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Publication Years
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1093
2065
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Category
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Toolboxes
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SITUATION OVERVIEW as of 30 Jan.
- 688 000 refugees into Bangladesh (of which 585 000 in Kutupalong and Bulukhali camps)
- over 5000 clinically suspected Diphtheria cases and 37 deaths (reported in refugee camps)
The European Commission allocated an emergency aid package of €3.5 million on 19/03. The funding will be used to provide logistical support to reach affected people, emergency shelter, hygiene, sanitation, and health care. Out of the aid package, based on needs, €2 million will be provided in Mo
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zambique, €1 million in Malawi and €0.5 million in Zimbabwe.
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Accessed on 06.03.2022
Webiste
Air Pollution in Africa: Real-time Air Quality Index Visual Map
This report on global leishmaniasis surveillance follows those published in 2016–2023.2–6 Six indicators of leishmaniasis are publicly available from the Global Health Observatory (GHO).7 In addition to the GHO, country profiles with up to 30 indicators are published, with detailed data received
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from 45 Member States.
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With an estimated population of about 5 million and an annual growth rate of 8 per cent, Dar es Salaam, Tanzania, is Africa’s fastest growing city.1 Over 70 per cent of the people live in informal, unplanned settlements with inadequate infrastructure. In addition, heavy rainfalls twice a year
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result in signifi cant fl ood risks. The objectives in Dar es Salaam were to 1) obtain high quality and up to date exposure maps of aff ected communities and as a stretch goal 2) to create a hydrological model using elevation data. Both of these would form important elements to managing fl ood risks but neither had been previously available due to a lack of high quality digital imagery
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PLOS Neglected Tropical Diseases 18(4): e0012111. https://doi.org/10.1371/journal.pntd.0012111
BACKGROUND: Growing political attention to antimicrobial resistance (AMR) offers a rare opportunity for achieving meaningful action. Many governments have developed national AMR action plans, but most have not yet implemented policy interventions to reduce antimicrobial overuse. A systematic evidenc
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e map can support governments in making evidence-informed decisions about implementing programs to reduce AMR, by identifying, describing, and assessing the full range of evaluated government policy options to reduce antimicrobial use in humans.
METHODS AND FINDINGS: Seven databases were searched from inception to January 28, 2019, (MEDLINE, CINAHL, EMBASE, PAIS Index, Cochrane Central Register of Controlled Trials, Web of Science, and PubMed). We identified studies that (1) clearly described a government policy intervention aimed at reducing human antimicrobial use, and (2) applied a quantitative design to measure the impact. We found 69 unique evaluations of government policy interventions carried out across 4 of the 6 WHO regions. These evaluations included randomized controlled trials (n = 4), non-randomized controlled trials (n = 3), controlled before-and-after designs (n = 7), interrupted time series designs (n = 25), uncontrolled before-and-after designs (n = 18), descriptive designs (n = 10), and cohort designs (n = 2). From these we identified 17 unique policy options for governments to reduce the human use of antimicrobials. Many studies evaluated public awareness campaigns (n = 17) and antimicrobial guidelines (n = 13); however, others offered different policy options such as professional regulation, restricted reimbursement, pay for performance, and prescription requirements. Identifying these policies can inform the development of future policies and evaluations in different contexts and health systems. Limitations of our study include the possible omission of unpublished initiatives, and that policies not evaluated with respect to antimicrobial use have not been captured in this review.
CONCLUSIONS: To our knowledge this is the first study to provide policy makers with synthesized evidence on specific government policy interventions addressing AMR. In the future, governments should ensure that AMR policy interventions are evaluated using rigorous study designs and that study results are published.
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Human African trypanosomiasis (HAT) is a lethal neglected tropical disease (NTD) transmitted by the bite of infected tsetse flies. The disease is also known as “sleeping sickness”. During the 20th century it caused enormous suffering in the endemic areas in sub-Saharan Africa. HAT transmission l
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ast soared in the late 1990s, triggering a renewed, coordinated and very successful control effort. In this paper, we present achievements towards HAT elimination, with a focus on the WHO road map targets for 2020. In particular, reported cases continue to decline, from over 30,000 cases per year at the turn of the century to 663 cases in 2020. Despite the impact of the COVID-19 pandemic, HAT surveillance was largely sustained, and the network of health facilities able to diagnose and treat the disease further expanded. Looking to the future, the World Health Organization (WHO) set bold new targets for HAT in its 2021–2030 road map for NTDs, namely: the elimination of transmission of gambiense HAT, which occurs in western and central Africa, and the elimination as a public health problem of rhodesiense HAT, which is found in eastern and southern Africa. The strong commitment of national health authorities and the international community will be essential if these goals are to be achieved.
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The Call to Action on Protection from GBV in Emergencies, formally launched in 2013 by the United Kingdom and Sweden, aims to fundamentally transform the way GBV is addressed in humanitarian operations via the collective action of numerous partners, each bringing our various strengths and capacities
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to the table. Our goal is to drive change and foster accountability within the humanitarian sphere. The commitment to act and to hold ourselves accountable for action is what binds us together under the Call to Action.
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This paper is the first quantitative analysis of how the impact of extreme weather events, such as floods and cyclones, affects the malaria burden on the continent, as well as the implications of long-onset climate change. This research involved developing a climate model to predict changes in inten
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sity, duration, and frequency of floods and cyclones across the continent
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