Background: Corruption exists at all levels of our global society and is a potential threat to food security, food safety, equity, and social justice. However, there is a knowledge gap in the role and impact of corruption within the context of the global food system. We aimed to systematically review empirical literature focused on corruption in the global food system to examine how it is characterized, the actors involved, its potential impacts, and the solutions that have been proposed to address corruption in the food system.
Methods: We used a systematic scoping review methodology. Terms combining corruption and the food system were searched in Scopus, PubMed, Web of Science, PsycInfo and Econlit, in October 2021. Two screeners applied a priori selection criteria to screen the articles at the title and abstract and full-text levels. Data was extracted into a charting form and thematically synthesized to describe the types of corruption in the food system, the actors involved, how corruption impacts the food system, and potential solutions. Sankey diagrams and narrative summaries were developed to summarize the included studies and findings.
Results: From the 238 included records, five main types of corruption were identified in the global food system: bureaucratic corruption, fraud, bribery, organized crime, and corporate political activity. These different types of corruption spanned across various food system areas, from policy and governance structures to food environments, and involved a wide range of actors. More powerful actors like those in public and private sectors tended to instigate corruption in the food system, while community members and primary producers tended to be impacted by it. The impacts of corruption were mostly negative and corruption was found to undermine food system governance and regulatory structures; threaten health, safety, and food security; and lead or contribute to environmental degradation, economic loss, erosion of trust, social inequities, and decreased agricultural productivity. While solution-oriented literature was limited, the essential role of strong governance, use of technology and predictive modelling methods to improve detection of corruption, and organizational approaches to problem solving were identified.
Conclusion: Our review findings provide researchers and policymakers with a comprehensive overview of corruption in the global food system, providing insights to inform a more holistic approach to addressing the issue. Addressing corruption in the food system is an essential element of supporting the transition to a more healthy, equitable and sustainable global food system.
Background: There are only two major statements which define alcohol policy development at the global level. There has not been any comparative analysis of the details of these key texts, published in 2010 and 2022 respectively, including how far they constitute similar or evolving approaches to alcohol harm.
Methods: Preparatory data collection involved examination of documents associated with the final policy statements. A thematic analysis across the two policy documents was performed to generate understanding of continuity and change based on comparative study. Study findings are interpreted in the contexts of the evolving conceptual and empirical literatures.
Results: Both documents exhibit shared guiding principles and identify similar governance challenges, albeit with varying priority levels. There is more emphasis on the high-impact interventions on price, availability and marketing in 2022, and more stringent targets have been set for 2030 in declaring alcohol as a public health priority therein, reflecting the action-oriented nature of the Plan. The identified roles of policy actors have largely remained unchanged, albeit with greater specificity in the more recent statement, appropriately so because it is concerned with implementation. The major exception, and the key difference in the documents, regards the alcohol industry, which is perceived primarily as a threat to public health in 2022 due to commercial activities harmful to health and because policy interference has slowed progress.
Conclusions: The adoption of the Global Alcohol Action Plan 2022-30 potentially marks a pivotal moment in global alcohol policy development, though it is unclear how fully it may be implemented. Perhaps, the key advances lie in advancing the ambitions of alcohol policy and clearly identifying that the alcohol industry should not be seen as any kind of partner in public health policymaking, which will permit progress to the extent that this influences what actually happens in alcohol policy at the national level.
Background: Thailand has expressed interest in joining the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), a twelve-country plurilateral trade agreement whose original incarnation included the United States of America (USA). When the USA withdrew from this agreement, key intellectual property clauses relevant to pharmaceuticals were suspended. These could be reinstated should the CPTPP Parties decide to do so.
Methods: This study uses two scenarios to cost the impact the CPTPP would have had on Thailand's 2020 hepatitis C treatment regime if Thailand joined the CPTPP and suspended clauses were reinstated.
Results: Joining the CPTPP could have increased the cost more than tenfold if suspended CPTPP clauses were reinstated and Thailand was not willing or able to issue compulsory licenses. Based on the 2020 budget, the price for this possible scenario could have reduced hepatitis C treatment coverage by 90%.
Conclusions: Acceding to trade agreements such as the CPTPP that require increasing intellectual property protection, could compromise Thailand's hepatitis C program and other national treatment programs reliant on affordable generic medicines. The CPTPP could also prevent Thailand from relying on its own pharmaceutical capabilities to manufacture medicines needed to sustain its treatment programs.
Background: In conflict settings, as it is the case in Syria, it is crucial to enhance health information management to facilitate an effective and sustainable approach to strengthening health systems in such contexts. In this study, we aim to provide a baseline understanding of the present state of health information management in Northwest Syria (NWS) to better plan for strengthening the health information system of the area that is transitioning to an early-recovery stage.
Methods: A combination of questionnaires and subsequent interviews was used for data collection. Purposive sampling was used to select twenty-one respondents directly involved in managing and directing different domains of health information in the NWS who worked with local NGOs, INGOs, UN-agencies, or part of the Health Working Group. A scoring system for each public health domain was constructed based on the number and quality of the available datasets for these domains, which were established by Checci and others.
