Cost-effectiveness and budget impact analysis of screening and preventive interventions for cardiovascular disease in Myanmar: an economic modelling study.

Background: Cardiovascular diseases (CVD) remains a leading cause of mortality in Myanmar. Despite the burden, CVD preventive services receive low government and donor budgets, which has led to poor CVD outcomes. Methods: We conducted a cost-effective analysis and a budget impact analysis on CVD prevention strategies recommended by the WHO. A Markov model was used to analyse the cost and quality-adjusted life year (QALY) from healthcare provider and societal perspectives. We calculated transition probabilities from WHO CVD risk data and obtained treatment effects and costs from secondary sources. Subgroup analysis was performed on different sex and age groups. We framed the budget impact analysis from a healthcare provider perspective to assess the affordability of providing CVD preventive care. Findings: The most cost-effective strategy from the healthcare provider perspective varied. The combination of screening, primary prevention, and secondary prevention (Sc-PP-SP) (incremental cost-effectiveness ratio [ICER]: US$1574/QALY) is most cost-effective at the three times gross domestic product (GDP) per capita threshold, while at one time the GDP per capita threshold, secondary prevention is the most cost-effective strategy (ICER: US$160/QALY). Sc-PP-SP is the most cost-effective strategy from the societal perspective (ICER: US$647/QALY). Among age groups, intervention at age 45 years appeared to be the most cost-effective option for both men and women. The budget impact revealed the Sc-PP-SP would avert 55,000 acute CVD events and 28,000 CVD-related deaths with a cost of US$157 million for the first year of CVD preventive care. Interpretation: A combination of screening, primary prevention, and secondary prevention is cost-effective to reduce CVD-related deaths in Myanmar. This study provides evidence for the government and development partners to increase investment in and support for CVD prevention. These findings not only provide a basis for efficient resource allocation but also underscore the importance of adopting a total cardiovascular risk approach to CVD prevention, in alignment with global health goals. Funding: Pilot grant from Duke Global Health Institute, USA.

Traditional uses, phytochemistry, pharmacology, toxicity and clinical application of traditional Chinese medicine Cynoglossum amabile: a review.

Cynoglossum amabile, a member of the Boraginaceae family, is a well-known traditional Chinese medicine and ethnomedicine known as Daotihu. Despite several studies confirming the presence of bioactive pyrrolizidine alkaloids such as amabiline, ambelline, echinatine, europine, and others in C. amabile, there has been no comprehensive review of its traditional uses, phytochemistry, and pharmacology thus far. This review was conducted by thoroughly examining the literature and analyzing network databases. It covers various aspects of C. amabile, including botanical characteristics, geographical distribution, traditional applications, phytochemistry, pharmacological activities, toxicology, and clinical applications. The results have shown that C. amabile has been traditionally used for medicinal, edible, and ornamental purposes in China for many centuries. The whole plant, root, and leaf of C. amabile are used by different ethnic groups, such as Lisu, Bai, Naxi, Yi, Jinuo, and Han, to treat malaria, hepatitis, dysentery, leucorrhea, tuberculosis cough, fracture, joint dislocation, trauma bleeding, and skin carbuncle abscess. A total of 47 chemical components, including alkaloids (pyrrolizidine alkaloids, PAs), sterols, organic acids, and saccharides, were isolated from C. amabile. Pharmacological studies show that the chemical extracts of C. amabile possess various biological activities, such as anti-inflammatory, anti-tumor, anti-microbial, cardiovascular effects, ganglionic action, and acetylcholinesterase inhibition. However, it is important to note that C. amabile exhibits hepatotoxicity, with its toxicity being linked to its primary PAs components. Although preliminary studies suggest potential applications in the treatment of prostate diseases and alopecia, further research is needed to validate these clinical uses. Our review highlights the traditional uses, phytochemistry, biological activity, toxicity, and clinical applications of C. amabile. It emphasizes the essential guiding role of the indigenous medicinal knowledge system in developing new drugs. Previous studies have shown that the phytochemical and pharmacological characteristics of C. amabile are significantly related to its traditional medicinal practices. Cynoglossum amabile has excellent market potential and can be further analyzed in terms of phytochemistry, pharmacology, and toxicology, which are critical for its clinical drug safety, quality evaluation, and resource development.

