ArticleAIMS public health2021
A comparative study of SIR Model, Linear Regression, Logistic Function and ARIMA Model for forecasting COVID-19 cases.
Article in AIMS public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The relation between obesity and breast cancer risk in women by considering menstruation status and geographical variations: a systematic review and meta-analysis.BMC women's health · 2023Pooled it
- Global burden of ovarian cancer attributable to high BMI, 1990-2021: spatiotemporal trends, risk factors, frontier analysis, and projections to 2036 based on GBD 2021 study.Journal of ovarian research · 2025Article
- Mapping Incidence and Prevalence Peak Data for SIR Modeling Applications.Journal of mathematical biology · 2025Article
- Penetration of SARS-CoV-2 Alpha, Delta, and Omicron variants in the United States.Epidemiology and infection · 2025Article
- StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models.PloS one · 2025Article
- Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic.World journal of clinical cases · 2023Review
- A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada.Scientific reports · 2023Article
- A new hybrid prediction model of COVID-19 daily new case data.Engineering applications of artificial intelligence · 2023Article
- Hybrid prediction of infections and deaths due to COVID-19 in two Colombian data series.PloS one · 2023Article
- The Relationship Between Population-Level SARS-CoV-2 Cycle Threshold Values and Trend of COVID-19 Infection: Longitudinal Study.JMIR public health and surveillance · 2022Article
- The Impact of COVID-19 on Mortality in Italy: Retrospective Analysis of Epidemiological Trends.JMIR public health and surveillance · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Starting February 2020, COVID-19 was confirmed in 11,946 people worldwide, with a mortality rate of almost 2%. A significant number of epidemic diseases consisting of human Coronavirus display patterns. In this study, with the benefit of data analytic, we develop regression models and a Susceptible-Infected-Recovered (SIR) model for the contagion to compare the performance of models to predict the number of cases. First, we implement a good understanding of data and perform Exploratory Data Analysis (EDA). Then, we derive parameters of the model from the available data corresponding to the top 4 regions based on the history of infections and the most infected people as of the end of August 2020. Then models are compared, and we recommend further research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.