Actualities on prediction and prevention of preeclampsia - literature review

Gineco eu ◽  
2017 ◽  
Vol 13 (4) ◽  
pp. 156-160
Author(s):  
Turcan N.
Author(s):  
Anirudh V. Mutalik

With high mortality and panic association, policy- makers face the difficult task of making appropriate and timely decisions to mitigate the serious adverse effects over a short period of time during H1N1 influenza outbreak. Mathematical models predict the number of the cases and thus provide an insight for preparedness during outbreak. The objective was to identify various mathematical models used in prediction of H1N1 outbreaks till date and to compare the usefulness of these models in providing magnitude of H1N1 outbreaks. Hence a secondary data analysis of literature review was done. The literature search was conducted using PubMed and Google scholar, restricting it to articles published until May 2015. The key parameters were set for selection of articles and hence a total of 31 articles has been reviewed. Of each article included in the review, the following data was recorded: year of the study, year of pandemic referring to, country, described mathematical model with results of study The SEIR model is most commonly used mathematical model. SIER model takes all factors in a epidemic phase of an individual i.e. Susceptible – Exposed – Infective – Recovered. While studies which utilised SIER model with the combination of other models found the other factors which influence the occurrence of H1N1 outbreaks and also helped in prediction and prevention of number of cases during outbreak. The SEIR models in combination utilised secondary models such as social networking, global network and total layered containment. The literature review suggests that probable use of mathematical model along with some secondary models will help in better prediction and prevention of number of cases during outbreak. 


2013 ◽  
Vol 20 (3) ◽  
pp. 91-106 ◽  
Author(s):  
Rachel Pizarek ◽  
Valeriy Shafiro ◽  
Patricia McCarthy

Computerized auditory training (CAT) is a convenient, low-cost approach to improving communication of individuals with hearing loss or other communicative disorders. A number of CAT programs are being marketed to patients and audiologists. The present literature review is an examination of evidence for the effectiveness of CAT in improving speech perception in adults with hearing impairments. Six current CAT programs, used in 9 published studies, were reviewed. In all 9 studies, some benefit of CAT for speech perception was demonstrated. Although these results are encouraging, the overall quality of available evidence remains low, and many programs currently on the market have not yet been evaluated. Thus, caution is needed when selecting CAT programs for specific patients. It is hoped that future researchers will (a) examine a greater number of CAT programs using more rigorous experimental designs, (b) determine which program features and training regimens are most effective, and (c) indicate which patients may benefit from CAT the most.


2012 ◽  
Vol 13 (3) ◽  
pp. 79-86 ◽  
Author(s):  
Julie Haarbauer-Krupa

AbstractPurpose: The purpose of this article is to inform speech-language pathologists in the schools about issues related to the care of children with traumatic brain injury.Method: Literature review of characteristics, outcomes and issues related to the needs serving children.Results: Due to acquired changes in cognition, children with traumatic brain injury have unique needs in a school setting.Conclusions: Speech-Language Pathologists in the school can take a leadership role with taking care of children after a traumatic brain injury and coordination of medical and educational information.


1997 ◽  
Vol 2 (6) ◽  
pp. 7-7
Author(s):  
Robert Haralson
Keyword(s):  

1999 ◽  
Vol 4 (1) ◽  
pp. 9-9
Author(s):  
James B. Talmage
Keyword(s):  

1997 ◽  
Vol 2 (5) ◽  
pp. 7-7
Author(s):  
James B. Talmage
Keyword(s):  

1999 ◽  
Vol 4 (2) ◽  
pp. 11-11
Author(s):  
James B. Talmage
Keyword(s):  

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