Health Aid Research Articles

An analysis of humanitarian and health aid harmonisation over a decade (2011–2019) of the Syrian conflict

IntroductionAid harmonisation is a key component of donor efforts to make aid more effective by improving coordination and simplifying and sharing information to avoid duplication. This study evaluates the harmonisation...

Does donor country impact the efficacy of health aid?: Evidence from the COVID‐19 pandemic

AbstractDuring the coronavirus disease 2019 (COVID‐19) pandemic, many nations relied on unprecedented amounts of health‐sector aid to efficiently vaccinate their populations. These vaccines and supporting materials came from a variety of traditional and nontraditional donors, with the majority donor differing by recipient country. Previous research has examined the political benefits to donor states of providing health aid before and during the COVID‐19 pandemic. Less is known, however, about how recipients view health aid based on the donor and whether this impacts health aid resource use. This research aims to investigate whether recipient preferences over the source of health assistance affects the efficacy of aid, while using a novel vax‐score method to account for existing trends and predictors of vaccine uptake. Using COVID‐19 vaccine donation and uptake statistics collected by the Duke Global Health Innovation Center, the IMF, and the World Health Organization, we compare vaccine uptake across many vaccine recipient countries to investigate the impact of vaccine origin (Chinese vs. non‐Chinese source). We find that while increased donated vaccines per capita significantly raises the proportion of the population vaccinated at 12 months, the source of the donated vaccines has no impact. Previously reported recipient‐side concerns over vaccine origin have no impact on population‐level uptake at 12 months. Additionally, we observe that a vax‐score metric derived from vaccine uptake of a suite of childhood vaccines predicts COVID‐19 vaccine uptake beyond differences in GDP and GDP per capita. These results have implications for health aid policy and future research into foreign aid efficacy.

Examining aid fragmentation and collaboration opportunities in Cambodia’s health sector

BackgroundCambodia’s health sector faces significant challenges exacerbated by aid fragmentation, where development aid is dispersed among numerous small, uncoordinated projects. This study examines the distribution of health sector aid among Cambodia’s principal donors to identify priorities, overlaps, and potential collaboration opportunities, addressing the urgent need for aid efficiency and alignment with national health priorities.MethodsUtilizing OECD datasets and the Herfindahl-Hirschman Index (HHI) for the years 2010–2021, this study quantifies aid fragmentation within Cambodia’s health sector. It analyzes aid allocations from the top five donors—United States, Australia, South Korea, Japan, and Germany—across various health projects and initiatives, evaluating the extent of fragmentation and identifying areas for potential donor collaboration.ResultsThis study’s findings highlight a pervasive issue of aid fragmentation within Cambodia’s health sector, evident through the sector’s low HHI score. This indicates a widespread distribution of aid across numerous small-scale initiatives, rather than targeted, unified efforts. A notable example includes Japan and Korea, which exhibit lower HHI scores, indicating a more pronounced fragmentation in their aid allocation. These countries’ contributions are spread across various sectors without a dominant focus, contrasting with the United States’ significant dedication to infectious disease control. However, beyond this specific area, the US’s aid distribution across other priority health areas shows signs of fragmentation. This scattered approach to aid allocation, even amidst instances of focused support, illustrates the overarching challenge of aligning donor contributions with the holistic needs of Cambodia’s health infrastructure.ConclusionsThis investigation highlights the critical need for enhanced collaboration and strategic harmonization among international donors to mitigate aid fragmentation in Cambodia’s health sector. It underscores the importance of adopting integrated and priority-aligned aid strategies to improve the efficiency and impact of health aid. By fostering synergistic partnerships and harmonizing donor efforts, there is a potential to create a more cohesive support framework that resonates with Cambodia’s comprehensive health requirements and contributes to sustainable health outcomes. Such harmonization not only aligns with Sustainable Development Goal 3 by optimizing health services and outcomes but also strengthens global partnerships under Sustainable Development Goal 17, fostering a unified approach to international development.

