| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Anaemia prevalence and socio-demographic factors among women of reproductive age (WRA): A geospatial analysis of empowered action group (EAG) states in India
|
Barman, Manabindra
|
|
|
49 |
C |
p.
|
article
|
| 2 |
Analyzing the geographic influence of financial inclusion on illicit drug use in Nigeria
|
Adeleke, Richard
|
|
|
49 |
C |
p.
|
article
|
| 3 |
Assessing and attenuating the impact of selection bias on spatial cluster detection studies
|
Boyle, Joseph
|
|
|
49 |
C |
p.
|
article
|
| 4 |
A two–stage bayesian model for assessing the geography of racialized economic segregation and premature mortality across US counties
|
Xu, Yang
|
|
|
49 |
C |
p.
|
article
|
| 5 |
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
|
Lei, Jingxin
|
|
|
49 |
C |
p.
|
article
|
| 6 |
Editorial Board
|
|
|
|
49 |
C |
p.
|
article
|
| 7 |
Geographic accessibility to physiotherapy care in Aotearoa New Zealand
|
Buhler, Miranda
|
|
|
49 |
C |
p.
|
article
|
| 8 |
Geospatial patterns of excess mortality in Belgium: Insights from the first year of the COVID-19 pandemic
|
Natalia, Yessika Adelwin
|
|
|
49 |
C |
p.
|
article
|
| 9 |
Improving the spatial and temporal resolution of burden of disease measures with Bayesian models
|
Hogg, James
|
|
|
49 |
C |
p.
|
article
|
| 10 |
JAGS model specification for spatiotemporal epidemiological modelling
|
Lope, Dinah Jane
|
|
|
49 |
C |
p.
|
article
|
| 11 |
Mapping high probability area for the Bacillus anthracis occurrence in wildlife protected area, South Omo, Ethiopia
|
Joka, Fekede Regassa
|
|
|
49 |
C |
p.
|
article
|
| 12 |
Model-based disease mapping using primary care registry data
|
Janssens, Arne
|
|
|
49 |
C |
p.
|
article
|
| 13 |
Modelling the spatial risk pattern of dementia in Denmark using residential location data: A registry-based national cohort
|
Amegbor, Prince M.
|
|
|
49 |
C |
p.
|
article
|
| 14 |
Predicting the odds of chronic wasting disease with Habitat Risk software
|
Walter, W. David
|
|
|
49 |
C |
p.
|
article
|
| 15 |
Prediction of the size and spatial distribution of free-roaming dog populations in urban areas of Nepal
|
Tavlian, Sarah
|
|
|
49 |
C |
p.
|
article
|
| 16 |
Residuals in space: Potential pitfalls and applications from single-institution survival analysis
|
Arabadjis, Sophia D.
|
|
|
49 |
C |
p.
|
article
|
| 17 |
Restricted spatial models for the analysis of geographic and racial disparities in the incidence of low birthweight in Pennsylvania
|
Song, Guangzi
|
|
|
49 |
C |
p.
|
article
|
| 18 |
Spatiotemporal Bayesian modeling of the risk of congenital syphilis in São Paulo, SP, Brazil
|
Cruz, Renato Ferreira da
|
|
|
49 |
C |
p.
|
article
|
| 19 |
The complex link between socioeconomic deprivation and COVID-19. Evidence from small areas of Catalonia
|
López-Bazo, Enrique
|
|
|
49 |
C |
p.
|
article
|
Journal description