Challenges and Opportunities in Big Data Science to Address Health Inequities and Focus the HIV Response.

PURPOSE OF REVIEW: Big Data Science can be used to pragmatically guide the allocation of resources within the context of national HIV programs and inform priorities for intervention. In this review, we discuss the importance of grounding Big Data Science in the principles of equity and social justice to optimize the efficiency and effectiveness of the global HIV response. RECENT FINDINGS: Social, ethical, and legal considerations of Big Data Science have been identified in the context of HIV research. However, efforts to mitigate these challenges have been limited. Consequences include disciplinary silos within the field of HIV, a lack of meaningful engagement and ownership with and by communities, and potential misinterpretation or misappropriation of analyses that could further exacerbate health inequities. Big Data Science can support the HIV response by helping to identify gaps in previously undiscovered or understudied pathways to HIV acquisition and onward transmission, including the consequences for health outcomes and associated comorbidities. However, in the absence of a guiding framework for equity, alongside meaningful collaboration with communities through balanced partnerships, a reliance on big data could continue to reinforce inequities within and across marginalized populations.

Evaluation of the Sexually Transmitted Infections Programme among Key and Priority Populations in Primary Healthcare Facilities to Inform a Targeted Response: A Protocol Paper.

Primary healthcare facilities lack routine diagnostic screening due to resource limitations and dependence on syndromic management, resulting in an unprecedented prevalence and incidence of sexually transmitted infections (STIs), particularly among key and priority populations. Specific focuses are essential to strengthen current STI control measures. Therefore, this article describes the protocol for evaluating STI programme among key and priority populations in selected primary healthcare facilities in South Africa. We will employ an exploratory, descriptive research design to assess the STI programme in terms of its facility operations, functions, scope, gaps, delivery services, STI surveillance methods, and indicators in the selected primary healthcare facilities. A purposive sample of 15-20 STI programme stakeholders will be selected from five primary healthcare facilities in Limpopo Province, South Africa. The programme evaluation will use the World Health Organization assessment checklist tool, a globally recognised and validated instrument comprising open- and closed-ended questions to assess the STI programme. This tool, known for its credibility and reliability, ensures the study's validity. Quantitative data will be captured on STATA software (College Station, TX, USA) version 18 for descriptive analysis and presented as the mean and standard deviation for continuous variables, proportions and percentages for categorical variables. A p ≤ 0.05 will demonstrate a statistically significant level. Thematic content analysis will be conducted for the qualitative data using Atlas. ti software (Technical University, Berlin, Germany) version 23.1. The study's results will inform new approaches to strengthen STI coverage, service delivery, and linkage to care.

Country ownership and sustainable programming of the HIV response in South Africa: A scoping review.

Background: Concerns have arisen regarding the extent to which South Africa's HIV response can be country-owned and sustainable given substantial foreign investment and technical support. Objectives: To assess the extent to which South Africa's national HIV response is country-owned. Method: We conducted a scoping review of South African literature using the Global Health Initiative Framework for country ownership. Results: South Africa has clear aspirations for what should be accomplished and strategies are aligned with national and international priorities. Although South Africa has leveraged community-based strategies to reach key populations (KPs), most are supported by international donors, which poses a sustainability challenge. Despite robust capacity strengthening and training programmes, South Africa continues to face healthcare worker shortages. While it is commendable that South Africa funds nearly 70% of the national HIV response, the funds mainly support HIV treatment. This may create dependency on international partners. Conclusion: South Africa appears to be progressing well along the spectrum of country ownership, but sustained efforts are required to combat HIV. Greater ownership over KP programming and prevention services are especially needed to achieve greater impact.

Big Data and Infectious Disease Epidemiology: Bibliometric Analysis and Research Agenda.

BACKGROUND: Infectious diseases represent a major challenge for health systems worldwide. With the recent global pandemic of COVID-19, the need to research strategies to treat these health problems has become even more pressing. Although the literature on big data and data science in health has grown rapidly, few studies have synthesized these individual studies, and none has identified the utility of big data in infectious disease surveillance and modeling. OBJECTIVE: The aim of this study was to synthesize research and identify hotspots of big data in infectious disease epidemiology. METHODS: Bibliometric data from 3054 documents that satisfied the inclusion criteria retrieved from the Web of Science database over 22 years (2000-2022) were analyzed and reviewed. The search retrieval occurred on October 17, 2022. Bibliometric analysis was performed to illustrate the relationships between research constituents, topics, and key terms in the retrieved documents. RESULTS: The bibliometric analysis revealed internet searches and social media as the most utilized big data sources for infectious disease surveillance or modeling. The analysis also placed US and Chinese institutions as leaders in this research area. Disease monitoring and surveillance, utility of electronic health (or medical) records, methodology framework for infodemiology tools, and machine/deep learning were identified as the core research themes. CONCLUSIONS: Proposals for future studies are made based on these findings. This study will provide health care informatics scholars with a comprehensive understanding of big data research in infectious disease epidemiology.

