[图书][B] Spatial statistics for data science: theory and practice with R
P Moraga - 2023 - books.google.com
Spatial data is crucial to improve decision-making in a wide range of fields including
environment, health, ecology, urban planning, economy, and society. Spatial Statistics for …
environment, health, ecology, urban planning, economy, and society. Spatial Statistics for …
Towards development of functional climate-driven early warning systems for climate-sensitive infectious disease: Statistical models and recommendations
Climate, weather and environmental change have significantly influenced patterns of
infectious disease transmission, necessitating the development of early warning systems to …
infectious disease transmission, necessitating the development of early warning systems to …
Effect of infection hubs in district-based network epidemic spread model
A network model of epidemic spread accounting for inhomogeneous population district
division is investigated. Motivated by the COVID-19 pandemic, we analyze the effects of …
division is investigated. Motivated by the COVID-19 pandemic, we analyze the effects of …
Effective Utilization of Data for Predicting COVID‐19 Dynamics: An Exploration through Machine Learning Models
D Chumachenko, T Dudkina, S Yakovlev… - … of Telemedicine and …, 2023 - Wiley Online Library
This study is centered around the COVID‐19 pandemic which has posed a global health
concern for over three years. It emphasizes the importance of effectively utilizing epidemic …
concern for over three years. It emphasizes the importance of effectively utilizing epidemic …
Bayesian spatial functional data clustering: applications in disease surveillance
Our method extends the application of random spanning trees to cases where the response
variable belongs to the exponential family, making it suitable for a wide range of real-world …
variable belongs to the exponential family, making it suitable for a wide range of real-world …
An individual-based spatial epidemiological model for the spread of plant diseases
M Cendoya, A Navarro-Quiles, A López-Quílez… - Journal of Agricultural …, 2024 - Springer
In the study of plant disease epidemics, the state of each individual in the population and
their spatial location should be considered when modeling disease spread. We present a …
their spatial location should be considered when modeling disease spread. We present a …
Inhomogeneous log-Gaussian Cox processes with piecewise constant covariates: a case study in modeling of COVID-19 transmission risk in East Java
Abstract The inhomogeneous Log-Gaussian Cox Process (LGCP) defines a flexible point
process model for the analysis of spatial point patterns featuring inhomogeneity/spatial trend …
process model for the analysis of spatial point patterns featuring inhomogeneity/spatial trend …
Maritime transportation and people mobility in the early diffusion of COVID-19 in Croatia
Introduction The outbreak of COVID-19 in Europe began in early 2020, leading to the
emergence of several waves of infection with varying timings across European countries …
emergence of several waves of infection with varying timings across European countries …
Estimating velocities of infectious disease spread through spatio-temporal log-Gaussian Cox point processes
Understanding the spread of infectious diseases such as COVID-19 is crucial for informed
decision-making and resource allocation. A critical component of disease behavior is the …
decision-making and resource allocation. A critical component of disease behavior is the …
[HTML][HTML] Joint spatial and spatiotemporal methods for modeling infectious diseases: a systematic review
LO Agasa, L Abdullahi, S Mongare… - PAMJ-One …, 2024 - one-health.panafrican-med-journal …
Introduction: infectious diseases present significant global public health challenges, sharing
common transmission cycles, clinical manifestations, and epidemiological characteristics …
common transmission cycles, clinical manifestations, and epidemiological characteristics …