Martial Loth Ndeffo Mbah, PhD

Research Scientist in Epidemiology (Microbial Diseases)

Departments & Organizations

School of Public Health: Epidemiology of Microbial Diseases

Faculty Research

Biography

Martial L Ndeffo Mbah came to Yale in 2010 as a post-doc with Professor Alison Galvani’s modeling group. Now a research scientist and associate director for the Center for Infectious Disease Modeling and Analysis at the Yale School of Public Health, his research addresses public health challenges through innovative interdisciplinary approaches that combine mathematical, statistical, ecological, economics modeling with epidemiology. He earned his Ph.D. in mathematical biology from the University of Cambridge and holds masters and undergraduate degrees from the University of Cambridge, University of Stellenbosch in South Africa and University of Yaoundé 1 in Cameroon. He is noted for recent work on emerging infectious diseases such as Ebola, zika, and chikungunya, the elimination of neglected tropical diseases such as sleeping sickness and schistosomiasis, as well as the interaction between schistosomiasis, HIV and malaria.

Education & Training

PhD University of Cambridge (2010)
MSc University of Cambridge (2006)
MSc African Institute for Mathematical Sciences (2005)
MA University of Yaounde I, Cameroon (2003)

Activities

  • Disease control in Cameroon Cameroon (2015)

    Developing risk map and transmission models for informing public health policies for infectious disease surveillance and control in Cameroon

  • Epidemiological modeling of Ebolavirus Liberia (2014)

    In collaboration with the Liberian ministry of Health of Social Welfare, we are developing transmission models to assess the differential contribution of disease progression to the spread of Ebola in Liberia, and evaluating the potential effectiveness of pharmaceutical and non-pharmaceutical...

  • Visceral Leishmaniasis Brazil (2014)

    Developing data-driven epidemiological models to evaluate the contribution of different host species to disease dynamics and evaluate the effectiveness and cost-effectiveness of different targeted intervention strategies

  • Interaction between genital schistosomiasis and HIV transmission South Africa; Zimbabwe (2012)

    Developing data-driven epidemiological model for joint transmission dynamics of HIV and schistosomiasis to evaluate the effectiveness and cost-effectiveness of community based intervention of provision of clean of water, sanitation, and health education and administration of praziquantel to...

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