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This study addresses part of the Terms of Reference for a scoping report ‘An analysis of approaches to laboratory capacity strengthening for drug resistant infections in low and middle income countries’. It has been produced as a separate report because it is also very relevant for a second stud
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y ‘Supporting Surveillance Capacity for Antimicrobial Resistance: Regional Networks and Educational Resources’. This study compares antimicrobial surveillance systems in three low and middle income countries in order to describe the components of these systems and to understand which surveillance models are best suited to particular contexts. Ghana, Nigeria and Nepal were selected as study countries because they cover different continents and include one ‘fragile’ context (Nigeria). Brief information from Malawi is also included.
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WHO would like to express its gratitude and appreciation to all Member States that provided information to the WHO survey on policies and activities at the national level in the area of antimicrobial resistance. The contribution of staff in WHO Regional and Country Offices has been invaluable: in ga
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ther-ing original data and information from Member States, in supporting the process of aggregation of these data; and in reviewing the regional analysis of the findings that reflect the country situation at the point when the survey was conducted. The support and commitment of the members of the WHO Task Force on Antimicrobial Resistance, comprising WHO staff from Headquarters and Regional Offices has, is also acknowledged.
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In May 2015, the Sixty-eighth World Health Assembly recognized the importance of the public health problem posed by antimicrobial resistance by adopting the global action plan on antimicrobial resistance (“global action plan”). The global action plan proposes interve
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ntions to control antimicrobial resistance, including reducing the unnecessary use of antimicrobials in humans and in animals. The global action plan also emphasizes the need to take a cross-sectoral, “One Health” approach for controlling antimicrobial resistance, involving efforts by actors from many disciplines including human and veterinary medicine.
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This situation analysis has gathered information about the current state of AMR, contributing factors and antimicrobial use in Zimbabwe from the human, animal, agricultural and environmental sectors. Data has been gathered from different sectors such as the general public, academia, the Ministry of
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Health and Child Care, the Ministry of Agriculture Mechanization and Irrigation Development and the Ministry of Environment, Water and Climate. It shows that AMR is a real concern in Zimbabwe and a threat to the health outcomes of humans, to the economic productivity of the livestock industry and a risk to the environment.
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The Global Antibiotic Resistance Partnership (GARP)-Mozambique team, in partnership with the Center for Disease Dynamics, Economics & Policy (CDDEP), has produced this report as part of a solid com-mitment to develop actionable policy proposals to tackle antibiotic resistance and improve appropriate
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antibiotic access. It is the result of a thorough review of published and unpublished data on antibiotic resistance and a long internal consultation effort that engaged academic scientists, health professionals and other stakeholders within Mozambique.
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The global emergence of antimicrobial resistance (AMR) is posing a threat to human health. Putting resources into the containment of AMR – including surveillance – is one of the highest-yield investments a country can make to mitigate its impact. In 2015, WHO launched the Global Antimicrobial Re
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sistance Surveillance System (GLASS), the first global collaborative effort to foster AMR surveillance in bacteria causing acute infections. As of December 2018, 71 countries are enrolled in GLASS. The aim of this report is to document participation efforts and outcomes across these countries, and highlight differences and constraints identified to date. This report follows on from the first GLASS Report – Early implementation 2016-17, published in January 2018, and drawing on data from GLASS first data call in 2017.
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Event-based surveillance (EBS) is defined as the organized collection, monitoring, assessment and interpretation of mainly unstructured ad hoc information regarding health events or risks, which may represent an acute risk to health. Both indicator-based and event-based surveillance components serve
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the early warning and response (EWAR) function of the public health surveillance system. The Framework for Event-based Surveillance offers guidance to public health practitioners seeking to implement EBS at each administrative level in their countries.
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On 15–16 December 2020, WHO and the Medicines for Malaria Venture co-convened a technical consultation to consider the preferred product characteristics (PPCs) for drugs used in malaria chemoprevention. The main goal of the technical consultation was to agree on the most important PPCs for drugs t
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o protect populations from malaria (chemoprevention), while considering relevant measures of efficacy and the safety data needed to support WHO policy recommendations.
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Bonchial asthma is the most common chronic respiratory disease in the world. In Kenya, it has been estimated that about 7.5% of the Kenyan population, nearly 4 million people, are currently living with asthma. Many cases tend to be underdiagnosed and undertreated which leads to high levels of morbid
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ity and avoidable deaths. The consequences of poorly controlled asthma, including physical, mental, social, and economic impacts, are magnified in the poor on account of poor access to asthma services and sub-optimal quality of those services. With these guidelines, Kenya's Ministry of Health aims to work towards embedding asthma care in Universal Health Care (UHC) to ensure that quality asthma services are available in primary care settings with
referral networks strengthened for those who may require secondary and tertiary care. These national asthma guidelines will also ensure that treatment for asthma is standardized in both the public and the non-state health care sector.
