Spatial Distribution of HIV Prevalence among Young People in Mozambique

Spatial analysis of HIV detection rates among Brazilian young men, 2007-2021

The main goal of this study was to spatially analyze the HIV epidemic scenario in young men in Brazil, 2007-2021. We used secondary data obtained from the Brazilian Information System for Notifiable Diseases. Individuals aged 15-29 years with permanent residence in Brazil who were diagnosed with HIV during the study period were included in the analysis. Municipality HIV age-adjusted detection rates were analyzed through spatial distribution, autocorrelation, and spatiotemporal risk analyses. During the study period, 108,392 HIV cases were reported in young Brazilian men. The HIV epidemic increased territorially in the northern, northeastern, midwestern, and southeastern regions but decreased in the southern region. Although the number of clusters comprising municipalities with high HIV detection rates (hotspots) decreased, new ones appeared, expanded, or stopped changing size. Hotspots and spatio-temporal risk zones (spatial areas with increased HIV detection in a specific period) comprised economically developed municipalities with high demographic density surrounded by less developed municipalities. The period of the spatiotemporal risk zones was between 2008 and 2021. Our study showed that HIV detection rates continue to increase among young Brazilian men, and health authorities should reinforce efforts mainly in capitals and surrounded municipalities in the north, northeast, southeast, and midwest regions.

Is the incidence rate of colorectal cancer increasing in Mozambique?

Background

Colorectal cancer (CRC) is a significant global health concern, ranking as the third most common cancer and the second leading cause of cancer-related deaths. However, in Africa, CRC is the fifth most common invasive malignancy. Limited data hinder our understanding of the evolving burden of CRC in sub-Saharan Africa. This study explores CRC trends in Mozambique, utilising data from population-based oncological registries.

Methods

CRC data were gathered from Beira and Maputo population-based cancer registries, along with supplementary information from pathology-based and hospital-based registries. Comparative analyses were performed across different time periods, focusing on trends and epidemiological characteristics.

Results

Incidence rates of CRC in Maputo and Beira were relatively low historically. However, data from recent years showed an increase, especially in age groups above 50. Analyses from pathology-based and hospital-based registries affirmed the rising trend. The age-standardised incidence rate in Maputo (2015-2017) was 3.17 for males and 2.55 for females. Beira exhibited increasing rates between 2009 and 2020, particularly in individuals aged 50 and above.

Conclusion

The study reveals an emerging burden of CRC in Mozambique, challenging the perception of low incidence. The rising trend underscores the necessity for tailored interventions, emphasizing early diagnosis, preventive strategies, and investments in healthcare infrastructure to address the increasing CRC burden in the region.

Healthcare Providers' Perspectives on a Novel Couple-Based HIV Treatment Intervention: A Qualitative Assessment of the Facilitators, Barriers, and Proposed Improvements to Implementation in Zambézia Province, Mozambique

Mozambique has one of the world's highest HIV/AIDS burdens. Despite significant investment in HIV care and treatment, pregnant and lactating women's retention in care remains suboptimal. One reason for poor maternal retention is lack of male partner support. We tested an interventional couple-based HIV care and treatment, including joint clinical appointments and couple-based educational and support sessions provided by a health counselor and peer educators, respectively. Healthcare providers delivering care for seroconcordant individuals were interviewed regarding their perspectives on facilitators and barriers to the couple-based intervention implementation. Analysis of interview responses was done using MAXQDA. Results pertaining to providers' perspectives on implementation and intervention characteristics were organized, interpreted, and contextualized using the Consolidated Framework for Implementation Research (CFIR 2.0), while providers' suggestions for improvements were coded and organized apart from CFIR. Providers felt the intervention was largely compatible with the local culture, and offered a significant advantage over standard individual-based care by facilitating patient follow-up and reducing wait times by prioritizing couples for services. They also believed it facilitated HIV treatment access through the provision of couple-based counseling that encouraged supportive behaviors towards retention. However, providers reported insufficient privacy to deliver couple-based care at some health facilities and concerns that women in difficult relationships may struggle to meaningfully participate. They suggested providing sessions in alternate clinic settings and offering a limited number of women-only visits. The facilitators and barriers described here contribute to informing the design and implementation of future couple-based interventions to improve HIV care for seroconcordant expectant couples.

