E. EgedeAbstractUsing recent methods for spatial propensity score modeling, we examine differences in hospital stays between non-Hispanic black and non-Hispanic white veterans with type 2 diabetes. We augment a traditional patient-level propensity score model with a spatial random effect to create a matched sample based on the estimated propensity score. We then use a spatial negative binomial hurdle model to esti...
Source: Spatial and Spatio-temporal Epidemiology - July 6, 2019 Category: Epidemiology Source Type: research

Investigating spatial disparities in high-risk women and HIV infections using generalized additive models: results from a cohort of South African women
ConclusionTargeting multifactorial and complex nature of the epidemic is urgently needed to identify the “high transmission” areas. (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - May 30, 2019 Category: Epidemiology Source Type: research

Spatial distribution of inequalities in end-stage renal disease in the United States
Publication date: Available online 28 May 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Fırat BilgelAbstractThis paper assesses the locally varying effects of socioeconomic, racial and morbidity-related geographic heterogeneity on end-stage renal disease prevalence in the contiguous United States. Employing an exploratory spatial data analysis and a geographically weighted Poisson regression that takes into account spatial nonstationarity, spatial autocorrelation and the nature of count data, findings indicate a striking continental divide in the United States not only in terms of ESRD burden but also in ...
Source: Spatial and Spatio-temporal Epidemiology - May 28, 2019 Category: Epidemiology Source Type: research

Editorial Board
Publication date: June 2019Source: Spatial and Spatio-temporal Epidemiology, Volume 29Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - May 24, 2019 Category: Epidemiology Source Type: research

Special Issue on Spatial Survival from GEOMED 2017
Publication date: June 2019Source: Spatial and Spatio-temporal Epidemiology, Volume 29Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - May 24, 2019 Category: Epidemiology Source Type: research

Special Issue: Surveillance and Zoonosis
Publication date: June 2019Source: Spatial and Spatio-temporal Epidemiology, Volume 29Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - May 24, 2019 Category: Epidemiology Source Type: research

Quantifying geographic regions of excess stillbirth risk in the presence of spatial and spatio-temporal heterogeneity
Publication date: Available online 9 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): David Zahrieh, Jacob J. Oleson, Paul A. RomittiAbstractMotivated by population-based geocoded data for Iowa stillbirths and live births delivered during 2005-2011, we sought to identify spatio-temporal variation of stillbirth risk. Our high-quality data consisting of point locations of these delivery events allows use of a Bayesian Poisson point process approach to evaluate the spatial pattern of events. With this large epidemiologic dataset, we implemented the integrated nested Laplace approximation (INLA) to fit the ...
Source: Spatial and Spatio-temporal Epidemiology - April 11, 2019 Category: Epidemiology Source Type: research

Estimating the health impact of air pollution in Scotland, and the resulting benefits of reducing concentrations in city centres
Publication date: Available online 9 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Duncan Lee, Chris Robertson, Colin Ramsay, Colin Gillespie, Gary NapierAbstractAir pollution continues to be a key health issue in Scotland, despite recent improvements in concentrations. The Scottish Government published the Cleaner Air For Scotland strategy in 2015, and will introduce Low Emission Zones (LEZs) in the four major cities (Aberdeen, Dundee, Edinburgh and Glasgow) by 2020. However, there is no epidemiological evidence quantifying the current health impact of air pollution in Scotland, which this paper add...
Source: Spatial and Spatio-temporal Epidemiology - April 11, 2019 Category: Epidemiology Source Type: research

A Bayesian Spatio-temporal Analysis on Racial Disparities in Hypertensive Disorders of Pregnancy in Florida, 2005-2014
Publication date: Available online 6 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Hui Hu, Hong Xiao, Yi Zheng, Bo (Bonnie) YuAbstractDisparities in hypertensive disorders of pregnancy (HDP) exist among racial and ethnic groups in the US. However, little is known about spatio-temporal variations in HDP disparities. We used a Bayesian hierarchical regression approach to investigate spatio-temporal variations in HDP disparities from 2005 to 2014. County-level variation was firstly examined, followed by census tract-level variation assessment in counties where high HDP disparities were observed. A signi...
Source: Spatial and Spatio-temporal Epidemiology - April 7, 2019 Category: Epidemiology Source Type: research

