payam amini - Epidemiology

Author Information

Payam Amini is affiliated with the Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. He has made significant contributions in the fields of epidemiology and biostatistics, particularly focusing on the application of advanced statistical methods to public health issues.

Research Contributions

Payam Amini has authored numerous research papers spanning various topics within epidemiology and public health. His recent works from 2021 and 2022 include studies on machine learning applications in evaluating measles incidence rates, the efficacy and safety of intravitreal faricimab in treating eye conditions, and various aspects of COVID-19 research such as risk factors for hospitalization, para-clinical features, and mortality rates. He has also delved into methodological advancements, such as the application of multivariate generalized linear mixed models and Bayesian structural time series, to better understand and predict health outcomes.

Aliases

Payam Amini is also known by the alias "P Amini," and his works may be referenced under either name in academic citations.

Publication and Citation Metrics

Metric	Value
Citation Count	1665
h-index	23
Paper Count	132

Publications:

Evaluating Measles Incidence Rates Using Machine Learning and Time Series Methods in the Center of Iran, 1997-2020

DOI: 10.18502/ijph.v51i4.9252

Year: 2022

Efficacy, durability, and safety of intravitreal faricimab up to every 16 weeks for neovascular age-related macular degeneration (TENAYA and LUCERNE): two randomised, double-masked, phase 3, non-inferiority trials

DOI: 10.1016/S0140-6736(22)00010-1

Year: 2022

Efficacy, durability, and safety of intravitreal faricimab with extended dosing up to every 16 weeks in patients with diabetic macular oedema (YOSEMITE and RHINE): two randomised, double-masked, phase 3 trials

DOI: 10.1016/S0140-6736(22)00018-6

Year: 2022

Application of Multivariate Generalized Linear Mixed Model to Identify Effect of Dialysate Temperature on Physiologic Indicators among Hemodialysis Patients

DOI: 10.18502/jbe.v7i3.7298

Year: 2021

Multiple sclerosis projection in Tehran, Iran using Bayesian structural time series

DOI: 10.1186/s12883-021-02281-x

Year: 2021

The Deadly Nature of the Virus Depression: Iranian Medical Staff Battling COVID-19

DOI: 10.18502/jebhpme.v5i4.8158

Year: 2021

Para-clinical and Epidemiological Features of COVID-19 in Deceased Patients: A Comparison with Treated Patients

DOI: 10.5812/JJCDC.112390

Year: 2021

Longitudinal Joint Modelling of Ordinal and Overdispersed Count Outcomes: A Bridge Distribution for the Ordinal Random Intercept

DOI: 10.1155/2021/5521881

Year: 2021

Potential Risk Factors for Length of Hospitalization in COVID-19 Patients: A Cross-sectional Study

DOI: 10.5812/jhealthscope.115575

Year: 2021

Assessing Sex Differential in COVID-19 Mortality Rate by Age and Polymerase Chain Reaction Test Results; An Iranian Multi-Center Study

DOI: 10.21203/RS.3.RS-309181/V1

Year: 2021

What are the Common Water Sources?

What Challenges Does the Human Genome Project Present?

How is Real-World Data Utilized?

Why is Sparse Data a Concern in Epidemiology?

What Are the Implications of Public Mistrust?

How Do Digital Tools Enhance Epidemiological Research?

Why is User Satisfaction Important?

How to Measure the Dependent Variable?

What causes variability in treatment outcomes?

What are the Best Practices for Cybersecurity in Epidemiology?

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