Samira Shirzaei

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

University of Central Arkansas

Also affiliated: Conway School of Landscape Design (2021); Auburn University (2018–2021)

Unknown Researcher

3 h-index 7 pubs 64 cited

Research Areas

Links

Research Group

OverviewAI-generated summary

Samira Shirzaei's research focuses on the application of statistical and machine learning models for forecasting and analyzing health-related data, with a significant emphasis on COVID-19. Her work includes comparative studies of models such as SIR, Linear Regression, Logistic Function, and ARIMA for predicting disease transmission. Shirzaei has investigated the use of ARIMA and SARIMA models with grid search for forecasting COVID-19 cases in the United States. Additionally, her research has explored the relationship between public interest in "COVID vaccine" as indicated by Google searches and subsequent increases in anxiety and depression rates within the U.S. She has also contributed to research on quality control methods, specifically examining S2 or S charts for subgroups with varying sample sizes and their average run lengths. Shirzaei has collaborated with Saina Abolmaali on two publications.

Metrics

h-index: 3
Publications: 7
Citations: 64

Selected Publications

"COVID vaccine" Google searches predict increases in percent anxiety and depression within the United States (2022)

Minerva Psychiatry 1 citation DOI OpenAlex
A comparative study of SIR Model, Linear Regression, Logistic Function and ARIMA Model for forecasting COVID-19 cases (2021)

AIMS Public Health 39 citations DOI OpenAlex