Skip to content
Research Article Open access CC BY 4.0

Challenges for Mathematical Modeling of Multidrug-resistant Tuberculosis in Sub-Saharan Africa

Ebube Henry Anozie, Oluwabusola Oluwakorede Asenuga, James Ponman Sargwak, Emmanuel Chimeh Ezeako, Ifeoma Roseline Nwafor, Yusuf Alhassan, Udoh Joseph Ifeanyi, Eberechukwu Osinachi Azubuike, Chibuzo Valentine Nwokafor

Asian Journal of Advanced Research and Reports · pp. 90–97 · Published 1 Sep 2024

10.9734/ajarr/2024/v18i9737

Abstract

Background: In sub-Saharan Africa, where there are inadequate diagnostic and reporting facilities, limited data availability hinders the accurate estimation of key parameters in mathematical models of multi-drug-resistant tuberculosis. Furthermore, gaps in knowledge about multi-drug-resistant tuberculosis (MDR-TB) dynamics add another layer of complexity to these modeling efforts. Methods: We analyzed databases such as google scholar, PubMed, scopus, Web of Science etc, using relevant keywords to identify relevant articles on challenges for mathematical modeling of multi-drug-resistant tuberculosis in sub–Saharan Africa covering the period from 2010 to the present. Results: This review highlights the epidemiology of multidrug resistant tuberculosis in sub–Saharan Africa and the limitations in mathematical modeling of multi-drug-resistant tuberculosis (MDR-TB) in the region. Conclusion: Accurate diagnosis and reliable data are crucial barriers to effective modeling. The review also underscores the potential of machine learning techniques to improve data quality and address issues related to incomplete data, suggesting that these methods could become essential components of future mathematical models.

Mathematical modeling tuberculosis multidrug-resistant tuberculosis sub-Saharan Africa

References (23)

  1. 1 Global tuberculosis report (2014)
  2. 2 An Introduction to Mathematical Epidemiology [DOI]
  3. 3 Dynamics of infectious diseases [DOI]
  4. 4 Determination of an optimal control strategy for vaccine administration in COVID-19 pandemic treatment [DOI]
  5. 5 Diagnosis and treatment of multidrug-resistant tuberculosis [DOI]
  6. 6 Global burden of disease due to rifampicin-resistant tuberculosis: a mathematical modeling analysis [DOI]
  7. 7 Impact of enhanced tuberculosis diagnosis in South Africa: A mathematical model of expanded culture and drug susceptibility testing [DOI]
  8. 8 A tale of two global emergencies: tuberculosis control efforts can learn from the Ebola outbreak [DOI]
  9. 9 Drug resistant tuberculosis in Africa: Current status, gaps and opportunities [DOI]
  10. 10 A meta-analysis of Drug resistant Tuberculosis in Sub-Saharan Africa: How Strongly Associated with previous Treatment and HIV Co-infection? [DOI]
  11. 11 Trends in prevalence of multi drug resistant tuberculosis in sub-Saharan Africa: A systematic review and meta-analysis [DOI]
  12. 12 A Mathematical Model of Tuberculosis with Drug Resistance Effects [DOI]
  13. 13 Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advances [DOI]
  14. 14 Multidrug-resistant tuberculosis: latest opinions on epidemiology, rapid diagnosis and management [DOI]
  15. 15 Rifampicin and isoniazid drug resistance among patients diagnosed with pulmonary tuberculosis in southwestern Uganda [DOI]
  16. 16 Unfavorable outcomes to second-line tuberculosis therapy among HIV-infected versus HIV-uninfected patients in sub-Saharan Africa: A systematic review and meta-analysis [DOI]
  17. 17 Projecting the impact of variable MDR-TB transmission efficiency on long-term epidemic trends in South Africa and Vietnam [DOI]
  18. 18 Mathematical Modeling for Epidemiology and Ecology [DOI]
  19. 19 Multidrug resistant tuberculosis (MDR-TB) in emerging economies in Sub-Saharan Africa: clinicians’ public health concerns [DOI]
  20. 20 Cost-Effectiveness Analysis of the Optimal Control Strategies for Multidrug-Resistant Tuberculosis Transmission in Ethiopia [DOI]
  21. 21 Modeling Time to Death of Patients with Multidrug-Resistant Tuberculosis at Saint Peter’s Specialized Hospital [DOI]
  22. 22 Mathematical analysis of a drug resistance in a tuberculosis transmission model [DOI]
  23. 23 New definitions of pre-extensively and extensively drug-resistant tuberculosis: update from the World Health Organization [DOI]

Cited by 1

Mathematical analysis of the SEIRD model for the spread of tuberculosis in Bangladesh

S. Rahman, Ritu Mondal, S. Santa · International Journal of Advances in Applied Sciences · 2025

Related research

Article metrics

Real usage data collected on this platform.

65

Page views

0

PDF downloads

10

Outbound clicks

1

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.