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.
more
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.
more
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.
more
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.
more
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.
more
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.
more
Learn the ETAT+ guidelines on how to resuscitate a newborn baby who is born not breathing in this exciting 3D simulation training app. Navigate around a virtual reality hospital, find the equipment you need and quiz yourself with interactive quizzes, multiple-choice questions (MCQs) and perform simu...lated procedures.
In this simulated scenario, you are faced with a baby who is born not breathing and have to use your clinical skills to follow the ETAT + guidelines and save the baby's life. You are working against the clock and must select the correct medical equipment and carry out the key life-saving steps needed.
ETAT + guidelines for the management of paediatric emergencies are currently used for training healthcare professionals in Kenya, Uganda, Rwanda, Zimbabwe, Zambia, Malawi, Tanzania, Sierra Leone and Myanmar and are supported by the UK's Royal College of Paediatrics and Child Health.
LIFE (Life-saving Instruction for Emergencies) is a new smartphone and virtual reality (VR) medical simulation training platform for teaching healthcare workers in Africa and low-resource settings how to save lives using a fun and challenging 3D game. LIFE allows nurses, doctors, medical students, trainees and healthcare workers who want to learn key resus skills on their own smartphones, to enter a realistic 3D hospital environment using the latest game-engine technology to try out their skills on simulated patients.
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Background: East African trypanosomiasis is an uncommon, potentially lethal disease if not diagnosed and treated in a timely manner. South Africa, as a centre for emergency medical evacuations from much of sub-Saharan Africa, receives a high proportion of these patients, mostly tourists and expatria...te residents.
Methods: The cases of East African trypanosomiasis patients evacuated to South Africa, for whom diagnostic and clinical management advice was provided over the years 2004–2018, were reviewed, using the authors’ own records and those of collaborating clinicians.
Results: Twenty-one cases were identified. These originated in Zambia, Malawi, Zimbabwe, Tanzania, and Uganda. Nineteen cases (90%) had stage 1 (haemolymphatic) disease; one of these patients had fatal myocarditis. Of the two patients with stage 2 (meningoencephalitic) disease, one died of melarsoprol encephalopathy. Common problems were delayed diagnosis, erroneous assessment of severity, and limited access to treatment.
Conclusions: The key to early diagnosis is recognition of the triad of geographic exposure, tsetse fly bites, and trypanosomal chancre, plus good microscopy. Elements for successful management are rapid access to specific drug treatment, skilled intensive care, and good laboratory facilities. Clinical experience and the local stock of antitrypanosomal drugs from the World Health Organization have improved the chance of a successful outcome in the management of East African trypanosomiasis in South Africa; the survival rate over the period was 90.5%.
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In East Africa, the trend in cross-border FGM puts at risk the progress achieved in eliminating the practice. The only way we can reach zero FGM by 2030 is by concerted and immediate action to address all aspects of FGM.
This policy brief highlights the cross-border dimension of FGM (Ethiopia, Keny...a, Somalia, Tanzania and Uganda) in the East Africa region. The brief describes the factors that perpetuate cross-border FGM and the work that is being done to reduce the rates.
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The main purpose of the meeting was to review tsetse control tools, activities and their contribution to the elimination of gHAT and the monitoring thereof. Seven endemic countries provided reports on recent and ongoing vector control interventions at the national level (Angola, Cameroon, Côte d’...Ivoire, Chad, Democratic Republic of the Congo, Guinea and Uganda). Country reports focused on the in situations implementing and supporting vector control activities, the tools and the approaches in use, the coverage of the activities in space and time and their impacts on tsetse populations. Future perspectives for vector control in the respective countries were also discussed, including opportunities and challenges to sustainability.
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EQUIP: Ensuring Quality in Psychological Support is a joint WHO/UNICEF project to improve the competence of helpers and the consistency and quality of training and service delivery. The EQUIP platform makes freely available competency assessment tools and e-learning courses to support governments, t...raining institutions, and non-governmental organizations, both in humanitarian and development settings, to train and supervise the workforce to deliver effective psychological support to adults and children.
EQUIP enhances training and supervision for improved mental health and psychosocial support services.
