Quantifying ivermectin's optimal strategy impacts on malaria transmission: a dual-structured mathematical model

Franck J. Dongmo; Charles Wondji; Berge Tsanou; Ramsès Djidjou-Demasse

doi:10.1080/00036811.2024.2429103

Quantifying ivermectin's optimal strategy impacts on malaria transmission: a dual-structured mathematical model

Franck J. Dongmo
, Charles Wondji
, Berge Tsanou
, Ramsès Djidjou-Demasse

Vector Biology

Centre for Research in Infectious Diseases (CRID)
Université de Dschang
Université Montpellier
Third World Forum Dakar

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Original language	English
Pages (from-to)	1526-1564
Number of pages	39
Journal	Applicable Analysis
Volume	104
Issue number	8
Early online date	27 Nov 2024
DOIs	https://doi.org/10.1080/00036811.2024.2429103
Publication status	Published - 27 Nov 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

age-structured model
basic reproduction number
bifurcation analysis
human prevalence
Ivermectin
malaria
optimization

Access to Document

10.1080/00036811.2024.2429103Licence: CC BY

Quantifying ivermectin s optimal strategy impacts on malaria transmission a dual-structured mathematical modelFinal published version, 4.18 MBLicence: CC BY

Cite this

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title = "Quantifying ivermectin's optimal strategy impacts on malaria transmission: a dual-structured mathematical model",

keywords = "age-structured model, basic reproduction number, bifurcation analysis, human prevalence, Ivermectin, malaria, optimization",

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AU - Djidjou-Demasse, Ramsès

PY - 2024/11/27

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KW - human prevalence

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KW - optimization

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