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Disease Control Through Social Network Surveillance

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Cover of 'Disease Control Through Social Network Surveillance'

Table of Contents

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    Book Overview
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    Chapter 1 Analysis of Public Perceptions Towards the COVID-19 Vaccination Drive: A Case Study of Tweets with Machine Learning Classifiers
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    Chapter 2 Spreader-Centric Fake News Mitigation Framework Based on Epidemiology
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    Chapter 3 Understanding How Readers Determine the Legitimacy of Online Medical News Articles in the Era of Fake News
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    Chapter 4 Trends, Politics, Sentiments, and Misinformation: Understanding People’s Reactions to COVID-19 During Its Early Stages
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    Chapter 5 Citation Graph Analysis and Alignment Between Citation Adjacency and Themes or Topics of Publications in the Area of Disease Control Through Social Network Surveillance
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    Chapter 6 Privacy in Online Social Networks: A Systematic Mapping Study and a Classification Framework
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    Chapter 7 Beyond Influence Maximization: Volume Maximization in Social Networks
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    Chapter 8 Concerns of Indian Population on Covid-19 Vaccine Shortage Amidst Second Wave Infection Rate Spikes: A Social Media Opinion Analysis
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    Chapter 9 The Effects of Face Masks on the Performance of Modern MWIR Face Detectors
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    Chapter 10 Multispectral Face Mask Compliance Classification During a Pandemic
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    Chapter 11 On the Effectiveness of Visible and MWIR-Based Periocular Human Authentication When Wearing Face Masks
Attention for Chapter 10: Multispectral Face Mask Compliance Classification During a Pandemic
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Chapter title
Multispectral Face Mask Compliance Classification During a Pandemic
Chapter number 10
Book title
Disease Control Through Social Network Surveillance
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-07869-9_10
Book ISBNs
978-3-03-107868-2, 978-3-03-107869-9
Authors

Rose, Jacob, Liu, Haiying, Bourlai, Thirimachos

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