Early warning models against bankruptcy risk for Central European and Latin American enterprises

2013 ◽  
Vol 31 ◽  
pp. 22-30 ◽  
Author(s):  
Tomasz Korol
Keyword(s):  
Latin American ◽  
Early Warning ◽  
Bankruptcy Risk ◽  
Central European

scholarly journals A dynamic runoff co-efficient to improve flash flood early warning in Europe: evaluation on the 2013 central European floods in Germany

2014 ◽  
Vol 22 (3) ◽  
pp. 410-418 ◽  
Author(s):  
D. Raynaud ◽  
J. Thielen ◽  
P. Salamon ◽  
P. Burek ◽  
S. Anquetin ◽  
...  
Keyword(s):  
Early Warning ◽  
Flash Flood ◽  
Central European

scholarly journals UNA PROPUESTA DE MODELO DE DIFUSIÓN DE ALERTA TEMPRANA PARA DESLIZAMIENTOS DE TIERRA EN EL PERÚ USANDO LA TELEVISIÓN DIGITAL TERRESTRE

2017 ◽  
Vol 25 (1) ◽  
pp. 53
Author(s):  
Jimmy Rosales H. ◽  
Fredy Campos A. ◽  
Víctor Córdova B. ◽  
Carmen Matos A. ◽  
José Corimanya M. ◽  
...  
Keyword(s):  
Latin American ◽  
Early Warning ◽  
Early Warning Systems ◽  
Digital Television ◽  
Warning Systems ◽  
Emergency Situations ◽  
Palabras Clave ◽  
Starting Point ◽  
Interactive Services ◽  
Digital Terrestrial Television

Con la implantación de la Televisión Digital Terrestre (TDT) en los países latinoamericanos y su capacidad para desarrollar servicios interactivos, se abre un nuevo camino para mejorar la conectividad existente mediante aplicaciones que permitan la comunicación ubicua. El Perú es un país que se encuentra en el cinturón de fuego del Pacífico y tiene constantemente muchos desastres naturales siendo propenso a los deslizamientos de tierra. Por ello, en el presente trabajo se pretende usar la TDT para ayudar a las personas en caso de un desastre natural, mediante una alerta temprana, en forma de mensaje que aparecerá en el monitor de un televisor en forma de ventana, informando acerca de la situación existente, esta información es importante ya que proporciona la comunicación de alerta en situaciones de emergencia y es vital para reducir el número de víctimas que se podría producir. El propósito de este trabajo es proponer un modelo de alerta temprana en el caso de ocurrencia de un deslizamiento (huayco), el cual podría ser aplicado en el futuro en algunas zonas propensas a estos eventos naturales. Este modelo propone su adecuación a la realidad Peruana y sirve como punto de partida para usar la TDT en el caso de otro tipo de emergencia similar. Palabras clave.- Sistemas de alerta temprana, Huayco, Deslizamiento de tierra, Televisión digital terrestre. ABSTRACTWith the implementation of Digital Terrestrial Television (DTT) in Latin American countries and their ability to develop interactive services, it opens a new way to enhance existing applications that allow connectivity using ubiquitous communication. Peru is a country located in the Ring of Fire and has many natural disasters constantly being prone to landslides. Therefore, in the present work it is to use DTT to help people in the event of a natural disaster through early warning, as a message that will appear on a TV monitor as a window informing about the situation, this information is important as it provides communication alert in emergency situations and is vital to reduce the number of victims could be produced. The purpose of this paper is to propose a model of early warning in case of occurrence of a landslide (landslide), which could be applied in the future in some of these natural events prone areas. This model proposes its relevance to the Peruvian reality and serves as a starting point for using DTT in the case of other similar emergency. Keywords.- Early warning systems, Huayco, Landslide, Terrestrial digital television.

scholarly journals Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review

2021 ◽  
Vol 15 (9) ◽  
pp. e0009686
Author(s):  
Laith Hussain-Alkhateeb ◽  
Tatiana Rivera Ramírez ◽  
Axel Kroeger ◽  
Ernesto Gozzer ◽  
Silvia Runge-Ranzinger
Keyword(s):  
Yellow Fever ◽  
Latin American ◽  
Scoping Review ◽  
Early Warning ◽  
Geographical Area ◽  
Early Warning Systems ◽  
Statistical Prediction ◽  
National Surveillance ◽  
Warning Systems ◽  
Almost All

Background Early warning systems (EWSs) are of increasing importance in the context of outbreak-prone diseases such as chikungunya, dengue, malaria, yellow fever, and Zika. A scoping review has been undertaken for all 5 diseases to summarize existing evidence of EWS tools in terms of their structural and statistical designs, feasibility of integration and implementation into national surveillance programs, and the users’ perspective of their applications. Methods Data were extracted from Cochrane Database of Systematic Reviews (CDSR), Google Scholar, Latin American and Caribbean Health Sciences Literature (LILACS), PubMed, Web of Science, and WHO Library Database (WHOLIS) databases until August 2019. Included were studies reporting on (a) experiences with existing EWS, including implemented tools; and (b) the development or implementation of EWS in a particular setting. No restrictions were applied regarding year of publication, language or geographical area. Findings Through the first screening, 11,710 documents for dengue, 2,757 for Zika, 2,706 for chikungunya, 24,611 for malaria, and 4,963 for yellow fever were identified. After applying the selection criteria, a total of 37 studies were included in this review. Key findings were the following: (1) a large number of studies showed the quality performance of their prediction models but except for dengue outbreaks, only few presented statistical prediction validity of EWS; (2) while entomological, epidemiological, and social media alarm indicators are potentially useful for outbreak warning, almost all studies focus primarily or exclusively on meteorological indicators, which tends to limit the prediction capacity; (3) no assessment of the integration of the EWS into a routine surveillance system could be found, and only few studies addressed the users’ perspective of the tool; (4) almost all EWS tools require highly skilled users with advanced statistics; and (5) spatial prediction remains a limitation with no tool currently able to map high transmission areas at small spatial level. Conclusions In view of the escalating infectious diseases as global threats, gaps and challenges are significantly present within the EWS applications. While some advanced EWS showed high prediction abilities, the scarcity of tool assessments in terms of integration into existing national surveillance systems as well as of the feasibility of transforming model outputs into local vector control or action plans tends to limit in most cases the support of countries in controlling disease outbreaks.

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