ABSTRACT
As countries enter the endemic phase of COVID-19, people's risk of exposure to the virus is greater than ever. There is a need to make more informed decisions in our daily lives on avoiding crowded places. Crowd monitoring systems typically require costly infrastructure. We propose a crowdsourced crowd monitoring platform which leverages user inputs to generate crowd counts and forecast location crowdedness. A key challenge for crowd-sourcing is a lack of incentive for users to contribute. We propose a Reinforcement Learning based dynamic incentive mechanism to optimally allocate rewards to encourage user participation.
ABSTRACT
The COVID-19 pandemic is one of the most severe challenges the world faces today. In order to contain the transmission of COVID-19, people around the world have been advised to practise social distancing. However, maintaining social distance is a challenging problem, as we often do not know beforehand how crowded the places we intend to visit are. In this paper, we demonstrate crowded.sg, an AI-empowered platform that leverages on Unmanned Aerial Vehicles (UAVs), crowdsourced images, and computer vision techniques to provide social distancing decision support.
ABSTRACT
Amid the global outbreak and epidemic of Corona Virus Disease 2019 (COVID-19), it is urgent to find effective and safe therapies against COVID-19. Preliminary clinical studies on COVID-19 showed that chloroquine and hydroxychloroquine were effective. However, it is necessary to pay attention to medication application of chloroquine and hydroxychloroquine, since they have a large volume of distribution, a long half-life and the risk of adverse reactions of retinopathy with the long-term application of larger doses. In order to better understand these two drugs in current medical practice, this article outlines the history of clinical application and development of chloroquine and hydroxychloroquine, focusing on their pharmacokinetic characteristics and adverse reactions as well as the recent use against COVID-19 and their potential pharmacological action mechanism. It is hoped that this article can contribute to clinical use. © 2020 Chinese Journal of Pharmacology and Toxicology. All rights reserved.