Match tier Likely match
Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Saina Abolmaali

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

Also affiliated: University of Rochester Medicine (2025); Yale University (2025); Department of Health (2025); Auburn University (2020–2024)

Unknown Researcher

4 h-index 6 pubs 99 cited

Biography and Research Information

OverviewAI-generated summary

Saina Abolmaali's research has focused on the application of statistical and machine learning models for forecasting infectious disease cases, particularly for COVID-19. Her work includes comparative analyses of various models such as SIR, Linear Regression, Logistic Function, ARIMA, SARIMA, and Recurrent Neural Networks (RNNs), often employing grid search optimization techniques to enhance prediction accuracy. She has investigated methods for improving COVID-19 case forecasting in the United States. Abolmaali also has research interests in substance use and its intersection with HIV risk, specifically examining vulnerabilities among refugee populations. Her scholarly contributions include six publications, with an h-index of 4 and a total of 99 citations. She has collaborated with researchers from the University of Central Arkansas, including Samira Shirzaei Nichols and A. Adams.

Metrics

  • h-index: 4
  • Publications: 6
  • Citations: 99

Selected Publications

  • Substance Use and HIV Risk in a Syndemic Context: Vulnerabilities Among African Refugee Sex Workers in Italy (2025)
    Research Square 3 citations DOI OpenAlex

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Collaboration Network

7 Collaborators 4 Institutions 2 Countries

Top Collaborators

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