The double burden of HIV/AIDS and tuberculosis (TB), coupled with endemic and problematic food insecurity in Africa, can interact to negatively impact health outcomes, creating a syndemic. For people living with HIV/AIDS (PWH), food insecurity is a significant risk factor for acquiring TB due to the strong nutritional influences and co-occurring contextual barriers. We aim to synthesize evidence on the syndemic relationship between HIV/AIDS and TB co-infection and food insecurity in Africa. We conducted a scoping review of studies in Africa that included co-infected adults and children, with evidence of food insecurity, characterized by insufficient to lack of access to macronutrients. We sourced information from major public health databases. Qualitative, narrative analysis was used to synthesize the data. Of 1072 articles screened, 18 articles discussed the syndemic effect of HIV/AIDS and TB co-infection and food insecurity. Reporting of food insecurity was inconsistent, however, five studies estimated it using a validated scale. Food insecure co-infected adults had an average BMI of 16.5–18.5 kg/m². Negative outcomes include death (n = 6 studies), depression (n = 1 study), treatment non-adherence, weight loss, wasting, opportunistic infections, TB-related lung diseases, lethargy. Food insecurity was a precursor to co-infection, especially with the onset/increased incidence of TB in PWH. Economic, social, and facility-level factors influenced the negative impact of food insecurity on the health of co-infected individuals. Nutritional support, economic relief, and psychosocial support minimized the harmful effects of food insecurity in HIV–TB populations. Interventions that tackle one or more components of a syndemic interaction can have beneficial effects on health outcomes and experiences of PWH with TB in Africa.

Hemoglobinopathies and hemolytic anemias (HHA) are genetic blood disorders associated with diverse clinical complications, affecting an estimated 2.1 billion people worldwide. The World Health Organization (WHO) African Region accounts for approximately 425.8 million individuals, or 20% of the global HHA prevalence, yet comprehensive assessments of this burden have been lacking. We present the first systematic analysis of HHA burden in the WHO African Region from 2000–2021 using data from the Global Burden of Disease (GBD) 2021 study. We estimated regional, sex-, and age-specific rates (per 100,000 population) of mortality, incidence at birth, and years lived with disability (YLDs) in five-year intervals. Mortality estimates were generated using the Cause of Death Ensemble model (CODEm), supplemented with spatiotemporal Gaussian process regression. Incidence at birth was estimated using DisMod-MR 2.1, a Bayesian meta-regression tool, while YLDs were calculated by multiplying prevalence by disability weights reflecting severity and duration. Between 2000 and 2021, the WHO African Region experienced persistently higher age-standardized death rates from HHA compared to global levels, although regional mortality declined over the period. Sickle cell disorder (SCD) was the predominant contributor, with the highest mortality [3.68 deaths (95% UI 2.04–6.29) per 100,000] and disability burden [41.08 YLDs (95% UI 26.09–58.61)], while thalassemias contributed the least. Disability-adjusted life years (DALYs) were concentrated in western sub-Saharan Africa, accounting for 71.3% of the regional burden. Age-specific estimates revealed that children under five years faced a disproportionate share of mortality and disability. Despite overall declines in mortality, the WHO African Region continues to bear a disproportionate global burden of HHA, particularly affecting young children. These findings underscore the urgent need for strengthened newborn screening, early treatment, and health system interventions to reduce preventable deaths and disability.

Tobacco cessation among those recently diagnosed with cancer is important to improve their prognosis, yet, many cancer survivors continue to smoke. The epidemiology of tobacco use differs by race and ethnicity, and limited cessation research has been conducted in African American (AA) populations. Here, we assess demographic and clinical variables associated with continued smoking in AAs after a cancer diagnosis. The Detroit Research on Cancer Survivors study is a cohort comprised of AA cancer survivors with breast, prostate, lung, and colorectal cancers. Detroit Research on Cancer Survivors data were utilized from survivors who completed their baseline survey within 18 months of cancer diagnosis (n = 1145); 18% (n = 356) reported smoking at the time of cancer diagnosis, and 57% of these (n = 203) continued to smoke after their diagnosis. Logistic regression models were used to assess factors associated with continued smoking. Living with a smoker (odds ratio [OR] = 2.78, 95% confidence interval [CI]: 1.64, 4.70), higher cumulative years of smoking (OR = 1.03, 95% CI: 1.01, 1.05, for each year), and a prostate cancer diagnosis (OR = 7.35, 95% CI: 3.89, 13.89) were all associated with increased odds of continued smoking. Survivors with higher social well‐being scores (measured by the Functional Assessment of Cancer Therapy, a quality of life assessment) were more likely to quit smoking after diagnosis (OR = 0.96, 95% CI: 0.93, 1.00). These findings highlight the continued need for personalized cessation strategies to be incorporated into treatment plans for cancer survivors.

