High incidence of brain and other nervous system cancer identified in two mining counties, 2001-2015: insufficient evidence to support association with heavy metal exposure
Publication date: Available online 6 September 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Laura Williamson, Dawn Nelson, Heather Zimmerman, Margaret Cook-Shimanek, Todd Harwell, Gregory Holzman (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - September 24, 2020 Category: Epidemiology Source Type: research

Letter
Publication date: Available online 6 September 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Laura Williamson, Dawn Nelson, Heather Zimmerman, Maggie Cook-Shimanek, Todd Harwell, Greg Holzman (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - September 7, 2020 Category: Epidemiology Source Type: research

Use of a Spatiotemporal Approach for Understanding Preschoolers’ Playground Activity
Publication date: Available online 1 September 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Kimberly A. CLEVENGER, Sue C. GRADY, Karl ERICKSON, Karin A. PFEIFFE (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - September 3, 2020 Category: Epidemiology Source Type: research

Spatial Analysis of Service Areas for Stroke Centers in a City with High Traffic Congestion
Publication date: Available online 1 September 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Ivan Pradilla, Jaiver Enrique Macea-Ortiz, Paola Pastora Polo-Pantoja, Maria Alejandra Palacios-Ariza, Andrés Felipe Díaz-Forero, Alejandro Velásquez-Torresc Alberto Vélez-van-Meerbeke (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - September 3, 2020 Category: Epidemiology Source Type: research

Large-scale multivariate forecasting models for Dengue - LSTM versus Random Forest regression
Publication date: Available online 28 August 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Elisa Mussumeci, Flávio Codeço Coelho (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - August 29, 2020 Category: Epidemiology Source Type: research

Spatiotemporal Modeling of Dengue Fever Risk in Puerto Rico
Publication date: Available online 27 August 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Gavino Puggioni, Jannelle Couret, Emily Serman, Ali S. Akanda, Howard S. Ginsberg (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - August 27, 2020 Category: Epidemiology Source Type: research

Letter to the editor: Covid-19 And Vit-D: Disease Mortality Negatively Correlates With Sunlight Exposure
Publication date: Available online 24 August 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Florian Naudet, Clara Locher, Alain Braillon, André Gillibert (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - August 25, 2020 Category: Epidemiology Source Type: research

Editorial Board
Publication date: August 2020Source: Spatial and Spatio-temporal Epidemiology, Volume 34Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - August 15, 2020 Category: Epidemiology Source Type: research

Spatio-temporal clustering of Baylisascaris procyonis, a zoonotic parasite, in raccoons across different landscapes in southern Ontario
Publication date: Available online 5 August 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Shannon K. French, David L. Pearl, Andrew S. Peregrine, Claire M. Jardine (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - August 13, 2020 Category: Epidemiology Source Type: research

Developing a Geospatial Measure of Change in Core Temperature for Migrating Persons in the Mexico-U.S. Border Region
Publication date: Available online 24 July 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Samuel N. Chambers, Ben McMahan, Coen C.W.G. Bongers (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 25, 2020 Category: Epidemiology Source Type: research

Using residential histories in case-control analysis of lung cancer and mountaintop removal coal mining in Central Appalachia
Publication date: Available online 24 July 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): WJ Christian, CJ Walker, B Huang, JE Levy, E Durbin, S Arnold (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 25, 2020 Category: Epidemiology Source Type: research

Comparing different spatio-temporal modeling methods in dengue fever data analysis in Colombia during 2012–2015
Publication date: August 2020Source: Spatial and Spatio-temporal Epidemiology, Volume 34Author(s): Jun Ye, Max J. Moreno-Madriñán (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 25, 2020 Category: Epidemiology Source Type: research

Covid-19 And Vit-D: Disease Mortality Negatively Correlates With Sunlight Exposure
Publication date: Available online 23 July 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Édouard Lansiaux, Philippe P. Pébaÿ, Jean-Laurent Picard, Joachim Son-Forget (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 24, 2020 Category: Epidemiology Source Type: research

The Unknown Denominator Problem in Population Studies of Disease Frequency
Publication date: Available online 18 July 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Christopher N. Morrison, Andrew G. Rundle, Charles C. Branas, Stanford Chihuri, Christina Mehranbod, Guohua Li (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 18, 2020 Category: Epidemiology Source Type: research

Comparing different spatio-temporal modelling methods in dengue fever data analysis in Colombia during 2012-2015
Publication date: Available online 16 July 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Jun Ye, Max J. Moreno-Madriñán (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 17, 2020 Category: Epidemiology Source Type: research

Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence
Publication date: Available online 4 July 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Tim C.D. Lucas, Anita K. Nandi, Suzanne H. Keddie, Elisabeth G. Chestnutt, Rosalind E. Howes, Susan F. Rumisha, Rohan Arambepola, Amelia Bertozzi-Villa, Andre Python, Tasmin L. Symons, Justin J. Millar, Punam Amratia, Penelope Hancock, Katherine E. Battle, Ewan Cameron, Peter W. Gething, Daniel J. Weiss (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 6, 2020 Category: Epidemiology Source Type: research

Income inequality and suicide in the United States: A spatial analysis of 1684 U.S. counties using geographically weighted regression
Publication date: Available online 3 July 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Felix Tran, Christopher Morrison (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - July 5, 2020 Category: Epidemiology Source Type: research

Daily Surveillance of COVID-19 using the Prospective Space-Time Scan Statistic in the United States
Publication date: Available online 27 June 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Alexander Hohl, Eric Delmelle, Michael Desjardins, Yu Lan (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - June 28, 2020 Category: Epidemiology Source Type: research

Spatial Analysis of COVID-19 Clusters and Contextual Factors in New York City
Publication date: Available online 21 June 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Jack Cordes, Marcia C. Castro (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - June 23, 2020 Category: Epidemiology Source Type: research

Exploring Spatio-temporal Patterns in Mental Health Related Emergency Department Use from Children and Adolescents
Publication date: Available online 20 June 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Michelle Thiessen, Qi Cui, X. Joan Hu, Rhonda J. Rosychuk (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - June 22, 2020 Category: Epidemiology Source Type: research

Assessment of Spatial Mobility Among Young Men who have Sex with Men within and across High HIV Prevalence Neighborhoods in New York City: The P18 Neighborhood Study
Publication date: Available online 21 June 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Dustin T. Duncan, Seann D. Regan, Su Hyun Park, William C. Goedel, Byoungjun Kim, Staci C. Barton, Perry N. Halkitis, Basile Chaix (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - June 22, 2020 Category: Epidemiology Source Type: research

A Spatial Hierarchical Model for Integrating and Bias-Correcting Data from Passive and Active Disease Surveillance Systems
Publication date: Available online 10 June 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Xintong Li, Howard H. Chang, Qu Cheng, Philip A. Collender, Ting Li, Jinge He, Lance A. Waller, Benjamin A. Lopman, Justin V. Remais (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - June 11, 2020 Category: Epidemiology Source Type: research

Using geospatial methods to measure the risk of environmental persistence of avian influenza virus in South Carolina
Publication date: Available online 19 May 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): C. Stenkamp-Strahm, K. Patyk, M.J. McCool-Eye, A. Fox, J. Humphreys, A. James, D. South, S. Magzamen (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - May 21, 2020 Category: Epidemiology Source Type: research

A tutorial on spatio-temporal disease risk modelling in R using Markov chain Monte Carlo simulation and the CARBayesST package
Publication date: Available online 16 May 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Duncan Lee (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - May 18, 2020 Category: Epidemiology Source Type: research

Editorial Board
Publication date: June 2020Source: Spatial and Spatio-temporal Epidemiology, Volume 33Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - May 2, 2020 Category: Epidemiology Source Type: research

Spatio-temporal analysis of the risk of depression at district-level and association with greenness based on the Heinz Nixdorf Recall Study
Publication date: Available online 20 March 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): D. Djeudeu, M. Engel, K.-H. Jöckel, S. Moebus, K. Ickstadt (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - March 20, 2020 Category: Epidemiology Source Type: research

A Spatial Partial Differential Equation Approach to Addressing Unit Misalignments in Bayesian Poisson Space-Time Models
Publication date: Available online 6 March 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Natalie Sumetsky, Christina Mair, Stewart Anderson, Paul J. Gruenewald (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - March 6, 2020 Category: Epidemiology Source Type: research

Developing a surveillance system of sub-county data: Finding suitable population thresholds for geographic aggregations
Publication date: Available online 6 March 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Angela K Werner, Heather Strosnider (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - March 6, 2020 Category: Epidemiology Source Type: research

Automated Delineation of Cancer Service Areas in Northeast Region of the United States: A Network Optimization Approach
Publication date: Available online 6 March 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Fahui Wang, Changzhen Wang, Yujie Hu, Julie Weiss, Jennifer Alford-Teaster, Tracy Onega (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - March 6, 2020 Category: Epidemiology Source Type: research

