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Surveillance, prevention and control of leishmaniases in the European Union and its neighbouring countries
European Centre for disease prevention and control (ECDC)
European Centre for disease prevention and control (ECDC)
(2022)
C_CDC
This technical report presents the epidemiology of human and animal leishmaniases in the EU and its neighbouring countries and concludes that the disease remains widespread and underreported in many countries of southern Europe, northern Africa, and the Middle East and that there is a need to improv
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e leishmaniasis prevention and control based on robust surveillance in humans, animals, and vectors, and to increase public awareness following a one health approach.
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The WHO Pharmaceuticals Newsletter provides you with the latest information on the safety of medicinal products and regulatory actions taken by authorities around the world.
In addition, this edition includes summary and recommendations from the virtual meeting of the members of the WHO Programme f
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or International Drug Monitoring (PIDM) and other partners, which was held on 20 October 2022.
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This checklist is for any organization or person supporting the routine use of evidence in
the process of policy-making. Evidence-informed policy-making (EIPM) is essential for achieving the Sustainable Development Goals (SDGs) and universal health coverage (UHC). Its importance is emphasized in WH
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O’s Thirteenth General Programme of
Work 2019–2023 (GPW13). This checklist was developed by the WHO Secretariat of Evidence-Informed Policy Network (EVIPNet) to assist its Member countries in institutionalizing EIPM. Government agencies (i.e. the staff of the Ministry of Health),
knowledge intermediaries and researchers focused on strengthening EIPM will find in this checklist some key steps and tools to help their work. While the health sector is a key target group for EVIPNet, this tool can be applied by stakeholders from
different social sectors
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COVID-19 has altered health sector capacity in low-income and middle-income countries (LMICs). Cost data to inform evidence-based priority setting are urgently needed. Consequently, in this paper, we calculate the full economic health sector costs of COVID-19 clinical management in 79 LMICs under di
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fferent epidemiological scenarios.
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Since 2002 the distribution of external funding to reproductive, maternal, newborn, and child health (RMNCH) has become more equitable and better targeted at the poorest countries and those experiencing the highest mortality. The aid envelope is not large enough or well enough concentrated to close
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gaps in domestic government fund ing between the poorest and middle income countries. Donors and governments of low and middle income countries should increase their investments for RMNCH . Donors should further concentrate their funds on the poorest countries and those with the highest maternal, newborn, and child mortality. Investment is also needed to close serious data and methodological gaps for assessing equity of financing between and within countries
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The ongoing COVID-19 pandemic has shown that public financial management (PFM) should be an integral part of the response. Effectiveness in financing the health response depends not only on the level of funding but also on the way public funds are allocated and spent, this is determined by the PFM r
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ules, and how money flows to health service providers. So far, early assessments have shown that PFM systems ranged from being a fundamental enabler to acting as a roadblock in the COVID-19 health response. While service delivery mechanisms have been extensively documented throughout the pandemic, the underlying PFM mechanisms of the response also merit attention. To highlight the importance of PFM in health emergency contexts, this rapid review analyses various country PFM experiences and identifies early lessons emerging from the financing of the health response to COVID-19. The assessment is done by stages of the budget cycle: budget allocation, budget execution, and budget oversight. Identifying lessons from the varying PFM modalities used to finance the response to COVID-19 is fundamental both for health policy-makers and for finance authorities to prepare for future health emergencies.
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Since the 1970s, voluntary contributions have become an increasingly important component of WHO's budget. As voluntary contributions tend to be earmarked for donor-specified programmes and projects, there are concerns that this trend has diverted focus away from WHO's strategic priorities, made coor
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dination and attaining coherence more difficult, undermined WHO's democratic structures and given undue power to a handful of wealthy donors. In the past few years, the WHO Secretariat has pushed for donors to increase the amount of flexible funding they provide.
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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
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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.
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Background: In 2015, 5.3 million babies died in the third trimester of pregnancy and first month following birth. Progress in reducing neonatal mortality and stillbirth rates has lagged behind the substantial progress in reducing postneonatal and maternal mortality rates. The benefits to prenatal an
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d neonatal health (PNH) from maternal and child health investments cannot be assumed. Methods: We analysed donor funding for PNH over the period 2003–2013. We used an exhaustive key term search followed by manual review and classification to identify official development assistance and private grant (ODA+) disbursement records in the Countdown to 2015 ODA+ Database.
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The key actions, activities, and approaches in this document are organized within each of the 5Cs (see Table 1 in the PDF) and those of the Strategic preparedness and response plan (SPRP) pillars as follows:
National action plan key activities, prioritized for the current context and the current
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understanding of the threat of SARS-CoV-2
A. Transition from emergency response to longer term COVID-19 disease management.
B. Integrate activities into routine systems.
C. Strengthen global health security.
Special considerations for fragile, conflict-affected and vulnerable (including humanitarian) settings
WHO global and regional support to Member States to implement their national action plans
Key guidance documents for reference
This is a living document that will be updated to incorporate new technical guidance in response to the evolving epidemiological situation. National plans should be implemented in accordance with the principles of inclusiveness, respect for human rights, and equity.
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Little is known about the patterns of development assistance (DA) for each component of reproductive, maternal, newborn, child and adolescent health (RMNCAH) in conflict-affected countries nor about the DA allocation in relation to the burden of disease
In In recent years, China has increased its international engagement in health. Nonetheless, the lack
of data on contributions has limited efforts to examine contributions from China. Existing estimates that track
development assistance for health (DAH) from China have relied primarily on one data
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set. Furthermore, little is known
about the disbursing agencies especially the multilaterals through which contributions are disbursed and how these
are changing across time. In this study, we generated estimates of DAH from China from 2007 through 2017 and
disaggregated those estimates by disbursing agency and health focus area.