Advanced Techniques for Real-time Facial Expression Recognition Using Deep Learning

Abstract—Developing systems that can automatically recognize and interpret human emotions from facial expressions is the aim of the quickly expanding field of facial emotion identification and detection research. This technology finds applications in a wide range of areas, including as healthcare, marketing, security, and human-computer interface. Using computer vision and machine learning algorithms, facial emotion recognition systems analyze a face’s features and classify it into numerous emotional categories, including joyful, sorrowful, angry, fearful, and surprised.The three steps in the multi-step process that goes into identifying facial emotions are face detection, facial feature extraction, and emotion categorization. Thanks to recent advances in deep learn- ing, facial emotion detection systems can now identify emotions with high resilience and precision. Further, the development of real-time face expression recognition systems has opened up new avenues for applications such as sentiment analysis, emotional intelligence, and affective computing. This technology could fundamentally alter human-machine interactions and open the way to more compassionate and personalized relationships.A multitude of applications, including virtual assistants, mental health aids, and human-centered technology, will be greatly impacted by the development of systems for identifying and de- tecting facial expressions. Artificial intelligence (AI) technologies that recognize emotions allow people to interact with the digital world in more intelligent and flexible ways. But the complexity of emotion identification lies in the fact that it requires context and geometric elements in addition to facial expressions.

Does health aid matter to financial risk protection? A regression analysis across 159 household surveys, 2000–2016

IntroductionUniversal Health Coverage (UHC) is a widely accepted objective among entities providing development assistance for health (DAH) and DAH recipient governments. One key metric to assess progress with UHC is financial risk protection, but empirical evidence on the extent to which DAH is associated to financial risk protection (and hence UHC) is scarce. MethodsOur sample is comprised of 65 countries whose DAH per capita is above the population -weighted average DAH per capita across all countries. The sample comprises of 1.7 million household observations, for the period 2000–2016. We run country and year fixed effects regressions, and pseudo-panel models, to assess the association between DAH and three measures of financial risk protection: catastrophic health expenditure (i.e., out-of-pocket health expenditures larger than 10% of total household expenditures [‘CHE10%‘]), out-of-pocket health expenditure as a share of total expenditure (‘OOP%‘), and impoverishment due to health expenditures, at the 1.90US$ per day poverty line (‘IMP190’). Resultson average, DAH investment does not appear to be significantly associated with financial risk protection outcomes. However, we find suggestive evidence that a 1 US$ increase in DAH per capita is negatively associated (i.e., an improvement) with at least one financial risk protection outcome for the poorest household quintile within countries (in fixed effects models, IMP190: 0.05 percentage points, p < 0.1; in pseudo-panel models, CHE10%: 0.12 percentage points, p < 0.01). DAH is also negatively associated (i.e., an improvement) with most financial risk protection outcomes when it is largely channelled via government systems (i.e., when it is “on-budget”) (CHE10%: 0.68 percentage points, p < 0.05). Several robustness checks confirm these results. DiscussionDAH investments require careful planning to improve financial risk protection. For example, positive DAH effects for the poorest quintiles of the population might be driven by DAH targeting poorer populations and doing so effectively. Our results also suggest that channelling more resources via governments might be a promising avenue to enhance the impact of DAH on financial risk protection.

Traditional knowledge of wild plants on traditional tools, materials, products and economic practices in southern Yemen

BackgroundThe traditional knowledge in southern Yemen is rich in wild medicinal and food plants, which has been documented in our previous studies. In addition, other significant and general traditional usage for the daily livelihood requirements of local people (beyond medicinal and food plant uses) has not been studied before and needs urgent documentation.MethodsEthnobotanical data on of wild plants used by local people in southern Yemen were collected by oral questionnaire interviews. Most informants (n = 1020) were local elderly from 15 different localities in southern Yemen. The local names and non-medicinal and non-food uses of plants were identified and analyzed.ResultsThe ethnobotanical data resulted various traditional uses of 73 plant species distributed in 28 families. The most represented families were Fabaceae, Asteraceae and Malvaceae. The most growth forms were trees and shrubs. Seven main and common categories of traditional uses were determined and classified as handicraft, health aids, livestock husbandry and beekeeping, economic and commercial plant products, agriculture tools, construction timber and fuel. The most cited species were identified for Ziziphus spina-christi, Vachellia tortilis, Vachellia nilotica, Anisotes trisulcus, Dracaena hanningtonii (Sansevieria ehrenbergii) and Aerva javanica, which have multi-purpose values of traditional usage. Nine major traditional uses of local wild plants were recorded: handicraft, agriculture tools, products aid general health, economic products, construction timber, livestock husbandry, bee keeping, fuel and ornamental.ConclusionsDespite the challenges on local traditional knowledge of wild plants, it still requested vital to many usages of traditional life and still have an economic value and heritage required of develop the daily livelihood level of the local people especially in rural areas. This includes the traditional uses of wild plants in handicraft skills, tools of agriculture, constructions. The importance of the continuity of traditional industries and their transmission to generations lies in the local population’s reliance on local natural resources without relying on external resources in situations such as wars. This is the first study that contributes to documenting and analyzing the indigenous knowledge on traditional general usage of wild plants in southern Yemen.

