Published April 27, 2026 | Version v2
Patent Open

PATENT PUBLICATION 1242239: A COMPARTMENTAL MODELING APPROACH TO VISCERAL LEISHMANIASIS: TRANSMISSION DYNAMICS, HOST--VECTOR INTERACTIONS, AND CONTROL STRATEGIES

Authors/Creators

  • 1. College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
  • 2. Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
  • 3. (Principal Investigator Inventor), Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
  • 4. (Co-Principal Investigator Inventor), Department of Mathematical Science, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
  • 5. Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
  • 6. Department of Mathematical Science, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
  • 7. (Participating Inventor), Tropical Medicine Research Institute, Khartoum, Sudan.

Description

  • Patent Number: 1242239

  • Date of Registration: 05 December 2025

  • Date of Grant: 15 February 2026

  • Patent Title: A COMPARTMENTAL MODELING APPROACH TO VISCERAL LEISHMANIASIS: TRANSMISSION DYNAMICS, HOST--VECTOR INTERACTIONS, AND CONTROL STRATEGIES

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Series information (English)

EN Patent 1242239 Filling Production Summary
Title: Compartmental Modeling System for Visceral Leishmaniasis Transmission and Control
1242239
Technical Field
This invention relates to epidemiological modeling, infectious disease forecasting, and public health decision-support systems, specifically for vector-borne diseases such as visceral leishmaniasis (VL).
Background
Visceral leishmaniasis is a life-threatening parasitic disease transmitted between humans, animal reservoirs, and sandfly vectors. Traditional surveillance methods often fail to predict outbreaks accurately due to the complex multi-host transmission cycle and the role of asymptomatic carriers.
Summary of the Invention
The invention provides a deterministic compartmental mathematical modeling system designed to simulate, analyze, and forecast the transmission dynamics of visceral leishmaniasis. The system integrates:
 Multi-host transmission modeling (humans, animals, sandflies)
 Stage-structured human infection compartments (susceptible, exposed, asymptomatic, symptomatic, treated, recovered, PKDL)
 Animal reservoir infection dynamics
 Vector life-cycle compartments including susceptible, exposed, and infectious sandflies
 Host–vector interaction parameters, including biting rate and transmission probabilities
Core Innovations
1. Integrated multi-population disease model capturing human, animal, and vector interactions
2. Inclusion of PKDL and asymptomatic carriers as transmission reservoirs
3. Coupling of epidemiological ODE models with regression-based forecasting tools
4. Backward bifurcation and R₀ analytical framework to assess disease persistence even when transmission thresholds are low
5. Embedded cost-effectiveness evaluation module for comparing intervention strategies
Intervention Simulation Capability
The system enables simulation of:
 Adult vector control (e.g., insecticide spraying)
 Immature vector control (larval stage reduction)
 Human treatment strategies
 Combined integrated control programs
Outputs
The model produces:
 Disease prevalence forecasts
 Outbreak trajectory predictions
 Sensitivity analysis of transmission parameters
 Cost per case averted for public health strategies
Industrial & Public Health Applications
This system can be implemented in:
 National disease surveillance programs
 Public health planning tools
 Vector control strategy design
 Epidemiological research platforms
 AI-assisted outbreak early warning systems

Notes (French)

🇫🇷 Résumé de Production pour Dépôt de Brevet (Français)
Titre : Système de modélisation compartimentale pour la transmission et le contrôle de la leishmaniose viscérale 1242239
Domaine technique
La présente invention concerne la modélisation épidémiologique, la prévision des maladies infectieuses et les systèmes d’aide à la décision en santé publique, en particulier pour les maladies vectorielles telles que la leishmaniose viscérale.
Contexte
La leishmaniose viscérale est une maladie parasitaire grave transmise entre l’être humain, les réservoirs animaux et les phlébotomes (mouches des sables). Les méthodes classiques de surveillance ne permettent pas toujours de prévoir efficacement les épidémies en raison de la complexité du cycle de transmission multi-hôtes et du rôle des porteurs asymptomatiques.
Résumé de l’invention
L’invention propose un système mathématique déterministe de modélisation compartimentale permettant de simuler, analyser et prévoir la dynamique de transmission de la leishmaniose viscérale. Le système intègre :
 Une modélisation multi-populations (humains, animaux, vecteurs)
 Des compartiments d’infection humaine structurés par stade (susceptible, exposé, asymptomatique, symptomatique, traité, guéri, PKDL)
 La dynamique d’infection des réservoirs animaux
 Les compartiments du cycle de vie des vecteurs (susceptibles, exposés, infectieux)
 Les paramètres d’interaction hôte–vecteur (taux de piqûre, probabilités de transmission)
Innovations principales
1. Modèle intégré multi-hôtes reliant humains, animaux et vecteurs
2. Intégration des cas PKDL et asymptomatiques comme réservoirs de transmission
3. Couplage de modèles épidémiologiques par EDO avec des outils de prévision statistique
4. Analyse du nombre de reproduction R₀ et bifurcation rétrograde
5. Module d’analyse coût-efficacité intégré pour comparer les stratégies d’intervention
Simulation des interventions
Le système permet de simuler :
 Le contrôle des vecteurs adultes
 Le contrôle des vecteurs immatures
 Les stratégies de traitement humain
 Les programmes intégrés de contrôle
Résultats fournis
Le modèle génère :
 Des prévisions de prévalence
 Des projections d’épidémie
 Des analyses de sensibilité des paramètres
 Le coût par cas évité pour les stratégies de santé publique
Applications industrielles et sanitaires
Cette invention peut être utilisée dans :
 Les programmes nationaux de surveillance des maladies
 Les outils de planification sanitaire
 Les stratégies de lutte antivectorielle
 La recherche épidémiologique
 Les systèmes d’alerte précoce assistés par IA

