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Management strategies in a malaria model combining human and transmission-blocking vaccines

  • Jemal Mohammed-Awel
    ,
  • Ruijun Zhao
    ,
  • ,
  • Suzanne Lenhart
  • Valdosta State University
    ,
  • Minnesota State University Mankato
    ,
  • ,
  • University of Tennessee, Knoxville
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

We propose a new mathematical model studying control strategies of malaria transmission. The control is a combination of human and transmission-blocking vaccines and vector control (larvacide). When the disease induced death rate is large enough, we show the existence of a backward bifurcation analytically if vaccination control is not used, and numerically if vaccination is used. The basic reproduction number is a decreasing function of the vaccination controls as well as the vector control parameters, which means that any effort on these controls will reduce the burden of the disease. Numerical simulation suggests that the combination of the vaccinations and vector control may help to eradicate the disease. We investigate optimal strategies using the vaccinations and vector controls to gain qualitative understanding on how the combinations of these controls should be used to reduce disease prevalence in malaria endemic setting. Our results show that the combination of the two vaccination controls integrated with vector control has the highest impact on reducing the number of infected humans and mosquitoes.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 977-1000 (24 pages)

Journal (Volume, Issue Number)

Discrete and Continuous Dynamical Systems - Series B (Volume 22, Issue 3)

Publication milestones

  • Published - 05/2017

Publication status

Published - 05/2017

ISSN

1531-3492

Publication IDs

  • Scopus: 85014353761

Publication metrics

Metrics

SciVal
FWCI
0.94
SciVal
Author count
4
SciVal
citations
5
SciVal
Paper percentile
61
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1
Scopus
citations

PlumX, opens in new tab

Citation count
7
Captures
10

Funding Details

We would like to acknowledge support from the National Institute for Mathematical and Biological Synthesis. Lenhart acknowledges partial support from the University of Tennessee Center for Business and Economic Research, and Numfor acknowledges support from the College of Science and Mathematics at Augusta University.
FundersFunding numbersCollege of Science and Mathematics-
University of Tennessee Center for Business and Economic Research
-
NIMBioS
-Augusta University-