EQUIP used a consensus-building approach including key stakeholders to develop the evidence-informed competency-based training materials and guidance, as well as the competency assessment tools. These resources have been tested in Ethiopia, Jordan, Kenya, Lebanon, Nepal, Peru, Uganda and Zambia, with results demonstrating training improvements in groups that used the EQUIP platform. For example, use of EQUIP in Lebanon with children and adolescents led to an increase in mastery of core helping skills compared to standard training approaches.
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Eleven (11) districts in Rwanda were initially were considered most at risk of the outbreak, namely:
• Rusizi, Nyamasheke, Karongi, Rutsiro, Rubavu (bordering DRC)
• Musanze, Burera, Gicumbi and Nyagatare (bordering Uganda)
• Kigali city (comprised of 3 localities) due to the presence of Ki...gali International Airport.
The National Contingency plan was revised in February 2019 and two districts added to the list (Nyabihu and Nyanza), bring total districts at risk to 13. During the timeframe, the operation, however covered the 11 initial districts.
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This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 millionpeople—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averagescan hide enormous inequality inpatterns of povertywith...in countries. For instance, in Uganda 55 percentof the population experience multidimensional poverty—similartotheaverage in Sub-Saharan Africa. But Kampala, the capital city, has an MPI rate of sixpercent, whileinthe Karamojaregion, the MPI soars to 96 percent—meaningthat partsof Ugandaspan the extremes of Sub-Saharan Africa.There is even inequality under the same roof. In South Asia, for example, almost a quarter ofchildren under five live in households where at least one child in the household is malnourished but at least one child is not.
There is also inequality among the poor. Findings of the2019 global MPI paint a detailed picture of the many differences in how-and how deeply -people experience poverty. Deprivationsamong the poor varyenormously: in general, higher MPI valuesgo hand in hand with greater variationin the intensity of poverty. Results also show that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lackingessentialssuch as clean water, sanitation, adequate nutrition or primary education
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Active screening ongoing in 14 active IOMsupported PoE sites, namely: Yei airstrip, Yei SSRRC, Tokori, Lasu, Kaya, Bazi, Salia Musala, Okaba, Khor Kaya (along Busia Uganda Border) in Morobo County, Pure, Kerwa, Khorijo, Birigo in Lainya County and Bori.
Medical Peace Work is an emerging field of expertise in health work, violence prevention, and peace-building. These interactive cases will introduce you to some of the key concepts, opportunities and dilemmas in the peace health field. This case is about encountering victims of torture in a GP’s ...surgery. It follows the story of a young woman from Uganda who is a victim of torture. This is one of seven Medical Peace Work courses.
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UNHCR, the UN Refuge Agency, and NGO partners are launching an appeal for US$2.7 billion to address the live-saving humanitarian needs of South Sudanese refugees in 2019 and 2020.
Five years on since the onset of a brutal civil war, over 2.2 million South Sudanese refugees have sought safety in six... neighboring countries Uganda, Sudan, Ethiopia, Kenya, the Democratic Republic of the Congo (DRC) and Central African Republic (CAR). Another 1.9 million remain internally displaced inside South Sudan
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This guide includes information relevant for tuberculosis (TB) program and laboratory managers, as well as Ministry of Health officials across disease programs interested in establishing integrated solutions for specimen referral. Though TB-focused in name, it offers integration-oriented assessment,... design, and monitoring guidance related to improving coordination and efficiency, and is relevant for other programs as well. Country case studies include viral load and early infant diagnosis (EID) in Uganda and EID in Ethiopia.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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For IST to be effective there is need for utilization of multiple techniques that will lead to transfer of competences (Bluestone et al. 2013). Learning settings should be selected to support relevant and realistic practice so as to increase the efficiency of IST. Alternatives to hotels such as trai...ning institutions and hospitals are viable options for reducing costs of IST as well as being appropriate venues (MOH 2012). There is documented evidence of involvement of academic institutions in providing health leadership capacity building through IST in other countries; for example, in Uganda, IST in leadership for doctors and nurses was done through a blended approach that included didactic and online sessions (Nakanjako et al. 2015). Adapting these concepts, FUNZOKenya piloted eight regional hubs, each serving a cluster of counties, which would train health workers for five years (2012-2016) on priority service delivery topics
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