Results 11 to 20 of about 618 (156)

Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models [PDF]

GeoHealth
Most of the United States (US) population resides in cities, where they are subjected to the urban heat island effect. In this study, we develop a method to estimate hourly air temperatures at 0.01°×0.01° resolution, improving exposure assessment of US ...
Eva Marquès, Kyle P. Messier
doaj   +3 more sources

The estimated incidence of uterine corpus cancers among permanent residents in mainland China using Bayesian spatial modeling [PDF]

Scientific Reports
Cancer registration in mainland China traditionally focuses on household-registered residents (HRR) and does not include the migrant population among permanent residents (PR), leading to significant selection bias.
Shuxiu Hao, Liyuan Guo, Sihong Guo, Chen Feng, Huixin Sun, Linlin Du, Guijin Li, Cheng Wang, Yu Zhang, Cunqi Lv, Qingyu Zeng, Jiacheng Li, Xinshu Wang, Tong Wang, Liping Tang, Qi Li   +15 more
doaj   +2 more sources

Syndemic mapping of HIV and other STIs in KwaZulu-Natal: a Bayesian spatio-temporal modeling approach using latent constructs [PDF]

Frontiers in Public Health
Syndemics involving Human immunodeficiency virus (HIV) and other sexually transmitted infections (STIs) remain a major public health challenge in sub-Saharan Africa, and understanding their spatial and temporal dynamics is critical for effective ...
Exaverio Chireshe, Retius Chifurira, Jesca Mercy Batidzirai, Knowledge Chinhamu, Ayesha B. M. Kharsany, Ayesha B. M. Kharsany   +5 more
doaj   +2 more sources

Bayesian spatial prediction of soil organic carbon stocks in eastern DRC using INLA-SPDE and environmental covariates

Environmental Challenges
Soil organic carbon (SOC) plays a critical role in climate mitigation and agricultural sustainability, yet its spatial distribution in the eastern Democratic Republic of the Congo (DRC) remains poorly quantified.
Alain Matazi Kangela, Bitaisha Nakishuka Shukuru, Serge Mugisho Mukotanyi, Gerard Imani, Yannick Mugumaarhama, Daniel Muhindo Iragi, Dieudonné Shamamba Bahati, Janvier Bigabwa Bashagaluke, Wivine Munyahali   +8 more
doaj   +2 more sources

An age-structured spatially varying coefficient model for high-resolution mapping of vaccination coverage. [PDF]

PLoS Computational Biology
High-resolution maps of vaccination coverage are valuable for uncovering heterogeneities in coverage to inform vaccine delivery strategies. Coverage maps stratified by age can reveal additional heterogeneities in the timeliness of vaccination and ...
C Edson Utazi, Somnath Chaudhuri, Oghenebrume Wariri, Iyanuloluwa D Olowe, Mohamed Megheib, Andrew J Tatem   +5 more
doaj   +2 more sources

Bayesian spatio-temporal analysis of malaria prevalence in children between 2 and 10 years of age in Gabon [PDF]

Malaria Journal
Background Gabon still bears significant malaria burden despite numerous efforts. To reduce this burden, policy-makers need strategies to design effective interventions.
Fabrice Mougeni, Bertrand Lell, Ngianga-Bakwin Kandala, Tobias Chirwa   +3 more
doaj   +2 more sources

Estimating scale‐dependent covariate responses using two‐dimensional diffusion derived from the stochastic partial differential equation method

Methods in Ecology and Evolution
Species distribution models (SDMs) are widely used to standardize spatially unbalanced data, project climate impacts and identify habitat for conservation.
Max Lindmark, Sean C. Anderson, James T. Thorson   +2 more
doaj   +2 more sources

Spatio-temporal data fusion for the analysis of in situ and remote sensing data using the INLA-SPDE approach

Spatial Statistics
We propose a Bayesian hierarchical model to address the challenge of spatial misalignment in spatio-temporal data obtained from in situ and satellite sources. The model is fit using the INLA-SPDE approach, which provides efficient computation. Our methodology combines the different data sources in a "fusion"" model via the construction of projection ...
Shiyu He, Samuel W.K. Wong
openaire   +3 more sources

Bayesian spatial modelling of Ebola outbreaks in Democratic Republic of Congo through the INLA-SPDE approach [PDF]

Zoonoses and Public Health, 2020
AbstractEbola virus (EBV) disease is globally acknowledged public health emergence, which is endemic in the West and equatorial Africa. To understand the epidemiology especially the dynamic pattern of EBV disease, we analyse the EBV case notification data for confirmed cases and reported deaths of the ongoing outbreak in Democratic Republic of Congo ...
Oyelola Adegboye, Ezra Gayawan, Adewale James, Adedayo Adegboye, Faiz Elfaki   +4 more
openaire   +4 more sources

Spatially Dependent Bayesian Modeling of Geostatistics Data and Its Application for Tuberculosis (TB) in China

Mathematics, 2023
Geostatistics data in regions always have highly spatial heterogeneous, yet the regional features of the data itself cannot be ignored. In this paper, a novel latent Bayesian spatial model is proposed, which incorporates the spatial dependence of ...
Zongyuan Xia, Bo Tang, Long Qin, Huiguo Zhang, Xijian Hu   +4 more
doaj   +1 more source