Background: Population size estimation (PSE) for key populations is needed to inform HIV programming and policy. Objective: This study aimed to examine the utility of applying a recently proposed method using Google Trend (GT) internet search data to generate PSE (Google Trends Population Size Estimate [GTPSE]) for men who have sex with men (MSM) in 54 countries in Africa, Asia, the Americas, and Europe. Methods: We examined GT relative search volumes (representing the relative internet search frequency of specific search terms) for “porn” and, as a comparator term, “gay porn” for the year 2020. We assumed “porn” represents “men” (denominator) while “gay porn” represents a subset of “MSM” (numerator) in each county, resulting in a proportional size estimate for MSM. We multiplied the proportional GTPSE values with the countries’ male adult population (15‐49 years) to obtain absolute size estimates. Separately, we produced subnational MSM PSE limited to countries’ (commercial) capitals. Using linear regression analysis, we examined the effect of countries’ levels of urbanization, internet penetration, criminalization of homosexuality, and stigma on national GTPSE results. We conducted a sensitivity analysis in a subset of countries (n=14) examining the effect of alternative English search terms, different language search terms (Spanish, French, and Swahili), and alternative search years (2019 and 2021). Results: One country was excluded from our analysis as no GT data could be obtained. Of the remaining 53 countries, all national GTPSE values exceeded the World Health Organization’s recommended minimum PSE threshold of 1% (range 1.2%‐7.5%). For 44 out of 49 (89.8%) of the countries, GTPSE results were higher than Joint United Nations Programme on HIV/AIDS (UNAIDS) Key Population Atlas values but largely consistent with the regional UNAIDS Global AIDS Monitoring results. Substantial heterogeneity across same-region countries was evident in GTPSE although smaller than those based on Key Population Atlas data. Subnational GTPSE values were obtained in 51 out of 53 (96%) countries; all subnational GTPSE values exceeded 1% but often did not match or exceed the corresponding countries’ national estimates. None of the covariates examined had a substantial effect on the GTPSE values ( R ² values 0.01‐0.28). Alternative (English) search terms in 12 out of 14 (85%) countries produced GTPSE>1%. Using non-English language terms often produced markedly lower same-country GTPSE values compared with English with 10 out of 14 (71%) countries showing national GTPSE exceeding 1%. GTPSE used search data from 2019 and 2021, yielding results similar to those of the reference year 2020. Due to a lack of absolute search volume data, credibility intervals could not be computed. The validity of key assumptions, especially who (males and females) searches for porn and gay porn, could not be assessed. Conclusions: GTPSE for MSM provides a simple, fast, essentially cost-free method. Limitations that impact the certainty of our estimates include a lack of validation of key assumptions and an inability to assign credibility intervals. GTPSE for MSM may provide an additional data source, especially for estimating national-level PSE.

The COVID-19 pandemic has further aggravated the burden of mental health and presents an opportunity for public health research to focus on evidence-based interventions appropriate for populations residing in resource-constrained, post-conflict settings. Post-conflict settings have a higher service gap in mental health and fewer protective factors, such as economic and domestic security. Post-conflict settings are defined as locations where open warfare has ended but resulting challenges have remained for years. A strong emphasis on the engagement of diverse stakeholders is needed to arrive at sustainable and scalable solutions to mental health service delivery. This review discusses mental health service delivery gaps in post-conflict settings, highlights the urgency of the matter in the context of the COVID-19 pandemic, and provides recommendations for service gaps from evidence-based case study exemplars with an implementation science lens using the Consolidated Framework for Implementation Research (CFIR) as guide to improving adaptation and uptake.