An ancillary care policy in a vaccine trial conducted in a resource-constrained setting: evaluation and policy recommendations.

INTRODUCTION: Clear guidelines to implement ancillary care (AC) in clinical trials conducted in resource-constrained settings are lacking. Here, we evaluate an AC policy developed for a vaccine trial in the Democratic Republic of the Congo and formulate policy recommendations. METHODS: To evaluate the AC policy, we performed a longitudinal cohort study, nested in an open-label, single-centre, randomised Ebola vaccine trial conducted among healthcare personnel. Participants' demographic information, residence distance to the study site and details on the financial and/or medical support provided for any (serious) adverse events ((S)AE) were combined and analysed. To assess the feasibility of the AC policy, an expenditure analysis of the costs related to AC support outcomes was performed. RESULTS: Enrolment in this evaluation study started on 29 November 2021. The study lasted 11 months and included 655 participants from the Ebola vaccine trial. In total, 393 participants used the AC policy, mostly for AE management (703 AE and 94 SAE) via medication provided by the study pharmacy (75.3%). Men had a 35.2% (95% CI 4.0% to 56.6%) lower likelihood of reporting AE compared with women. Likewise, this was 32.3% lower (95% CI 5.8% to 51.4%) for facility-based compared with community-based healthcare providers. The daily AE reporting was 78.8% lower during the passive vs the active trial stage, and 97.4% lower during unscheduled vs scheduled visits (p<0.001). Participants living further than 10 km from the trial site more frequently reported the travel distance as a reason for not using the policy (p<0.04). In practice, only 1.1% of the operational trial budget was used for AC policy support. CONCLUSION: The trial design, study population and local health system impacted the use of the AC policy. Nonetheless, the AC policy implementation in this remote and resource-constrained setting was feasible, had negligible budgetary implications and contributed to participants' healthcare options and well-being.

Sector-by-sector analysis of dependence dynamics between global large-cap companies and infectious diseases: A time-varying copula approach in EBOV and COVID-19 episodes.

Infectious diseases and widespread outbreaks influence different sectors of the economy, including the stock market. In this article, we investigate the effect of EBOV and COVID-19 outbreaks on stock market indices. We employ time-varying and constant bivariate copula methods to measure the dependence structure between the infectious disease equity market volatility index (IEMV) and the stock market indices of several sectors. The results show that the financial and communication services sectors have the highest and the lowest negative dependency on IEMV during the Ebola virus (EBOV) pandemic, respectively. However, the health care and energy sectors have the highest and lowest negative dependency on IEMV during the COVID-19 outbreak, respectively. Therefore, the results confirm the heterogeneous time-varying dependency between infectious diseases and the stock market indices. The finding of our study contributes to the ongoing literature on the impact of disease outbreaks, especially the novel coronavirus outbreak on global large-cap companies in the stock market.

Knowledge, perceptions and effects of Ebola virus disease outbreak on the pig value chain in the agro-pastoralist district of Luwero, Central Uganda.

BACKGROUND: Ebola Virus Disease (EVD) outbreaks have a significant impact on the health and wellbeing, and livelihoods of communities. EVD response interventions particularly affect the food value chain, and income security of pig farmers in agro-pastoral communities. Despite the enormous effort of EVD response interventions, there is paucity of information towards EVD among those involved in the pig value chain, as well as the effect of EVD outbreaks on the pig value chain. This study therefore, assessed the knowledge, perceptions on the occurrence of Ebola and its effects on the pig value chain in the agro-pastoral district of Luweero, Central Uganda. METHODS: A cross sectional study was conducted in two parishes of Ssambwe and Ngalonkulu, Luwero district. A total of 229 respondents were included in the study. Structured questionnaires, key informant interviews and focus group discussions were conducted to collect data. Quantitative data was analysed using SPSS version 22 while qualitative data was analysed using thematic content analysis. RESULTS: Of the 229 respondents, 95.6% could recall the occurrence of the last EVD outbreak in their locality. About 24.5% associated EVD with touching pigs or eating pork. Regarding knowledge, 194 (84.7%) correctly associated EVD with handling Ebola infected persons, 191 (83.4%) with migration of people from endemic areas, 148 (64.9%) eating monkey meat, 127 (55.5%) with eating bats, and 198 (64.9%) with conducting public meetings where there is an Ebola infected person. Out of 142 farmers, 55 (38.7%) believed that Ebola outbreaks affected demand and sale of pigs. The EVD outbreak significantly led to a reduction in the average number of pigs sold (P = 0.001), the average number of pigs bought by traders (P = 0.04), and the number of pigs sold/ slaughtered by butcher men at pork eating places (P = 0.03). CONCLUSION: This study showed that EVD outbreak negatively affected the pig value chain i.e., the demand and supply of pigs and pork. Therefore, there is need to sensitize the stakeholders in the pig value chain on EVD in order to minimize the negative economic impacts associated with EVD outbreaks.

