Author: Kafieh, Rahele; Arian, Roya; Saeedizadeh, Narges; Minaee, Shervin; amini, zahra; Kumar Yadav, Sunil; Vaezi, Atefeh; Rezaei, Nima; Haghjooy Javanmard, Shaghayegh
Title: COVID-19 in Iran: A Deeper Look Into The Future Cord-id: gns5omyb Document date: 2020_4_27
ID: gns5omyb
Snippet: The novel corona-virus (COVID-19) has led to a pandemic, affecting almost all countries and regions in a few weeks, and therefore a global plan is needed to overcome this battle. Iran has been among the first few countries that has been affected severely, after China, which forced the government to put some restriction and enforce social distancing in majority of the country. In less than 2 months, Iran has more than 80,000 confirmed cases, and more than 5,000 death. Based on the official statis
Document: The novel corona-virus (COVID-19) has led to a pandemic, affecting almost all countries and regions in a few weeks, and therefore a global plan is needed to overcome this battle. Iran has been among the first few countries that has been affected severely, after China, which forced the government to put some restriction and enforce social distancing in majority of the country. In less than 2 months, Iran has more than 80,000 confirmed cases, and more than 5,000 death. Based on the official statistics from Iran's government, the number of daily cases has started to go down recently, but many people believe if the lockdown is lifted without proper social distancing enforcement, there is a possibility for a second wave of COVID-19 cases. In this work, we analyze at the data for the number cases in Iran in the past few weeks, and train a predictive model to estimate the possible future trends for the number of cases in Iran, depending on the government policy in the coming weeks and months. Our analysis may help political leaders and health officials to take proper action toward handling COVID-19 in the coming months.
Search related documents:
Co phrase search for related documents- able generalize and machine learning model: 1
- absolute error and accuracy index: 1
- absolute error and accurate model: 1, 2, 3, 4, 5, 6, 7, 8
- absolute error and actual number: 1
- absolute error and logistic model: 1
- absolute error and long lstm short term memory: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
- absolute error and lstm short term memory: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
- absolute error and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- absolute error and machine learning model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
- accuracy index and logistic model: 1, 2, 3, 4
- accuracy index and machine learning: 1, 2, 3, 4, 5, 6
- accurate model and actual number: 1, 2, 3, 4
- accurate model and actual value: 1
- accurate model and logistic model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
- accurate model and long lstm short term memory: 1, 2, 3, 4, 5, 6, 7, 8, 9
- accurate model and low performance: 1
- accurate model and lstm short term memory: 1, 2, 3, 4, 5, 6, 7, 8, 9
- accurate model and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- accurate model and machine learning model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
Co phrase search for related documents, hyperlinks ordered by date