Assessing receptivity to malaria using case surveillance and forest data in a near-elimination setting in northeast Thailand.

Background: Thailand aimed to eliminate malaria by 2024, and as such is planning for future prevention of re-establishment in malaria free provinces. Understanding the receptivity of local areas to malaria allows the appropriate targeting of interventions. Current approaches to assessing receptivity involve collecting entomological data.

Mapping malaria transmission foci in Northeast Thailand from 2011 to 2021: approaching elimination in a hypoendemic area.

Background: Thailand is approaching local elimination of malaria in the eastern provinces. It has successfully reduced the number of cases over the past decade, but there are persistent transmission hot spots in and around forests. This study aimed to use data from the malaria surveillance system to describe the spatiotemporal trends of malaria in Northeast Thailand and fine-scale patterns in locally transmitted cases between 2011 and 2021.

The Impact of COVID-19 on Clinical Nurse Specialists and Patients With Cancer: A Pan-Specialty Cross-sectional Survey.

Purpose/aims: Uptake and delivery of cancer services across the United Kingdom have been significantly impacted by the COVID-19 pandemic. This study aimed to understand the impact of the pandemic on the working practices of clinical nurse specialists and their patient interactions across different cancer specialties.

Design: We performed a cross-sectional survey exploring nurses' experiences of delivering care during the pandemic, as well as their perceptions of the concerns that cancer patients were experiencing.

LAG-1: A dynamic, integrative model of learning, attention, and gaze.

It is clear that learning and attention interact, but it is an ongoing challenge to integrate their psychological and neurophysiological descriptions. Here we introduce LAG-1, a dynamic neural field model of learning, attention and gaze, that we fit to human learning and eye-movement data from two category learning experiments. LAG-1 comprises three control systems: one for visuospatial attention, one for saccadic timing and control, and one for category learning.

Efficient allocation of attentional sensitivity gain in visual cortex reduces foveal sensitivity in visual search.

The human visual system has a high-resolution fovea and a low-resolution periphery. When actively searching for a target, humans perform a covert search during each fixation, and then shift fixation (the fovea) to probable target locations. Previous studies of covert search under carefully controlled conditions provide strong evidence that for simple and small search displays, humans process all potential target locations with the same efficiency that they process those locations when individually cued on each trial.