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A multivariate generalized logistic approach with spatially varying nonlinear components for modeling epidemic data
Modeling epidemic counts is an important component of epidemiological studies. Several events can define these counts: exp...
A Bayesian spatial measurement error approach to incorporate heterogeneous population-at-risk uncertainty in estimating small-area opioid mortality rates
The standard small-area disease mapping methods used to assess spatial distributions of disease and/or mortality risks do ...
Physician and healthcare partner engagement in the creation of healthfulness indices for West Michigan
Health equity in the built environment is becoming of increasing interest to public health agencies and healthcare systems...
Integrating data at multiple spatial scales to estimate the local burden of the opioid syndemic
The opioid epidemic has been particularly severe in Ohio, prompting significant efforts to understand its spatial patterns...
Disease mapping with individual level information; a case study of acute myocardial infarction mortality
When mapping relative mortality risk under specific causes of death in time, one can use small areas and single year morta...
Evaluation of spatial and non-spatial factors on tuberculosis using geospatial information system and fuzzy logic
Tuberculosis is a chronic infectious disease with various manifestations and gradual course, and it is still the main heal...
Impact of deforestation and climate on spatio-temporal spread of dengue fever in Mexico
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An ecological study mapping socioeconomic inequalities in tuberculosis incidence in a southern state of Brazil
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Similarity- and neighbourhood-based dynamic models for infection data: Uncovering the complexities of the COVID-19 infection risks
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Unveiling spatio-temporal mysteries: A quest to decode India's Dengue and Malaria trend (2003-2022)
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Mapping gentrification, segregation, rental cost burden and sexually transmitted infections in Atlanta, Georgia, 2005–2018
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Identifying points of interest (POIs) as sentinels for infectious disease surveillance: A COVID-19 study
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Spatial pattern of congenital toxoplasmosis incidence and its relationship with vulnerability and national health indicators in Brazil
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Spatio-temporal modeling to identify factors associated with stunting in Indonesia using a Modified Generalized Lasso
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Multivariate skew-normal distribution for modelling skewed spatial data
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Road traffic deaths caused by at-fault drivers and drinking-driving in China: A spatiotemporal analysis of the 2017–2020 period
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Spatial pattern of all cause excess mortality in Swiss districts during the pandemic years 1890, 1918 and 2020
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Multiple “spaces”: Using wildlife surveillance, climatic variables, and spatial statistics to identify and map a climatic niche for endemic plague in California, U.S.A.
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Investigating interaction effects of social risk factors and exposure to air pollution on pediatric lymphoma cancer in Georgia, United States
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A two–stage bayesian model for assessing the geography of racialized economic segregation and premature mortality across US counties
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Spatiotemporal Bayesian modeling of the risk of congenital syphilis in São Paulo, SP, Brazil
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Analyzing the geographic influence of financial inclusion on illicit drug use in Nigeria
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Mapping high probability area for the Bacillus anthracis occurrence in wildlife protected area, South Omo, Ethiopia
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Model-based disease mapping using primary care registry data
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Geographic accessibility to physiotherapy care in Aotearoa New Zealand
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Assessing and attenuating the impact of selection bias on spatial cluster detection studies
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Bayesian hierarchical spatiotemporal models for prediction of (under)reporting rates and cases: COVID-19 infection among the older people in the United States during the 2020–2022 pandemic
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Geospatial patterns of excess mortality in Belgium: Insights from the first year of the COVID-19 pandemic
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Improving the spatial and temporal resolution of burden of disease measures with Bayesian models
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Bayesian group testing regression models for spatial data
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