Competing health risks associated with the COVID-19 pandemic and early response: A scoping review.

BACKGROUND: COVID-19 has rapidly emerged as a global public health threat with infections recorded in nearly every country. Responses to COVID-19 have varied in intensity and breadth, but generally have included domestic and international travel limitations, closure of non-essential businesses, and repurposing of health services. While these interventions have focused on testing, treatment, and mitigation of COVID-19, there have been reports of interruptions to diagnostic, prevention, and treatment services for other public health threats. OBJECTIVES: We conducted a scoping review to characterize the early impact of COVID-19 on HIV, tuberculosis, malaria, sexual and reproductive health, and malnutrition. METHODS: A scoping literature review was completed using searches of PubMed and preprint servers (medRxiv/bioRxiv) from November 1st, 2019 to October 31st, 2020, using Medical Subject Headings (MeSH) terms related to SARS-CoV-2 or COVID-19 and HIV, tuberculosis, malaria, sexual and reproductive health, and malnutrition. Empiric studies reporting original data collection or mathematical models were included, and available data synthesized by region. Studies were excluded if they were not written in English. RESULTS: A total of 1604 published papers and 205 preprints were retrieved in the search. Overall, 8.0% (129/1604) of published studies and 10.2% (21/205) of preprints met the inclusion criteria and were included in this review: 7.3% (68/931) on HIV, 7.1% (24/339) on tuberculosis, 11.6% (26/224) on malaria, 7.8% (19/183) on sexual and reproductive health, and 9.8% (13/132) on malnutrition. Thematic results were similar across competing health risks, with substantial indirect effects of the COVID-19 pandemic and response on diagnostic, prevention, and treatment services for HIV, tuberculosis, malaria, sexual and reproductive health, and malnutrition. DISCUSSION: COVID-19 emerged in the context of existing public health threats that result in millions of deaths every year. Thus, effectively responding to COVID-19 while minimizing the negative impacts of COVID-19 necessitates innovation and integration of existing programs that are often siloed across health systems. Inequities have been a consistent driver of existing health threats; COVID-19 has worsened disparities, reinforcing the need for programs that address structural risks. The data reviewed here suggest that effective strengthening of health systems should include investment and planning focused on ensuring the continuity of care for both rapidly emergent and existing public health threats.

Estimating the epidemic consequences of HIV prevention gaps among key populations.

INTRODUCTION: HIV epidemic appraisals are used to characterize heterogeneity and inequities in the context of the HIV pandemic and the response. However, classic measures used in appraisals have been shown to underestimate disproportionate risks of onward transmission, particularly among key populations. In response, a growing number of modelling studies have quantified the consequences of unmet prevention and treatment needs (prevention gaps) among key populations as a transmission population attributable fraction over time (tPAFt ). To aid its interpretation and use by programme implementers and policy makers, we outline and discuss a conceptual framework for understanding and estimating the tPAFt via transmission modelling as a measure of onward transmission risk from HIV prevention gaps; and discuss properties of the tPAFt . DISCUSSION: The distribution of onward transmission risks may be defined by who is at disproportionate risk of onward transmission, and under which conditions. The latter reflects prevention gaps, including secondary prevention via treatment: the epidemic consequences of which may be quantified by the tPAFt . Steps to estimating the tPAFt include parameterizing the acquisition and onward transmission risks experienced by the subgroup of interest, defining the most relevant counterfactual scenario, and articulating the time-horizon of analyses and population among whom to estimate the relative difference in cumulative transmissions; such steps could reflect programme-relevant questions about onward transmission risks. Key properties of the tPAFt include larger onward transmission risks over longer time-horizons; seemingly mutually exclusive tPAFt measures summing to greater than 100%; an opportunity to quantify the magnitude of disproportionate onward transmission risks with a per-capita tPAFt ; and that estimates are conditional on what has been achieved so far in reducing prevention gaps and maintaining those conditions moving forward as the status quo. CONCLUSIONS: The next generation of HIV epidemic appraisals has the potential to support a more specific HIV response by characterizing heterogeneity in disproportionate risks of onward transmission which are defined and conditioned on the past, current and future prevention gaps across subsets of the population.