Severe-malaria infection and its outcomes among pregnant women in Burkina Faso health-districts: Hierarchical Bayesian space-time models applied to routinely-collected data from 2013 to 2018
This study used hierarchical-Bayesian Spatio-temporal modeling to explore space-time patterns and pinpoint health-districts with an exceedance probability of severe MiP incidence and fatality rate. Study also assessed effect of health-district service delivery (readiness) on severe-MiP outcomes.Severe-MiP fatality rate declined considerably while its incidence rate remained unchanged between January-2013 and December-2018. Severe-MiP cases persisted throughout the year with peaks between. These peaks increased 2.5-fold the fatality rate. Furthermore, severe-MiP fatality was higher in health-districts classified as low-read...
Source: Spatial and Spatio-temporal Epidemiology - February 15, 2020 Category: Epidemiology Source Type: research

Landscape and demographic determinants of Culex infection with West Nile virus during the 2012 epidemic in Dallas County, TX
In this study, logistic mixed models were used to identify associations between the landscape, human population, and WNV-infected Culex quinquefasciatus mosquitoes during the 2012 WNV epidemic in Dallas Co. We found increased probabilities for WNV-positive mosquitoes in north and central Dallas Co. The most significant predictors of the presence of WNV in Cx. quinquefasciatus pools were increased urbanization (based on an index composed of greater population density, lower normalized difference vegetation index, higher coverage of urban land types, and more impervious surfaces), older human populations, and lower elevation...
Source: Spatial and Spatio-temporal Epidemiology - February 14, 2020 Category: Epidemiology Source Type: research

Geographical Accessibility of Community Social Services and Incidence of Self-harm
Publication date: Available online 11 February 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Ming Leung, Chun Bong Chow, Pak-Keung Patrick Ip, Siu-Fai, Paul YipAbstractObjectiveThe study aimed to explore the association between area-based coverage of community services and the incidence of self-harm, which will provide an evaluation framework for the support of self-harm.MethodsEnhanced two-Step floating catchment area method was used to estimate the centersto- population ratio and geographical accessibility adjusted by a distance-decay function. Spearman's rank coefficient was used to examine the associat...
Source: Spatial and Spatio-temporal Epidemiology - February 13, 2020 Category: Epidemiology Source Type: research

Assessing the spatial heterogeneity in black-white differences in optimal cardiovascular health and the impact of individual- and neighborhood-level risk factors: The Multi-Ethnic Study of Atherosclerosis (MESA)
Publication date: Available online 7 February 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Loni Philip Tabb, Leslie A. McClurea, Angel Ortiz, Steven Mellyb, Miranda R. Jonesc, Kiarri N. Kershawd, Ana V.Diez RouxaAbstractRacial disparities in cardiovascular health (CVH) continue to remain a public health concern in the United States. We use unique population-based data from the Multi-Ethnic Study of Atherosclerosis cohort to explore the black-white differences in optimal CVH. Utilizing geographically weighted regression methods, we assess the spatial heterogeneity in black-white differences in optimal CVH ...
Source: Spatial and Spatio-temporal Epidemiology - February 8, 2020 Category: Epidemiology Source Type: research

Climate variability and dengue fever in Makassar, Indonesia: Bayesian spatio-temporal modelling
In this study, we applied two Bayesian spatio-temporal conditional autoregressive (ST CAR) models, one of which allows discontinuities in risk between neighbouring areas (creating ‘groups’), to examine dengue fever patterns. Data on annual (2002-2017) and monthly (January 2013 - December 2017) dengue cases and climatic factors over 14 geographic areas were obtained for Makassar, Indonesia. Combinations of covariates and model formulations were compared considering credible intervals, overall goodness of fit, and the grouping structure. For annual data, an ST CAR localised model incorporating average humidity pr...
Source: Spatial and Spatio-temporal Epidemiology - February 8, 2020 Category: Epidemiology Source Type: research

Editorial Board
Publication date: February 2020Source: Spatial and Spatio-temporal Epidemiology, Volume 32Author(s): (Source: Spatial and Spatio-temporal Epidemiology)
Source: Spatial and Spatio-temporal Epidemiology - January 30, 2020 Category: Epidemiology Source Type: research

NIMBLE for Bayesian Disease Mapping
Publication date: Available online 27 January 2020Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Andrew B LawsonAbstractThis tutorial describes the basic implementation of Bayesian hierarchical models for spatial health data using the R package nimble. To quote the nimble R description:A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, particle filtering, Monte Carlo Expectation Maximi...
Source: Spatial and Spatio-temporal Epidemiology - January 29, 2020 Category: Epidemiology Source Type: research

