scholarly journals Early Warning Systems (E-Wars) Design for Early Detection of Stroke Incidence

2018 ◽  
Vol 54 (2) ◽  
pp. 136
Author(s):  
Feby Erawantini ◽  
Rinda Nurul Karimah

Stroke is a neurological disease whose occurrence increases from year to year and causes disability and death worldwide. Stroke is caused by many factors or multicausal. This was a qualitative study conducted for one year with system design using prototype method. The prototype method began with the identification of needs, mapping, and then inference mechanism. Identification of needs was based on the literature review and discussion. The literature review from 15 sources consisting of journal articles, books and proceedings was done by comparing, contrasting, criticizing, synthesizing and summarizing. Stroke risk factor discussion were carried out with neurologists. The results of the review and literature discussion found identification of factors that cause stroke, which consisted of hypertension, high blood glucose, cholesterol, heart disease, behavioral factors, such as smoking behavior and alcoholism, stress and other causes. The risk factors of stroke were then mapped in the form of mobile application prototype through inference mechanism. The output in this study was early warning systems (E-WARS) prototype for early detection of stroke occurrence. The prototype results were expected to be used in operations into mobile applications that were beneficial to the public, in particular for self-control and personal risk factors for stroke. It was intended for early screening and early detection of the risk of stroke.

2020 ◽  
Vol 3 (2) ◽  
pp. 348-356
Author(s):  
Sutikno Sutikno ◽  
Sandu Siyoto ◽  
Byba Melda Suhita

Hospitals are required to always improve the quality of service provided to patients. These challenges have forced the hospital to develop its ability to manifest in various aspects of health care quality responsible. One of them by applying the assessment and early detection in patients kegawatan as well as the critical state of activation becomes very important. Quick and proper response to a nurse against the worsening conditions of patients giving a great impact to the quality of the quality of service provided. The purpose of this research is to analyze the implementation of Early Warning systems (EWSS) Score against AvLOS and trust patients in Inpatient installation at Jombang General Hospitals. The research design was analytic observational with a quantitative approach. Research variables i.e. implementation of EWSS as independent variables. AvLos and trust patients as the dependent variable. The population of this entire research nurses in Inpatient installation at Jombang General Hospitals as much as 135 nurses, patients and families of patients who are being treated in Inpatient installation at Jombang General Hospitals Jombang. Samples taken with the cluster random sampling technique as much as 101 respondents. Data is collected with instruments ceklist and processed in coding, editing, tabulating and scoring as well as tested with logistics regression test. Logistic regression results indicate that partially and simultaneously show that the value of p values < 0.05 so that there were the implementation of Early Warning systems (EWSS) Score against AvLOS and trust of the patient, and the simultaneous influence of 83.2%. The existence of implementation of EWSS in patients with good then early detection and response officers can be done in a proper and effective against the condition and the healing of patients and can shorten the day care patients, so that it can affect the confidence and trust family and patient in receiving health services in the hospital


2018 ◽  
pp. 407-413
Author(s):  
João Luiz Rebelo Moreira ◽  
Luís Ferreira Pires ◽  
Patricia Dockhorn Costa ◽  
Marten Van Sinderen

2021 ◽  
pp. 157-207
Author(s):  
James Waller

On January 9, 2020, a compromise agreement was reached that promised “a fair and balanced basis upon which to restore the institutions” of Northern Ireland’s system of governance. Governance refers, broadly, to the ways in which authority in a country is exercised. How are governments selected, monitored, and replaced? What is the capacity of the government to develop and implement sound policies? To what degree do the citizens respect the state and the institutions that govern them? Nearly all early warning systems for violent conflict include various traits of governance as risk factors. In contemporary Northern Ireland, where politics is now the weapon of choice, this chapter will consider five specific risk factors related to the practice of governance: (1) regime type, (2) state legitimacy deficit, (3) weakness of state structures, (4) identity-based polar factionalism, and (5) systematic state-led discrimination.


PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0217864 ◽  
Author(s):  
Aminu Umar ◽  
Charles A. Ameh ◽  
Francis Muriithi ◽  
Matthews Mathai

1995 ◽  
Vol 34 (05) ◽  
pp. 518-522 ◽  
Author(s):  
M. Bensadon ◽  
A. Strauss ◽  
R. Snacken

Abstract:Since the 1950s, national networks for the surveillance of influenza have been progressively implemented in several countries. New epidemiological arguments have triggered changes in order to increase the sensitivity of existent early warning systems and to strengthen the communications between European networks. The WHO project CARE Telematics, which collects clinical and virological data of nine national networks and sends useful information to public health administrations, is presented. From the results of the 1993-94 season, the benefits of the system are discussed. Though other telematics networks in this field already exist, it is the first time that virological data, absolutely essential for characterizing the type of an outbreak, are timely available by other countries. This argument will be decisive in case of occurrence of a new strain of virus (shift), such as the Spanish flu in 1918. Priorities are now to include other existing European surveillance networks.


10.1596/29269 ◽  
2018 ◽  
Author(s):  
Ademola Braimoh ◽  
Bernard Manyena ◽  
Grace Obuya ◽  
Francis Muraya

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