Decision Sciences for COVID-19

Edited by Said Ali Hassan (), Ali Wagdy Mohamed () and Khalid Abdulaziz Alnowibet ()

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2022
ISBN: 978-3-030-87019-5
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic

Joseph Bamidele Awotunde, Sakinat Oluwabukonla, Chinmay Chakraborty, Akash Kumar Bhoi and Gbemisola Janet Ajamu

Ch Chapter 10 Comparing Predictive Accuracy of COVID-19 Prediction Models: A Case Study

Dmitriy Klyushin

Ch Chapter 11 AIC Algorithm for Entrepreneurial Intention in Covid19 Pandemic

Nguyen Thi Ngan and Bui Huy Khoi

Ch Chapter 12 Sentiment Analysis for COVID Vaccinations Using Twitter: Text Clustering of Positive and Negative Sentiments

Dwijendra Nath Dwivedi and Shailendra Pathak

Ch Chapter 13 Participation and Active Contribution of Private Universities in the Prevention of the Covid-19 Pandemic Transmission

Mahyudin Ritonga, Ahmad Lahmi, Sandra Ayu, Yufi Latmini Lasari, Sri Wahyuni, Desminar, Armalena and Fitria Sartika

Ch Chapter 14 Effects on Mental Health by the Coronavirus Disease 2019 (COVID-19) Pandemic Outbreak

Sanjay Kumar Rout and Duryodhan Sahu

Ch Chapter 15 Multimodal Analysis of Cognitive and Social Psychology Effects of COVID-19 Victims

V. Kakulapati, S. Mahender Reddy and Sriman Naini

Ch Chapter 16 Public Transport Passenger’s Density Estimation Tool for Supporting Policy Responses for COVID-19

Nilton A. Henao-Calle, Mateo Arroyave-Quintero, Semaria Ruiz-Alvarez and Danny A. J. Gómez-Ramírez

Ch Chapter 17 A Generalized Model for Scheduling Multi-Objective Multiple Shuttle Ambulance Vehicles to Evacuate COVID-19 Quarantine Cases

Said Ali Hassan and Ali Wagdy Mohamed

Ch Chapter 18 Hyperparameters Optimization of Deep Convolutional Neural Network for Detecting COVID-19 Using Differential Evolution

Abdelrahman Ezzeldin Nagib, Mostafa Mohamed Saeed, Shereen Fathy El-Feky and Ali Khater Mohamed

Ch Chapter 19 Quality Design for the COVID-19 Pandemic: Use of a Web Scraping Technique on Text Comments and Quality Ratings from Multiple Online Sources

Praowpan Tansitpong

Ch Chapter 2 An IOT-Based COVID-19 Detector Using K-Nearest Neighbor

T. M. Okediran, O. R. Vincent, A. A. Abayomi-Alli and O. J. Adeniran

Ch Chapter 20 Data Science Models for Short-Term Forecast of COVID-19 Spread in Nigeria

Ijegwa David Acheme, Olufunke Rebecca Vincent and Olaniyi Mathew Olayiwola

Ch Chapter 21 Attention-Based Residual Learning Network for COVID-19 Detection Using Chest CT Images

R. Karthik, R. Menaka, Sundar Anand, Annie Johnson and Kanagala Srilakshmi

Ch Chapter 22 COVID-19 Face Mask Detection Using CNN and Transfer Learning

Cecilia Ajowho Adenusi, Olufunke Rebecca Vincent, Jesufunbi Abodunrin and Bukola Taibat Adebiyi

Ch Chapter 23 LASSO-DT Based Classification Technique for Discovery of COVID-19 Disease Using Chest X-Ray Images

Roseline Oluwaseun Ogundokun, Joseph Bamidele Awotunde, Paul Onawola and Taye Oladele Aro

Ch Chapter 24 Economic Policies for the COVID-19 Pandemic: Lessons from the Great Recession

Guillermo Peña

Ch Chapter 25 QOL Barometer for the Well-being of Citizens: Leverages during Critical Emergencies and Pandemic Disasters

Arindam Chakrabarty, Uday Sankar Das and Saket Kushwaha

Ch Chapter 3 Predictive Analytics for Early Detection of COVID-19 by Fuzzy Logic

V. Kakulapati, R. Sai Sandeep and V. Kranthikumar

Ch Chapter 4 Role of Artificial Intelligence in Diagnosis of Covid-19 Using CT-Scan

Karim Sherif, Yousef Emad Gadallah, Khalil Ahmed, Salma ELsayed and Ali Wagdy Mohamed

Ch Chapter 5 Predicting the Pandemic Effect of COVID 19 on the Nigeria Economic, Crude Oil as a Measure Parameter Using Machine Learning

Cecilia Ajowho Adenusi, Olufunke Rebecca Vincent, Jesufunbi Bolarinwa and Ologunye Oluwakemi

Ch Chapter 6 Time Series Analysis and Forecast of COVID-19 Pandemic

Pawan Thapa

Ch Chapter 7 A Multi-Step Predictive Model for COVID-19 Cases in Nigeria Using Machine Learning

Sakinat Oluwabukonla Folorunso, Ezekiel Adebayo Ogundepo, Joseph Bamidele Awotunde, Femi Emmanuel Ayo, Oluwatobi Oluwaseyi Banjo and Abass Ishola Taiwo

Ch Chapter 8 Nigerian COVID-19 Incidence Modeling and Forecasting with Univariate Time Series Model

Abass Ishola Taiwo, Adedayo Funmi Adedotun and Timothy Olabisi Olatayo

Ch Chapter 9 Predicting the Spread of COVID-19 in Africa Using Facebook Prophet and Polynomial Regression

Cecilia Ajowho Adenusi, Olufunke Rebecca Vincent, Abiodun Folurera Ajayi and Bukola Taibat Adebiyi

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-3-030-87019-5

Ordering information: This item can be ordered from
http://www.springer.com/9783030870195

DOI: 10.1007/978-3-030-87019-5

Access Statistics for this book

More books in International Series in Operations Research and Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().