Yongjin Lu

Yongjin Lu

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Yongjin Lu

Department of Mathematics and Economics, Virginia State University, Petersburg, VA 23806, USA

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2019 in Applied Mathematical Modelling
Verified
Journal Article
Closed access
YWYadi Wang
Yadi Wang
XYXin-Guang Yang
Xin-Guang Yang
YLYongjin Lu
Yongjin Lu

4 June 2019 in Asymptotic Analysis
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Journal Article
Closed access
PDF file
LLLu Li
Lu Li
Xin-Guang YangXin-Guang Yang
Xin-Guang Yang
XLXuezhi Li
Xuezhi Li
Xingjie YanXingjie Yan
Xingjie Yan
YLYongjin Lu
Yongjin Lu
The tempered pullback dynamics of the 3D Brinkman–Forchheimer equation with variable delay has been studied in this paper. With the different universes which has some topology property, the existence of minimal and unique family of pullback attractors were obtained. Moreover, the convergence of pullback attractors for the 3D Brinkman–Forchheimer equation as delay term vanishes is also been proved, i.e., the upper semi-continuity of attractors.

30 June 2021 in Royal Society Open Science
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Journal Article
Open access
AFAnna K. Fortunato
Anna K. Fortunato
CGCasey P. Glasser
Casey P. Glasser
JWJoy A. Watson
Joy A. Watson
YLYongjin Lu
Yongjin Lu
Jan RychtarJan Rychtar
Jan Rychtar
DTDewey Taylor
Dewey Taylor
Visceral leishmaniasis (VL) is a deadly neglected tropical disease caused by a parasite Leishmania donovani and spread by female sand flies Phlebotomus argentipes . There is conflicting evidence regarding the role of insecticide-treated nets (ITNs) on the prevention of VL. Numerous studies demonstrated the effectiveness of ITNs. However, KalaNet, a large trial in Nepal and India did not support those findings. The purpose of this paper is to gain insight into the situation by mathematical modelling. We expand a mathematical model of VL transmission based on the KalaNet trial and incorporate the use of ITNs explicitly into the model. One of the major contributions of this work is that we calibrate the model based on the available epidemiological data, generally independent of the KalaNet trial. We validate the model on data collected during the KalaNet trial. We conclude that in order to eliminate VL, the ITN usage would have to stay above 96%. This is higher than the 91% ITNs use at the end of the trial which may explain why the trial did not show a positive effect from ITNs. At the same time, our model indicates that asymptomatic individuals play a crucial role in VL transmission.

1 August 2019 in Nonlinear Analysis: Real World Applications
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Journal Article
Closed access
Xin-Guang YangXin-Guang Yang
Xin-Guang Yang
Baowei FengBaowei Feng
Baowei Feng
SWShubin Wang
Shubin Wang
YLYongjin Lu
Yongjin Lu
TMTo Fu Ma
To Fu Ma

1 October 2018 in Applied Mathematics and Computation
Verified
Journal Article
Closed access
XYXin-Guang Yang
Xin-Guang Yang
LLLu Li
Lu Li
YLYongjin Lu
Yongjin Lu

1 October 2015 in Nonlinear Analysis: Real World Applications
Verified
Journal Article
Closed access
YLYongjin Lu
Yongjin Lu