The WHO Global Antimicrobial Resistance and Use Surveillance System (GLASS) was launched in 2015 to foster AMR surveillance and inform strategies to contain AMR. The system started with surveillance of AMR in bacteria causing common human infections and has expanded its scope to include surveillance... of antimicrobial consumption (AMC), invasive fungal infections, and a One Health surveillance model relevant to human health. To meet future challenges, it is in continuous evolution to enhance the quality and representativeness of data to inform the AMR burden accurately. As of the end of 2022, 127 countries, territories and areas participate in GLASS.
The fifth GLASS report, produced in collaboration with Member States, summarizes 2020 data on AMR rates in common bacteria from countries, territories, and areas. The report brings new features, including analyses of population testing coverage or AMR trends. For the first time, the report presents 2020 data on AMC at the national level. A new interactive dashboard allow users to explore AMR and AMC global data, country profiles and download the data.
This report marks the end of the early implementation phase of GLASS. In addition to presenting data collected through the latest data call, this report provides a summary of five years of national AMR surveillance data contributed to GLASS from its initiation, presents AMR findings in the context of progress of country participation in GLASS and in global AMR surveillance coverage and laboratory quality assurance systems at (sub)national level.
Patterns of antimicrobial consumption are presented by country with a particular focus on antibacterials. The report also presents the antimicrobial consumption according to the WHO AWaRe antibiotic classification, for penicillins and cephalosporines. From a One Health perspective, the report presents antimicrobial consumption data in the human sector expressed in tons to allow a comparison with antimicrobial consumption from other sectors (not included in this report).
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Trachoma is the leading infectious cause of blindness (2). It is characterized by repeated
conjunctival infection with particular strains of Chlamydia trachomatis. This scars the conjunctivae and,
in some cases, leads to trichiasis with or without entropion. The abrasive action of eyelashes can
d...amage the cornea. In 2018, trachoma affected the poorest residents of the poorest communities of 43
countries
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Every day in 2020, approximately 800 women died from preventable causes related to pregnancy and childbirth - meaning that a woman dies around every two minutes.
Sustainable Development Goal (SDG) target 3.1 is to reduce maternal mortality to less than 70 maternal deaths per 100 000 live births by ...2030.
The United Nations Maternal Mortality Estimation Inter-Agency Group (MMEIG) – comprising WHO, the United Nations Children’s Fund (UNICEF), the United Nations Population Fund (UNFPA), the World Bank Group and the United Nations Department of Economic and Social Affairs, Population Division (UNDESA/Population Division) has collaborated with external technical experts on a new round of estimates covering 2000 to 2020. The estimates represent the most up to date, internationally-comparable MMEIG estimates of maternal mortality, using refined input data and methods from previous rounds.
The report presents internationally comparable global, regional and country-level estimates and trends for maternal mortality between 2000 and 2020.
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Background: Cardiovascular disease (CVD), mainly heart attack and stroke, is the
leading cause of premature mortality in low and middle income countries (LMICs).
Identifying and managing individuals at high risk of CVD is an important strategy to prevent and control CVD, in addition to multisector...al population-based interventions to reduce CVD risk factors in the entire population.
Methods: We describe key public health considerations in identifying and managing individuals at high risk of CVD in LMICs.
Results: A main objective of any strategy to identify individuals at high CVD risk is to maximize the number of CVD events averted while minimizing the numbers of
individuals needing treatment. Scores estimating the total risk of CVD (e.g. ten-year risk of fatal and non-fatal CVD) are available for LMICs, and are based on the main CVD risk factors (history of CVD, age, sex, tobacco use, blood pressure, blood cholesterol and diabetes status). Opportunistic screening of CVD risk factors enables identification of persons with high CVD risk, but this strategy can be widely applied in low resource settings only if cost effective interventions are used (e.g. the WHO Package of Essential NCD interventions for primary health care in low resource settings package) and if treatment (generally for years) can be sustained, including continued availability ofaffordable medications and funding mechanisms that allow people to purchase medications without impoverishing them (e.g. universal access to health care). Thisalso emphasises the need to re-orient health systems in LMICs towards chronic diseases management.
Conclusion: The large burden of CVD in LMICs and the fact that persons with high
CVD can be identified and managed along cost-effective interventions mean that
health systems need to be structured in a way that encourages patient registration, opportunistic screening of CVD risk factors, efficient procedures for the management of chronic conditions (e.g. task sharing) and provision of affordable treatment for those with high CVD risk. The focus needs to be in primary care because that is where most of the population can access health care and because CVD programmes can be run effectively at this level.
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Many features of the environment have been found to exert an important influence on cardiovascular disease (CVD) risk, progression, and severity. Changes in the environment due to migration to different geographic locations, modifications in lifestyle choices, and shifts in social policies and cultu...ral practices alter CVD risk, even in the absence of genetic changes. Nevertheless, the cumulative impact of the environment on CVD risk has been difficult to assess
and the mechanisms by which some environment factors influence CVD remain obscure. Human environments are complex; and their natural, social and personal domains are highly variable due to diversity in human ecosystems, evolutionary histories, social structures, and individual choices. Accumulating evidence supports the notion that ecological features such as the diurnal cycles of
light and day, sunlight exposure, seasons, and geographic characteristics of the natural environment such altitude, latitude and greenspaces are important determinants of cardiovascular health and CVD risk. In highly developed societies, the influence of the natural environment is moderated by the physical characteristics of the social environments such as the built environment
and pollution, as well as by socioeconomic status and social networks. These attributes of the
social environment shape lifestyle choices that significantly modify CVD risk. An understanding
of how different domains of the environment, individually and collectively, affect CVD risk could
lead to a better appraisal of CVD, and aid in the development of new preventive and therapeutic
strategies to limit the increasingly high global burden of heart disease and stroke.
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This review examines high-quality research evidence that synthesises the efects of extreme heat on human health in tropical
Africa. Web of Science (WoS) was used to identify research articles on the efects extreme heat, humidity, Wet-bulb Globe
Temperature (WBGT), apparent temperature, wind, Heat ...Index, Humidex, Universal Thermal Climate Index (UTCI), heatwave, high temperature and hot climate on human health, human comfort, heat stress, heat rashes, and heat-related morbidity
and mortality
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