Innovative Solutions for Worn Fingerprints: A Comparative Analysis of Traditional Fingerprint Impression and 3D Printing.

Fingerprint recognition systems have achieved widespread integration into various technological devices, including cell phones, computers, door locks, and time attendance machines. Nevertheless, individuals with worn fingerprints encounter challenges when attempting to unlock original fingerprint systems, which results in disruptions to their daily activities. This study explores two distinct methods for fingerprint backup: traditional fingerprint impression and 3D printing technologies. Unlocking tests were conducted on commonly available optical fingerprint lock-equipped cell phones to assess the efficacy of these methods, particularly in unlocking with worn fingerprints. The research findings indicated that the traditional fingerprint impression method exhibited high fidelity in reproducing fingerprint patterns, achieving an impressive unlocking success rate of 97.8% for imprinting unworn fingerprints. However, when dealing with worn fingerprints, the traditional fingerprint impression technique showed a reduced unlocking success rate, progressively decreasing with increasing degrees of finger wear. In contrast, 3D-printed backup fingerprints, with image processing and optimization of ridge height, mitigated the impact of fingerprint wear on the unlocking capability, resulting in an unlocking success rate of 84.4% or higher. Thus, the utilization of 3D printing technology proves advantageous for individuals with severely worn or incomplete fingerprints, providing a viable solution for unforeseen circumstances.

Strategic donor behaviour and country vulnerability in health aid transitions.

BACKGROUND: When countries reach the middle-income threshold, many multilateral donors, including Gavi, the Vaccine Alliance (Gavi), begin to withdraw their official development assistance (ODA), known as graduation. We hypothesised that bilateral donors might follow Gavi's lead, except in countries where they have strategic interests. We aim to understand how bilateral donors behave after a recipient country graduates from Gavi support and how bilateral donors might treat Gavi support countries differently, based on 'strategic interest'. We also aim to identify countries that were more vulnerable to 'simultaneous' transitions and financial cliffs after Gavi transition. METHODS: This is an observational dyadic analysis using longitudinal data. We collected country-level data on 77 Gavi-eligible countries between 2009 and 2018 and paired donor and recipient country in a specific year to conduct dyadic analysis. We included Gavi graduation status and Gavi disbursement as explanatory variables. We controlled for (1) donor-recipient relationship variables that represent potential strategic relationships (eg, distance between donor and recipient country) and (2) recipient-level characteristics (eg, population, income). We used Odinary Least Squares regression, Tobit and two-part model in Stata SE 15.0. FINDINGS: We found a country would receive $3.1 million less all sector ODA from a bilateral donor, and $0.6 million less health ODA, after they graduate from Gavi. For every additional 1% ODA a country would receive from Gavi, it would receive 0.14% more ODA and 0.16% more health ODA from individual bilateral donors. Gavi's graduation status or disbursement brought more change in percentage term to health ODA than to total ODA. Additionally, Gavi's graduation was observed to have a larger negative impact on bilateral ODA in the longer term. Countries that sent more migrants, had been colonised, and received more US military assistance tended to receive more ODA. There are similarities and differences across different donors and bilateral donors tend to provide more ODA to nearby countries and countries receiving fewer exports from the donor. We found that former colonies did not see a decline in aid after Gavi graduation. CONCLUSION: Bilateral donors behave in a similar manner to Gavi when it comes to funding health systems in low and middle-income countries. Therefore, some countries may be at risk of losing donor resources for health from a multitude of sources around the same time. However, countries that have a strategic interest in bilateral donors may be spared from such funding cliffs. This research has important implications for global health donors' funding policies and approaches in addition to recipient countries' transition planning.

Scaling malaria interventions: bottlenecks to malaria elimination.

