How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions? [0.03%]
检测数量对揭示新冠肺炎疫情真相和实施干预的作用有多大？
Aditya Gopalan,Himanshu Tyagi
Aditya Gopalan
The number of confirmed cases of COVID-19 is often used as a proxy for the actual number of ground truth COVID-19-infected cases in both public discourse and policy making. However, the number of confirmed cases depends on the testing polic...
tamasomā jyotirgamaya: Seeking the Self Amidst Covids' Cytokine Cyclones [0.03%]
引领我穿越黑暗到达光明：新冠肺炎的细胞因子风暴中的自我探索
R.x. Covea;B Mishra
R.x. Covea;B Mishra
Pondering on pandemics and the promise of purification from the plethora of problems that it has spawned, the paper builds on a game-theoretic model of host-pathogen interaction, and... moves beyond. It highlights how quickly this 'wicked' ...
Akshay S Dinesh,Varnita Mathur,B R Ansil et al.
Akshay S Dinesh et al.
Health Heatmap of India is an open data platform built for bringing together data from diverse sources and facilitating visualization, analysis, and insight building from such data. In this paper, we describe the context and need for such a...
Manoj Gopalkrishnan,Sandeep Krishna
Manoj Gopalkrishnan
As SARS-CoV-2 continues to propagate around the world, it is becoming increasingly important to scale up testing. This is necessary both at the individual level, to inform diagnosis, treatment and contract tracing, as well as at the populat...
Variation in COVID-19 Data Reporting Across India: 6 Months into the Pandemic [0.03%]
印度COVID-19数据报告的变异：疫情爆发6个月以来
Varun Vasudevan,Abeynaya Gnanasekaran,Varsha Sankar et al.
Varun Vasudevan et al.
India reported its first case of COVID-19 on January 30, 2020. Six months since then, COVID-19 continues to be a growing crisis in India with over 1.6 million reported cases. In this communication, we assess the quality of COVID-19 data rep...
COVID Study Circle: An Experiment in Forming a Digital Collective During a Pandemic [0.03%]
新冠研究圈：疫情中形成数字群体的一次尝试
Chitra Pattabiraman,Bhagteshwar Singh
Chitra Pattabiraman
Artificial Intelligence and One Health: Knowledge Bases for Causal Modeling [0.03%]
人工智能与全球健康：因果建模的知识库
Nitin Pandit,Abi T Vanak
Nitin Pandit
Scientists all over the world are moving toward building database systems based on the One Health concept to prevent and manage outbreaks of zoonotic diseases. An appreciation of the process of discovery with incomplete information and a re...
The Good, The Bad and The Ugly: A Mathematical Model Investigates the Differing Outcomes Among CoVID-19 Patients [0.03%]
好坏丑：一个数学模型研究COVID-19患者之间的不同结果
Sarthak Sahoo,Siddharth Jhunjhunwala,Mohit Kumar Jolly
Sarthak Sahoo
The disease caused by SARS-CoV-2-CoVID-19-is a global pandemic that has brought severe changes worldwide. Approximately 80% of the infected patients are largely asymptomatic or have mild symptoms such as fever or cough, while rest of the pa...
Vijay Chandru
Vijay Chandru
A Web Resource for Exploring the CORD-19 Dataset Using Root- and Rule-Based Phrases [0.03%]
使用基于根和规则的短语探索CORD-19数据集的网络资源
Jacob Collard,Talapady Bhat,Eswaran Subrahmanian et al.
Jacob Collard et al.
This short paper describes a web resource-the NIST CORD-19 Web Resource-for community explorations of the COVID-19 Open Research Dataset (CORD-19). The tools for exploration in the web resource make use of the NIST-developed Root- and Rule-...