Results & conclusions: Reliable and aggregate health information in the NWS is limited, despite some improvements made over the past decade. The conflict restricted and challenged efforts to establish a concentrated and harmonized HIS in the NWS, which led to a lack of leadership, poor coordination, and duplication of key activities. Although the UN established the EWARN and HeRAMS as common data collection systems in the NWS, they are directed toward advocacy and managed by external experts with little participation or access from local stakeholders to these datasets.
Recommendations: There is a need for participatory approaches and the empowerment of local actors and local NGOs, cooperation between local and international stakeholders to increase access to data, and a central domain for planning, organization, and harmonizing the process. To enhance the humanitarian health response in Syria and other crisis areas, it is imperative to invest in data collection and utilisation, mHealth and eHealth technologies, capacity building, and robust technical and autonomous leadership.
The advancement of artificial intelligence (AI), algorithm optimization and high-throughput experiments has enabled scientists to accelerate the discovery of new chemicals and materials with unprecedented efficiency, resilience and precision. Over the recent years, the so-called autonomous experimentation (AE) systems are featured as key AI innovation to enhance and accelerate research and development (R&D). Also known as self-driving laboratories or materials acceleration platforms, AE systems are digital platforms capable of running a large number of experiments autonomously. Those systems are rapidly impacting biomedical research and clinical innovation, in areas such as drug discovery, nanomedicine, precision oncology, and others. As it is expected that AE will impact healthcare innovation from local to global levels, its implications for science and technology in emerging economies should be examined. By examining the increasing relevance of AE in contemporary R&D activities, this article aims to explore the advancement of artificial intelligence in biomedical research and health innovation, highlighting its implications, challenges and opportunities in emerging economies. AE presents an opportunity for stakeholders from emerging economies to co-produce the global knowledge landscape of AI in health. However, asymmetries in R&D capabilities should be acknowledged since emerging economies suffers from inadequacies and discontinuities in resources and funding. The establishment of decentralized AE infrastructures could support stakeholders to overcome local restrictions and opens venues for more culturally diverse, equitable, and trustworthy development of AI in health-related R&D through meaningful partnerships and engagement. Collaborations with innovators from emerging economies could facilitate anticipation of fiscal pressures in science and technology policies, obsolescence of knowledge infrastructures, ethical and regulatory policy lag, and other issues present in the Global South. Also, improving cultural and geographical representativeness of AE contributes to foster the diffusion and acceptance of AI in health-related R&D worldwide. Institutional preparedness is critical and could enable stakeholders to navigate opportunities of AI in biomedical research and health innovation in the coming years.
The spread of infectious diseases was further promoted due to busy cities, increased travel, and climate change, which led to outbreaks, epidemics, and even pandemics. The world experienced the severity of the 125 nm virus called the coronavirus disease 2019 (COVID-19), a pandemic declared by the World Health Organization (WHO) in 2019. Many investigations revealed a strong correlation between humidity and temperature relative to the kinetics of the virus's spread into the hosts. This study aimed to solve the riddle of the correlation between environmental factors and COVID-19 by applying RepOrting standards for Systematic Evidence Syntheses (ROSES) with the designed research question. Five temperature and humidity-related themes were deduced via the review processes, namely 1) The link between solar activity and pandemic outbreaks, 2) Regional area, 3) Climate and weather, 4) Relationship between temperature and humidity, and 5) the Governmental disinfection actions and guidelines. A significant relationship between solar activities and pandemic outbreaks was reported throughout the review of past studies. The grand solar minima (1450-1830) and solar minima (1975-2020) coincided with the global pandemic. Meanwhile, the cooler, lower humidity, and low wind movement environment reported higher severity of cases. Moreover, COVID-19 confirmed cases and death cases were higher in countries located within the Northern Hemisphere. The Blackbox of COVID-19 was revealed through the work conducted in this paper that the virus thrives in cooler and low-humidity environments, with emphasis on potential treatments and government measures relative to temperature and humidity. HIGHLIGHTS: • The coronavirus disease 2019 (COIVD-19) is spreading faster in low temperatures and humid area. • Weather and climate serve as environmental drivers in propagating COVID-19. • Solar radiation influences the spreading of COVID-19. • The correlation between weather and population as the factor in spreading of COVID-19.
Background: Traffic-related crashes are a leading cause of premature death and disability. The safe systems approach is an evidence-informed set of innovations to reduce traffic-related injuries and deaths. First developed in Sweden, global health actors are adapting the model to improve road safety in low- and middle-income countries via technical assistance (TA) programs; however, there is little evidence on road safety TA across contexts. This study investigated how, why, and under what conditions technical assistance influenced evidence-informed road safety in Accra (Ghana), Bogotá (Colombia), and Mumbai (India), using a case study of the Bloomberg Philanthropies Initiative for Global Road Safety (BIGRS).
