Vol 100, No 4 (2020)

Digital Health

Table of Contents

Editor's Desk

Editor’s Desk
G. K. Ananthasuresh
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589–591

Review Articles

Exponential Technologies and the Perfect Storm for Digital Health
Vijay Chandru
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593–595
Health is the Motive and Digital is the Instrument
S. Seethalakshmi
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597–602
Global Biological Threats: Novel Tools and Multi‑Disciplinary Approaches to Sustainable Development
Shahid Jameel
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603–610
The Privacy Implications of Using Data Technologies in a Pandemic
Rahul Matthan
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611–621
GoCoronaGo: Privacy Respecting Contact Tracing for COVID‑19 Management
Yogesh Simmhan
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623–646
COVID Study Circle: An Experiment in Forming a Digital Collective During a Pandemic
Journal of the Indian Institute of Science
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647–651
Digital Twin for Drug Discovery and Development—The Virtual Liver 1 Introduction The process of developing a drug is extremely research-intensive spanning efforts in biology, chemistry and manufacturing, while being characterised by a low probability of success. It is estimated that 50,000 hits are tested to achieve a successful drug. The odds of a drug molecule eventually reaching patients are so low that only one in 12 drug molecules that are tested on humans in clinical trials make it successfully to the market. Toxicity and lack of efficacy account for greater than 60% of all drug failures1. The traditional approach to drug discovery is akin to a pipeline with targets, leads and molecules each needing to meet pre-set success criteria to progress towards clinical development and ultimately the market. In such a brute force approach, making the right
Kalyanasundaram Subramanian
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653–662
tamasoma¯ jyotirgamaya: Seeking the Self Amidst Covids’ Cytokine Cyclones
R.x. Covea
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663–672
The Good, The Bad and The Ugly: A Mathematical Model Investigates the Differing Outcomes Among CoVID‑19 Patients
Sarthak Sahoo, Siddharth Jhunjhunwala, Mohit Kumar Jolly
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673–681
Technology, Population Health, and Human Wellness
Sameer Bhat
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683–689
Leveraging Technology to Enable Effective Preventive Screening of NCDs at Population Scale: Initial Observations
Sunita Nadhamuni
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691–700
Health Heatmap of India: An Open Data Platform
Akshay S. Dinesh
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701–716
Artificial Intelligence and One Health: Knowledge Bases for Causal Modeling
Nitin Pandit
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717–723
A Web Resource for Exploring the CORD‑19 Dataset Using Root‑ and Rule‑Based Phrases
Jacob Collard, Talapady Bhat, Eswaran Subrahmanian, Ira Monarch, Jonah Tash, Ram Sriram, John Elliot
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725–731
Data Analysis in Rare Disease Diagnostics
Vamsi Veeramachaneni
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733–751
The Impact of IoT in Healthcare: Global Technological Change & The Roadmap to a Networked Architecture in India
Satya Prakash Dash
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773–785
Pooling Samples to Increase SARS‑CoV‑2 Testing
Manoj Gopalkrishnan
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787–792
Mathematical Models for COVID‑19 Pandemic: A Comparative Analysis
Aniruddha Adiga, Devdatt Dubhashi, Bryan Lewis, Madhav Marathe, Srinivasan Venkatramanan, Anil Vullikanti
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793–807
City‑Scale Agent‑Based Simulators for the Study of Non‑pharmaceutical Interventions in the Context of the COVID‑19 Epidemic
Rajesh Sundaresan
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809–847
Suppress, and Not Just Flatten: Strategies for Rapid Suppression of COVID19 Transmission in Small World Communities
Journal of the Indian Institute of Science
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849–862
How Reliable are Test Numbers for Revealing the COVID‑19 Ground Truth and Applying Interventions?
Aditya Gopalan, Himanshu Tyagi
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863–884
Variation in COVID‑19 Data Reporting Across India: 6 Months into the Pandemic
Varun Vasudevan, Abeynaya Gnanasekaran, Varsha Sankar, Siddarth A. Vasudevan, James Zou
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885–892
A Robust and Non‑parametric Model for Prediction of Dengue Incidence
Atlanta Chakraborty, Vijay Chandru
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893–899