Political ideology and big pharma in the allocation of health aid

ABSTRACT Building on the framework of Suzuki (2020), we examine to what extent a change in the governing party in donor countries influences the composition of health aid to developing countries. We find that left of centre governments allocate less health aid to purchase pharmaceuticals but not in donor countries with larger pharmaceutical industries.

Assessing the Responses of Large Language Models (ChatGPT-4, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Breast Imaging: A Study on Readability and Accuracy.

Background Large language models (LLMs), such as ChatGPT-4, Gemini, and Microsoft Copilot, have been instrumental in various domains, including healthcare, where they enhance health literacy and aid in patient decision-making. Given the complexities involved in breast imaging procedures, accurate and comprehensible information is vital for patient engagement and compliance. This study aims to evaluate the readability and accuracy of the information provided by three prominent LLMs, ChatGPT-4, Gemini, and Microsoft Copilot, in response to frequently asked questions in breast imaging, assessing their potential to improve patient understanding and facilitate healthcare communication. Methodology We collected the most common questions on breast imaging from clinical practice and posed them to LLMs. We then evaluated the responses in terms of readability and accuracy. Responses from LLMs were analyzed for readability using the Flesch Reading Ease and Flesch-Kincaid Grade Level tests and for accuracy through a radiologist-developed Likert-type scale. Results The study found significant variations among LLMs. Gemini and Microsoft Copilot scored higher on readability scales (p < 0.001), indicating their responses were easier to understand. In contrast, ChatGPT-4 demonstrated greater accuracy in its responses (p < 0.001). Conclusions While LLMs such as ChatGPT-4 show promise in providing accurate responses, readability issues may limit their utility in patient education. Conversely, Gemini and Microsoft Copilot, despite being less accurate, are more accessible to a broader patient audience. Ongoing adjustments and evaluations of these models are essential to ensure they meet the diverse needs of patients, emphasizing the need for continuous improvement and oversight in the deployment of artificial intelligence technologies in healthcare.

Medical mistrust, discrimination and healthcare experiences in a rural Namibian community

ABSTRACT Substantial evidence indicates that medical mistrust, resulting from experiences with discrimination and marginalisation, is a determinant of health disparities in minority populations. However, this research is largely limited to the US and other industrialised countries. To broaden our understanding of the role of medical mistrust on health-care decision making, we conducted a study on healthcare experiences and perceptions in a rural, underserved indigenous community in northwest Namibia (n = 86). Mixing semi-structured interview questions with the medical mistrust index (MMI), we aim to determine the relevance of the MMI in a non-industrialised population and compare index scores with reports of healthcare experiences. We find that medical mistrust is a salient concept in this community, mapping onto negative healthcare experiences and perceptions of discrimination. Reported healthcare experiences indicate that perceived incompetence, maltreatment and discrimination drive mistrust of medical personnel. However, reporting of recent healthcare experiences are generally positive. Our results indicate that the concept of medical mistrust can be usefully applied to communities in the Global South. These populations, like minority communities in the US, translate experiences of discrimination and marginalisation into medical mistrust. Understanding these processes can help address health disparities and aid in effective public health outreach in underserved populations.

Did aid to the Ebola crisis divert aid for reproductive, maternal, and newborn health? An analysis of donor-reported data in Sierra Leone

