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Spatial and Spatio-Temporal Epidemiology|December 2, 2023
Temporal and spatial analysis of COVID-19 incidence hotspots in Pakistan: A spatio-statistical approachNayab Arif, Shakeel Mahmood
Spatial and Spatio-Temporal Epidemiology|July 27, 2023
A spatial analysis of co-circulating dengue and chikungunya virus infections during an epidemic in a region of Northeastern BrazilMarcela Franklin Salvador de Mendonça, Amanda Priscila de Santana Cabral Silva, Heloísa Ramos Lacerda
Spatial and Spatio-Temporal Epidemiology|July 27, 2023
Longitudinal disparities in social determinants of health and COVID-19 incidence and mortality in the United States from the three largest waves of the pandemicS M Asger Ali, Kathleen Sherman-Morris, Qingmin Meng, et al.
Spatial and Spatio-Temporal Epidemiology|July 27, 2023
The contribution of physical exertion to heat-related illness and death in the Arizona borderlandsSamuel N Chambers, Geoffrey A Boyce, Daniel E Martínez, et al.
Spatial and Spatio-Temporal Epidemiology|July 27, 2023
Copula based trivariate spatial modeling of childhood illnesses in Western African countriesEzra Gayawan, Osafu Augustine Egbon, Oyelola Adegboye
Spatial and Spatio-Temporal Epidemiology|July 27, 2023
Spatial investigation of the links between aflatoxins legislation, climate, and liver cancer at the global scaleGrace Tueller, Ruth Kerry, Sean G Young
Spatial and Spatio-Temporal Epidemiology|February 12, 2019
Modelling spatio-temporal data of dengue fever using generalized additive mixed modelsM Cabrera, G Taylor
Spatial and Spatio-Temporal Epidemiology|February 12, 2019
Mapping rates of inpatient hospitalizations related to mental disorders in the state of Missouri: A conditional autoregressive model with zip code-level dataDaphne Lew, Steven E Rigdon
Spatial and Spatio-Temporal Epidemiology|November 3, 2020
Spatiotemporal modeling of dengue fever risk in Puerto RicoGavino Puggioni, Jannelle Couret, Emily Serman, et al.
Spatial and Spatio-Temporal Epidemiology|November 3, 2020
Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium?Thomas Neyens, Christel Faes, Maren Vranckx, et al.
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