A Toolkit for Implementation. Module 1: An Overview of Implementation at National, Province and District Levels
A toolkit for Implementation. Module 3: Participatory community assessment in maternal and newborn health
A Toolkit for Implementation. Module 5: Finalizing, monitoring and evaluating the IFC action plan
A Toolkit for Implementation. Module 2: Facilitator’s guide to the orientation workshop on the IFC framework;
Good Practices in Mental Health & Well-being
Internationally, there is a growing concern over antimicro-bial resistance (AMR) which is currently estimated to ac-count for more than 700,000 deaths per year worldwide. If no appropriate measures are taken to halt its pro-gress, AMR will cost approximately 10 million lives andabout US$100 trillion... per year by 2050. In contrast tosome other health issues, AMR is a problem that con-cerns every country irrespective of its level of incomeand development as resistant pathogens do not respect borders.Despite the threat presented by AMR, the 2014 WorldHealth Organization (WHO) and the recent O’Neill re-port describe significant gaps in surveillance, standardmethodologies and data sharing. The 2014 WHOreport identified Africa and South East Asia as the regions without established AMR surveillance systems.
Tadesseet al. BMC Infectious Diseases (2017) 17:616 DOI 10.1186/s12879-017-2713-1
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Children without access to safe water are more likely to die in infancy -- and throughout childhood -- from diseases caused by
water-borne bacteria, to which their small bodies are more vulnerable.
Intensive Care Med (2009) 35:9–29DOI 10.1007/s00134-008-1336-9
Although thousands of papers have been devoted tohospital-acquired pneumonia (HAP), many controversiesremain, and management of HAP is probably often sub-optimal. Several reviews or guidelines have been pub-lished rec...ently, mostly by North American initiatives(CDC, ATS). Three European Societies (ERS, ESCMID andESICM) were interested in producing a document thatcould complement in some way the last IDSA/ATS guidelines published 3 years ago. In addition, the Helics
working group supported this initiative.
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The purpose of this guidance is to assist WHO Member States, and other stakeholders, in the establishment and development of programmes of integrated surveillance of antimicrobial resistance in foodborne bacteria (i.e., bacteria commonly transmitted by food). In this guidance, “integrated surveill...ance of antimicrobial resistance in foodborne bacteria” is defined as the collection, validation, analyses and reporting of relevant microbiological and epidemiological data on antimicrobial resistance in foodborne bacteria from humans, animals, and food, and on relevant antimicrobial use in humans and animals. Integrated surveillance of antimicrobial resistance in foodborne bacteria therefore includes data from relevant food chain sectors (animals, food and humans) and includes data on both antimicrobial resistance and antimicrobial use. Integrated surveillance of antimicrobial resistance for foodborne bacteria expands on traditional public health surveillance to include multiple elements of the food chain, and to include antimicrobial use data, to better understand the sources of infection and transmission routes.
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The second ECDC/EFSA/EMA joint report on the integrated analysis of antimicrobial consumption (AMC) and antimicrobial resistance (AMR) in bacteria from humans and food-producing animals addressed data obtained by the Agencies’ EU-wide surveillance networks for 2013–2015. AMC in both sectors, exp...ressed in mg/kg of estimated biomass, were compared at country and European level. Substantial variations between countries were observed in both sectors. Estimated data on AMC for pigs and poultry were used for the first time. Univariate and multivariate analyses were applied to study associations between AMC and AMR. In 2014, the average AMC was higher in animals (152 mg/kg) than in humans (124 mg/kg), but the opposite applied to the median AMC (67 and 118 mg/kg, respectively). In 18 of 28 countries, AMC was lower in animals than in humans. Univariate analysis showed statistically-significant (p < 0.05) associations between AMC and AMR for fluoroquinolones and Escherichia coli in both sectors, for 3rd- and 4th-generation cephalosporins and E. coli in humans, and tetracyclines and polymyxins and E. coli in animals. In humans, there was a statistically-significant association between AMC and AMR for carbapenems and polymyxins in Klebsiella pneumoniae. Consumption of macrolides in animals was significantly associated with macrolide resistance in Campylobacter coli in animals and humans. Multivariate analyses provided a unique approach to assess the contributions of AMC in humans and animals and AMR in bacteria from animals to AMR in bacteria from humans. Multivariate analyses demonstrated that 3rd- and 4th-generation cephalosporin and fluoroquinolone resistance in E. coli from humans was associated with corresponding AMC in humans, whereas resistance to fluoroquinolones in Salmonella spp. and Campylobacter spp. from humans was related to consumption of fluoroquinolones in animals. These results suggest that from a ‘One-health’ perspective, there is potential in both sectors to further develop prudent use of antimicrobials and thereby reduce AMR.
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A tool for measuring alcohol policy implementation