A systematic examination of international funding flows for Ebola virus and Zika virus outbreaks 2014-2019: donors, recipients and funding purposes.

INTRODUCTION: There has been no systematic comparison of how the policy response to past infectious disease outbreaks and epidemics was funded. This study aims to collate and analyse funding for the Ebola epidemic and Zika outbreak between 2014 and 2019 in order to understand the shortcomings in funding reporting and suggest improvements. METHODS: Data were collected via a literature review and analysis of financial reporting databases, including both amounts donated and received. Funding information from three financial databases was analysed: Institute of Health Metrics and Evaluation's Development Assistance for Health database, the Georgetown Infectious Disease Atlas and the United Nations Financial Tracking Service. A systematic literature search strategy was devised and applied to seven databases: MEDLINE, EMBASE, HMIC, Global Health, Scopus, Web of Science and EconLit. Funding information was extracted from articles meeting the eligibility criteria and measures were taken to avoid double counting. Funding was collated, then amounts and purposes were compared within, and between, data sources. RESULTS: Large differences between funding reported by different data sources, and variations in format and methodology, made it difficult to arrive at precise estimates of funding amounts and purpose. Total disbursements reported by the databases ranged from $2.5 to $3.2 billion for Ebola and $150-$180 million for Zika. Total funding reported in the literature is greater than reported in databases, suggesting that databases may either miss funding, or that literature sources overreport. Databases and literature disagreed on the main purpose of funding for socioeconomic recovery versus outbreak response. One of the few consistent findings across data sources and diseases is that the USA was the largest donor. CONCLUSION: Implementation of several recommendations would enable more effective mapping and deployment of outbreak funding for response activities relating to COVID-19 and future epidemics.

COVID-19: The Current Situation in the Democratic Republic of Congo.

COVID-19 is a highly contagious disease that has affected all African countries including the Democratic Republic of Congo (DRC). Formidable challenges limit precautionary measures which were instituted by the government to curb the pandemic. Insufficient COVID-19 testing laboratories, limited medical and personal protective equipment, and an inadequate number of health workers leave the country ill-equipped in the fight against the pandemic. Lack of assistance from the government to those who lost their jobs due to lockdown forced these individuals to go outside to find provisions, thus increasing the spread of the virus. Moreover, the fragile healthcare system is overburdened by civil conflicts and other epidemics and endemics amid the COVID-19 pandemic. The conflicts have led to thousands of deaths and hundreds of thousands of displacements and deprived many people of basic health services. The 11th outbreak of Ebola has been increasing at an alarming pace, and it is expected to soar because of a shortfall of funds and insufficient numbers of health workers. The DRC with the cooperation of regional powers needs to address these challenges in a manner similar to that used in the previous Ebola epidemics. Moreover, the government should have a balance in shifting the available resources between COVID-19 and other diseases. Until a vaccine is available, the DRC needs to be prudent when lifting restrictions to prevent explosion of new cases.

How Is the World Responding to the Novel Coronavirus Disease (COVID-19) Compared with the 2014 West African Ebola Epidemic? The Importance of China as a Player in the Global Economy.

