Modelling Leishmania eco-epidemiology and control dynamics


Leishmaniasis is a complex multi-host vector borne disease that is endemic in more than 80 countries. In our work, we aim to construct realistic multi-host models for the disease in order to determine overall disease transmission and extinction dynamics where some hosts can be more competent in transmission of the disease and are also preferably bitten by the sand fly vector. This work forms part of our larger goal of studying how biodiversity affects vector-borne disease transmission, and its implications for policy makers concerned with disease control.

Research Focus

  • Computational Science

    Computational science is a multidisciplinary field that utilizes advanced computing to understand and solve complex problems. Researchers at the EIGH develop computational models, hardware, software, data management, and more to tackle a variety of global health concerns.

  • Epidemiology

    At the EIGH, our researchers use epidemiology to understand the distribution and determinants of the health and disease conditions in specific populations, and to identify risk factors for certain diseases. This allows them to develop, implement, and measure the impact of targeted, preventative healthcare methods. 

  • Infectious Diseases

    At the EIGH, our researchers work to combat a number of various illnesses, including infectious diseases caused by organisms like bacteria, viruses, fungi, and parasites. These diseases can also be spread from one person to another and may be transmitted from animals to humans. 

  • Vector-borne Diseases

    Vector-borne disease research is a historic strength of the EIGH. Our researchers study multiple parts of the vector-borne disease lifecycle, such as how the parasites, viruses, and bacteria cause these kinds of diseases, how the vectors spread these diseases, and how to improve prevention methods in tropical and subtropical areas, which have the highest burden of vector-borne illnesses. 

Who’s Involved

EIGH Faculty


  • Arizona State University
  • Benares Hindu University

Additional Information

Bilal, S., and Michael, E. Effects of complexity and seasonality on backward bifurcation in vector–host models.


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