Increase in HIV infections due to a decrease in testing rates.

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HIV传播动态建模

检测率影响评估

数据链接：

https://figshare.com/articles/dataset/_Increase_in_HIV_infections_due_to_a_decrease_in_testing_rates_/157961 数据链接链接失效反馈

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The second column shows the mean of the total number of extra infections during the 2010 to 2020 period for the 10 model simulations. The third column shows the mean and range for the percentage reduction in total infections.

创建时间：

2013-02-15

Developing a dynamic HIV transmission model for 6 U.S. cities: An evidence synthesis

HIV传播动态建模

流行病学证据合成

Background Dynamic HIV transmission models can provide evidence-based guidance on optimal combination implementation strategies to treat and prevent HIV/AIDS. However, these models can be extremely da

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Summary of the estimated parameters, standard errors, t values and p-values.

HIV传播动态建模

流行病学参数

Where β = the contact rate between susceptible individuals and exposed or HIV-infected individuals, α = removal rate, μ = nature death rate, δ = the portion of HIV-infected individuals, ρ = disease-in

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Coupling tendency correlation scores.

HIV传播动态建模

传染病模型

Many studies have employed Agent-Based Modeling (ABM) to study the complex dynamics of HIV transmission. However, these studies often focus narrowly on specific subpopulations and limited parameters,

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Control measures.

HIV传播动态建模

最优策略

In this work, we formulated a mathematical model on HIV/AIDS transmission dynamics that incorporates the post-contact control measure. The six important compartments of the model are: Susceptible, und

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Fig A, Scheme of the transmission model. Fig B, Polynomial fit for CD4 count decline used to estimate the time since infection to different CD4 counts. Table A, List of parameters and initial conditions of the transmission model. Table B, Parameters used in the estimation of force of infection. Table C, Percentage of MSM by risk group, prevalence of HIV and mean number of sexual partners in the last month. Table D, Number of deaths in HIV-infected MSM estimated by the model in comparison with the official number reported. Table E, Estimation of time since infection fitted to CD4 counts at diagnoses and HAART initiation. Table F, Estimation of the number of accumulated infections transmitted along time by HIV awareness and treatment status in the scenario of HAART initiation according to WHO guidelines + 80% of diagnoses. Table G, Number of accumulated infections transmitted in each scenario simulated along time using different definitions of risks groups.

HIV传播动态建模

干预评估

(DOCX)

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