This article describes similarities and differences in the response of governments and the international community to the current 2019 coronavirus disease (COVID-19) and the 2014 West African Ebola epidemic. It expresses the opinion that the speed and scale of the response to COVID-19 are affected by the important role that China plays in the global economy. By contrast, insufficient and less timely action was initially undertaken in West African countries during the 2014 Ebola epidemic. It concludes by stating why preparedness for and response to all disease outbreaks, also in countries of lower economic importance, should become a priority in the global health agenda.

International Funding for Global Common Goods for Health: An Analysis Using the Creditor Reporting System and G-FINDER Databases.

West Africa's Ebola epidemic of 2014-2016 exposed, among other problems, the under-funding of transnational global health activities known as global common goods for health (CGH), global functions such as pandemic preparedness and research and development (R&D) for neglected diseases. To mobilize sustainable funding for global CGH, it is critical first to understand existing financing flowing to different types of global CGH. In this study, we estimate trends in international spending for global CGH in 2013, 2015, and 2017, encompassing the era before and after the Ebola epidemic. We use a measure of international funding that combines official development assistance (ODA) for health with additional international spending on R&D for diseases of poverty, a measure called ODA+. We classify ODA+ into funding for three global functions-provision of global public goods, management of cross-border externalities, and fostering of global health leadership and stewardship-and country-specific aid. International funding for global functions increased between 2013 and 2015 by $1.4 billion to a total of $7.3 billion in 2015. It then declined to $7.0 billion in 2017, accounting for 24% of all ODA+ in 2017. These findings provide empirical evidence of the reactive nature of international funders for global CGH. While international funders increased funding for global functions in response to the Ebola outbreak, they failed to sustain that funding. To meet future global health challenges proactively, international funders should allocate more funding for global functions.

The monetary value of human lives lost through Ebola virus disease in the Democratic Republic of Congo in 2019.

BACKGROUND: Between 8 May 2018 and 27 May 2019, cumulatively there were 1286 deaths from Ebola Virus Disease (EVD) in the Democratic Republic of Congo (DRC). The objective of this study was to estimate the monetary value of human lives lost through EVD in DRC. METHODS: Human capital approach was applied to monetarily value years of life lost due to premature deaths from EVD. The future losses were discounted to their present values at 3% discount rate. The model was reanalysed using 5 and 10% discount rates. The analysis was done alternately using the average life expectancies for DRC, the world, and the Japanese females to assess the effect on the monetary value of years of life lost (MVYLL). RESULTS: The 1286 deaths resulted in a total MVYLL of Int$17,761,539 assuming 3% discount rate and DRC life expectancy of 60.5 years. The average monetary value per EVD death was of Int$13,801. About 44.7 and 48.6% of the total MVYLL was borne by children aged below 9 years and adults aged between 15 years and 59 years, respectively. Re-estimation of the algorithm with average life expectancies of the world (both sexes) and Japanese females, holding discount rate constant at 3%, increased the MVYLL by Int$ 3,667,085 (20.6%) and Int$ 7,508,498 (42.3%), respectively. The application of discount rates of 5 and 10%, holding life expectancy constant at 60.5 years, reduced the MVYLL by Int$ 4,252,785 (- 23.9%) and Int$ 9,658,195 (- 54.4%) respectively. CONCLUSION: The EVD outbreak in DRC led to a considerable MVYLL. There is an urgent need for DRC government and development partners to disburse adequate resources to strengthen the national health system and other systems that address social determinants of health to end recurrence of EVD outbreaks.

Long-distance effects of epidemics: Assessing the link between the 2014 West Africa Ebola outbreak and U.S. exports and employment.

