Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches

R Keshavamurthy, S Dixon, KT Pazdernik, LE Charles - One Health, 2022 - Elsevier
The complex, unpredictable nature of pathogen occurrence has required substantial efforts
to accurately predict infectious diseases (IDs). With rising popularity of Machine Learning …

Covid-19 outbreak prediction with machine learning

SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand… - Algorithms, 2020 - mdpi.com
Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …

[HTML][HTML] Deep learning model for forecasting COVID-19 outbreak in Egypt

M Marzouk, N Elshaboury, A Abdel-Latif… - Process Safety and …, 2021 - Elsevier
Abstract The World Health Organization has declared COVID-19 as a global pandemic in
early 2020. A comprehensive understanding of the epidemiological characteristics of this …

Applications of machine learning approaches to combat COVID-19: a survey

S Tiwari, O Dogan, MA Jabbar, SK Shandilya… - Lessons from COVID …, 2022 - Elsevier
Abstract Machine learning (ML) and artificial intelligence (AI) approaches are prominent and
well established in the field of health-care informatics. Because they have a more productive …

Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study

M Tavakoli, R Tavakkoli-Moghaddam… - Medical & biological …, 2022 - Springer
COVID-19 looks to be the worst pandemic disease in the last decades due to its number of
infected people, deaths, and the staggering demand for healthcare services, especially …

Machine learning-based diffusion model for prediction of coronavirus-19 outbreak

S Raheja, S Kasturia, X Cheng, M Kumar - Neural Computing and …, 2023 - Springer
The coronavirus pandemic has been globally impacting the health and prosperity of people.
A persistent increase in the number of positive cases has boost the stress among …

AI in global health: the view from the front lines

A Ismail, N Kumar - Proceedings of the 2021 CHI Conference on Human …, 2021 - dl.acm.org
There has been growing interest in the application of AI for Social Good, motivated by scarce
and unequal resources globally. We focus on the case of AI in frontline health, a Social …

A bidirectional long short-term memory model algorithm for predicting COVID-19 in gulf countries

THH Aldhyani, H Alkahtani - Life, 2021 - mdpi.com
Accurate prediction models have become the first goal for aiding pandemic-related
decisions. Modeling and predicting the number of new active cases and deaths are …

A review on predictive systems and data models for covid-19

FN Khan, AA Khanam, A Ramlal, S Ahmad - … intelligence methods in …, 2021 - Springer
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or novel
Coronavirus, responsible for the transmission of Coronavirus disease (COVID-19) …

[HTML][HTML] Using a sharing-platform to prevent a new outbreak of COVID-19 pandemic in rural areas

VG Shcherbak, I Gryshchenko… - Global Journal of …, 2021 - gjesm.net
BACKGROUND AND OBJECTIVES: A new wave of Covid-19 pandemic has worsened the
epidemiological situation in Ukraine. This caused the need to tighten quarantine measures …