Evaluating Measles Incidence Rates Using Machine Learning and Time Series Methods in the Center of Iran, 1997-2020

Evaluating Measles Incidence Rates Using Machine Learning and Time Series Methods in the Center of Iran, 1997-2020

Background: Measles is a feverish condition labeled among the most infectious viral illnesses in the globe. Despite the presence of a secure, accessible, affordable and efficient vaccine, measles continues to be a worldwide concern. Methods: This epidemiologic study used machine learning and tim...

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Bibliographic Details
Main Authors: Javad Nazari, Parnia-Sadat Fathi, Nahid Sharahi, Majid Taheri, Payam Amini, Amir Almasi-Hashiani
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2022-04-01
Series:Iranian Journal of Public Health
Subjects:
Measles
Machine learning
Time series
Infection
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/21722

Internet

https://ijph.tums.ac.ir/index.php/ijph/article/view/21722

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