Although the economic consequences of epidemic outbreaks to affected areas are often well documented, little is known about how these might carry over into the economies of unaffected regions. In the absence of direct pathogen transmission, global trade is one mechanism through which geographically distant epidemics could reverberate to unaffected countries. This study explores the link between global public health events and U.S. economic outcomes by evaluating the role of the 2014 West Africa Ebola outbreak in U.S. exports and exports-supported U.S. jobs, 2005-2016. Estimates were obtained using difference-in-differences models where sub-Saharan Africa countries were assigned to treatment and comparison groups based on their Ebola transmission status, with controls for observed and unobserved time-variant factors that may independently influence trends in trade. Multiple model specification checks were performed to ensure analytic robustness. The year of peak transmission, 2014, was estimated to result in $1.08 billion relative reduction in U.S. merchandise exports to Ebola-affected countries, whereas estimated losses in exports-supported U.S. jobs exceeded 1,200 in 2014 and 11,000 in 2015. These findings suggest that remote disruptions in health security might play a role in U.S. economic indicators, demonstrating the interconnectedness between global health and aspects of the global economy and informing the relevance of health security efforts.

Cost Analysis of 3 Concurrent Public Health Response Events: Financial Impact of Measles Outbreak, Super Bowl Surveillance, and Ebola Surveillance in Maricopa County.

OBJECTIVE: To generate estimates of the direct costs of mounting simultaneous emergency preparedness and response activities to respond to 3 major public health events. DESIGN: A cost analysis was performed from the perspective of the public health department using real-time activity diaries and retrospective time and activity self-reporting, wage and fringe benefit data, and financial records to track costs. SETTING: Maricopa County Department of Public Health (MCDPH) in Arizona. The nation's third largest local public health jurisdiction, MCDPH is the only local health agency serving Maricopa's more than 4 000 000 residents. Responses analyzed included activities related to a measles outbreak with 2 confirmed cases, enhanced surveillance activities surrounding Super Bowl XLIX, and ongoing Ebola monitoring, all between January 22, 2015, and March 4, 2015. PARTICIPANTS: Time data were sought from all MCDPH staff who participated in activities related to any of the 3 relevant responses. In addition, time data were sought from partners at the state health department and a community hospital involved in response activities. Time estimates were received from 128 individuals (response rate 88%). MAIN OUTCOME MEASURE: Time and cost to MCDPH for each response and overall. RESULTS: Total MCDPH costs for measles-, Super Bowl-, and Ebola-related activities from January 22, 2015, through March 4, 2015, were $224 484 (>5800 hours). The majority was for personnel ($203 743) and the costliest response was measles ($122 626 in personnel costs). In addition, partners reported working more than 700 hours for these 3 responses during this period. CONCLUSIONS: Funding for public health departments remains limited, yet public health responses can be cost- and time-intensive. To effectively plan for future public health responses, it may be necessary to share experiences and financial lessons learned from similar public health responses. External partnerships represent a key contribution for responses such as those examined. It can be expensive for local public health departments to mount effective responses, especially when multiple responses occur simultaneously.

The Economic and Social Burden of the 2014 Ebola Outbreak in West Africa.

Background: The 2014 Ebola virus disease (EVD) outbreak in West Africa was more devastating than all previous EVD outbreaks combined; however, many estimates of its economic burden did not capture its significant social costs. This study aimed to review all currently available estimates, identify social components missed by these estimates, and generate a comprehensive cost of the 2014 EVD outbreak. Methods: We conducted a systematic review of the grey (reports produced by nonprofit or nongovernmental organizations, government, or industry) and published literature to identify current estimates of the burden of the outbreak. Based on the findings of this review, we identified 6 key areas absent or underestimated from previous estimates and calculated the underestimated social costs using estimates from the literature and extrapolation. Results: Current estimates of the economic burden of the outbreak range from $2.8 to $32.6 billion in lost gross domestic product. We estimated the comprehensive economic and social burden from the 2014 EVD outbreak to be $53.19 billion (2014 USD). The most significant component, $18.8 billion, was deaths from non-Ebola causes. Conclusions: A more complete understanding of the burden of the 2014 EVD outbreak underscores the value of interventions that can mitigate or reduce the severity of future outbreaks.