Air Passengers' Risk of SARS-CoV-2 Infection with a 14-day Quarantine and Accuracy Assessment of a Symptom-based Screening System at an Airport.

Objectives: This study aimed to validate the risk of SARS-CoV-2 infection, identify infection risk factors among air passengers subject to a 14-day mandatory quarantine, and evaluate the accuracy of mass symptom-based screening criteria at an airport.

Methods: This retrospective cohort study analyzed data from 116,004 air passengers who entered Thailand through Suvarnabhumi Airport in Bangkok from April to September 2020. The incidence of SARS-CoV-2 infection, risk characteristics, and accuracy indices of symptom-based screening were calculated.

SARS-CoV-2 Infection Risk Imposed by Fully-vaccinated Air Travelers Attending an Island-confined Quarantine System Enabling Tourism During the Pandemic: A Retrospective Cohort Study.

Objectives: This study aimed to identify the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among fully vaccinated air travelers participating in an island-confined quarantine system (Phuket Sandbox Program). It also compared the differential risk of SARS-CoV-2 infection across different coronavirus disease 2019 (COVID-19) vaccines and the difference in time-to-detection periods between asymptomatic and symptomatic cases.

Methods: This retrospective cohort study determined the cumulative incidence of SARS-CoV-2 infection among 63 052 air travelers who participated in a quarantine program from July 1, 2021 to October 31, 2021.

A Study on the Influence of Sensors in Frequency and Time Domains on Context Recognition.

Adaptive AI for context and activity recognition remains a relatively unexplored field due to difficulty in collecting sufficient information to develop supervised models. Additionally, building a dataset for human context activities "in the wild" demands time and human resources, which explains the lack of public datasets available. Some of the available datasets for activity recognition were collected using wearable sensors, since they are less invasive than images and precisely capture a user's movements in time series.