10 research outputs found

    Epilepsie et permis de conduire au Mali : connaissances, attitudes et pratiques des moniteurs d’auto-Ă©cole et des candidats au permis de conduire

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    Introduction: L’un des sujets les plus controversĂ©s dans le domaine de l’épilepsie est la problĂ©matique de la conduite chez l’épileptique.Objectif: Nous avons initiĂ© une Ă©tude, en collaboration avec l’Agence Nationale de la SĂ©curitĂ© RoutiĂšre au Mali (ANASER), ayant pour but de faire l’état des lieux sur les connaissances, attitudes et pratiques des conducteurs, moniteurs et inspecteurs d’auto-Ă©coles en matiĂšre d’épilepsie.Methode: Il s’agissait d’une Ă©tude longitudinale, prospective, descriptive et analytique qui s’est dĂ©roulĂ©e de juin 2009 à juin 2010. Elle a portĂ© sur 31 auto-Ă©coles du district de Bamako. 568 personnes ont Ă©tĂ© interrogĂ©es (488 candidats au permis de conduire, 70 moniteurs d’auto-Ă©cole et 10 inspecteurs).Resultats: PrĂšs de 60 % des personnes interrogĂ©es accordaient une origine surnaturelle Ă  l’épilepsie ; plus de 85 % indiquaient que l’épilepsie Ă©tait incompatible avec la conduite automobile. Plus de la moitiĂ© ignorait l’existence d’une rĂ©glementation. PrĂšs de 70 % pensaient que l’épilepsie Ă©tait pourvoyeuse d’accident de la voie publique.Conclusion: A l’instar de nos prĂ©cĂ©dentes Ă©tudes communautaires au Mali, ce travail a permis de mettre l’accent, d’une part, sur l’importance des connaissances erronĂ©es sur l’épilepsie et, d’autre part, sur la nĂ©cessité d’actualiser la rĂ©glementation en matiĂšre de conduite de vĂ©hicules motorisĂ©s pour ces patients.Mots clĂ©s: Attitudes, Épilepsie, Mali, Permis de conduire, Conduite automobileEnglish Title: Epilepsy and driving licence in Mali : knowledge, attitudes and practices of driving schools monitors and the candidates for the licenceEnglish AbstractBackground: One of the most controversial topics in the field of epilepsy remains the issue of driving license for epileptic patients.Purpose: We initiated a study in collaboration with ANASER (National Agency for Road Safety in Mali) with the goal, on one hand, of assessing the knowledge, attitudes and practices of drivers and driving school authorities on epilepsy and, on the other hand, to analyze the current regulations on issuance of license to epileptic patients.Methods: Il s’agissait d’une Ă©tude longitudinale, prospective, descriptive et analytique qui s’est dĂ©roulĂ©e de juin 2009 à juin 2010. We interviewed 568 sujects, including 488 candidates for driver’s license, 70 driving school monitors and 10 inspectors.Results: About 60% gave a supernatural origin of the disease, and more than 85% believed that epilepsy was incompatible with driving. More than half were unaware of regulations. Approximately, 70% of respondents believed that epilepsy was a contributory factor to road accident.Conclusion: As in our previous community studies in Mali, this study emphasizes the importance of misconceptions about epilepsy, and has shown the need to update the regulations regarding the driving of motorized vehicles for these patients.Keywords: Epilepsy, Attitudes, Driving , Driving License, Mal

    Lessons learned for surveillance system strengthening through capacity building and partnership engagement in post-Ebola Guinea, 2015–2019

