BMJ Global Health2020;5:e002914. doi:10.1136/bmjgh-2020-002914
The evidence produced in mathematical models plays a key role in shaping policy decisions in pandemics. A key question is therefore how well pandemic models relate to their implementation contexts. Drawing on the cases of Ebola and in...fluenza, we map how sociological and anthropological research contributes in the modelling of pandemics to consider lessons for COVID-19. We show how models detach from their implementation contexts through their connections with global narratives of pandemic response, and how sociological and anthropological research can help to locate models differently. This potentiates multiple models of pandemic response attuned to their emerging situations in an iterative and adaptive science. We propose a more open approach to the modelling of pandemics which envisages the model as an intervention of deliberation in situations of evolving uncertainty. This challenges the ‘business-as-usual’ of evidence-based approaches in global health by accentuating all science, within and beyond pandemics, as ‘emergent’ and ‘adaptive’.
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Antimicrobial resistance (AMR) is a threat to global health and development and it contributes to millions of deaths worldwide each year. Inappropriate use and overuse of antibiotics are driving an increase in AMR and have a detrimental impact on the effectiveness of these critical medicines. Throug...h the Global Action Plan on AMR, WHO is working to improve the surveillance of antimicrobial resistance and reduce inappropriate antibiotic consumption.
There is a recognized need for high-quality resources to improve antibiotic prescribing globally. To address this need, a pragmatic approach was taken by WHO to develop actionable guidance for empiric antibiotic use.
The WHO AWaRe (Access, Watch, Reserve) antibiotic book provides concise, evidence-based guidance on the choice of antibiotic, dose, route of administration, and duration of treatment for more than 30 of the most common clinical infections in children and adults in both primary health care and hospital settings. The information included in the book supports the recommendations for antibiotics listed on the WHO Model Lists of Essential Medicines and Essential Medicines Children and the WHO AWaRe classification of antibiotics.
The WHO AWaRe antibiotic book is accompanied by summary infographics for each infection for both adults and children that provide a quick-reference guide for health care workers at the point of care.
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Rabies has an enormous impact on both agriculture and conservation biology, but its greatest burden is undeniably on public health. As such, routine methods for rapid risk assessment after human exposures to rabies as well as applications for laboratory-based surveillance, production of biologicals ...and management of this infectious disease are critical. Given its mandate to improve human health and control disease among its Member States, WHO has led the production of this fifth edition of Laboratory techniques in rabies.
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The WHO operational handbook on tuberculosis: tuberculosis preventive treatment is the companion, implementation guide to the 2020 WHO guidelines on TB preventive treatment.[1] Just as these guidelines are the first to be released under the rubric of the WHO consolidated TB guidelines, this handbook... will be the first in a modular series of practical guides meant for the implementers of various aspects of the programmatic management TB.
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Front. Trop. Dis. , 09 May 2023 Sec. Neglected Tropical Diseases Volume 4 - 2023 | https://doi.org/10.3389/fitd.2023.1087003
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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Of the 50 antibiotics in the pipeline, 32 target WHO priority pathogens but the majority have only limited benefits when compared to existing antibiotics. Two of these are active against the multi-drug resistant Gram-negative bacteria, which are spreading rapidly and require urgent solutions.
Gr...am-negative bacteria, such as Klebsiella pneumoniae and Escherichia coli, can cause severe and often deadly infections that pose a particular threat for people with weak or not yet fully developed immune systems, including newborns, ageing populations, people undergoing surgery and cancer treatment.
The report highlights a worrying gap in activity against the highly resistant NDM-1 (New Delhi metallo-beta-lactamase 1), with only three antibiotics in the pipeline. NDM-1 makes bacteria resistant to a broad range of antibiotics, including those from the carbapenem family, which today are the last line of defence against antibiotic-resistant bacterial infections.
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Over the 20 years that followed, this unique partnership has invested more than US$53 billion, saving 44 million lives and reducing the combined death rate from the three diseases by more than half in the countries in which the Global Fund invests.
The main objective of this mission was to assess the level of preparedness of Guinea-Bissau in respect of the WHO consolidated checklist. The checklist helps countries to assess and test their level of readiness it is being used to identify concrete action to be taken and where countries will requir...e support from partners. It lists 10 key components and tasks for both countries and the international community that should be completed within 30, 60 and 90 days from the date of issue of the list, with minimal requirements for equipment, material and human resources.
The components include: overall coordination; rapid response teams; public awareness and community engagement; infection prevention and control; epidemiological and laboratory surveillance; contact tracing; points of entry; laboratory; social mobilization and risk communication; budget.
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Unofficial Translation
Approved by the Federal Government on October 20, 2016