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2022-03-10
Xiunan Wang, Hao Wang, Pouria Ramazi, Kyeongah Nah, Mark Lewis
Accurate prediction of the number of daily or weekly confirmed cases of COVID-19 is critical to the control of the pandemic. Existing mechanistic models nicely capture the disease dynamics. However, to forecast the future, they require the transmission rate to be known, limiting their prediction...
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2013-01-01
Qihua Huang, Laura Parshotam, Hao Wang, Caroline Bampfylde, Mark A. Lewis
Mathematical models have been widely applied to perform chemical risk assessments on biological populations for a variety of ecotoxicological pro- cesses. In this paper, by introducing a dose-dependent mortality rate function, we formulate a toxin-dependent aquatic population model that...
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Second-generation stoichiometric mathematical model to predict methane emissions from oil sands tailings
Download2019-07-31
Jude D. Kong, Hao Wang, Tariq Siddique, Julia Foght, Kathleen Semple, Zvonko Burkus, Mark A. Lewis
Microbial metabolism of fugitive hydrocarbons produces greenhouse gas (GHG) emissions from oil sands tailings ponds (OSTP) and end pit lakes (EPL) that retain fluid tailings from surface mining of oil sands ores. Predicting GHG production, particularly methane (CH4), would help oil sands...
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Temperature- and Turbidity-Dependent Competitive Interactions Between Invasive Freshwater Mussels
Download2016-01-01
Qihua Huang, Hao Wang, Anthony Ricciardi, Mark A. Lewis
We develop a staged-structured population model that describes the competitive 7 dynamics of two functionally similar, congeneric invasive species: zebra mussels and quagga 8 mussels. The model assumes that the population survival rates are functions of temperature 9 and turbidity, and that the...