Identification of Associations between Clinical Signs and Hosts to Monitor the Web for Detection of Animal Disease Outbreaks

2016 ◽  
pp. 565-586
Author(s):  
Elena Arsevska ◽  
Mathieu Roche ◽  
Pascal Hendrikx ◽  
David Chavernac ◽  
Sylvain Falala ◽  
...  
Keyword(s):  
Early Detection ◽  
Web Mining ◽  
Clinical Signs ◽  
Disease Outbreaks ◽  
Expert Elicitation ◽  
Comprehensive Method ◽  
Statistical Measures ◽  
Animal Pathogens ◽  
The Web ◽  
Selection Of

In a context of intensification of international trade and travels, the transboundary spread of emerging human or animal pathogens represents a growing concern. One of the missions of the national veterinary services is to implement international epidemiological intelligence for a timely and accurate detection of emerging animal infectious diseases (EAID) worldwide, and take early actions to prevent their introduction on the national territory. For this purpose, an efficient use of the information published on the web is essential. The authors present a comprehensive method for identification of relevant associations between terms describing clinical signs and hosts to build queries to monitor the web for early detection of EAID. Using text and web mining approaches, they present statistical measures for automatic selection of relevant associations between terms. In addition, expert elicitation is used to highlight the most relevant terms and associations among those automatically selected. The authors assessed the performance of the combination of the automatic approach and expert elicitation to monitor the web for a list of selected animal pathogens.

Identification of Associations between Clinical Signs and Hosts to Monitor the Web for Detection of Animal Disease Outbreaks

2016 ◽  
Vol 7 (3) ◽  
pp. 1-20 ◽  
Author(s):  
Elena Arsevska ◽  
Mathieu Roche ◽  
Pascal Hendrikx ◽  
David Chavernac ◽  
Sylvain Falala ◽  
...  
Keyword(s):  
Web Mining ◽  
Clinical Signs ◽  
Disease Outbreaks ◽  
Expert Elicitation ◽  
Animal Disease ◽  
Comprehensive Method ◽  
Statistical Measures ◽  
Animal Pathogens ◽  
The Web ◽  
Selection Of

In a context of intensification of international trade and travels, the transboundary spread of emerging human or animal pathogens represents a growing concern. One of the missions of the national veterinary services is to implement international epidemiological intelligence for a timely and accurate detection of emerging animal infectious diseases (EAID) worldwide, and take early actions to prevent their introduction on the national territory. For this purpose, an efficient use of the information published on the web is essential. The authors present a comprehensive method for identification of relevant associations between terms describing clinical signs and hosts to build queries to monitor the web for early detection of EAID. Using text and web mining approaches, they present statistical measures for automatic selection of relevant associations between terms. In addition, expert elicitation is used to highlight the most relevant terms and associations among those automatically selected. The authors assessed the performance of the combination of the automatic approach and expert elicitation to monitor the web for a list of selected animal pathogens.

THE USE OF WEB APPLICATIONS FOR THE SELECTION OF CROP GROWING TECHNOLOGIES

2018 ◽  
Vol 48 (3) ◽  
pp. 84-90 ◽  
Author(s):  
E. A. Lapchenko ◽  
S. P. Isakova ◽  
T. N. Bobrova ◽  
L. A. Kolpakova
Keyword(s):  
Web Application ◽  
Crop Production ◽  
Web Applications ◽  
Weather Forecast ◽  
Technical Institute ◽  
Software Complex ◽  
Agricultural Enterprise ◽  
Weather Situation ◽  
The Web ◽  
Selection Of

It is shown that the application of the Internet technologies is relevant in the selection of crop production technologies and the formation of a rational composition of the machine-and-tractor fl eet taking into account the conditions and production resources of a particular agricultural enterprise. The work gives a short description of the web applications, namely “ExactFarming”, “Agrivi” and “AgCommand” that provide a possibility to select technologies and technical means of soil treatment, and their functions. “ExactFarming” allows to collect and store information about temperature, precipitation and weather forecast in certain areas, keep records of information about crops and make technological maps using expert templates. “Agrivi” allows to store and provide access to weather information in the fi elds with certain crops. It has algorithms to detect and make warnings about risks related to diseases and pests, as well as provides economic calculations of crop profi tability and crop planning. “AgCommand” allows to track the position of machinery and equipment in the fi elds and provides data on the weather situation in order to plan the use of agricultural machinery in the fi elds. The web applications presented hereabove do not show relation between the technologies applied and agro-climatic features of the farm location zone. They do not take into account the phytosanitary conditions in the previous years, or the relief and contour of the fi elds while drawing up technological maps or selecting the machine-and-tractor fl eet. Siberian Physical-Technical Institute of Agrarian Problems of Siberian Federal Scientifi c Center of AgroBioTechnologies of the Russian Academy of Sciences developed a software complex PIKAT for supporting machine agrotechnologies for production of spring wheat grain at an agricultural enterprise, on the basis of which there is a plan to develop a web application that will consider all the main factors limiting the yield of cultivated crops.

