Analysis of HIV/AIDS Epidemic and Socioeconomic Factors in Sub-Saharan Africa

Sun, Shuman; Li, Zhiming; Zhang, Huiguo; Jiang, Haijun; Hu, Xueping

doi:10.3390/e22111230

Cited by 7 publications

(5 citation statements)

References 32 publications

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“…To a greater extent, the socioeconomic status of women and unequal gender power structures coerce and lead women into unintended relationships that expose them to elevated risks of HIV/AIDS infection in comparison to men [ 5 ]. Similar findings have been observed in the East, West, and Central African regions where most women are mostly affected by HIV/AIDS [ 1 ].…”

Section: Introductionsupporting

confidence: 87%

“…Sub-Saharan Africa accounts for 70% of Human Immunodeficiency Virus/Acquired Immunity Deficiency Syndrome (HIV/AIDS) infections around the globe [ 1 ]. This is despite coordinated efforts from different stakeholders that continue to scale up prevention and treatment programmes.…”

Section: Introductionmentioning

confidence: 99%

“…HIV/AIDS-infected adults on ART often shifted their sexual behaviours in response to their HIV/AIDS-positive status. Analysing relationships between HIV/AIDS and socioeconomic issues between 2011 and 2016 in Sub-Saharan African countries, Sun et al [ 1 ] utilised Poisson regression, and spatiotemporal autoregressive models. Results from the study showed significant spatiotemporal non-stationarity and autocorrelation between HIV/AIDS and socioeconomic factors.…”

Section: Introductionmentioning

confidence: 99%

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Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression

et al. 2023

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Increased HIV/AIDS testing is of paramount importance in controlling the HIV/AIDS pandemic and subsequently saving lives. Despite progress in HIV/AIDS testing programmes, most people are still reluctant to test and thus are still unaware of their status. Understanding the factors associated with uptake levels of HIV/AIDS self-testing requires knowledge of people’s perceptions and attitudes, thus informing evidence-based decision making. Using the South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey of 2017 (SABSSM V), this study assessed the efficacy of Generalised Linear Poisson Regression (GLPR) and Geographically Weighted Poisson Regression (GWPR) in modelling the spatial dependence and non-stationary relationships of HIV/AIDS self-testing uptake and covariates. The models were calibrated at the district level across South Africa. Results showed a slightly better performance of GWPR (pseudo R2 = 0.91 and AICc = 390) compared to GLPR (pseudo R2 = 0.88 and AICc = 2552). Estimates of local intercepts derived from GWPR exhibited differences in HIV/AIDS self-testing uptake. Overall, the output of this study displays interesting findings on the levels of spatial heterogeneity of factors associated with HIV/AIDS self-testing uptake across South Africa, which calls for district-specific policies to increase awareness of the need for HIV/AIDS self-testing.

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Section: Introductionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression

et al. 2023

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“…At present, HIV is still a major global public health problem, which has claimed 36.3 million lives thus far [ 17 ]. The spread of AIDS is influenced by local political, economic, and cultural factors, which are often difficult to quantify [ 18 , 19 ]. With the help of various technical means to establish an early warning mechanism for the HIV epidemic and predict the changing trends of AIDS in the future, public health departments could better prepare countermeasures in advance and effectively control the spread and prevalence of HIV.…”

Section: Discussionmentioning

confidence: 99%

Mean generation function model in AIDS epidemic estimation

Yuan

Tian

Zhao

et al. 2022

BMC Med Inform Decis Mak

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Background Since the first case of HIV infection was reported in China in 1985, the incidence and mortality of AIDS have been increasing rapidly, which has caused serious damage to the life and health of people in China and all over the world. Therefore, it is of great significance to study the technique for predicting AIDS morbidity and mortality. The purpose of this research is to explore the applicability of the mean generation function model (MGFM) in the early warning of AIDS morbidity and mortality, to predict its prevalence trend, to enrich the prediction techniques and methods of AIDS research and to provide suggestions for AIDS transmission control. Methods In this research, the MGFM was applied to predict the incidence and mortality of AIDS in China. AIDS incidence and mortality data in China from 2008 to 2019 were used to construct the prediction model. Results The MGFM can predict the annual incidence and mortality of AIDS. The model constructed in this research predicted that the incidence and mortality of AIDS in China will continue to increase from 2020 to 2023. Conclusion The mean birth function model was an effective method to monitor and predict the changing trend of AIDS incidence and mortality in China.

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“…Recent data from the WHO estimates that the number of confirmed HIV patients reaches up to 37.7 million, of which 70% are from sub-Saharan Africa. In China, the number of HIV patients is increasing rapidly too [ 1 , 2 ]. The major HIV-1 strain in China is CRF07_BC (accounted for 41.3%), followed by CRF01_AE (32.7%), CRF08_BC (11.3%) and subtype B (4.0%) [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Highly sensitive and rapid point-of-care testing for HIV-1 infection based on CRISPR-Cas13a system

Li,

Su,

Yang

et al. 2023

BMC Infect Dis

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Background Human immunodeficiency virus type one (HIV-1) is the leading cause of acquired immunodeficiency syndrome (AIDS). AIDS remains a global public health concern but can be effectively suppressed by life-long administration of combination antiretroviral therapy. Early detection and diagnosis are two key strategies for the prevention and control of HIV/AIDS. Rapid and accurate point-of-care testing (POCT) provides critical tools for managing HIV-1 epidemic in high-risk areas and populations. Methods In this study, a POCT for HIV-1 RNA was developed by CRISPR-Cas13a lateral flow strip combined with reverse transcriptase recombinase-aided amplification (RT-RAA) technology, the results can be directly observed by naked eyes. Results Moreover, with the degenerate base-binding CRISPR-Cas13a system was introduced into the RT-RAA primer designing, the technology developed in this study can be used to test majority of HIV-1 RNA with limit of detection (LOD) 1 copy/μL, while no obvious cross-reaction with other pathogens. We evaluated this method for detecting HIV-1 RNA of clinical samples, the results showed that the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy were 91.81% (85.03- 96.19%), 100% (92.60–100%), 100% (96.41–100%), 39.14% (25.59–54.60%) and 92.22% (86.89–95.88%), respectively. The lowest viral load detectable by this method was 112copies/mL. Conclusion Above all, this method provides a point-of-care detection of HIV-1 RNA, which is stable, simple and with good sensitivity and specificity. This method has potential to be developed for promoting early diagnosis and treatment effect monitoring of HIV patients in clinical.

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Analysis of HIV/AIDS Epidemic and Socioeconomic Factors in Sub-Saharan Africa

Cited by 7 publications

References 32 publications

Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression

Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression

Mean generation function model in AIDS epidemic estimation

Highly sensitive and rapid point-of-care testing for HIV-1 infection based on CRISPR-Cas13a system

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