Spatial distribution of sexual network locations used by long-distance truck drivers along the Northern Corridor highway, Kenya

BACKGROUND

In Kenya, long-distance truck drivers (LDTDs) using the Northern Corridor highway have a high prevalence of HIV and other sexually transmitted infections (STIs) due to their risky sexual networks. However, the spatial distribution of the sexual network locations used by LDTDs is not well understood. Consequently, healthcare stakeholders have found it difficult to provide spatially targeted HIV/STI interventions among LDTDs. Thus, the study sought to establish the spatial distribution of sexual network locations used by LDTDs along the Northern Corridor highway, to inform efficient distribution and use of limited HIV/STI-prevention resources.

METHODS

A cross-sectional study design was used. The study adopted a systematic sampling technique. 296 LDTDs were interviewed using interviewer-administered questionnaires at the Mlolongo weighbridge in Kenya. The LDTDs listed their history of sexual interactions and highway stopovers used during the week preceding data collection. Geospatial modelling techniques, using R statistical software packages for spatial mapping, were employed. Shapefiles were created and overlaid over a map of Kenya using R statistical software to create maps of sexual networks.

RESULTS

Forty-two highway stopovers used by LDTDs were spatially distributed along the highway, from the Kenya coast to the Kenya-Uganda border. In general, LDTDs' sexual network hotspots were restricted to the outskirts of major cities along the Northern Corridor highway (Nairobi, Mombasa and Nakuru) as well as the Kenya-Uganda international border.

CONCLUSIONS

On the Northern Corridor highway, stopovers situated proximal to major urban areas, as well as those at international border points, frequently serve as sexual network hotspots among LDTDs and their sexual partners. Thus, healthcare stakeholders should improve access to HIV/STI-prevention services targeted for LDTDs at the sexual network hotspots identified in this study.

Predicting the HIV/AIDS Knowledge among the Adolescent and Young Adult Population in Peru: Application of Quasi-Binomial Logistic Regression and Machine Learning Algorithms

Inadequate knowledge is one of the principal obstacles for preventing HIV/AIDS spread. Worldwide, it is reported that adolescents and young people have a higher vulnerability of being infected. Thus, the need to understand youths' knowledge towards HIV/AIDS becomes crucial. This study aimed to identify the determinants and develop a predictive model to estimate HIV/AIDS knowledge among this target population in Peru. Data from the 2019 DHS Survey were used. The software RStudio and RapidMiner were used for quasi-binomial logistic regression and computational model building, respectively. Five classification algorithms were considered for model development and their performance was assessed using accuracy, sensitivity, specificity, FPR, FNR, Cohen's kappa, F1 score and AUC. The results revealed an association between 14 socio-demographic, economic and health factors and HIV/AIDS knowledge. The accuracy levels were estimated between 59.47 and 64.30%, with the random forest model showing the best performance (64.30%). Additionally, the best classifier showed that the gender of the respondent, area of residence, wealth index, region of residence, interviewee's age, highest educational level, ethnic self-perception, having heard about HIV/AIDS in the past, the performance of an HIV/AIDS screening test and mass media access have a major influence on HIV/AIDS knowledge prediction. The results suggest the usefulness of the associations found and the random forest model as a predictor of knowledge of HIV/AIDS and may aid policy makers to guide and reinforce the planning and implementation of healthcare strategies.

Temporal and Spatial Analysis Techniques as Potential Tools for Combating the HIV Epidemic among Young Brazilian Amazonian People: An Ecological Study

BACKGROUND

The main goal of this study was to analyze the HIV epidemic temporally and spatially among young people living in Pará, Brazil, from 2007 to 2018.

METHODS

For the temporal analysis, we employed an integrated autoregression of moving averages model associated with the seasonal trend using the LOESS decomposition method, which allowed for predictions to be made. In the spatial analysis, the techniques of autocorrelation, spatial and spatio-temporal risk analysis, and geographically weighted regression were used.

RESULTS

During the study period, there were 8143 notifications of HIV/AIDS cases. The temporal prediction indicated a trend of growth in the incidence rate in the 20-24-year-old group from January 2019 to December 2022 and a trend of stability in the 15- to 19-year-old and 25- to 29-year-old groups. There was a territorial expansion of the HIV epidemic in Pará. Novo Progresso and the Metropolitan Region of Belém (RMB) were the zones with the highest spatial and spatio-temporal risk for HIV. Social determinants including the Basic Education Development Index, the number of physicians per 10,000 inhabitants, and the municipal high school abandonment rate in the municipalities were associated with the risk of HIV/AIDS among young people in Pará.

CONCLUSIONS

To eliminate HIV among young people in Pará, the access to treatment, diagnosis, and preventive healthcare services should be expanded. Sexual and reproductive health education should be reinforced in schools and communities. Furthermore, it is necessary to promote social equity and fight HIV stigma.

