12 Chapter 13Figure 13.1 Impact of COVID-19 on IoT market. e: estimated; p: projected.Figure 13.2 Processes utilized by IoT for COVID-19.Figure 13.3 IoT innovations and its enthusiasm among the organizations.Figure 13.4 Healthcare framework based on IoT.Figure 13.5 Components of Smart disease surveillance.Figure 13.6 Conceptual view of Smart disease surveillance system.Figure 13.7 The conceptual diagram shown above demonstrates the integrated IoT s...Figure 13.8 Key merits of IoT.Figure 13.9 Issues in implementing IoT.
13 Chapter 14Figure 14.1 Mechanism of infection resulting from SARS-COV 2 infection [6].Figure 14.2 Source: India’s Ministry of Health and family welfare [37].Figure 14.3 Logistic growth of COVID-19 infection for Germany [40].Figure 14.4 Logistic growth of COVID-19 infection for Italy [40].Figure 14.5 Growth of Corona patients in India [41].Figure 14.6 SIR model for Japan [16].Figure 14.7 SIR model for Italy [16].Figure 14.8 Distribution of probability of last scale of the outbreak [48].
14 Chapter 15Figure 15.1 Test statistics of India till 6th May 2020 [3].Figure 15.2 Lock down analysis phase-1 [4].Figure 15.3 Regression analysis lockdown phase-1 [4].Figure 15.4 Lock down analysis phase-2 [14].Figure 15.5 Regression analysis of lockdown phase-2 [14].Figure 15.6 Lock down analysis phase-3 [15].Figure 15.7 15-day analysis of COVID-19 cases in Maharashtra [14].Figure 15.8 15-day analysis of COVID-19 cases in Delhi [15].Figure 15.9 Actual vs predicted confirmed cases for Delhi.Figure 15.10 Actual vs predicted confirmed cases for Maharashtra.
1 Chapter 7Table 7.1 Technological strategies adopted by various countries during the outbr...Table 7.2 Technologies and their use during the outbreak of SARS.Table 7.3 Technological strategies adapted by various countries during the outbr...Table 7.4 Technologies and their use during the outbreak of Ebola.Table 7.5 Future technologies that can be deployed to limit the spread of simila...
2 Chapter 8Table 8.1 A quantitative measure of pandemics based on crucial factors.Table 8.2 Digital technology for COVID-19 management.
3 Chapter 9Table 9.1 Classification of bio-sensors.Table 9.2 Comparison of various technologies.
4 Chapter 10Table 10.1 Total reported cases and death cases due to Corona Virus are shown be...
5 Chapter 11Table 11.1 Benchmark results of APGWO vs GWO and PSO.Table 11.2 Example of the initial solution.Table 11.3 Summarized results (rounded up).Table 11.4 Summarized gap.
6 Chapter 14Table 14.1 Significant countries affected by the CODIV-19 pandemic [16].
7 Chapter 15Table 15.1 COVID-2019 data of five different countries on May 7, 2020 [1].Table 15.2 Different machine learning algorithm adopted by different researchers...Table 15.3 COVID-19 data of five highly infected States of India [4].Table 15.4 Value of performance evaluator parameter for training and testing dat...Table 15.5 Value of performance evaluator parameter for training and testing dat...
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Scrivener Publishing100 Cummings Center, Suite 541J Beverly, MA 01915-6106
Publishers at Scrivener Martin Scrivener ( martin@scrivenerpublishing.com) Phillip Carmical ( pcarmical@scrivenerpublishing.com)
Enabling Healthcare 4.0 for Pandemics
A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies
Edited by
Abhinav Juneja
Vikram Bali
Sapna Juneja
Vishal Jain
Prashant Tyagi
This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA
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