The slow progress in malaria control efforts and increasing challenges have prompted a need to accelerate the research and development (R&D), launch and scaling of effective interventions for malaria elimination. This research, including desk research and key informant interviews, identified the following challenges along the end-to-end scale-up pathway of malaria interventions. Underinvestment in malaria R&D persists, and developers from low-resource settings are not commonly included in the R&D process. Unpredictable or unclear regulatory and policy pathways have been a hurdle. The private sector has not been fully engaged, which results in a less competitive market with few manufacturers, and consequently, a low supply of products. Persistent challenges also exist in the scaling of malaria interventions, such as the fragmentation of malaria programmes. Further efforts are needed to: (1) Strengthen coordination among stakeholders and especially the private sector to inform decisions and mobilise resources. (2) Increase engagement of national stakeholders, particularly those in low-income and middle-income countries, in planning for and implementing R&D, launching and scaling proven malaria interventions. (3) Use financial incentives and other market-shaping strategies to encourage R&D for innovative malaria products and improve existing interventions. (4) Streamline and improve transparency of WHO's prequalification and guidelines processes to provide timely technical advice and strategies for different settings. (5) Increase effort to integrate malaria services into the broader primary healthcare system. (6) Generate evidence to inform policies on improving access to malaria interventions.

Tunicates as Sources of High-Quality Nutrients and Bioactive Compounds for Food/Feed and Pharmaceutical Applications: A Review.

Tunicates are widely distributed worldwide and are recognized as abundant marine bioresources with many potential applications. In this review, state-of-the-art studies on chemical composition analyses of various tunicate species were summarized; these studies confirmed that tunicates contain nutrients similar to fish (such as abundant cellulose, protein, and ω-3 fatty acid (FA)-rich lipids), indicating their practical and feasible uses for food or animal feed exploration. However, the presence of certain toxic elements should be evaluated in terms of safety. Moreover, recent studies on bioactive substances extracted from tunicates (such as toxins, sphingomyelins, and tunichromes) were analyzed, and their biological properties were comprehensively reviewed, including antimicrobial, anticancer, antioxidant, antidiabetic, and anti-inflammatory activities. In addition, some insights and prospects for the future exploration of tunicates are provided which are expected to guide their further application in the food, animal feed, and pharmaceutical industries. This review is critical to providing a new pathway for converting the common pollution issues of hydroponic nutrients into valuable marine bioresources.

Comparing research and development, launch, and scale up timelines of 18 vaccines: lessons learnt from COVID-19 and implications for other infectious diseases.

Over the next decade, millions of deaths could be prevented by increasing access to vaccines in low-income and middle-income countries (LMICs). The COVID-19 pandemic has demonstrated that the research and development (R&D), launch and scale up timelines of vaccines can be drastically shortened. This study compares such timelines for eighteen vaccines and identifies lessons and implications for accelerating the R&D, launch and scale up process for other vaccine candidates. To replicate the rapid R&D process of the COVID-19 vaccines, future vaccine R&D should capitalise on public-private knowledge sharing partnerships to promote technology innovation, establish regional clinical trial centres and data sharing networks to optimise clinical trial efficiency, and create a funding mechanism to support research into novel vaccine platforms that may prove valuable to quickly developing vaccine candidates in future global health emergencies. To accelerate the launch timeline, future efforts to bring safe and efficacious vaccines to market should include LMICs in the decision-making processes of global procurement and delivery alliances to optimise launch in these countries, strengthen the WHO prequalification and Emergency Use Listing programs to ensure LMICs have a robust and transparent regulatory system to rely on, and invest in LMIC regulatory and manufacturing capacity to ensure these countries are vaccine self-sufficient. Lastly, efforts to accelerate scale up of vaccines should include the creation of regional pooled procurement mechanisms between LMICs to increase purchasing power among these countries and an open line of clear communication with the public regarding pertinent vaccine information to combat misinformation and vaccine hesitancy.