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This document presents the World Health Organization Operational framework for building climate resilient and low carbon health systems*. ***The framework's goal is to increase the climate resilience of health systems to protect and improve the health of communities in an unstable and changing clima
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te, while optimizing the use of resources and implementing strategies to reduce GHG emissions. It aims to contribute to the design of transformative health systems that can provide safe and quality care in a changing climate.
Implementation of the framework's ten components would help health organizations, authorities, and programmes to be better able to anticipate, prevent, prepare for, and manage climate-related health risks and therefore decrease the burden of associated climate-sensitive health outcomes. Implementing low carbon health practices would contribute to climate change mitigation while also improving health outcomes. Achieving these aims is an important contribution to universal health coverage (UHC), global health security, and specific targets within the Sustainable Development Goals (SDGs). The document is a useful resource for decision-makers in health systems, including public health agencies, and other specialized institutions, and for decision-makers in health-determining sectors.
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Nutrition data and information systems (ND&IS) are critical to guide the prioritisation, collection, analysis and
dissemination of nutrition data in countries. However, there is limited guidance for countries regarding how to invest
in their ND&IS and little is known about current financing alloca
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tions by both countries and donors
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Many low- and middle-income countries (LMICs) are undergoing an epidemiological transition. With an improvement in socioeconomic conditions and an aging population, cardiovascular diseases (CVDs), like cardiac arrhythmias, are expected to increase in these countries. However, there are limited studi
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es on the epidemiology and management of cardiac arrhythmias in LMICs. This review will highlight the unique challenges and opportunities that these countries face when managing cardiac arrhythmias.
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Non-communicable diseases (NCDs) are the second common cause of death in sub-Saharan Africa (SSA) accounting for about 35% of all deaths, after a composite of communicable, maternal, neonatal, and nutritional diseases. Despite prior perception of low NCDs mortality rates, current evidence suggests t
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hat SSA is now at the dawn of the epidemiological transition with contemporary double burden of disease from NCDs and communicable diseases. In SSA, cardiovascular diseases (CVDs) are the most frequent causes of NCDs deaths, responsible for approximately 13% of all deaths and 37% of all NCDs deaths. Although ischemic heart disease (IHD) has been identified as the leading cause of CVDs mortality in SSA followed by stroke and hypertensive heart disease from statistical models, real field data suggest IHD rates are still relatively low. The neglected endemic CVDs of SSA such as endomyocardial fibrosis and rheumatic heart disease as well as congenital heart diseases remain unconquered. While the underlying aetiology of heart failure among adults in high-income countries (HIC) is IHD, in SSA the leading causes are hypertensive heart disease, cardiomyopathy, rheumatic heart disease, and congenital heart diseases. Of concern is the tendency of CVDs to occur at younger ages in SSA populations, approximately two decades earlier compared to HIC. Obstacles hampering primary and secondary prevention of CVDs in SSA include insufficient health care systems and infrastructure, scarcity of cardiac professionals, skewed budget allocation and disproportionate prioritization away from NCDs, high cost of cardiac treatments and interventions coupled with rarity of health insurance systems. This review gives an overview of the descriptive epidemiology of CVDs in SSA, while contrasting with the HIC and highlighting impediments to their management and making recommendations.
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Background: COVID-19 is a global public health crisis that affects all sectors; studying the impact of this pandemic on the delivery of cardiology services in Africa is crucial as COVID-19-related cardiovascular complications may worsen the CVD burden in this already highly affected and resource-lim
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ited continent
Methods: This was a cross-sectional e-survey study conducted amongst cardiologists in African countries. The primary outcome was the change in service delivery in African cardiology units during the on-going COVID-19 pandemic. The secondary outcomes were the satisfaction of cardiologists with regards to the workload and factors associated with this satisfaction.
Results: There was a significant reduction in working time and the number of patients consulted by week during this pandemic (p<0.001). In general, there was a decrease in the overall activities in cardiovascular care delivery. The majority of cardiology services (76.5%) and consulting programs (85%) were adjusted to the pandemic. Only half of the participants were satisfied with their workload. Reconfiguration of the consultation schedule was associated with a reduced satisfaction of participants (p=0.02).
Conclusions: COVID-19 is associated with an overall reduction in cardiology services rendered in Africa. Since the cardiovascular burdens continue to increase in this part of the World and the risk of cardiovascular complications linked to SARS COV2 remains unchanged cardiology, departments in Africa should anticipate a significant surge of cardiology services demanded by patients after the COVID-19 pandemic.
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Benchmarking is a strategic process often used by businesses and institutes to standardize performance in relation to the best practices of their sector. The World Health Organization (WHO) and partners have developed a tool with a list of benchmarks and corresponding suggested actions that can be a
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pplied to implement the International Health Regulations 2005 (IHR) and strengthen health emergency prevention, preparedness, response and resilience capacities.
The first edition of the benchmarks was published in 2019 to support countries in developing, implementing and documenting progress of national IHR or health security plans (e.g. national action plan for health security (NAPHS), national action plan for emerging infectious diseases, public health emergencies and health security and other country level plans for health emergencies). The tool has been updated to incorporate lessons from COVID-19 and other health emergencies, to align with the updated IHR monitoring & evaluation framework (IHR MEF) tools and the health systems for health security framework, and to support strengthening health emergency prevention, preparedness, response and resilience (HEPR) capacities and the Preparedness and Resilience for Emerging Threats (PRET) initiative.
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Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status—wealth and education—differ among
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high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.
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Non-communicable diseases (NCDs) are of increasing concern for society and national governments, as well as globally due to their high mortality rate. The main risk factors of NCDs can be classified into the categories of self-management, genetic factors, environmental factors, factors of medical co
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nditions, and socio-demographic factors.
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