Mass population movements have accounted for the emergence of Chagas disease (CD) outside endemic regions,
including the European Union/European Economic Area (EU/EEA). The parasite responsible for causing CD,
Trypanosoma cruzi (T. cruzi), can be transmitted through substances of human origin (SoH...O), such as blood
transfusions and organ transplantations [1], posing a risk to the recipients. This, together with congenital
transmission, is of increasing concern in non-endemic countries
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Evaluation and Diagnosis of Penicillin Allergy for Healthcare Professionals
On January 14-16, 2003, the Centers for Disease Control and Prevention (CDC) held a communications roundtable in Atlanta, Georgia, to explore hospitals' challenges in communicating with internal and external audiences in communitywide emergencies involving radioactive materials. The roundtable, Hosp...ital Communications in a Mass Casualty Radiological Incident, is part of CDC's effort to help prepare the nation's public health community for threats of terrorism.
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Gender-based Violence Area of Responsibility Working Group July 2010
Clinician Outreach and Communication Activity (COCA) Call
April 12, 2016
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Public Health Burden of Commercial Tobacco Use
The burden of disease and death from commercial tobacco* use in the United States is
overwhelmingly caused by cigarettes and other combustible tobacco products.
The importance of robust mortality surveillance systems cannot be overstated in an era marked by increasing global health challenges where health threats loom large and population dynamics continue to evolve. Accurate and timely mortality data is essential for identifying trends and detecting emergi...ng health threats, evaluating the impact of interventions, and guiding evidence-based policy decisions.
This framework outlines a holistic approach to strengthening routine mortality surveillance systems, considering the unique contextual factors and challenges faced by African countries. It emphasizes the importance of establishing efficient data collection mechanisms, enhancing data quality and completeness, and promoting data sharing and collaboration among stakeholders.
Moreover, the framework recognizes the pivotal role of technology in the integration of data from fragmented mortality data sources. It highlights the potential of innovative data capture methods, advanced analytics, and real-time reporting systems to enhance mortality data’s accuracy, efficiency, and timeliness.
The continental framework for mortality surveillance aligns with Africa CDC’s mission and strategic goal by serving as a fundamental component in strengthening public health systems, enhancing disease surveillance capacities and capabilities, informing evidence-based policies and interventions, and promoting collaboration and coordination among African countries to address health challenges and improve health outcomes on the continent.
The successful implementation of this framework requires collective commitment and concerted efforts from governments, health institutions, and the international community. We hope this document will serve as a catalyst for transformative change, enabling countries to build resilient mortality surveillance systems that protect public health, save lives, and contribute to evidence-based decision-making.
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24 Nov. 2021; This guidance provides considerations and a series of options that can be used to inform country strategies to minimise risk associated with shortages of personal protective equipment (PPE).
Re-use and reprocessing of single use PPE must be a last-resort temporary measure that is impl...emented only until stocks are replenished (2).This remains an area of active research and further updates to this evidence base are anticipated.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The ECDC, the EFSA and the EMA have for the first time jointly explored associations between consumption of antimicrobials in humans and food-producing animals, and antimicrobial resistance in bacteria from humans and food-producing animals, using 2011 and 2012 data currently available from their re...levant five EU monitoring networks. Combined data on antimicrobial consumption and corresponding resistance in animals and humans for EU MSs and reporting countries were analysed using logistic regression models for selected combinations of bacteria and antimicrobials. A summary indicator of the proportion of resistant bacteria in the main food-producing animal species was calculated for the analysis, as consumption data in food-producing animals were not available at the species level
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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This guidance document is based on research of social media activity related to antibiotic use at EU level, as well as on a survey of the social media activities of EAAD partner organisations, mostly EU umbrella organisations of patients and health professionals. The research showed that there is al...ready some social media activity on prudent antibiotic use and that a few potential influencers are emerging. Similarly, the survey of the EU-wide partners of EAAD showed that respondents are becoming active on social media platforms.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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Healthcare-associated infections (HAI) are a significant burden globally, with millions of patients affected each year. These infections affect both high- and limited-resource healthcare settings, but in limited-resource settings, rates are approximately twice as high as high-resource settings (15 o...ut of every 100 patients versus 7 out of every 100 patients). Furthermore, rates of infections within certain patient populations are significantly higher in limited-resource settings, including surgical patients, patients in intensive-care units (ICU) and neonatal units. It is well documented that environmental contamination plays a role in the transmission of HAIs in healthcare settings. Therefore, environmental cleaning is a fundamental intervention for infection prevention and control (IPC).It is a multifaceted intervention that involves cleaning and disinfection (when indicated) of the environment alongside other key program elements to support successful implementation (e.g., leadership support, training, monitoring, and feedback mechanisms). To be effective, environmental cleaning activities must be implemented within the framework of the facility IPC program, and not as a standalone intervention. It is also essential that IPC programs advocate for and work with facility administration and government officials to budget, operate and maintain adequate water, sanitation and hygiene (WASH) infrastructure to ensure that environmental cleaning can be performed according to best practices.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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