Equilibrium between monomers and dimers of the death domain of the p75 neurotrophin receptor in solution.

p75 neurotrophin receptor (p75NTR) contains a C-terminal globular protein module known as the death domain (DD), which plays a central role in apoptotic and inflammatory signaling through the formation of oligomeric protein complexes. A monomeric state of the p75NTR-DD also exists depending on its chemical environment in vitro. However, studies on the oligomeric states of the p75NTR-DD have produced conflicting findings and sparked great controversy. Here we present new evidence from biophysical and biochemical studies to demonstrate the coexistence of symmetric and asymmetric dimers of the p75NTR-DD, which may equilibrate with the monomeric form in solution and in the absence of any other protein. The reversible close-open solution behavior may be important for the p75NTR-DD to serve as an intracellular signaling hub. This result supports an intrinsic ability of the p75NTR-DD to self-associate, in congruence with the oligomerization properties of all members of the DD superfamily.

Effects of Tai Chi on Postural Control in People with Peripheral Neuropathy: A Systematic Review with Meta-Analysis.

BACKGROUND: Effects of Tai Chi on people with peripheral neuropathy (PN) are not yet apparent. This systematic review was conducted to evaluate the effects of Tai Chi on postural control in people with PN. METHODS: Literature was screened in seven databases for relevant randomized controlled trials. The reports and methodological quality were evaluated. A meta-analysis was performed using RevMan5.4 software. RESULTS: Ten reports were included, involving a total of 344 subjects. The meta-analysis found that Tai Chi therapy for people with PN resulted in a smaller sway area, in the double-leg stance with eyes closed test (SMD = -2.43, I2 = 0%), than that observed in the control group, greater distance covered in the six-minute walking test (SMD = -0.46, I2 = 49%) and faster performance in the timed-up-and-go test (SMD = 0.68, I2 = 50%), than the baseline. CONCLUSIONS: Tai chi effectively enhanced dynamic postural control in people with PN. However, no better effects on postural control from Tai Chi than from other rehabilitation approaches were observed in this study. Further high-quality trials are needed to better understand Tai Chi's effects on individuals with PN.

Chinese health funding in Africa: The untold story.

The motivations behind China's allocation of health aid to Africa remain complex due to limited information on the details of health aid project activities. Insufficient knowledge about the purpose of China's health aid hinders our understanding of China's comprehensive role in supporting Africa's healthcare system. To address this gap, our study aimed to gain better insights into China's health aid priorities and the factors driving these priorities across Africa. To achieve this, we utilized AidData's Chinese Official Finance Dataset and adhered to the Organisation for Economic Co-operation and Development (OECD) guidelines. We reclassified all 1,026 health projects in Africa, originally categorized under broad 3-digit OECD-DAC sector codes, into more specific 5-digit CRS codes. By analyzing the project count and financial value, we assessed the shifting priorities over time. Our analysis revealed that China's priorities in health aid have evolved between 2000 and 2017. In the early 2000s, China primarily allocated aid to basic health personnel and lacked diversity in sub-sectors. However, after 2004, China shifted its focus more toward basic infrastructure and reduced emphasis on clinical-level staff. Furthermore, China's interest in addressing malaria expanded both in scale and depth between 2006 and 2009. This trend continued in 2012 and 2014 when China responded to the Ebola outbreak by shifting its focus from basic infrastructure to infectious diseases. In summary, our findings demonstrate the changes in China's health aid strategy, starting with addressing diseases already eliminated in China and gradually transitioning towards global health security, health system strengthening, and shaping the governance mechanisms.

United Kingdom aid cuts: implications for financing health systems.

Background: The United Kingdom (UK) used to be the second largest bilateral provider of official development assistance (ODA) for health. However, in 2021 the UK government cut its annual aid budget by 30%. We aim to understand how these cuts might affect financing for health systems in UK aid recipient countries. Methods: We conducted a retrospective analysis of domestic and external funding for 134 countries that received UK aid for the 2019-2020 budget year. We grouped countries into two cohorts: those that continued to receive aid in 2020-2021 ("budget") and those that did not ("no budget"). Data was collected from publicly available datasets and we compared UK's ODA, UK's health ODA with total ODA, general government expenditures and domestic general government health expenditure to assess the donor dependency and donor concentration of budget and no budget countries. Findings: Budget countries are more reliant on external aid to finance their governments and health systems than no budget countries, with a handful of exceptions. While the UK does not appear to be a major ODA contributor among most no budget countries, it is in many budget countries. Two no budget countries in particular may be faced with health systems financing challenges given their high ratios of UK health aid to domestic government health expenditures: the Gambia (1.24:1) and Eritrea (0.33:1). Although "safe" for this budget cycle, a number of low-income countries in Sub-Saharan Africa have very high ratios of UK health aid to domestic government health expenditures, including South Sudan (3.15:1), Sierra Leone (0.48:1), and the Democratic Republic of Congo (0.34:1). Interpretation: The 2021-2022 UK aid cuts could have negative impacts in a few countries highly dependent on UK health aid. Its departure could leave these countries with rather large funding gaps to fill and create a more concentrated donor climate.

