Delhi Technological University - India
AUTHOR PROFILE
EARLY ACADEMIC PURSUITS
Abhay Srivastava embarked on his academic journey with a strong foundation in Mathematics at SGN Govt. P.G. College, M.bad Gohna- Mau, VBSPU Jaunpur. He earned his Bachelor's degree (B.Sc.) with First Division in 2015 and continued his studies to obtain a Master's degree (M.Sc.) in Mathematics in 2017, also with First Division. His academic excellence was further highlighted by qualifying in prestigious national exams like IIT-JAM and GATE.
PROFESSIONAL ENDEAVORS
Srivastava's professional journey took a significant turn when he joined as a Project Fellow (JRF) in a research project funded by DST-SERB under the EMEQ Scheme. His research focused on the Dynamics of Mathematical Epidemic Models for the spread of infectious diseases with media awareness, impulsive vaccination, quarantine, and isolation. This experience laid the foundation for his Ph.D. pursuit at Delhi Technological University, New Delhi, where he continues to delve deeper into the realm of mathematical modeling of infectious diseases.
CONTRIBUTIONS AND RESEARCH FOCUS
Abhay Srivastava's research contributions are evident from his two published research papers. The first paper proposes a novel media-induced response function to analyze the dynamics of a stage-structured SI model for food adulteration. This work highlights the impact of media awareness on behavioral changes in population dynamics, particularly concerning food safety issues.
The second paper focuses on the development of a fractional-order SEIQR epidemic model, incorporating quarantined individuals and psychological effects on susceptibles. This study provides insights into disease transmission dynamics and emphasizes the effectiveness of timely quarantining and psychological interventions. It also introduces an optimal control framework, underscoring the role of information in shaping population responses during epidemics.
IMPACT AND INFLUENCE
Srivastava's research in mathematical modeling of infectious diseases has the potential to significantly impact public health policies and epidemic management strategies. By providing insights into the dynamics of disease transmission and the effectiveness of control measures, his work contributes to the development of more robust and efficient healthcare interventions.
ACADEMIC CITATIONS
The research papers authored by Abhay Srivastava have garnered attention within the academic community and have been cited by fellow researchers and scholars. Their relevance in addressing critical issues in public health and epidemiology further enhances their academic impact.
LEGACY AND FUTURE CONTRIBUTIONS
Abhay Srivastava's legacy in the field of mathematical modeling of infectious diseases is characterized by his dedication to advancing scientific knowledge and addressing real-world challenges. His future contributions are poised to further enrich our understanding of disease dynamics and inform the development of effective intervention strategies, ultimately contributing to the improvement of global health outcomes.
NOTABLE PUBLICATION
Optimal control of a fractional order SEIQR epidemic model with non-monotonic incidence and quarantine class 2024
Dynamics of a stage-structured SI model for food adulteration with media-induced response function 2021 (9)