Exploring socio-demographic-and geographical-variations in prevalence of diabetes and hypertension in Bangladesh: Bayesian spatial analysis of national health survey data
This study focused on examining the association of socio-demographic factors with both hypertension and diabetes and exploring the regional variations in their prevalence using nationally representative survey data on adult population of age over 35 years. Bayesian spatial analysis was performed for both hypertension and diabetes data separately by fitting a model, that accounts for spatial variations, using integrated nested laplace approximation. The area-specific prevalence was then estimated as weighted average of the corresponding individual level predicted probabilities of being diseased derived from the fitted model...
Source: Spatial and Spatio-temporal Epidemiology - April 6, 2019 Category: Epidemiology Source Type: research

Identifying determinants of obesity in Athens, Greece through global and local statistical models
Publication date: Available online 6 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Antigoni Faka, Christos Chalkias, Ekavi N. Georgousopoulou, Anestis Tripitsidis, Christos Pitsavos, Demosthenes B. PanagiotakosAbstractIndividual socioeconomic status is linked to obesity risk, though, less is known about the influence of an area's socio-environmental conditions on obesity/overweight prevalence. This association was investigated using obesity/overweight data collected from 2,445 individuals in Athens greater area, who were randomly enrolled in ATTICA study, during 2001 to 2002, and factors related to e...
Source: Spatial and Spatio-temporal Epidemiology - April 6, 2019 Category: Epidemiology Source Type: research

Is Active Travel a Breath of Fresh Air? Examining Children's Exposure to Air Pollution During the School Commute.
Publication date: Available online 6 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Jason Gilliland, Matthew Maltby, Xiaohong Xu, Isaac Luginaah, Janet Loebach, Tayyab ShahABSTRACTThe aim of this study was to assess how children's personal exposure to fine particulate matter (PM2.5) during the school commute is influenced by mode of travel and neighbourhood environment in a mid-sized Canadian city. A total of 101 commutes to and from school were tracked using a GPS, and personal exposure to PM2.5 along commute routes was assessed by spatially-referencing the monitored exposure levels with time-synchro...
Source: Spatial and Spatio-temporal Epidemiology - April 6, 2019 Category: Epidemiology Source Type: research

Spatial smoothing models to deal with the complex sampling design and nonresponse in the Florida BRFSS survey
Publication date: Available online 5 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): K. Watjou, C. Faes, R.S. Kirby, M. Aregay, R. Carroll, Y. VandendijckAbstractPublic health and governmental organizations have acknowledged the importance of obtaining information of various characteristics for small areas, such as counties. Spatial smoothing models have been developed to gain reliable information on the geographical distribution of the outcome of interest. When the geographical analysis is based on survey data, two issues pose challenges: (1) the complex design of the survey and (2) the presence of mi...
Source: Spatial and Spatio-temporal Epidemiology - April 6, 2019 Category: Epidemiology Source Type: research

Geography and patient history in long-term lipid lowering medication adherence for primary prevention of cardiovascular disease
Publication date: Available online 2 April 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Feiyu Hu, Jim Warren, Daniel J ExeterAbstractIn order to determine the role of geographical and patient history factors in long-term medication adherence in cardiovascular disease (CVD), we analysed adherence to lipid-lowering therapy in a primary care cohort based on CVD decision support and linked health systems and census data from Auckland, New Zealand. Two-year adherence was examined for 10,410 patients aged between 30∼74 with neither diabetes nor a history of CVD. Using logistic regression we found significan...
Source: Spatial and Spatio-temporal Epidemiology - April 2, 2019 Category: Epidemiology Source Type: research

A data-driven approach for estimating the change-points and impact of major events on disease risk
Publication date: Available online 10 February 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): R Carroll, AB Lawson, S ZhaoAbstractConsidering the impact of events on disease risk is important. Here, a Bayesian spatio-temporal accelerated failure time model furnished an ideal situation for modeling events that could impact survival experience via spatial and temporal frailty estimates. Through a hierarchical structure, this model allowed the data to detect the change-point(s) in addition to generating the event-related estimates. Both a real data case study and a simulation study were employed for testing th...
Source: Spatial and Spatio-temporal Epidemiology - February 10, 2019 Category: Epidemiology Source Type: research

