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+34 946 567 842
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+34 946 567 842
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vsteindorf@bcamath.org
Information of interest
- Orcid: 0000-0002-0707-9511
Postdoc Fellow at BCAM.
I am a mathematician with a Ph. D. in Applied Mathematics, having wide experience in teaching and mathematical modelling. My academic background is in Biomathematics, with emphasis on Epidemiology.
My research interest is to proposed, develop and analyze mathematical models, to study the propagation of infectious diseases.
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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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Symmetry in a multi-strain epidemiological model with distributed delay as a general cross-protection period and disease enhancement factor
Steindorf, V.; Oliva, S.; Stollenwerk, N.; Aguiar, M. (2024-01)
Important biological features of viral infectious diseases caused by multiple agents with interacting strain dynamics continue to pose challenges for mathematical modelling development. Motivated by dengue fever epidemiology, ...
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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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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 secondary infections with temporary immunity and disease enhancement factor: Mechanisms for complex dynamics in simple epidemiological models
Steindorf, V.; Srivastav, A. K.; Stollenwerk, N.; Kooi, B. W.; Aguiar, M. (2022-10-04)
Modeling insights for epidemiological scenarios characterized by chaotic dynamics have been largely unexplored. A rigorous analysis of such systems are essential for a real predictive power and a more accurate disease ...
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Mathematical models for dengue fever epidemiology: a 10-year systematic review
Aguiar, M.; Anam, V.; Blyuss, K.; Estadilla, C. D. S.; Guerrero, B.; Knopoff, D.A.; Kooi, B. W.; Srivastav, A. K.; Steindorf, V.; Stollenwerk, N. (2022-02-15)
Mathematical models have a long history in epidemiological research, and as the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological ...
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Cross immunity protection and antibody-dependent enhancement in a distributed delay dynamic model
Steindorf, V.; Oliva, S.; Wu, J. (2022-01-01)
Dengue fever is endemic in tropical and subtropical countries, and certain important features of the spread of dengue fever continue to pose challenges for mathematical modelling. Here we propose a system of integro-differential ...