Effects of public financing of essential maternal and child health interventions across wealth quintiles in Nigeria: an extended cost-effectiveness analysis.

BACKGROUND: Maternal and newborn mortality rates in Nigeria are among the highest globally, and large socioeconomic inequalities exist in access to maternal, newborn, and child health (MNCH) services in the country. Inequalities also exist in catastrophic health expenditure among households in Nigeria. We aimed to estimate the health and financial risk protection benefits across different wealth groups in Nigeria if a policy of public financing of MNCH interventions were to be introduced. METHODS: We did an extended cost-effectiveness analysis to estimate the health and financial risk protection benefits, across different household wealth quintiles, of a public-financing policy that assumes zero out-of-pocket costs to patients at the point of care for 18 essential MNCH services. We projected health outcomes (deaths in children aged <5 years [under-5 deaths] and maternal deaths) and private expenditure averted using the Lives Saved Tool with data extracted from national surveys. We modelled three scenarios: 1) coverage expansion at a rate equal to the trend observed between 2013 and 2018 (status quo); 2) annual coverage expansion by 5% compared with the status quo (uniform scale-up scenario); and 3) annual coverage expansion by 10%, 8%, 6%, 4%, and 2% compared with the status quo from the poorest to the wealthiest quintiles, respectively (pro-poor scale-up scenario). FINDINGS: Our analysis shows that, if an additional 5% increase in coverage was provided for all wealth quintiles between 2019 and 2030, this uniform scale-up policy would prevent more than 0·11 million maternal deaths and 1·05 million under-5 deaths, avert US$1·8 billion in private expenditure, and avert 3266 cases of catastrophic health expenditure. The incremental cost effectiveness ratio would be $44 per life-year gained, which is highly cost-effective when compared with the gross domestic product per capita of Nigeria for 2018 ($2028). The policy would prevent a higher number of under-5 deaths and catastrophic health expenditure cases in poorer quintiles, but would prevent more maternal deaths and private expenditure in wealthier quintiles. If poorer populations experienced a greater increase in service coverage (ie, the pro-poor scale-up scenario), more maternal and under-5 deaths would be prevented in the poorer quintiles and more private expenditure would be averted than would be under previous scenarios. INTERPRETATION: Public financing of essential MNCH interventions in Nigeria would provide substantial health and financial risk protection benefits to Nigerian households. These benefits would accrue preferentially to the poorest quintiles and would contribute towards reduction of health and socioeconomic inequalities in Nigeria. The distribution would be more pro-poor if public financing of MNCH interventions could target poor households. FUNDING: WHO Partnership for Maternal, Newborn, and Child Health.

Is Nigeria on course to achieve universal health coverage in the context of its epidemiological and financing transition? A knowledge, capacity and policy gap analysis (a qualitative study).