Editorial Board
Publication date: February 2019Source: Spatial and Spatio-temporal Epidemiology, Volume 28Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - February 9, 2019 Category: Epidemiology Source Type: research

Small-Area Estimates of Stunting. Mexico 2010: Based on a Hierarchical Bayesian estimator
Publication date: Available online 8 February 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Héctor E. Nájera CatalánAbstractThe Sustainable Development Goal (SDG) 2.2 proposes ending stunting and wasting in children under five years of age by 2025. In Mexico, progress in the reduction of stunting has slowed in the 21st century. One of the challenges in tackling stunting is that it has become more concentrated in certain areas, but there are no data detailing its precise location. This paper produces the first small-area estimates of stunting for the Mexican municipalities by applying a...
Source: Spatial and Spatio-temporal Epidemiology - February 9, 2019 Category: Epidemiology Source Type: research

A Bayesian Piecewise Survival Cure Rate Model for Spatially Clustered Data
Publication date: Available online 7 February 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Sandra M. Hurtado Rúa, Dipak K. DeyAbstractThis paper proposes a Bayesian hierarchical cure rate survival model for spatially clustered time to event data. We consider a mixture cure rate model with covariates and a flexible (semi)parametric baseline survival distribution for uncured individuals. The spatial correlation structure is introduced in the form of frailties which follow a Multivariate Conditionally Autoregressive distribution on a pre-specified map. We obtain the usual posterior estimates, smoothed...
Source: Spatial and Spatio-temporal Epidemiology - February 8, 2019 Category: Epidemiology Source Type: research

Modelling spatio-temporal data of dengue fever using generalized additive mixed models
This study brings together a large dataset from different sources including Ministry of Health from Venezuela. It was also benefited from a remote satellite climatic data provided by the National Aeronautics and Space Administration (NASA). (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - December 21, 2018 Category: Epidemiology Source Type: research

Where did I get dengue? Detecting spatial clusters of infection risk with social network data
Publication date: Available online 1 December 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Roberto C.S.N.P. Souza, Renato M. Assunção, Derick M. Oliveira, Daniel B. Neill, Wagner MeiraAbstractTypical spatial disease surveillance systems associate a single address to each disease case reported, usually the residence address. Social network data offers a unique opportunity to obtain information on the spatial movements of individuals as well as their disease status as cases or controls. This provides information to identify visit locations with high risk of infection, even in regions where no ...
Source: Spatial and Spatio-temporal Epidemiology - December 2, 2018 Category: Epidemiology Source Type: research

Mapping rates of inpatient hospitalizations related to mental disorders in the state of Missouri: a conditional autoregressive model with zip code-level data
Publication date: Available online 24 November 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Daphne Lew, Steven E. RigdonAbstractNearly one in five American adults suffers from mental illness in a given year. Mental health conditions are known to be spatially clustered, but no prior work has examined the clustering of mental health related hospitalizations. This analysis uses Bayesian hierarchical models to predict rates of inpatient hospitalizations attributed to mental disorders within zip codes in Missouri, USA. Eight separate models were run, and all models yielded similar estimates for the average rat...
Source: Spatial and Spatio-temporal Epidemiology - November 24, 2018 Category: Epidemiology Source Type: research

Geographic distribution of Staphylococcus spp. infections and antimicrobial resistance among dogs from Gauteng Province presented at a veterinary teaching hospital in South Africa
The objective of this study was to investigate spatial patterns of staphylococcal infections and resistance patterns of clinical isolates from dogs from Gauteng province in South Africa. Data from records of 1,497 dog clinical samples submitted to a veterinary teaching hospital between 2007 and 2012 were used in the study. Spatial empirical Bayesian smoothed risk maps were used to investigate spatial patterns of staphylococcal infections, antimicrobial resistance (AMR), and multidrug resistance (MDR). Moran's I and spatial scan statistics were used to investigate spatial clusters at municipal and town spatial scales. Signi...
Source: Spatial and Spatio-temporal Epidemiology - November 23, 2018 Category: Epidemiology Source Type: research

