Josephine Wairimu Kagunda

Dr. Kagunda is an applied mathematician with a strong background in dynamical systems, numerical analysis, programming in R, Python and ODE modeling. Her research focuses on developing and analyzing deterministic models of infectious diseases.

Dr. Kagunda seeks to understand the interplay between transmission dynamics of infectious diseases, the environmental factors, human behavior and vectors population in public health. Mathematical models are used to fit data, estimate parameters for accurate prediction, gain insight on the disease spread and assess the effectiveness of control strategies.

For effective public health interventions during an epidemic outbreak, there is a need for concerted, multidisciplinary and convergent research that brings together experts from different disciplines to tackle problems together. Dr. Kagunda joins the Ohio State Health and Environment Modeling team, known as HEALMOD, to work on dynamical survival analysis models.

• Deterministic modeling
• Epidemic modeling
• Data fitting in epidemiological models
• Survival analysis
• Stochastic modeling
• Dynamical systems
• Data wrangling, visualization and analysis using R and Python
• Analysis of complex systems
• Statistical analysis
• Deep neural networks for public health interventions

• PhD, Msc, in (Applied Math)

Ngonghala C.N., Wairimu J, Jesee A. and Hardik D.: Impact of adaptive mosquito behavior and insecticide-treated nets on malaria prevalence. Journal of Biological Systems; Vol.28, No. 2(2020) 515-542DOI:S0218339020400100
   
   Hennequin S., Nyoungue A. and Wairimu J., Epidemological models of phenomena propagation in IIOTs: ISC’20 -https://www.eurosis.org/conf/isc/2020/).
   
   Ronoh M.C., Chirove F., Wairimu J. and , Ogana W. Evidence-based modeling of combinatory control on Kenyan youth HIV/AIDS dynamics. PLoS One 15(11)E0242491(2020).10.1142/S0218339020400045
   
   Ronoh M.C., Chirove F., Wairimu J. and, Ogana W. Modeling Disproportional Effects of Educating the Kenyan Youth on HIV/AIDS. Journal of Biological Systems; Vol.28, No. 2(2020) 1-39.10.1142/S0218339020400045
   
   Wairimu J., Rono M., Modeling insecticide resistance and mosquito adaptation in Endemic regions of Kenya. AM. Vol.7 No.6, pp542-555March 2016.10.4236/am.2016.76050 
   
   Ronoh M., Rym J., Kamdoum V., Matendechere N., Fotso P., Wairimu J., Auma R., Lugoye J. A mathematical model of tuberculosis with drug resistance effects. Applied Mathematics, 2014, 5(12), 1535-1545. 10.4236/am.2016.712115
   
   Wairimu J., Gauthier S., Ogana W., Mathematical Analysis of a large scale Vector SIS malaria model in a patchy environment. Applied Mathematics Journal Vol.5 No.13, 1913-1926 July 2014.10.4236/am.2014.513185
   
   Wairimu J., Gauthier S., Ogana W., Formulation of a vector SIS malaria model in a patchy environment with two age classes. Applied Mathematics Journal Vol.5 No.10, 1535-1545. June 2014, DOI: 10.4236/am.2014.510147.