OBJECTIVES: This study aimed to assess Nigeria's preparedness to finance and drive the universal health coverage (UHC) agenda within the context of changing health conditions and resource needs associated with the disease, demographic and funding transitions.Nigeria is undergoing transitions in the healthcare system that include a double burden of infectious and non-communicable diseases, and transition from concessional donor assistance towards domestic financing for health. These transitions will affect Nigeria's attainment of UHC. DESIGN AND SETTING: We conducted a qualitative study, including semistructured interviews with relevant stakeholders at national and subnational levels in Nigeria. Data from the interviews were analysed using thematic analysis. PARTICIPANTS: Our study involved 18 respondents from government ministries, departments, and agencies, development partners, civil society organisations and academia. RESULTS: Capacity gaps identified by respondents included limited knowledge to implement health insurance schemes at subnational levels, poor information/data management to monitor progress towards UHC and limited communication and interagency collaboration between government agencies and ministries. Furthermore, participants in our study expressed those current policies driving major health reforms like the National Health Act (basic healthcare provision fund) appear adequate to support UHC advancement in theory, but policy implementation is a key challenge due to a lack of policy awareness, low government spending on health and poor evidence generation for information to support decisions. CONCLUSION: Our study found major gaps in knowledge and capacity for UHC advancement in the context of Nigeria's demographic, epidemiological and financing transitions. These included poor knowledge of demographic transitions, poor capacity for health insurance implementation at subnational levels, low government spending on health, poor policy implementation and poor communication and collaboration among stakeholders. To address these challenges, collaborative efforts are needed to bridge knowledge gaps and increase policy awareness through targeted knowledge products, improved communication and interagency collaboration.

Mobilizing Domestic Funds for the HIV/AIDS Response in Nigeria: Estimating the Potential Contribution of the National Health Insurance Scheme.

BACKGROUND: Amid the dwindling donor support for HIV in Nigeria, there is an urgent need for additional domestic HIV funding. This study estimates the required financial resources for people living with HIV (PLHIV) and the potential magnitude of domestic resources for HIV through the National Health Insurance Scheme (NHIS) and by prioritizing HIV within the health budget. METHODS: We estimated the resource needs for providing antiretroviral therapy (ART) to adults, children, and pregnant women living with HIV under 3 scenarios: current coverage rates, coverage rates based on historical trends, and a rapid scale-up situation. We conducted a fiscal space analysis to estimate the potential contribution from macroeconomic growth, the NHIS, and prioritizing HIV within the health budget from 2020 to 2025. RESULTS: At current coverage rates, the annual treatment costs for adults would range between US$ 505 million in 2020 to US$ 655 million in 2025; for children, it ranges from US$ 33.5 million in 2020 to US$ 32 million in 2025. The annual costs of providing PMTCT at current coverage rates range from US$ 65 million in 2020 to US$ 72 million in 2025. An additional US$ 319 million could potentially be generated between 2020 and 2025 through the NHIS for HIV. Prioritizing HIV within the health budget can generate an additional US$ 686 million. CONCLUSION: Substantial domestic funds can be mobilized by these means to sustain the HIV response. However, because this additional funding may not be sufficient to cover all PLHIV, a phased approach, initially prioritizing certain populations such as children or pregnant women, is recommended.

Tracking financing for global common goods for health: A machine learning approach using natural language processing techniques.

Objective: Tracking global health funding is a crucial but time consuming and labor-intensive process. This study aimed to develop a framework to automate the tracking of global health spending using natural language processing (NLP) and machine learning (ML) algorithms. We used the global common goods for health (CGH) categories developed by Schäferhoff et al. to design and evaluate ML models. Methods: We used data curated by Schäferhoff et al., which tracked the official development assistance (ODA) disbursements to global CGH for 2013, 2015, and 2017, for training and validating the ML models. To process raw text, we implemented different NLP techniques, such as removing stop words, lemmatization, and creation of synthetic text, to balance the dataset. We used four supervised learning ML algorithms-random forest (RF), XGBOOST, support vector machine (SVM), and multinomial naïve Bayes (MNB) (see Glossary)-to train and test the pre-coded dataset, and applied the best model on dataset that hasn't been manually coded to predict the financing for CGH in 2019. Results: After we trained the machine on the training dataset (n = 10,534), the weighted average F1-scores (a measure of a ML model's performance) on the testing dataset (n = 2,634) ranked 0.79-0.83 among four models, and the RF model had the best performance (F1-score = 0.83). The predicted total donor support for CGH projects by the RF model was $2.24 billion across 3 years, which was very close to the finding of $2.25 billion derived from coding and classification by humans. By applying the trained RF model on the 2019 dataset, we predicted that the total funding for global CGH was about $2.7 billion for 730 CGH projects. Conclusion: We have demonstrated that NLP and ML can be a feasible and efficient way to classify health projects into different global CGH categories, and thus track health funding for CGH routinely using data from publicly available databases.

