Carmen Alicia Ramírez Bernate

Dr. Carmen Alicia Ramírez Bernate

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 September 2023 in Journal of Applied Mathematics and Computing
Verified
Journal Article
Closed access
PDF file
MGMiller Ceron Gomez
Miller Ceron Gomez
EMEduardo Ibarguen Mondragón
Eduardo Ibarguen Mondragón
CBCarmen Alicia Ramírez Bernate
Carmen Alicia Ramírez Bernate

3 July 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
EBEdwin Barrios-Rivera
Edwin Barrios-Rivera
Daiver Cardona-SalgadoDaiver Cardona-Salgado
Daiver Cardona-Salgado
IDIlya Dikariev
Ilya Dikariev
CBCarmen Alicia Ramírez Bernate
Carmen Alicia Ramírez Bernate
OVOLGA VASILIEVA
OLGA VASILIEVA
MSMikhail Svinin
Mikhail Svinin
This study presents a mathematical modeling framework to analyze the impact of integrating sterilizing treatment into tuberculosis (TB) control strategies, particularly in resource-limited settings. Our findings highlight that while sterilizing treatment alone is highly effective in reducing TB incidence and mortality, its widespread implementation requires significant financial investment. The optimal control approach demonstrates that a mixed strategy, combining sterilizing and non-sterilizing treatments, can achieve comparable public health benefits at a lower cost, especially in the medium-term planning. From a long-term perspective, however, our results suggest that exclusively sterilizing treatment ultimately leads to greater reductions in TB incidence, prevalence, and mortality, justifying its higher initial cost. This is primarily due to the ability of sterilizing drugs to eliminate latent TB infections, prevent future active infections and disease-induced deaths, and avoid a considerable number of treatments. Additionally, under scenarios where the cost of sterilizing drugs decreases over time, a swift transition to a solely sterilizing treatment could result in both epidemiological and economic advantages for healthcare systems.

20 October 2026 in Mathematics
Verified
Journal Article
Open access
PDF file
EBEdwin Barrios-Rivera
Edwin Barrios-Rivera
Daiver Cardona-SalgadoDaiver Cardona-Salgado
Daiver Cardona-Salgado
IDIlya Dikariev
Ilya Dikariev
CBCarmen Alicia Ramírez Bernate
Carmen Alicia Ramírez Bernate
OVOLGA VASILIEVA
OLGA VASILIEVA
MSMikhail Svinin
Mikhail Svinin
This study presents a mathematical modeling framework to analyze the impact of integrating sterilizing treatment into tuberculosis (TB) control strategies, particularly in resource-limited settings. The numerical analysis of the proposed mathematical framework indicates that while sterilizing treatment alone is highly effective in reducing TB incidence and mortality, its widespread implementation requires significant financial investment. The optimal control approach demonstrates that a mixed strategy, combining sterilizing and non-sterilizing treatments, can achieve comparable public health benefits at a lower cost, especially in medium-term planning. From a long-term perspective, however, our results suggest that exclusively sterilizing treatment ultimately leads to greater reductions in TB incidence, prevalence, and mortality, justifying its higher initial cost. This is primarily due to the ability of sterilizing drugs to eliminate latent TB infections, prevent future active infections and disease-induced deaths, and avoid a considerable number of treatments. Additionally, under scenarios where the cost of sterilizing drugs decreases over time, a swift transition to a solely sterilizing treatment could result in both epidemiological and economic advantages for healthcare systems.