Key message 2: diabetes and its consequences are costly to patients and economies We estimate that, in 2015, the overall cost of diabetes in sub-Saharan Africa was US$19•45 billion or 1•2% of cumulative gross domestic product (GDP). Around $10•81 billion (55•6%) of this cost arose from direct costs, which included expenditure on diabetes treatment (eg, medication, hospital stays, and treatment of complications), with out-of-pocket expenditure likely to exceed 50% of the overall health expenditure in many countries. We estimate that the total cost will increase to between $35•33 billion (1•1% of GDP) and $59•32 billion (1•8% of GDP) by 2030. Putting in place systems to prevent, detect, and manage hyperglycaemia and its consequences is therefore warranted from a health economics perspective. Key message 3: health systems in countries in sub-Saharan Africa are unable to cope with the current burden of diabetes and its complications By use of information from WHO Service Availability Readiness Assessment surveys and World Bank Service Delivery Indicator surveys and the local knowledge of Commissioners, we found inadequacies at all levels of the health system required to provide adequate management for diabetes and its associated risk factors and sequelae. We found inadequate availability of simple equipment for diagnosis and monitoring, a lack of sufficiently knowledgable health-care providers, insufficient availability of treatments, a dearth of locally appropriate guidelines, and few disease registries. These inadequacies result in a substantial dropoff of patients along the diabetes care cascade, with many patients going undiagnosed and with those who are diagnosed not receiving the advice and drugs they need. We also noted scarce facilities to manage the microvascular and macro vascular complications of diabetes. Additionally, despite calls for adding the care of diabetes and other cardiovascular risk factors onto existing infectious disease programmes (such as those for HIV), we found little evidence that such combined programmes are successful at improving outcomes.

BackgroundThe latest outbreak of Ebola in West Africa overwhelmed the affected countries, with the impact on health extending far beyond Ebola–related deaths that have exceeded 11 000. The need to promptly mobilise resources to control emerging infections is widely recognized. Yet, data on research funding for emerging infections remains inadequately documented.MethodsWe defined research investment as all funding flows for Ebola and/or Marburg virus from 1997 to April 2015 whose primary purpose was to advance knowledge and new technologies to prevent or cure disease. We sourced data directly from funding organizations and estimated the investment in 2015 US dollars (US$).ResultsFunding for Ebola and Marburg virus research in 1997 to 2015 amounted to US$ 1.035 billion, including US$ 435.4 million (42.0%) awarded in 2014 and 2015. Public sources of funding invested US$ 758.8 million (73.1%), philanthropic sources US$ 65.1 million (6.3%), and joint public/private/philanthropic ventures accounted for US$ 213.8 million (20.6%). Prior to the Ebola outbreak in 2014, pre–clinical research dominated research with US$ 443.6 million (73.9%) investment. After the outbreak, however, investment for new product development increased 942.7–fold and that for clinical trials rose 23.5–fold. Investment in new tools to control Ebola and Marburg virus amounted to US$ 399.1 million, with 61.3% awarded for vaccine research, 29.2% for novel therapeutics research such as antivirals and convalescent blood products, and 9.5% for diagnostics research. Research funding and bibliometric output were moderately associated (Spearman’s ρ = 0.5232, P = 0.0259), however number of Ebola cases in previous outbreaks and research funding (ρ = 0.1706, P = 0.4985) and Ebola cases in previous outbreaks and research output (ρ = 0.3020, P = 0.0616) were poorly correlated.ConclusionSignificant public and philanthropic funds have been invested in Ebola and Marburg virus research in 2014 and 2015, following the outbreak in West Africa. Long term, strategic vision and leadership are needed to invest in infections with pandemic potential early, including innovative financing measures and open access investment data to promote the development of new therapies and technologies.

Background The scale of the COVID-19 pandemic has required rapid development of both governmental and institutional policies and protocols to minimize transmission. We describe our institution's implementation of a symptom monitoring program with this goal. Methods We developed a symptom monitoring tool based on our return-to-work guidelines using a Qualtrics survey tool. We implemented this for healthcare workers (HCWs) and provided individualized real time guidance and linkage to COVID-19 testing if indicated. Results During the period from April 2nd to April 17th, 2020, 9446 HCWs had enrolled in the symptom tracking survey, with 5,035 HCWs completing the survey daily at the end of this period. 1,318 HCWs had been identified as being symptomatic with an indication for SARS-CoV-2 testing and were directed to the hotline to have this ordered. Of these, 82% reported not currently staying home from work due to illness or quarantine when first reporting symptoms. Discussion and Conclusions A survey based symptom monitoring tool can be rapidly designed and implemented, and incorporated with a testing strategy. Our results show the potential for quick uptake, and effectiveness in identifying and addressing presenteeism. We report our large academic institution's experience as a model to be adapted for use in this and future pandemics.

BackgroundA lack of advanced healthcare information systems and validated scientific cohorts in Nicaragua makes it difficult to estimate disease prevalences and other public health statistics. Although there is concern of an “epidemic” of chronic kidney disease (CKD) in this country, statistics regarding its magnitude are derived from only a small number of non-representative studies. Budgetary constraints and the logistical problems of maintaining a study cohort make longitudinal studies difficult. The Rivas Cohort was created to measure disease burden of CKD and other public health priorities in the Department of Rivas, Nicaragua. Using primarily volunteer research students and technologic innovation including GPS, digital photography and point of care biochemical analysis, the ability to establish a longitudinal chronic disease cohort is demonstrated.MethodsSubjects were recruited from consecutive adjacent households in thirty-two randomly selected communities in the ten municipalities that comprise the Department of Rivas in southern Pacific coastal Nicaragua. The study was conducted in two phases. In the first phase, subjects were enrolled into the cohort and consented for future re-contact. In Phase II, conducted two years later, attempts were made to re-contact 400 of these subjects for additional data collection. Demographic, lifestyle, occupational, exposure and health data was collected for both phases of the study. Blood and urine testing and height, weight and blood pressure measurements were also performed. GPS coordinates of homes were recorded and maps of remote communities created.ResultsOf 1397 adults living in 533 households approached for participation a total of 1242 (89 %) were enrolled in the cohort. The median age is 41 years and 43 % are male, demographics in agreement with Nicaraguan census data for the Department of Rivas. During Phase II we attempted to re-contact 400 subjects for a follow-up study of CKD. It was possible to re-contact 84 % of these participants and of those re-contacted 95 % agreed to participate in the follow-up study. Of subjects that were not successfully re-contacted the majority had either moved (32) or were not at home (22) at the time of the study team visits.ConclusionThe Rivas Cohort Study enrolled a representative sample of 1242 adults living in the Department of Rivas, Nicaragua. The high re-contact and participation rates at two years suggests that the cohort is suitable for long-term studies and presents opportunities for investigations of disease prevalence, incidence, treatment and other public health matters. GPS coordinates and maps are available for future researchers who wish to use the cohort for additional studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s12882-016-0320-9) contains supplementary material, which is available to authorized users.

IntroductionThe pace of development of new technologies and their application to humanitarian purposes has outstripped careful, ethical consideration of the consequences of their use. Technologies that were once available only to governments and military have become affordable and within reach of individuals and humanitarian organizations. This diversification of uses from initial military applications brings with it questions that reflect long-recognized challenges of humanitarian work. When the international community responds to military conflict or natural disaster, how do we ensure that the voices and perspectives of members of the affected communities are heard? What threats to the core humanitarian principles of impartiality and respect for the independence of those being aided do these technologies bring with them? We consider here two examples of technologies that highlight these challenges: drone use in humanitarian disaster response, and satellite imagery analysis to document and prevent mass atrocities.