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    The 2014–2016 Ebola outbreak in Guinea revealed systematic weaknesses in the existing disease surveillance system, which contributed to delayed detection, underreporting of cases, widespread transmission in Guinea and cross-border transmission to neighboring Sierra Leone and Liberia, leading to the largest Ebola epidemic ever recorded. Efforts to understand the epidemic's scale and distribution were hindered by problems with data completeness, accuracy, and reliability. In 2017, recognizing the importance and usefulness of surveillance data in making evidence-based decisions for the control of epidemic-prone diseases, the Guinean Ministry of Health (MoH) included surveillance strengthening as a priority activity in their post-Ebola transition plan and requested the support of partners to attain its objectives. The U.S. Centers for Disease Control and Prevention (US CDC) and four of its implementing partners—International Medical Corps, the International Organization for Migration, RTI International, and the World Health Organization—worked in collaboration with the Government of Guinea to strengthen the country's surveillance capacity, in alignment with the Global Health Security Agenda and International Health Regulations 2005 objectives for surveillance and reporting. This paper describes the main surveillance activities supported by US CDC and its partners between 2015 and 2019 and provides information on the strategies used and the impact of activities. It also discusses lessons learned for building sustainable capacity and infrastructure for disease surveillance and reporting in similar resource-limited settings

    Ebola virus disease in West Africa — the first 9 Months of the epidemic and forward projections

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    BACKGROUND On March 23, 2014, the World Health Organization (WHO) was notified of an outbreak of Ebola virus disease (EVD) in Guinea. On August 8, the WHO declared the epidemic to be a "public health emergency of international concern." METHODS By September 14, 2014, a total of 4507 probable and confirmed cases, including 2296 deaths from EVD (Zaire species) had been reported from five countries in West Africa - Guinea, Liberia, Nigeria, Senegal, and Sierra Leone. We analyzed a detailed subset of data on 3343 confirmed and 667 probable Ebola cases collected in Guinea, Liberia, Nigeria, and Sierra Leone as of September 14. RESULTS The majority of patients are 15 to 44 years of age (49.9% male), and we estimate that the case fatality rate is 70.8% (95% confidence interval [CI], 69 to 73) among persons with known clinical outcome of infection. The course of infection, including signs and symptoms, incubation period (11.4 days), and serial interval (15.3 days), is similar to that reported in previous outbreaks of EVD. On the basis of the initial periods of exponential growth, the estimated basic reproduction numbers (R-0) are 1.71 (95% CI, 1.44 to 2.01) for Guinea, 1.83 (95% CI, 1.72 to 1.94) for Liberia, and 2.02 (95% CI, 1.79 to 2.26) for Sierra Leone. The estimated current reproduction numbers (R) are 1.81 (95% CI, 1.60 to 2.03) for Guinea, 1.51 (95% CI, 1.41 to 1.60) for Liberia, and 1.38 (95% CI, 1.27 to 1.51) for Sierra Leone; the corresponding doubling times are 15.7 days (95% CI, 12.9 to 20.3) for Guinea, 23.6 days (95% CI, 20.2 to 28.2) for Liberia, and 30.2 days (95% CI, 23.6 to 42.3) for Sierra Leone. Assuming no change in the control measures for this epidemic, by November 2, 2014, the cumulative reported numbers of confirmed and probable cases are predicted to be 5740 in Guinea, 9890 in Liberia, and 5000 in Sierra Leone, exceeding 20,000 in total. CONCLUSIONS These data indicate that without drastic improvements in control measures, the numbers of cases of and deaths from EVD are expected to continue increasing from hundreds to thousands per week in the coming months

    The global burden of trichiasis in 2016.

