Spatial Variability and Uncertainty Associated With Soil Moisture Content Using INLA-SPDE Combined With PyMC3 Probability Programming [PDF]
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
exaly +3 more sources
Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach [PDF]
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 +4 more
doaj +2 more sources
Bayesian modelling of spatio-temporal dynamics for early-warning and control of severe malaria in Cameroon [PDF]
Background: Malaria is a significant public health problem in Cameroon where spatial and temporal heterogeneities in transmission make early-warning and control complicated. The traditional forecasting methods have the limitation that they are not always
Akindeh Mbuh Nji +13 more
doaj +2 more sources
Migration-adjusted prostate cancer incidence in China: a population-based epidemiological analysis [PDF]
BackgroundChina’s internal migration poses major challenges to cancer surveillance systems that rely on household-registered populations (HRP). Excluding migrants can lead to biased incidence estimates and misinformed public health planning.MethodsThis ...
Yu Zhang +23 more
doaj +2 more sources
Geostatistical Modelling and Web‐Based Mapping of Malaria Risks Among Children Under Five Years in Nigeria: Evidence From the 2021 Nigeria Malaria Indicator Survey [PDF]
Background Malaria is a critical public health concern in Nigeria with the country bearing an uneven burden of the disease. In Nigeria, malaria is one of the main causes of child mortality and despite all efforts to reduce malaria mortality rates, the ...
Justice Moses K. Aheto +23 more
doaj +2 more sources
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.
Bitaisha Nakishuka Shukuru +1 more
exaly +3 more sources
The estimated incidence of uterine corpus cancers among permanent residents in mainland China using Bayesian spatial modeling [PDF]
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 +15 more
doaj +2 more sources
Integrating migration into cancer geography: spatial clustering of five digestive cancer burden in China [PDF]
IntroductionChina’s digestive cancer landscape presents a dual challenge, the significant geographic disparity and the distorting effect of large-scale internal migration on burden estimation.
Guijin Li +27 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]
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 +5 more
doaj +2 more sources
Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models [PDF]
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

