Said-Ali Z.,University of Franche Comte |
Said-Ali Z.,Collaborating Center on Prevention and Treatment of Human Echinococcosis |
Grenouillet F.,University of Franche Comte |
Grenouillet F.,Collaborating Center on Prevention and Treatment of Human Echinococcosis |
And 18 more authors.
Parasitology | Year: 2013
SUMMARY Recent changes in the epidemiology of alveolar echinococcosis (AE) in Eurasia have led to increasing concerns about the risk of human AE and the need for a thorough evaluation of the epidemiological situation. The aim of this study was to explore the use of a National Register to detect complex distribution patterns on several scales. The data were human AE cases from the FrancEchino register, diagnosed in France from 1982 to 2011. We used the Kulldorff spatial scan analysis to detect non-random locations of cases. We proposed an exploratory method that was based on the successive detection of nested clusters inside each of the statistically significant larger clusters. This method revealed at least 4 levels of disease clusters during the study period. The spatial variations of cluster location over time were also shown. We conclude that National Human AE registers, although not exempted from epidemiological biases, are currently the best way to achieve an accurate representation of human AE distribution on various scales. Finally, we confirm the multi-scale clustered distribution of human AE, and we hypothesize that our study may be a reasonable starting point from which to conduct additional research and explore the processes that underlie such distributions. © 2013 Cambridge University Press.
PubMed | Collaborating Center on Prevention and Treatment of Human Echinococcosis
Type: Journal Article | Journal: Current drug safety | Year: 2015
Any ambiguity in texts used in the communication about vaccines can not only interfere with comprehension, but also generate safety and liability issues. Within a survey on the quality of written protocols for at-risk interventional procedures and sanitary crises, we analyzed documents relating to vaccination, and among them, the package-leaflet of an anti-H1N1 influenza vaccine, widely disseminated to the public in 2009-2010. Among the most common mistakes, we observed that 1) language was not always adjusted to the non-specialists level of knowledge; 2) chronology, logic, consistency, and homogeneity were often missing; 3) crucial pieces of information were disseminated all over the text, 4) use of the passive voice did not distinguish between instructions and information; 5) use of synonyms could be misleading and impair translation. We propose the use of Controlled language (CL) to improve the situation. By constraining lexicon, grammar and syntax, CL is a way to write documents that are clear, accurate and devoid of ambiguity. However, the set of rules necessary to write in CL is difficult to memorize. We thus developed authoring software (Rdacticiel Prolipsia) to make the creation of a CL by linguists and its use by health professionals easy and adapted to any domain. It may considerably improve the writing of vaccine package inserts/leaflets. It could be used to write information documents about vaccines and their safety, and operating procedures for professionals to prepare, store, and administer vaccines, decide upon proper indication of vaccines, and follow patients after vaccine injection.