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Spatial and Spatio-Temporal Epidemiology|February 14, 2024
Examining associations between social vulnerability indices and COVID-19 incidence and mortality with spatial-temporal Bayesian modelingDaniel P Johnson, Claudio OwusuSpatial and Spatio-Temporal Epidemiology|February 14, 2024
Predicting COVID-19 hospitalizations: The importance of healthcare hotlines, test positivity rates and vaccination coverageVera van Zoest, Karl Lindberg, Georgios Varotsis, et al.Spatial and Spatio-Temporal Epidemiology|February 14, 2024
Significance of weather condition, human mobility, and vaccination on global COVID-19 transmissionAmandha Affa Auliya, Inna Syafarina, Arnida L Latifah, et al.Spatial and Spatio-Temporal Epidemiology|June 12, 2026
Spatial disparities in access to Hepatitis C treatment providers in Los Angeles County: An enhanced two-step floating catchment area analysisJacob Mugoya Gizamba, Darren Ruddell, Jeffrey D KlausnerSpatial and Spatio-Temporal Epidemiology|June 12, 2026
County-level temporal changes and correlates of six categories of alcohol-attributable mortality before and during the early phases of the COVID-19 pandemicNatalie Sumetsky, Jeanine Buchanich, Brooke Molina, et al.Spatial and Spatio-Temporal Epidemiology|June 12, 2026
A spatial scan statistic for group testing dataVincent Onyame, Alexander C McLain, Rahul Ghosal, et al.Spatial and Spatio-Temporal Epidemiology|June 12, 2026
Climatic and social health determinants of malaria incidence in Tete, Mozambique: Bayesian spatio-temporal modeling of routine data (2016-2022)Abrantes João Afonso Mussafo, Renato Ferreira da Cruz, Liciana Vaz de Arruda Silveira, et al.Spatial and Spatio-Temporal Epidemiology|June 12, 2026
Exploratory topological data analysis for spatio-temporal knowledge discovery in epidemiologyCheng Jie Ooi, Nur Fariha Syaqina Zulkepli, R U Gobithaasan, et al.Spatial and Spatio-Temporal Epidemiology|June 9, 2025
Disease mapping with individual level information; a case study of acute myocardial infarction mortalityXavier Puig, Josep GinebraSpatial and Spatio-Temporal Epidemiology|May 27, 2019
Integration of animal health and public health surveillance sources to exhaustively inform the risk of zoonosis: An application to visceral leishmaniasis data in BrazilR Boaz, A Corberán-Vallet, A Lawson, et al.Pageof 60