Dynamic analysis and optimal control of HIV/AIDS model considering the first 95% target

Based on the level of awareness of the population, an HIV/AIDS model is developed, which focused on the first 95% plan developed by UNAIDS. The threshold of model and the expressions of the disease‐free equilibrium and the endemic equilibrium are calculated, proving the existence of backward bifurcation. Backward bifurcation is caused by the imperfect protection rate of susceptible population due to education. Using China's actual data for parameter fitting, it is found that new HIV infections are on an upward trend. In response to this phenomenon, publicity and education, condoms, screening, and treatment of infected populations are considered as control measures. It is concluded that publicity and education is the primary strategy. This measure can not only effectively reduce the number of infected populations but also effectively increase the awareness rate of HIV‐infected populations. It is recommended to use condoms and have fewer sexual partners during sexual contact. Numerical simulation verifies that early stage publicity and education are much more important than post‐infection screening and treatment measures.

Authors

Institutions

Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2024-11-04
DOI
https://doi.org/10.1002/mma.10563
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic analysis and optimal control of HIV/AIDS model considering the first 95% target

Juping Zhang, Wenhui Hao, Zhen Jin
Mathematical Methods in the Applied Sciences
Mathematical and Theoretical Epidemiology and Ecology Models
article

Dynamic analysis and optimal control of HIV/AIDS model considering the first 95% target

Juping Zhang, Wenhui Hao, Zhen Jin
article en

Abstract

Based on the level of awareness of the population, an HIV/AIDS model is developed, which focused on the first 95% plan developed by UNAIDS. The threshold of model and the expressions of the disease‐free equilibrium and the endemic equilibrium are calculated, proving the existence of backward bifurcation. Backward bifurcation is caused by the imperfect protection rate of susceptible population due to education. Using China's actual data for parameter fitting, it is found that new HIV infections are on an upward trend. In response to this phenomenon, publicity and education, condoms, screening, and treatment of infected populations are considered as control measures. It is concluded that publicity and education is the primary strategy. This measure can not only effectively reduce the number of infected populations but also effectively increase the awareness rate of HIV‐infected populations. It is recommended to use condoms and have fewer sexual partners during sexual contact. Numerical simulation verifies that early stage publicity and education are much more important than post‐infection screening and treatment measures.

Mathematical Methods in the Applied SciencesVol. 48(4)
Shanxi University (CN)
National Natural Science Foundation of China, Shanxi Provincial Key Research and Development Project
Good health and well-being
Openalex Percentile: Top 70%
Mathematical and Theoretical Epidemiology and Ecology Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dynamic analysis and optimal control of HIV/AIDS model considering the first 95% target — Juping Zhang, Wenhui Hao, et al. · Mathematical Methods in the Applied Sciences (2024) | TGRS Research Map | TGRS