M
Miranda I. Teboh-Ewungkem
Researcher at Lehigh University
Publications - 39
Citations - 507
Miranda I. Teboh-Ewungkem is an academic researcher from Lehigh University. The author has contributed to research in topics: Population & Malaria. The author has an hindex of 12, co-authored 37 publications receiving 403 citations. Previous affiliations of Miranda I. Teboh-Ewungkem include Lafayette College.
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Mathematical assessment of the effect of traditional beliefs and customs on the transmission dynamics of the 2014 Ebola outbreaks
TL;DR: The 2014 Ebola outbreaks are controllable using a moderately-effective basic public health intervention strategy alone, and a much higher disease burden would have been recorded in the absence of such intervention.
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Mathematical study of the role of gametocytes and an imperfect vaccine on malaria transmission dynamics.
TL;DR: In the absence of disease-induced mortality, the model has a globally-asymptotically stable disease-free equilibrium whenever a certain epidemiological threshold, known as the basic reproduction number, is less than unity.
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Periodic oscillations and backward bifurcation in a model for the dynamics of malaria transmission
TL;DR: A deterministic ordinary differential equation model that explicitly integrates the demography and life style of the malaria vector and its interaction with the human population is developed and analyzed, and results indicate the existence of nontrivial disease free and endemic steady states.
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A within-vector mathematical model of Plasmodium falciparum and implications of incomplete fertilization on optimal gametocyte sex ratio.
TL;DR: A mathematical model that simulates the within-vector dynamics of Plasmodium falciparum in an Anopheles mosquito is developed and shows that reducing the gametocyte density in the blood meal most significantly lowers sporozoite load in the salivary glands and hence mosquito infectivity, and is thus an attractive target for malaria control.
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Persistent oscillations and backward bifurcation in a malaria model with varying human and mosquito populations: implications for control
TL;DR: Malaria dynamics are indeed oscillatory when the methodology of explicitly incorporating the mosquito’s demography, feeding and reproductive patterns is considered in modeling the mosquito population dynamics, and uncertainties in the estimations of the rates at which exposed humans become infectious and infectious humans recover from malaria are critical in generating uncertainties.