Md Rafiul Islam
Biographic Data
| ID | 7921286 |
|---|---|
| NAME | Md Rafiul Islam |
| GIVEN NAMES | Md Rafiul |
| FAMILY NAME | Islam |
| SIGNATURE | ISLAM M R |
| AFFILIATIONS | Texas Tech University |
| ORCID | 0000-0002-6931-1179 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Demographic and other correlates of non-prescription drug use among college students during the Covid-19 pandemic
Background and objectives Substance use among college students in the U.S. remains a pressing concern and may have intensified during the COVID-19 pandemic due to increased stress, uncertainty, and academic disruptions. This study investigates the relationship between non-prescription drug use and various demographic, mental health, and behavioral factors among college students during the pandemic's early stages. Methods Data were collected throu…
Integer Versus Fractional Order Seir Deterministic and Stochastic Models of Measles
In this paper, we compare the performance between systems of ordinary and (Caputo) fractional differential equations depicting the susceptible-exposed-infectious-recovered (SEIR) models of diseases. In order to understand the origins of both approaches as mean-field approximations of integer and fractional stochastic processes, we introduce the fractional differential equations (FDEs) as approximations of some type of fractional nonlinear birth a…
No prominent works on this page.
Integer Versus Fractional Order Seir Deterministic and Stochastic Models of Measles
In this paper, we compare the performance between systems of ordinary and (Caputo) fractional differential equations depicting the susceptible-exposed-infectious-recovered (SEIR) models of diseases. In order to understand the origins of both approaches as mean-field approximations of integer and fractional stochastic processes, we introduce the fractional differential equations (FDEs) as approximations of some type of fractional nonlinear birth a…
Demographic and other correlates of non-prescription drug use among college students during the Covid-19 pandemic
Background and objectives Substance use among college students in the U.S. remains a pressing concern and may have intensified during the COVID-19 pandemic due to increased stress, uncertainty, and academic disruptions. This study investigates the relationship between non-prescription drug use and various demographic, mental health, and behavioral factors among college students during the pandemic's early stages. Methods Data were collected throu…
Applied Mathematics (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 epidemiological studies (1 work) · Differential equation (1 work) · Drug (1 work) · Epidemic model (1 work) · Fractional Differential Equations Solutions (1 work) · Illicit drug (1 work) · Integer (computer science (1 work)