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The threats posed by climate change to agriculture are now well known. Climate change has already resulted in a negative trend in mean crop yield per decade, and this is likely to continue as the century unfolds. In Africa, 650 million people are currently dependent on rain- fed agriculture and, des
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pite progress in the Millennium Development Goals, food and nutrition insecurity remainunacceptably high.
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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
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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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Antimicrobial resistant (AMR) organisms are increasing globally, threatening to render existing treatments ineffective against many infectious diseases. In Africa, AMR has already been documented to be a problem for HIV and the pathogens that cause malaria, tuberculosis, typhoid, cholera, meningitis
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, gonorrhea, and dysentery. Recognizing the urgent need for action, the World Health Assembly adopted the Global Action Plan on Antimicrobial Resistance in May 2015. In accordance with the Global Action Plan and to meet needs specific to Africa, Africa CDC will establish the Anti-Microbial Resistance Surveillance Network (AMRSNET). AMRSNET is a network of public health institutions and leaders from human and animal health sectors who will collaborate to measure, prevent, and mitigate harms from AMR organisms.
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In the kingdom of Bahrain, the national antibiotic committee will set the framework for the national response to AMR, especially bacterial resistance to antibiotics. It will be aligned with the World Health Organization’s (WHO) Global Action Plan on Antimicrobial Resistance, and with standards and
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guidelines from the Food and Agriculture Organization of the United Nations (FAO) and the World Organisation for Animal Health (OIE).
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Antimicrobial resistance is one of the most important threats to the health worldwide. Antimicrobial resistance or drug resistance is the reduction of the pharmaceutical effects of a drug against a disease or reduction of its effectiveness in improving the clinical signs of a disease. Antimicrobial
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resistance occurs naturally but misuse of antibiotics in human and animals significantly accelerates the process of developing antimicrobial resistance. In fact, antimicrobial resistance refers to the resistance of a microorganism to one or more antimicrobial drugs which had been previously sensitive to these drugs. Antimicrobial resistance can occur in a wide variety of pathogens including bacteria, parasites, viruses, fungi, and cancer cells and may threaten the life of every person, in every age, and in every country
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The objectives of NAP are aligned with the global action plan based on national needs and priorities. The emphasis is on One Health approach with all sectors especially human health, animal health and environment contributing towards minimizing the emergence and impact of AMR in Jordan.
Myanmar, as a country going through rapid socio-political transition and institutional development also suffers with a high burden of infectious disease. An ongoing challenge has been to effectively reach its 51 million population, most of whom battle tuberculosis, acute respiratory infections, diar
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rhoea and malaria including amongst under-five children.
Limited research data on the occurrence of resistant organisms in the nation have, makes it hard to estimate the exact antimicrobial resistance (AMR) scenario. Limited peer reviewed evidence indicates significant divergence from the average resistance trends in APAC region. Nevertheless, several key steps by Government of Myanmar have been instrumental in paving the way for the country to join other nations in the South East Asia Region to speed up its plan on addressing the AMR crisis. Combating antimicrobial resistance would, however, require highest political commitment, multi-sectoral coordination, sustained investment and technical assistance.
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Preliminary Stakeholder Engagement Plan (SEP)
India COVID-19 Emergency Response and Health Systems Preparedness Project (P173836)
Ministery of Health and Familiy Welfare - Government of India
(2020)
C2
A new respiratory infectious disease, COVID-19, caused by a new coronavirus called SARS-CoV-2, emerged in early December 2019. Since then, the virus has spread to India and 106 other countries in Asia, Europe, North America, Africa, and Oceania. On March 11, the World Health Organization (WHO) decl
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ared the outbreak a pandemic, which has since rapidly evolved. As an economic hub with substantial global connectivity and movement of people and goods, India is directly impacted by the COVID-19 pandemic. Although it is too early to gauge the full spectrum of the outbreak’s social and economic impacts, COVID-19 has already caused lockdowns in China, Korea, and in many countries in Europe, and in some states of India, suspension of schools and universities, disruption of food systems and other supply chains, as well as a slowdown in trade between India and rest of the world.
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Instruction for Use
Infection Prevention and Control Programmes
January 2020
Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
cluster survey. Malaria parasitological data were collected, but the survey period did not overl
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ap with the high
malaria transmission season. A malaria indicator survey (MIS) was also conducted during the same year, within the
malaria peak transmission season. This study compares estimates of the geographical distribution of malaria parasite
risk and of the effects of interventions obtained from the DHS and MIS survey data.
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