BackgroundInfectious disease outbreaks like Ebola and Covid-19 are increasing in frequency. They may harm reproductive, maternal and newborn health (RMNH) directly and indirectly. Sierra Leone experienced a sharp deterioration of RMNH during the 2014–16 Ebola epidemic. One possible explanation is that donor funding may have been diverted away from RMNH to the Ebola response.MethodsWe analysed donor-reported data from the Organisation for Economic Cooperation and Development (OECD)’s Creditor Reported System (CRS) data for Sierra Leone before, during and after the 2014–16 Ebola epidemic to understand whether aid flows for Ebola displaced aid for RMNH. We estimated aid for Ebola using key term searches and manual review of CRS records. We estimated aid for RMNH by applying the Muskoka-2 algorithm to the CRS and analysing CRS purpose codes.ResultsWe find substantial increases in aid to Sierra Leone (from $484 million in 2013 to $1 billion at the height of the epidemic in 2015), most of which was earmarked for the Ebola response. Overall, Ebola aid was additional to RMNH funding. RMNH aid was sustained during the epidemic (at $42 m per year) and peaked immediately after (at $77 m in 2016). There is some evidence of a small displacement of RMNH aid from the UK during the period when its Ebola funding increased.ConclusionsModest changes to RMNH donor aid patterns are insufficient to explain the severe decline in RMNH indicators recorded during the outbreak. Our findings therefore suggest the need for substantial increases in routine aid to ensure that basic RMNH services and infrastructure are strong before an epidemic occurs, as well as increased aid for RMNH during epidemics like Ebola and Covid-19, if reproductive, maternal and newborn healthcare is to be maintained at pre-epidemic levels.

A Smartphone App to Support Self-Management for People Living With Sjögren's Syndrome: Qualitative Co-Design Workshops.

Sjögren's syndrome (SS) is the second most common autoimmune rheumatic disease, and the range of symptoms includes fatigue, dryness, sleep disturbances, and pain. Smartphone apps may help deliver a variety of cognitive and behavioral techniques to support self-management in SS. However, app-based interventions must be carefully designed to promote engagement and motivate behavior change. We aimed to explore self-management approaches and challenges experienced by people living with SS and produce a corresponding set of design recommendations that inform the design of an engaging, motivating, and evidence-based self-management app for those living with SS. We conducted a series of 8 co-design workshops and an additional 3 interviews with participants who were unable to attend a workshop. These were audio recorded, transcribed, and initially thematically analyzed using an inductive approach. Then, the themes were mapped to the Self-Determination Theory domains of competency, autonomy, and relatedness. Participants experienced a considerable demand in the daily work required in self-managing their SS. The condition demanded unrelenting, fluctuating, and unpredictable mental, physical, and social efforts. Participants used a wide variety of techniques to self-manage their symptoms; however, their sense of competency was undermined by the complexity and interconnected nature of their symptoms and affected by interactions with others. The daily contexts in which this labor was occurring revealed ample opportunities to use digital health aids. The lived experience of participants showed that the constructs of competency, autonomy, and relatedness existed in a complex equilibrium with each other. Sometimes, they were disrupted by tensions, whereas on other occasions, they worked together harmoniously. An SS self-management app needs to recognize the complexity and overlap of symptoms and the complexities of managing the condition in daily life. Identifying techniques that target several symptoms simultaneously may prevent users from becoming overwhelmed. Including techniques that support assertiveness and communication with others about the condition, its symptoms, and users' limitations may support users in their interactions with others and improve engagement in symptom management strategies.For digital health aids (such as self-management apps) to provide meaningful support, they should be designed according to human needs such as competence, autonomy, and relatedness. However, the complexities among the 3 Self-Determination Theory constructs should be carefully considered, as they present both design difficulties and opportunities.

Nebraska providers brace as funds are removed from state budget

Mental health organizations in Nebraska look to be among the entities in the state that will feel the pinch from an effort to retrieve unspent funds in the state budget. Nebraska Gov. Jim Pillen this month signed a budget adjustments bill that removes $15 million in state behavioral health aid.

Coordination and modularization: the experience of the joint prevention and control mechanism to COVID emergencies in China.