Estimating Chinese bilateral aid for health: an analysis of AidData's Global Chinese Official Finance Dataset Version 2.0.

BACKGROUND: Although it is difficult to quantify, previous estimates suggested that China's global health aid has increased sharply since the early 2000s. Unlike many donors, China has no official aid reporting obligations, nor does it voluntarily disclose detailed aid information. Our study aimed to create a standardised estimate using commonly accepted definitions of aid and frameworks for categorising health projects. METHODS: We categorised AidData's Chinese Official Finance Dataset health-related projects according to health aid frameworks from the Organisation for Economic Co-operation and Development (OECD) and the Institute for Health Metrics and Evaluation (IHME). Only projects that complied with the definition of official development assistance were included. We analysed the project count and financial value to assess China's priority health aid areas. FINDINGS: Between 2000 and 2017, China funded 1339 health-related aid projects, or 13% of its total aid project portfolio. Most of these projects were located in sub-Saharan Africa. According to the OECD framework, the priority focus areas of these projects were: medical services, such as specialty equipment and tertiary services (n=489, 37%); basic health care, such as basic medical services and drugs (n=251, 19%); malaria control (n=234, 18%) and basic health infrastructure (n=178, 13%). Under the IHME framework, health systems strengthening accounted for 74% (n=991) of total projects, primarily due to China's contributions to human resources for health, infrastructure and equipment. The only other major allocation under the IHME framework was malaria (n=234, 18%). When we estimated missing financial values under the OECD framework, China was the fifth largest health aid donor to African countries from 2002 to 2017, after the USA, the UK, Canada and Germany. CONCLUSION: Our findings enable a better understanding of Chinese health aid in the absence of transparent aid reporting, which could contribute to better coordination, collaboration and resource allocation for both donor and recipient countries.

Improving access to medicines: lessons from 10 years of drug reforms in China, 2009-2020.

China initiated its healthcare reform in 2009 to provide accessible and affordable healthcare to all. We summarised China's drug reforms between 2009 and 2020 using the WHO framework. China has initiated comprehensive drug policies to address different issues, including: (1) issuing or amending major regulations with changes in institutional settings; (2) implementing the marketing authorisation holder system and bioequivalence assessment to improve the quality of drugs; (3) leveraging accelerated market approval and insurance listing to encourage needs-driven innovation and improve the access to new drugs; (4) introducing compulsory licensing to address major public health threats when needed; (5) scaling up the National Essential Medicine Policy and introducing pharmacoeconomic evaluation in National Reimbursable Drug List to promote rational use of medicine and evidence-based selection; (6) applying differentiated pricing strategies and scaling up zero mark-up policies to form a new financing mechanism; (7) adapting bulk procurement and placing strict regulations on the supply chain management to ensure supply and reduce the cost; (8) empowering pharmacists to improve the rational use of medicine; and (9) using procurement and supply chain digital platforms to inform decision and improve efficiency. China's drug reform has adopted a phased and systemic approach that mobilises multiple policy levers including governance, regulation and financing. Despite the progress, emerging challenges in implementation, coordination and capacity need to be addressed. Cross-cutting lessons from China's drug reforms include aligning the drug reform with the overall health reforms, adapting a systemic approach that mobilised policy levers and stakeholders and informing policy decision by conducting pilot studies.

Estimated Global Proportions of Individuals With Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021.

