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National Comprehensive Covid19 Management Handbook First Edition 2020
Ministry of Health, Federal Democratic Republic of Ethiopia
Ministry of Health, Federal Democratic Republic of Ethiopia
(2020)
C1
Cognizant of the need for standardization of the response for COVID-19, the Federal Ministry of Health prepared this national guideline in an effort to contain the epidemic before it overwhelms the health care facilities. This national guideline is expected to guide policy makers and h
...
ealth professionals at all level. A standardized approaches to will assist effective and efficient utilization of the limited resource of the country, minimizes dilemma and confusion on case management. To this effect, the FMOH has established National COVID-19 advisory committee. The committee members are from different specialties with very good experiences in disaster management and prevention and treatment of infectious disease epidemics. The input from the committee is used to make decisions at the national level about theepidemics in the weeks and months to come. The FMOH would like to acknowledge the members of the national advisory committee for their commitment and unreserved effort in finalizing the task in a very short period of time and advising the Ministry on various issues related to the epidemics at this critical time.
more
Au cours de la dernière décennie, les données de séquençage génétique des agents pathogènes ont gagné en importance et contribuent désormais de façon déterminante à la détection et à la maîtrise des flambées de maladies infectieuses, en facilitant la mise au point de
...
produits de diagnostic, de médicaments et de vaccins et en guidant lesactivités de riposte aux flambées(1-11). L’émergence du nouveau coronavirus, par la suite désigné « coronavirus 2 du syndrome respiratoire aigu sévère » (SARS-CoV-2), a encore accentué l’importance des données de séquençage génétique.
more
WHO practical guidelines. 2nd edition
Nutrition Guidelines
recommended
Fiche technqiue Ebola 4
Epidemic diarrhoeal disease preparedness and response. training and practice. Facilitator's guide
World Health Organization
(2014)
Accessed November 2014
Epidemic diarrhoeal disease preparedness and response. Training and practice. Participant's manual
recommended
Accessed November 2014
Les définitions de cas provisoires ont été élaborées dans un but de standardisation mondiale de la classification et de la notification des cas de maladie à virus Zika. L’OMS reverra régulièrement ces définitions de cas provisoires, au fur et à mesure que de nouvelles informations lui pa
...
rviendront.
more
Versão 2. Última atualização 10 Março 2016
O protocolo contém orientações sobre definição de casos suspeitos, como identificação de alterações do Sistema Nervoso Central (SNC) durante a gestação, critérios para confirmação ou descarte de casos, sistema de notificação e investig
...
ação laboratorial. Além disso, há orientações sobre como deve ser feita a investigação epidemiológica dos casos suspeitos e sobre o monitoramento e análise de dados.
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Saudi Journal of Biological Sciences. http://dx.doi.org/10.1016/j.sjbs.2016.03.006
Open Access
Manual para la primera fase de implementación
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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