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+34 946 567 842
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+34 946 567 842
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asrivastav@bcamath.org
Information of interest
- Orcid: 0000-0003-3786-9159
I am a trained mathematician who received my Master of Philosophy and Doctor of Philosophy degrees in Applied Mathematics from the School of Advanced Sciences, Vellore Institute of Technology, India. During my M.Phil and Ph.D., I worked on infectious disease modeling, such as vector-borne diseases and influenza. My current focus is on Covid-19 Modeling and Dengue Disease, as well as developing a good model, analyzing data with the model, and discussing control interventions (Optimal Control). My research interests include vector-borne disease mathematical modeling, Covid-19, infectious disease dynamics, mathematical modeling of social problems, non-linear dynamics, optimal control, and complex networks.
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Beyond the biting - limited impact of explicit mosquito dynamics in dengue models
Steindorf, V.
; Srivastav, A.K.; Kooi, B.W.; Stollenwerk, N.; Aguiar, M. (2024-10-01)
Mathematical models play a crucial role in assisting public health authorities in timely disease control decision-making. For vector-borne diseases, integrating host and vector dynamics into models can be highly complex, ...
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Complex Network Approaches for Epidemic Modeling: A Case Study of COVID-19
Srivastav, A.K.; Anam, V.; Blasco-Aguado, R.; Estadilla, C.D.; Guerrero, B.V.; Kebir, A.; Mateus, L.; Naffeti, B.; Saldaña, F.; Steindorf, V.; Stollenwerk, N. (2024-03-01)
Since the SARS-CoV-2 outbreak, the importance of mathematical modeling as a tool for comprehending disease dynamics has been highlighted, with several mathematical modeling techniques being applied and developed to simulate ...
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Within-host models unravelling the dynamics of dengue reinfections
Anam, V.; Guerrero, B.V.; Srivastav, A.K.; Stollenwerk, N.; Aguiar, M. (2024-02-07)
Caused by four serotypes, dengue fever is a major public health concern worldwide. Current modeling efforts have mostly focused on primary and heterologous secondary infections, assuming that lifelong immunity prevents ...
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Prescriptive, descriptive or predictive models: What approach should be taken when empirical data is limited? Reply to comments on “Mathematical models for Dengue fever epidemiology: A 10-year systematic review”
Aguiar, M.; Anam, V.; Blyuss, K.; Estadilla, C.D.; Guerrero, B.V.; Knopoff, D.A.; Kooi, B.W.; Mateus, L.; Srivastav, A.K.; Steindorf, V.; Stollenwerk, N. (2023-09-01)
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The effects of public health measures on severe dengue cases: An optimal control approach
Srivastav, A.K.; Steindarf, V.; Stollenwerk, N.; Aguiar, M. (2023-07)
Dengue fever is the most important viral mosquito-borne disease worldwide, with approximately 3.9 billion people at risk of acquiring dengue infection. Measures against mosquito bite combined with vector control programs ...
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Optimal vaccine allocation for the control of sexually transmitted infections
Saldaña, F.; Steindorf, V.; Srivastav, A.K.; Stollenwerk, N.; Aguiar, M. (2023-04-15)
The burden of sexually transmitted infections (STIs) poses a challenge due to its large negative impact on sexual and reproductive health worldwide. Besides simple prevention measures and available treatment efforts, ...
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Modeling and optimal control of dengue disease with screening and information
Srivastav, A.K.; Kumar, A.; Srivastava, P.K.; Ghosh, M. (2021-11-27)
This study presents a mathematical model for dengue transmission which quantifies two very important aspects: one, the impact of information-based behavioural response, and the other, the segregation of infected human ...