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    BACKGROUND: Trichiasis is present when one or more eyelashes touches the eye. Uncorrected, it can cause blindness. Accurate estimates of numbers affected, and their geographical distribution, help guide resource allocation. METHODS: We obtained district-level trichiasis prevalence estimates in adults for 44 endemic and previously-endemic countries. We used (1) the most recent data for a district, if more than one estimate was available; (2) age- and sex-standardized corrections of historic estimates, where raw data were available; (3) historic estimates adjusted using a mean adjustment factor for districts where raw data were unavailable; and (4) expert assessment of available data for districts for which no prevalence estimates were available. FINDINGS: Internally age- and sex-standardized data represented 1,355 districts and contributed 662 thousand cases (95% confidence interval [CI] 324 thousand-1.1 million) to the global total. Age- and sex-standardized district-level prevalence estimates differed from raw estimates by a mean factor of 0.45 (range 0.03-2.28). Previously non- stratified estimates for 398 districts, adjusted by ×0.45, contributed a further 411 thousand cases (95% CI 283-557 thousand). Eight countries retained previous estimates, contributing 848 thousand cases (95% CI 225 thousand-1.7 million). New expert assessments in 14 countries contributed 862 thousand cases (95% CI 228 thousand-1.7 million). The global trichiasis burden in 2016 was 2.8 million cases (95% CI 1.1-5.2 million). INTERPRETATION: The 2016 estimate is lower than previous estimates, probably due to more and better data; scale-up of trichiasis management services; and reductions in incidence due to lower active trachoma prevalence

    Exposure Patterns Driving Ebola Transmission in West Africa:A Retrospective Observational Study

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    BackgroundThe ongoing West African Ebola epidemic began in December 2013 in Guinea, probably from a single zoonotic introduction. As a result of ineffective initial control efforts, an Ebola outbreak of unprecedented scale emerged. As of 4 May 2015, it had resulted in more than 19,000 probable and confirmed Ebola cases, mainly in Guinea (3,529), Liberia (5,343), and Sierra Leone (10,746). Here, we present analyses of data collected during the outbreak identifying drivers of transmission and highlighting areas where control could be improved.Methods and findingsOver 19,000 confirmed and probable Ebola cases were reported in West Africa by 4 May 2015. Individuals with confirmed or probable Ebola ("cases") were asked if they had exposure to other potential Ebola cases ("potential source contacts") in a funeral or non-funeral context prior to becoming ill. We performed retrospective analyses of a case line-list, collated from national databases of case investigation forms that have been reported to WHO. These analyses were initially performed to assist WHO's response during the epidemic, and have been updated for publication. We analysed data from 3,529 cases in Guinea, 5,343 in Liberia, and 10,746 in Sierra Leone; exposures were reported by 33% of cases. The proportion of cases reporting a funeral exposure decreased over time. We found a positive correlation (r = 0.35, p ConclusionsAchieving elimination of Ebola is challenging, partly because of super-spreading. Safe funeral practices and fast hospitalisation contributed to the containment of this Ebola epidemic. Continued real-time data capture, reporting, and analysis are vital to track transmission patterns, inform resource deployment, and thus hasten and maintain elimination of the virus from the human population

    Temporal and spatial analysis of the 2014-2015 Ebola virus outbreak in West Africa

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    West Africa is currently witnessing the most extensive Ebola virus (EBOV) outbreak so far recorded. Until now, there have been 27,013 reported cases and 11,134 deaths. The origin of the virus is thought to have been a zoonotic transmission from a bat to a two-year-old boy in December 2013 (ref. 2). From this index case the virus was spread by human-to-human contact throughout Guinea, Sierra Leone and Liberia. However, the origin of the particular virus in each country and time of transmission is not known and currently relies on epidemiological analysis, which may be unreliable owing to the difficulties of obtaining patient information. Here we trace the genetic evolution of EBOV in the current outbreak that has resulted in multiple lineages. Deep sequencing of 179 patient samples processed by the European Mobile Laboratory, the first diagnostics unit to be deployed to the epicentre of the outbreak in Guinea, reveals an epidemiological and evolutionary history of the epidemic from March 2014 to January 2015. Analysis of EBOV genome evolution has also benefited from a similar sequencing effort of patient samples from Sierra Leone. Our results confirm that the EBOV from Guinea moved into Sierra Leone, most likely in April or early May. The viruses of the Guinea/Sierra Leone lineage mixed around June/July 2014. Viral sequences covering August, September and October 2014 indicate that this lineage evolved independently within Guinea. These data can be used in conjunction with epidemiological information to test retrospectively the effectiveness of control measures, and provides an unprecedented window into the evolution of an ongoing viral haemorrhagic fever outbreak.status: publishe
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