Files

1242239 Original Research paper patent.pdf

Files (3.6 MB)

Additional details

Additional titles

Subtitle (English)
https://www.ic.gc.ca/app/opic-cipo/cpyrghts/srch.do?page=1&textField1=1242239&column1=COP_REG_NUM&submitButton=Search&andOr1=and&textField2=&column2=TITLE&andOr2=and&textField3=&column3=TITLE&type=&dateStart=&dateEnd=&sortSpec=&maxDocCount=200&docsPerPage=10
Alternative title (French)
Canadian Intellectual Property Office (CIPO) database1242239

Software

Repository URL
https://www.ic.gc.ca/app/opic-cipo/cpyrghts/srch.do?page=1&textField1=1242239&column1=COP_REG_NUM&submitButton=Search&andOr1=and&textField2=&column2=TITLE&andOr2=and&textField3=&column3=TITLE&type=&dateStart=&dateEnd=&sortSpec=&maxDocCount=200&docsPerPage=10
Programming language
Mathematica , MATLAB
Development Status
Active

References

  • [1] Understanding Visceral Leishmaniasis Disease Transmission and its Control—A Study Based on Mathematical Modeling
  • [2] Modeling the seasonal and climate-dependent dynamics of visceral leishmaniasis in Brazil: Implications for transmission and Control
  • [3] Lulu, H., Yanfeng, G., Zhengbin, Z., Jingshu, L., Peijun, Z., & Shizhu, L. (2026). Epidemiological transition and spatial expansion of Mountain-Type Zoonotic visceral leishmaniasis — China, 2010–2024. China CDC Weekly, 8(5), 103–108. https://doi.org/10.46234/ccdcw2026.017
  • [4] Wang, X., Xia, S., Xue, J., Zhou, Z., Li, Y., Zhu, Z., Zhang, Y., Wang, Q., & Li, S. (2022). Transmission risks of Mountain-Type Zoonotic visceral leishmaniasis — Six Endemic Provincial-Level Administrative Divisions, China, 2015–2020. China CDC Weekly, 4(8), 148–152. https://doi.org/10.46234/ccdcw2022.029
  • [5] Stauch A., Duerr H., Dujardin J., Vanaerschot M., Sundar S., Eichner M. Treatment of visceral leishmaniasis: model-based analyses on the spread of antimony-resistant L. donovani in Bihar, India. PLOS Negl Trop Dis 2012; 6(12):e1973. doi: 10.1371/journal.pntd.0001973 PMID: 23285309
  • [6] Rock K. S., le Rutte E. A., de Vlas S. J., Adams E. R., Medley G. F., Hollingsworth T. D. Uniting mathematics and biology for control of visceral leishmaniasis. Trends Parasitol. 2015; 31(6):251–259. doi: 10. 1016/j.pt.2015.03.007 PMID: 25913079
  • [7] Coleman M., Foster G. M., Deb R., Singh R. P., Ismail H. M., Shivam P.,et al. DDT-based indoor residual spraying suboptimal for visceral leishmaniasis elimination in India. Proc Natl Acad Sci U.S.A. 2015; 112(28):8573–8578. doi: 10.1073/pnas.1507782112 PMID: 26124110
  • [8] Chowdhury R., Dotson E., Blackstock A.J., McClintock S., Maheswary N.P., Faria S., et al. Comparison of insecticide-treated nets and indoor residual spraying to control the vector of visceral leishmaniasis in Mymensingh District, Bangladesh. Am J Trop Med Hyg. 2011; 84(5):662–667. doi: 10.4269/ajtmh. 2011.10-0682 PMID: 21540372
  • [9] Chappuis F., Sundar S., Hailu A., Ghalib H., Rijal S., Peeling R.W., et al. Visceral leishmaniasis: what are the needs for diagnosis, treatment and control?. Nat Rev Mirocbiol. 2007; 5(11):873–882
  • [10] ELmojtaba I., Mugisha J., Hashim M. Mathematical analysis of the dynamics of visceral leishmaniasis in the Sudan. Appl Math Comp. 2010; 217(6):2567–2578. doi: 10.1016/j.amc.2010.07.069
  • [11] Subramanian A., Singh V., Sarkar R. R. Understanding Visceral Leishmaniasis Disease Transmission and its Control- A Study Based on Mathematical Modeling. Mathematics. 2015; 3:913–944. doi: 10. 3390/math3030913
  • [12] Abubakar A., Ruiz-Postigo J. A., Pita J., Lado M., Ben-Ismail R., Argaw D. et al. Visceral leishmaniasis outbreak in South Sudan 2009–2012: epidemiological assessment and impact of a multisectoral response. PLoS Negl Trop Dis. 2014; 8(3):e2720. doi: 10.1371/journal.pntd.0002720 PMID: 24675573
  • [13] Sardar T., Biswas S. and Chattopadhyay J. Global analysis of a periodic epidemic model on cholera in presence of bacteriophage. Mathematical Methods in the Applied Sciences. 2016;. doi: 10.1002/mma. 3855
  • [14] ELmojtaba, I.M.; Mugisha, J.Y.T.; Hashim, M.H.A. Mathematical analysis of the dynamics of visceral leishmaniasis in the Sudan. Appl. Math. Comput. 2010, 217, 2567–2578.
  • [15] Hasker E, Malaviya P, Gidwani K, Picado A, Ostyn B, Kansal S et al. Strong Association between Serological Status and Probability of Progression to Clinical Visceral Leishmaniasis in Prospective Cohort Studies in India and Nepal. Plos Neglect Trop Dis. 2014;8(1). doi:10.1371/journal.pntd.0002657.