High Prevalence of Mental Health Disorders in Adolescents and Youth Living with HIV: An Observational Study from Eight Health Services in Sofala Province, Mozambique

Adolescent mental health (MH) is a significant global health concern, which is extremely relevant when referring to adolescents and youth living with HIV (AYHIV). In Mozambique, ∼52% of the population is <18 years and the country has the world's eighth highest HIV prevalence (insert citation). We performed an observational study to evaluate anxiety, depression, post-traumatic stress disorder (PTSD) and alcohol-drug abuse in adolescents and youth assessing health services in Sofala Province, Mozambique. From November 20, 2019, to November 20, 2021, all adolescents and youth (10-24 years) accessing one of the psychological services offered at 8 Servicios Amigos dos Adolescentes (SAAJ) of the Sofala Province were screened by a psychologist using the following standardized tools: Generalized Anxiety Disorder-7 (GAD-7) for anxiety, Patient Health Questionnaire-9 (PHQ-9) for depression, Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) for PTSD, and Cut down, Annoyed, Guilty, and Eye-opener Adapted to Include Drugs (CAGE-AID) for alcohol-drug abuse. Overall, 2108 adolescents and youth were included in the study (63% female, median age: 19 years). Of them, 1096 (52%) were HIV positive. AYHIV had higher scores at the four tools tested and for concomitant MH disorders (GAD-7, PHQ-9, PTSD-5, and CAGE). The multivariable logistic regressions showed a greater probability to be GAD-7 > 10 for women, [adjusting odds ratio (AOR): 1.46, 95% confidence interval (CI): 1.01-2.10], for workers (AOR: 2.18, 95% CI: 1.12-4.23) and people living with HIV (AOR: 1.78, 95% CI: 1.25-2.54). Higher values of CAGE (≥2) and PTSD (≥3) seemed to be associated only with HIV-positive status (AOR: 4.87, 95% CI: 3.72-6.38 and AOR: 1.73, 95% CI: 1.28-237). These data further reinforce the urgent need for a global health policy action with focused intervention on MH in AYHIV patients.

Spatiotemporal high-resolution prediction and mapping: methodology and application to dengue disease

Dengue disease has become a major public health problem. Accurate and precise identification, prediction and mapping of high-risk areas are crucial elements of an effective and efficient early warning system in countering the spread of dengue disease. In this paper, we present the fusion area-cell spatiotemporal generalized geoadditive-Gaussian Markov random field (FGG-GMRF) framework for joint estimation of an area-cell model, involving temporally varying coefficients, spatially and temporally structured and unstructured random effects, and spatiotemporal interaction of the random effects. The spatiotemporal Gaussian field is applied to determine the unobserved relative risk at cell level. It is transformed to a Gaussian Markov random field using the finite element method and the linear stochastic partial differential equation approach to solve the "big n" problem. Sub-area relative risk estimates are obtained as block averages of the cell outcomes within each sub-area boundary. The FGG-GMRF model is estimated by applying Bayesian Integrated Nested Laplace Approximation. In the application to Bandung city, Indonesia, we combine low-resolution area level (district) spatiotemporal data on population at risk and incidence and high-resolution cell level data on weather variables to obtain predictions of relative risk at subdistrict level. The predicted dengue relative risk at subdistrict level suggests significant fine-scale heterogeneities which are not apparent when examining the area level. The relative risk varies considerably across subdistricts and time, with the latter showing an increase in the period January-July and a decrease in the period August-December.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10109-021-00368-0.

Mobile HIV testing in South Africa: maximizing yield through data-guided site selection

BACKGROUND

Mobile community HIV testing can effectively reach undiagnosed people living with HIV in southern Africa. Variable yield in HIV test positivity has been a challenge with high- and low-yield sites often being closely situated. We sought to test whether easy-to-identify, site-level characteristics were associated with HIV positivity yield in a routine mobile HIV testing program.

METHODS

We used routine testing program test data augmented with site-level characterization, either of the community or shopping site at which HIV testing was offered. Specifically, we described the local environment and interviewed key informants to gain additional information regarding the availability of HIV and other services in the locale.

RESULTS

We included 122 residential and 26 shopping sites with median HIV-positive test yields of 7.6% and 6.9%, respectively. The range for community sites was from 2 to 55% with high and low yields at geographically proximal sites. Factors related to lower income and marginalization, including informal housing and the absence of name-brand stores in shopping venues, were associated with higher HIV-positive testing yield.

CONCLUSIONS

Characterization of sites, particularly identifying factors related to marginalization, lack of services, and poverty, can aid in identifying sites with higher HIV-positive yield.