0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
Evaluating the Impact of Traveling on COVID-19 Prevalence and Predicting the New Confirmed Cases According to the Travel Rate Using Machine Learning: A Case Study in Iran
Authors :
Anita Ghandehari
1
Soheil Shirvani
2
Hadi Moradi
3
1- University of Tehran
2- University of Tehran
3- University of Tehran
Keywords :
COVID-19 pandemic, supervised machine learning, data correlation, importance analysis, COVID-19 epidemiological characteristics, virus prevalence prediction, traveling effects
Abstract :
COVID-19 which has spread in Iran from February 19, 2020, infected 1,550,142 people and killed 59,264 people until February 18, 2021. The immediate suggested solution to prevent the spread of this virus was to avoid traveling around. Unfortunately, on many occasions, this restriction was not enforced or respected by the citizens. Thus, the goal of this study was to evaluate the impact of traveling on the COVID-19 prevalence by measuring the correlation between traveling data and new confirmed cases of COVID-19 in Iran. The data consists of the daily traffic between Iran’s provinces, air traffic, and daily COVID-19 new confirmed cases. In the first step, the importance analysis was used to determine the impact of different kinds of traveling on the COVID-19 spread. In the second step, KNN, Random Forest (RF), and Support Vector Regression (SVR) were used to predict the effect of traveling on the number of new COVID-19 cases. Although the available data was very coarse and there were no details of inner-cities commute, an R-squared of 0.89 and 0.86 on the train and test datasets was achieved respectively, showing a positive correlation between the number of travels between states and the new confirmed cases of COVID-19. It was also shown that there was an 8-day incubation period. Consequently, by considering this period the voting regressor model reached 0.92 and 0.98 R2 scores for test and train datasets respectively. The result confirms that one of the best ways to avoid the spread of the virus is limiting or eliminating traveling around.
Papers List
List of archived papers
A Novel Approach for Image-Text Matching Cross-Modal Space Learning
Amirreza Ebrahimi - Mohammad Javad Parseh - Pejman Rasti
Hybrid navigation based on GPS data and SIFT-based place recognition using Biologically-inspired SLAM
Sahar Salimpour Kasebi - Hadi Seyedarabi - Javad Musevi Niya
Delay Optimization of a Federated Learning-based UAV-aided IoT network
Hossein Mohammadi Firouzjaei - Javad Zeraatkar Moghaddam - Mehrdad Ardebilipour
Brain Age Estimation with Twin Vision Transformer using Hippocampus Information Applicable to Alzheimer Dementia Diagnosis
Zahra Qodrati - Seyedeh Masoumeh Taji - Amirhossein Ghaemi - Habibollah Danyali - Kamran Kazemi - Alireza Ghaemi
Automatic Infrared-Based Volume and Mass Estimation System for Agricultural Products
Seyed Muhammad Hossein Mousavi - S. Muhammad Hassan Mosavi
InfOnto: An ontology for fashion influencer marketing based on Instagram
Somaye Sultani - Mohsen Kahani
Joint mobility-aware offloading and UAV position optimization in Blockchain-enabled 5G
Zeinab Rabbani - Zeinab Movahedi
Divide and Conquer Approach to Long Genomic Sequence Alignment
Mahmoud Naghibzadeh - Samira Babaei - Behshid Behkmal - Mojtaba Hatami
Span-prediction of Unknown Values for Long-sequence Dialogue State Tracking
Marzieh Naghdi Dorabati - Reza Ramezani - Mohammad Ali Nematbakhsh
Sum Rate Analysis and Power Allocation in Massive MIMO Systems with Power Constraints
Abdolrasoul Sakhaei Gharagezlou - Mahdi Nangir
more
Samin Hamayesh - Version 42.4.1