High incidence of brain and other nervous system cancer identified in two mining counties, 2001–2015
Publication date: Available online 21 December 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Yanan Zhang, Suzanne McDermott, Bryn Davis, James HusseyAbstractTwo counties in Montana, Deer Lodge and Silver Bow (DL/SB), have two Superfund sites, as well as an active copper and molybdenum mine in SB. The population living in proximity to these sites are exposed to additional metals and some have been shown to be neurotoxic, especially for children; thus, this study focused on the incidence of brain and other nervous system cancers. The Montana Central Tumor Registry data was used to identify the cases in DL/SB...
Source: Spatial and Spatio-temporal Epidemiology - January 8, 2020 Category: Epidemiology Source Type: research

Using global positioning system technology and Google My Maps in follow-up studies—An experience from influenza surveillance study, Chennai, India
Publication date: Available online 18 December 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Vinoth Mohan, Sasi Kumar M, C.P. Girish Kumar, Jayaraman Yuvaraj, Anand Krishnan, Ritvik Amarchand, Rajkumar PrabuAbstractA multi-centric influenza surveillance conducted among 1500 elderly participants in Chennai, India, required weekly visits to the participants regularly for three years. Difficulties were faced in locating and navigating to households of the participants due to vast study area, adverse weather conditions and staff attrition, which affected data quality. To overcome these difficulties, we devised...
Source: Spatial and Spatio-temporal Epidemiology - December 28, 2019 Category: Epidemiology Source Type: research

High incidence of brain and other nervous system cancer identified in two mining counties, 2001-2015
Publication date: Available online 21 December 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Yanan Zhang, Suzanne McDermott, Bryn Davis, James HusseyAbstractTwo counties in Montana, Deer Lodge and Silver Bow (DL/SB), have two Superfund sites, as well as an active copper and molybdenum mine in SB. The population living in proximity to these sites are exposed to additional metals and some have been shown to be neurotoxic, especially for children; thus, this study focused on the incidence of brain and other nervous system cancers. The Montana Central Tumor Registry data was used to identify the cases in DL/SB...
Source: Spatial and Spatio-temporal Epidemiology - December 21, 2019 Category: Epidemiology Source Type: research

Using global positioning system technology and Google My Maps in follow-up studies – An experience from influenza surveillance study, Chennai, India
Publication date: Available online 18 December 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Vinoth Mohan, Sasi Kumar M, C.P.Girish Kumar, Jayaraman Yuvaraj, Anand Krishnan, Ritvik Amarchand, Rajkumar PrabuAbstractA multi-centric influenza surveillance conducted among 1500 elderly participants in Chennai, India, required weekly visits to the participants regularly for three years. Difficulties were faced in locating and navigating to households of the participants due to vast study area, adverse weather conditions and staff attrition, which affected data quality. To overcome these difficulties, we devised ...
Source: Spatial and Spatio-temporal Epidemiology - December 19, 2019 Category: Epidemiology Source Type: research

Impact of geo-imputation on epidemiologic associations in a study of outdoor air pollution and respiratory hospitalization: Geographic imputation and environmental exposure assessment
Publication date: Available online 13 December 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Rena R. Jones, Francis P. Boscoe, Danielle N. Medgyesi, Edward F. Fitzgerald, Syni-An Hwang, Shao LinAbstractImputation of missing spatial attributes in health records may facilitate linkages to geo-referenced environmental exposures, but few studies have assessed impacts on epidemiologic inference. We imputed patient Census tracts in a case-crossover analysis of fine particulate matter (PM2.5) and respiratory hospitalizations in New York State (2000-2005). We observed non-significantly higher PM2.5 exposures, high...
Source: Spatial and Spatio-temporal Epidemiology - December 13, 2019 Category: Epidemiology Source Type: research

Discrete versus continuous domain models for disease mapping
Publication date: Available online 11 December 2019Source: Spatial and Spatio-temporal EpidemiologyAuthor(s): Garyfallos Konstantinoudis, Dominic Schuhmacher, Håvard Rue, Ben SpycherAbstractThe main goal of disease mapping is to estimate disease risk and identify high-risk areas. Such analyses are hampered by the limited geographical resolution of the available data. Typically the available data are counts per spatial unit and the common approach is the Besag–York–Mollié (BYM) model. When precise geocodes are available, it is more natural to use Log-Gaussian Cox processes (LGCPs). In a simulation s...
Source: Spatial and Spatio-temporal Epidemiology - December 11, 2019 Category: Epidemiology Source Type: research

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