The integration of disparate emergency resources and the improvement of emergency response teamwork are the underlying trends and shared requirements for building resilience in an era of multiple global public health crises. This study investigated the emergency response with emergency collaboration networks of each functional module and the overall Joint Epidemic Prevention and Control Mechanism (JPCM) network in China's COVID outbreak prevention and control. The study employed a scholarly framework of "the integration of JPCM coordination and emergency collaborative modularization" to explore the attributes of JPCM using social network analysis. The data were obtained from administrative records from JPCM's official website, spanning January 2020 to December 2022. The study examined the JPCM coordination and found several functional working modules of JPCM, such as Interrupt Spread, Manage Supply, Medical Rescue, Restore Work and Production, and Implement Responsibility modules. The network structure indicators showed that the Manage Supply module had the most extensive network connectivity, the shortest communication distance, and the most consistent collaboration. The E-I index of the overall JPCM network and the Manage Supply network were - 0.192 and - 0.452, respectively (at p < 0.001 and p < 0.05), indicating more internal relationships than external relationships. The E-I index of the Medical Rescue and Implement Responsibility collaboration networks were 0.122 and 0.147, respectively (at p < 0.001 and p < 0.05), indicating more external relationships than internal relationships. The QAP regression analysis showed that the most vital driver on the overall JPCM network was the Interrupt Spread module, followed by the Implement Responsibility and Medical Rescue modules. The Interrupt Spread module initiated emergency coordination with most departments and agencies. The Manage Supply module ensured the flow of medical supplies and survival essentials, while the Medical Rescue module addressed the core aspects of the health emergency response. The Restore Work and Production module repaired the halt in production and livelihoods caused by the outbreak, strengthening and developing emergency coordination and roles across emergency organizations. The Implement Responsibility module provided more heterogeneous emergency response resources for the overall JPCM coordination, complementing the COVID cross-organizational emergency response coordination. The study on the JPCM case in China improves public health emergency management and aids informed decision-making.

Cycling and heart failure: A 2-sample Mendelian randomization.

Heart failure (HF) is a major cause of mortality worldwide. Cycling, an aerobic exercise, is believed to have a more effective rehabilitative impact on patients with heart failure. Previous studies have demonstrated the benefits of exercise in patients with HF. However, a precise causal relationship remains unknown. Two-sample Mendelian randomization (MR) was used to investigate the potential causal relationship between regular cardiac cycling and heart failure (HF) development. Data from the IEU OpenGWAS project, an extensive genetic study involving a diverse group of European males and females was used to determine how choices related to physical activity, such as cycling, impact cardiovascular well-being. To ensure reliability and robustness, the MR-Egger regression, weighted median, and random effects with inverse variance weighting methods were used. The key findings were summarized using odds ratio (OR) and 95% confidence intervals (CI). The MR-Egger, weighted mean, and inverse variance weighted (IVW) estimated superiority ratios were 0.960 (95% CI: 0.909-1.013), 0.985 (95% CI: 0.962-1.009), and 0.982 (95% CI: 0.966-0.998), respectively, indicating a significant association between cycling and a decreased risk of heart failure. These findings suggest that cycling, a form of moderate and easily accessible physical activity, may be a protective factor against HF. These findings correlate with those of previous studies regarding the crucial role of regular physical activity for the prevention and management of cardiovascular disease. The outcomes of this MR analysis can be used in the development of public health policies and aid individuals making lifestyle choices that promote heart health.

Analysing the effect of foreign aid on industrialization: Evidence from Africa

The importance of industrialization as an engine of economic growth and structural transformation has been largely documented. Despite the benefits of industrialization, Africa has witnessed a de-industrialization in recent decades. This means that some important determinants of industrialization remain unidentified in Africa. This study fills this gap by analysing the effect of foreign aid on industrialization in 42 African countries over the period 1995–2021. Using the two-step system Generalized Method of Moments, the following results are established. First, on average, foreign aid hurts industrialization in Africa. Second, the effect of foreign aid depends on the nature of the aid since education and energy aid improve industrialization while health and humanitarian aid negatively affect it. Third, we find a U-shaped relationship between foreign aid and industrialization. Interestingly, democracy and human capital can mitigate the negative effect of foreign aid on industrialization. These results have strong economic policy implications for African countries, showing that they should put in more effort to strengthen their level of democracy and human capital in order to enjoy the positive effect of foreign aid on industrialization. Finally, this research contributes to the development of aid distribution plans that support African nations' industrialization.

The Relationship Between Health aid and Health Outcomes and the Role of Domestic Healthcare Expenditure in Developing Countries

Foreign aid is a controversial tool for helping developing countries achieve economic growth and welfare. Nevertheless, the early 2000s saw a rise in development assistance dedicated to the health sector. The concept of sustainable development highlights the importance of a healthy population to achieve overall development. Using a dataset containing Official Development Assistance channelled towards 100 countries between 2002 and 2020, this paper studies the effect of health aid on health outcomes. To test aid effectiveness, regression models are estimated using infant mortality and life expectancy as proxies for health outcomes. The analyses show that health aid has a positive effect on population health. Moreover, this study tests whether domestic government health expenditure can give further insights into the complex relationship between aid and health improvements. Results yield no significant effect of health aid on public health expenditure; hence no mediation effect can be found. Findings are robust to varying controls and an instrumental variable approach, where two-year lagged health aid is used as instrument. Results also suggest that socioeconomic factors like urbanisation have a positive effect on health outcomes, which implies that population health depends on many factors besides monetary resources.