Importance: Some individuals experience persistent symptoms after initial symptomatic SARS-CoV-2 infection (often referred to as Long COVID). Objective: To estimate the proportion of males and females with COVID-19, younger or older than 20 years of age, who had Long COVID symptoms in 2020 and 2021 and their Long COVID symptom duration. Design, Setting, and Participants: Bayesian meta-regression and pooling of 54 studies and 2 medical record databases with data for 1.2 million individuals (from 22 countries) who had symptomatic SARS-CoV-2 infection. Of the 54 studies, 44 were published and 10 were collaborating cohorts (conducted in Austria, the Faroe Islands, Germany, Iran, Italy, the Netherlands, Russia, Sweden, Switzerland, and the US). The participant data were derived from the 44 published studies (10 501 hospitalized individuals and 42 891 nonhospitalized individuals), the 10 collaborating cohort studies (10 526 and 1906), and the 2 US electronic medical record databases (250 928 and 846 046). Data collection spanned March 2020 to January 2022. Exposures: Symptomatic SARS-CoV-2 infection. Main Outcomes and Measures: Proportion of individuals with at least 1 of the 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after SARS-CoV-2 infection in 2020 and 2021, estimated separately for hospitalized and nonhospitalized individuals aged 20 years or older by sex and for both sexes of nonhospitalized individuals younger than 20 years of age. Results: A total of 1.2 million individuals who had symptomatic SARS-CoV-2 infection were included (mean age, 4-66 years; males, 26%-88%). In the modeled estimates, 6.2% (95% uncertainty interval [UI], 2.4%-13.3%) of individuals who had symptomatic SARS-CoV-2 infection experienced at least 1 of the 3 Long COVID symptom clusters in 2020 and 2021, including 3.2% (95% UI, 0.6%-10.0%) for persistent fatigue with bodily pain or mood swings, 3.7% (95% UI, 0.9%-9.6%) for ongoing respiratory problems, and 2.2% (95% UI, 0.3%-7.6%) for cognitive problems after adjusting for health status before COVID-19, comprising an estimated 51.0% (95% UI, 16.9%-92.4%), 60.4% (95% UI, 18.9%-89.1%), and 35.4% (95% UI, 9.4%-75.1%), respectively, of Long COVID cases. The Long COVID symptom clusters were more common in women aged 20 years or older (10.6% [95% UI, 4.3%-22.2%]) 3 months after symptomatic SARS-CoV-2 infection than in men aged 20 years or older (5.4% [95% UI, 2.2%-11.7%]). Both sexes younger than 20 years of age were estimated to be affected in 2.8% (95% UI, 0.9%-7.0%) of symptomatic SARS-CoV-2 infections. The estimated mean Long COVID symptom cluster duration was 9.0 months (95% UI, 7.0-12.0 months) among hospitalized individuals and 4.0 months (95% UI, 3.6-4.6 months) among nonhospitalized individuals. Among individuals with Long COVID symptoms 3 months after symptomatic SARS-CoV-2 infection, an estimated 15.1% (95% UI, 10.3%-21.1%) continued to experience symptoms at 12 months. Conclusions and Relevance: This study presents modeled estimates of the proportion of individuals with at least 1 of 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after symptomatic SARS-CoV-2 infection.

Coverage of social assistance in Ethiopia during the COVID-19 pandemic: a time-to-event analysis.

OBJECTIVE: In a pandemic, government assistance is essential to support the most vulnerable households as they face health and economic challenges. However, government assistance is effective only when it reaches vulnerable households in time. In this paper, we estimated the timeliness of government assistance for the most vulnerable households (ie, the poor households) in Ethiopia during its COVID-19 response of 2020. In particular, we conducted a time-to-event analysis to compare the time to receive government assistance between poor and non-poor households in Ethiopia. METHODS: We used a semiparametric Cox proportional model to evaluate whether the time to first receipt of government assistance during the COVID-19 response in 2020 differed between poor and non-poor Ethiopian households. We used the Schoenfeld test to check the proportionality assumption and conducted the stratified Cox regression analysis to adjust for non-proportional variables. The data from World Bank's High-Frequency Phone Surveys on COVID-19 and the 2019 Ethiopian Socioeconomic Survey were used for this analysis. RESULTS: We found that the poor households in rural areas were 88% (HR: 1.88; 95% CI: 1.19 to 2.98) more likely to receive government assistance than non-poor households at any point within 10 months after the start of the pandemic. However, there was no significant difference between urban poor and non-poor households' likelihood of receiving government assistance during this timeframe. CONCLUSION: The Ethiopian government has leveraged its existing social protection network to quickly reach poor households in rural areas during the COVID-19 response of 2020. The country will need to continue strengthening and scaling the existing social protection systems to accurately target the wider vulnerable population in urban areas.