Results 61 to 70 of about 7,865 (191)

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

open access: yesInternational Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda   +2 more
wiley   +1 more source

Geographical Pattern of Testicular Cancer Points to Maternal Exposures Behind Increasing Incidence

open access: yesInternational Journal of Cancer, Volume 159, Issue 11, Page 2688-2693, 1 December 2026.
ABSTRACT Evidence suggests that testicular cancer (TC) originates from germ cell neoplasia in situ arising during fetal development, implying that prenatal environmental exposures may influence disease risk. We investigated whether maternal place of residence during pregnancy is associated with regional variation in TC incidence.
Antti Kaipia   +8 more
wiley   +1 more source

Listeria monocytogenes internalin B activates junctional endocytosis to accelerate intestinal invasion. [PDF]

open access: yesPLoS Pathogens, 2010
Listeria monocytogenes (Lm) uses InlA to invade the tips of the intestinal villi, a location at which cell extrusion generates a transient defect in epithelial polarity that exposes the receptor for InlA, E-cadherin, on the cell surface.
Mickey Pentecost   +3 more
doaj   +1 more source

A Sequential Monte Carlo Method for Bayesian Poisson Process Trees

open access: yesStat, Volume 15, Issue 4, December 2026.
ABSTRACT Statistical analysis of spatial point patterns often needs to deal with heterogeneous structures in intensity function estimation with possibly high‐dimensional covariate space. Likelihood based inference for spatial point process models needs to address the challenges in evaluating the multidimensional integral of random intensity function ...
Pulong Ma
wiley   +1 more source

Global, Regional, and National Trends in Lip and Oral Cavity Cancer Incidence From 1990 to 2021 and Projection to 2040: A Systematic Analysis

open access: yesCancer Medicine, Volume 15, Issue 11, November 2026.
ABSTRACT Background Lip and oral cavity cancer (LOCC) represents a significant global health burden, with varying incidence rates across regions and populations. Understanding these trends is crucial for effective resource allocation and the development of targeted public health interventions.
Jing‐Yuan Wang   +6 more
wiley   +1 more source

Spatio-temporal predictions of COVID-19 test positivity in Uppsala County, Sweden: a comparative approach

open access: yesScientific Reports, 2022
Previous spatio-temporal COVID-19 prediction models have focused on the prediction of subsequent number of cases, and have shown varying accuracy and lack of high geographical resolution.
Vera van Zoest   +6 more
doaj   +1 more source

InlA enhances, but is not required for colonization of the murine intestines.

open access: yes, 2012
Female BALB mice were co-infected at night with a 1∶1 mixture of Lm InlAm and either wild type (wt) Lm EGDe or inlA deletion mutant (ΔinlA) for a total inoculum of 7–9×108 CFU.
Grant S. Jones (120352)   +5 more
core   +1 more source

Regional prevalence and spatial modeling of hypertension in South Africa

open access: yesOpen Health
In 2000, hypertension was the cause of nearly 47,000 deaths in South Africa. Since then, its prevalence has increased from 25% to over 40% of the population.
Rudasingwa Guillaume   +2 more
doaj   +1 more source

Sample and isolate information for aberrant InlA types.

open access: yes, 2016
Sample and isolate information for aberrant InlA types.
Craig T. Parker (37612)   +4 more
core   +1 more source

RTMB: An R Package for Fitting Latent Variable Models With Template Model Builder

open access: yesEcology and Evolution, Volume 16, Issue 11, November 2026.
Hierarchical and latent variable models are fundamental in ecology, fisheries science, and epidemiology, but fitting them efficiently relies on automatic differentiation (AD) combined with approximations such as the Laplace approximation. RTMB is an R package that exposes the full power of TMB's AD machinery directly from plain R. Users write the joint
Kasper Kristensen   +4 more
wiley   +1 more source

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