Does Norwegian Aid Reward Equitable Access to Health in Recipient States? Assessing a ‘Moral Superpower’s’ Aid to Pro-Poor Development, 1990–2019

We assess if Norwegian aid policies, widely heralded for being morally driven, rewards pro-poor governance. If higher levels of equitable access to health attracts higher levels of Norwegian aid, one might argue that Norwegian aid prioritizes the poor, which is both morally good and instrumentally valuable. We find that total Norwegian aid and aid for health and social development are economically less valuable to recipients with greater equity of access to health. Yet, one may argue that this result is due to Norway picking the hard cases, those resistant to change. Our results show, however, that Norwegian aid increases to places that have become more equitable over time while simultaneously remaining lower to currently equitable locations. Whether Norway is ‘chasing success’ or actually ‘rewarding reform’ is hard to untangle although, in our opinion, a sound donor strategy should be one that targets currently favorable policy, signaling to laggards that change is rewarded. Granger causality tests for assessing the likelihood of reverse causality suggest that higher levels of equity are more likely to ‘Granger cause’ aid (negatively) than the other way around, suggesting that aid flows are unlikely to be causing equity in the short run. If in fact a country such as Norway fails the poor, at least on this important dimension of equity, then it is hardly reasonable to expect differently from others. The results taken together support critics who suggest that aid often bypasses the poor.

Correlates of post-traumatic stress disorder among adult residents of conflict-affected communities in Cross River State, Nigeria: a cross-sectional study

BackgroundConflict-affected communities in Nigeria experience a range of problems. These experiences have been associated with different types of mental disorders, most notably, post-traumatic stress disorder (PTSD).AimThis study sought to assess...

Less stunted? The impact of Chinese health aid on child nutrition

Despite the increasing recognition of China's role as a global health donor, particularly in Africa, few studies have explored its effectiveness. We geographically matched project-level aid data from AidData with household survey data from Demographic and Health Surveys across eight African countries to examine the effect of Chinese health aid on the nutritional status of children in recipient countries. In addition to adopting a spatiotemporal identification strategy, we also included mother fixed-effects to examine variations among siblings who were exposed to Chinese health aid projects at different times. The empirical results consistently indicated that children living adjacent to Chinese health aid projects had a better nutritional status. The treatment effect of Chinese health aid projects is heterogeneous across household characteristics, types, and sectors of aid projects. Finally, vaccination may serve as a mechanism linking Chinese health aid and child nutrition in the treatment areas of recipient countries.

Vaccinating humanitarian workers against COVID-19.

To describe the United Nations' (UN's) coronavirus disease 2019 (COVID-19) vaccination programme and its efforts to vaccinate frontline humanitarian personnel stationed in locations where access to COVID-19 vaccine was limited or absent. The vaccination programme was structured as a two-level operation: a global vaccine deployment support team and local vaccine deployment teams in each participating country, territory or administrative area. The central group, led by a global vaccine coordinator, oversaw medical, legal, financial, logistical, data, technological and communication aspects. Local vaccine deployment teams were led by coordinators who managed registration, logistics, communication and vaccine administration. The programme used World Health Organization-approved COVID-19 vaccines and developed prioritization criteria for distributing vaccine supplies. The programme ensured that vaccines for the UN personnel were not diverted from the populations they were intended to serve. The programme successfully formed 120 deployment teams across 152 eligible countries, territories and administrative areas, targeting approximately 673 000 individuals. By April 2023, 72 countries, territories and administrative areas had received over 470 000 doses, of which 337 072 doses were administered. Almost half of the doses administered (167 616) were to individuals in five UN hardship countries. Ninety-five severe adverse events were reported, but none led to any reported medical evacuation, permanent disability or death. The programme demonstrated effective global coordination and local implementation, adapting to diverse contexts and operational challenges. The model can serve as a guide for global actors for future health emergencies, or for deploying health aid at a regional or global scale.