Fast-food outlet availability and obesity: considering variation by age and methodological diversity in 22,889 Yorkshire Health Study participants
This study investigated if the relationship between residential fast-food outlet availability and obesity varied due to methodological diversity or by age. Cross-sectional data (n=22,889) from the Yorkshire Health Study, England were used. Obesity was defined using self-reported height and weight (BMI≥30). Food outlets (“fast-food”, “large supermarkets”, and “convenience or other food retail outlets”) were mapped using Ordnance Survey Points of Interest (PoI) database. Logistic regression was used for all analyses. Methodological diversity included adjustment for other food outlets as...
Source: Spatial and Spatio-temporal Epidemiology - November 16, 2018 Category: Epidemiology Source Type: research

Spatiotemporal analysis of prolonged and recurrent bovine tuberculosis breakdowns in Northern Irish cattle herds reveals a new infection hotspot
Publication date: Available online 14 November 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): G.M. Milne, J. Graham, A. Allen, A. Lahuerta-Marin, C. McCormick, E. Presho, R. Skuce, A.W. ByrneAbstractDespite a state-led eradication programme, bovine tuberculosis (bTB) remains endemic in Northern Ireland (NI). Of particular concern are “chronic” prolonged and recurrent bTB breakdowns, which represent significant financial and administrative burdens. However, little is known regarding the spatiotemporal distribution of chronic breakdowns in NI. We therefore analysed both the spatial and spatiotempo...
Source: Spatial and Spatio-temporal Epidemiology - November 15, 2018 Category: Epidemiology Source Type: research

Editorial Board
Publication date: November 2018Source: Spatial and Spatio-temporal Epidemiology, Volume 27Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - November 6, 2018 Category: Epidemiology Source Type: research

Editorial Board
Publication date: August 2018Source: Spatial and Spatio-temporal Epidemiology, Volume 26Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - November 2, 2018 Category: Epidemiology Source Type: research

A Spatial Analysis of Giardiasis and Cryptosporidiosis in Relation to Public Water Supply Distribution in North West England
Publication date: Available online 13 October 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): N.F. Reeve, P.J. Diggle, K. Lamden, T. KeeganAbstractGiardia and Cryptosporidium are both waterborne parasites and leading causes of gastroenteritis. Although specimens from diarrhoeic patients are routinely examined for Cryptosporidium, they are often not examined for Giardia so many cases go undiagnosed. Since 2002, all faecal specimens in Central Lancashire have been tested for infection with Giardia and Cryptosporidium. The aim of this paper is to gain insight into the factors contributing to giardiasis and cryp...
Source: Spatial and Spatio-temporal Epidemiology - October 14, 2018 Category: Epidemiology Source Type: research

Spatial Analysis of the Relative Risk of Suicide for Virginia Counties Incorporating Uncertainty of Variable Estimates
ConclusionsAccounting for uncertainty in parameter estimates achieved better model fit. Efficient allocation of resources for suicide prevention can be attained by targeting clusters of counties with elevated risk. (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - October 14, 2018 Category: Epidemiology Source Type: research

Integration of animal health and public health surveillance sources to exhaustively inform the risk of zoonosis: An application to visceral leishmaniasis data in Brazil
Publication date: Available online 23 September 2018Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): R Boaz III, A Corberán-Vallet, A Lawson, FE de Ferreira Lima Junior, L Edel Donato, R Vieira Alves, G Machado, Freire de Carvalho M, Julio Pompei, VJ Del Rio VilasAbstractVisceral leishmaniasis (VL) is a parasitic disease that is endemic in more than 80 countries, and leads to high fatality rates when left untreated. We investigate the relationship of VL cases in dogs and human cases, specifically for evidence of VL in dogs leading to excess cases in humans. We use surveillance data for dogs and humans for ...
Source: Spatial and Spatio-temporal Epidemiology - October 5, 2018 Category: Epidemiology Source Type: research