Results 1 to 10 of about 334 (107)

Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach [PDF]

Scientific Reports, 2023
The use of spatially referenced data in agricultural systems modelling has grown in recent decades, however, the use of spatial modelling techniques in agricultural science is limited.
Andrew Fichera, Rachel King, Jarrod Kath, David Cobon, Kathryn Reardon-Smith   +4 more
doaj   +5 more sources

Spatial variability and uncertainty associated with soil moisture content using INLA-SPDE combined with PyMC3 probability programming [PDF]

Scientific Reports
Spatial variability and uncertainty associated with soil volumetric moisture content (SVMC) is crucial in moisture prediction accuracy, this paper sets out to address this point of SVMC by developing data-driven model.
Yujian Yang, Xueqin Tong
doaj   +4 more sources

Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular). [PDF]

Sci Rep, 2020
AbstractTo protect the most vulnerable marine species it is essential to have an understanding of their spatiotemporal distributions. In recent decades, Bayesian statistics have been successfully used to quantify uncertainty surrounding identified areas of interest for bycatch species.
Lezama-Ochoa N, Pennino MG, Hall MA, Lopez J, Murua H.   +4 more
europepmc   +11 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

Mapping the risk of Rift Valley fever in Uganda using national seroprevalence data from cattle, sheep and goats. [PDF]

PLoS Neglected Tropical Diseases, 2023
Uganda has had repeated outbreaks of Rift Valley fever (RVF) since March 2016 when human and livestock cases were reported in Kabale after a long interval.
Dan Tumusiime, Emmanuel Isingoma, Optato B Tashoroora, Deo B Ndumu, Milton Bahati, Noelina Nantima, Denis Rwabiita Mugizi, Christine Jost, Bernard Bett   +8 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

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

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   +2 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