Methods: We conducted a realist evaluation with a multiple case study design to construct a program theory. Key informant interviews were conducted with 68 government officials, program staff, and other stakeholders. Documents were utilized to trace the evolution of the program. We used a retroductive analysis approach, drawing on the diffusion of innovation theory and guided by the context-mechanism-outcome approach to realist evaluation.
Results: TA can improve road safety capabilities and increase the uptake of evidence-informed interventions. Hands-on capacity building tailored to specific implementation needs improved implementers' understanding of new approaches. BIGRS generated novel, city-specific analytics that shifted the focus toward vulnerable road users. BIGRS and city officials launched pilots that brought evidence-informed approaches. This built confidence by demonstrating successful implementation and allowing government officials to gauge public perception. But pilots had to scale within existing city and national contexts. City champions, governance structures, existing political prioritization, and socio-cultural norms influenced scale-up.
Conclusion: The program theory emphasizes the interaction of trust, credibility, champions and their authority, governance structures, political prioritization, and the implement-ability of international evidence in creating the conditions for road safety change. BIGRS continues to be a vehicle for improving road safety at scale and developing coalitions that assist governments in fulfilling their role as stewards of population well-being. Our findings improve understanding of the complex role of TA in translating evidence-informed interventions to country-level implementation and emphasize the importance of context-sensitive TA to increase impact.
Background: Countries in the Global South are currently facing momentous economic and social challenges, including major debt service problems. As in previous periods of global financial instability, a growing number of countries have turned to the International Monetary Fund (IMF) for financial assistance. The organization has a long track-record of advocating for extensive fiscal consolidation-commonly known as 'austerity'-for its borrowers. However, in recent years, the IMF has announced major initiatives for ensuring that its loans support social spending, thus aiding countries in meeting their development targets and the Sustainable Development Goals. To assess this track record, we collected spending data on 21 loans signed in the 2020-2022 period, including from all their periodic reviews up to August 2023.
Results: We find that austerity measures remain a core part of the organization's mandated policies for its borrowers: 15 of the 21 countries studied here experience a decrease in fiscal space over the course of their IMF programs. Against this fiscal backdrop, social spending floors have failed to live up to their promise. There is no streamlined definition of these floors, thus rendering their application haphazard and inconsistent. But even on their own terms, these floors lack ambition: they often do not foresee trajectories of meaningful social spending increases over time, and, when they do, many of these gains are eaten up by soaring inflation. In addition, a third of social spending floors are not implemented-a much lower implementation rate from that for austerity conditions, which the IMF prioritizes. In several instances, where floors are implemented, they are not meaningfully exceeded, thus-in practice-acting as social spending ceilings.
Conclusions: The IMF's lending programs are still heavily focused on austerity, and its strategy on social spending has not represented the sea-change that the organization advertised. At best, social spending floors act as damage control for the painful budget cuts: they are instruments of social amelioration, underpinned by principles of targeted assistance for highly disadvantaged groups. Alternative approaches rooted in principles of universalism can be employed to build up durable and resilient social protection systems.
Background: In response to the harm caused by tobacco use worldwide, the World Health Organization (WHO) World Health Assembly actioned the WHO Framework Convention on Tobacco Control (FCTC) in 2005. To help countries meet their FCTC obligations, the WHO introduced in 2008 the MPOWER policy package and by 2020 the FCTC had been ratified by 182 parties. The package consists of six evidence-based demand reduction smoking cessation policies to assist countries to achieve best practice. We used published evaluation results and replicated the published model to estimate current policy achievement and demonstrate the impact and equity of the MPOWER policy package in reducing the global number of smokers and smoking-attributable deaths (SADs) between 2007 and 2020.
Methods: We replicated an evaluation model (the Abridged SimSmoke model) used previously for country impact assessments and validated our replicated reduction in SADs for policies between 2014 and 2016 against the published results. The replicated model was then applied to report on the country level SADs averted from achieving the highest level of implementation, that is best practice in MPOWER policies, between 2016 and 2020. The latest results were then combined with past published results to estimate the reduction in SADs since the commencement of the MPOWER policy package. Country level income status was used to investigate the equity in the uptake of MPOWER policies worldwide.
Results: Identical estimates for SADs in 41 out of 56 MPOWER policies implemented in 43 countries suggested good agreement in the model replication. The replicated model overestimated the reduction in SADs by 159,800 (1.5%) out of a total of 10.5 million SADs with three countries contributing to the majority of this replication discrepancy. Updated analysis estimated a reduction of 8.57 million smokers and 3.37 million SADs between 2016 and 2020. Between 2007 and 2020, 136 countries had adopted and maintained at least one MPOWER policy at the highest level which was associated with a reduction in 81.0 million smokers and 28.3 million SADs. Seventy five percent of this reduction was in middle income countries, 20% in high income and less than 5% in low income countries.
Conclusions: Considerable progress has been made by MPOWER policies to reduce the prevalence of smokers globally. However, there is inequality in the implementation and maintenance, reach and influence, and the number of SADs averted. Future research to modify the model could provide a more comprehensive evaluation of past and future progress in tobacco control policies, worldwide.
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