Predicting potential and actual distribution of sudden oak death in Oregon: Prioritizing landscape contexts for early detection and eradication of disease outbreaks

2010 ◽  
Vol 260 (6) ◽  
pp. 1026-1035 ◽  
Author(s):  
Tomáš Václavík ◽  
Alan Kanaskie ◽  
Everett M. Hansen ◽  
Janet L. Ohmann ◽  
Ross K. Meentemeyer
Keyword(s):  
Early Detection ◽  
Disease Outbreaks ◽  
Sudden Oak Death ◽  
Actual Distribution

scholarly journals Pathogenicity of an African swine fever virus strain isolated in Vietnam and alternative diagnostic specimens for early detection of viral infection

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Hu Suk Lee ◽  
Vuong Nghia Bui ◽  
Duy Tung Dao ◽  
Ngoc Anh Bui ◽  
Thanh Duy Le ◽  
...  
Keyword(s):  
Early Detection ◽  
Oral Fluid ◽  
African Swine Fever Virus ◽  
Fluid Collection ◽  
Clinical Signs ◽  
African Swine Fever ◽  
Post Inoculation ◽  
Tissue Samples ◽  
Viral Loads ◽  
Specimen Collection

Abstract Background African swine fever (ASF), caused by the ASF virus (ASFV), was first reported in Vietnam in 2019 and spread rapidly thereafter. Better insights into ASFV characteristics and early detection by surveillance could help control its spread. However, the pathogenicity and methods for early detection of ASFV isolates from Vietnam have not been established. Therefore, we investigated the pathogenicity of ASFV and explored alternative sampling methods for early detection. Results Ten pigs were intramuscularly inoculated with an ASFV strain from Vietnam (titer, 103.5 HAD50/mL), and their temperature, clinical signs, and virus excretion patterns were recorded. In addition, herd and environmental samples were collected daily. The pigs died 5–8 days-post-inoculation (dpi), and the incubation period was 3.7 ± 0.5 dpi. ASFV genome was first detected in the blood (2.2 ± 0.8) and then in rectal (3.1 ± 0.7), nasal (3.2 ± 0.4), and oral (3.6 ± 0.7 dpi) swab samples. ASFV was detected in oral fluid samples collected using a chewed rope from 3 dpi. The liver showed the highest viral loads, and ear tissue also exhibited high viral loads among 11 tissues obtained from dead pigs. Overall, ASFV from Vietnam was classified as peracute to acute form. The rope-based oral fluid collection method could be useful for early ASFV detection and allows successful ASF surveillance in large pig farms. Furthermore, ear tissue samples might be a simple alternative specimen for diagnosing ASF infection in dead pigs. Conclusions Our data provide valuable insights into the characteristics of a typical ASFV strain isolated in Vietnam and suggest an alternative, non-invasive specimen collection strategy for early detection.

scholarly journals Integrative review of the nursing interventions used for the early detection of cervical uterine cancer

2011 ◽  
Vol 19 (2) ◽  
pp. 437-444 ◽  
Author(s):  
Camila Teixeira Moreira Vasconcelos ◽  
Marta Maria Coelho Damasceno ◽  
Francisca Elisângela Teixeira Lima ◽  
Ana Karina Bezerra Pinheiro
Keyword(s):  
Early Detection ◽  
Uterine Cancer ◽  
Nursing Interventions ◽  
Evidence Based ◽  
National Program ◽  
Cognitive Interventions ◽  
Social Interventions ◽  
Positive Effects ◽  
Effective Result ◽  
Selection Of

In a national program to combat cervical uterine cancer (CUC) four basic elements should exist: primary prevention, early detection, diagnosis/treatment and palliative care. Of these, early detection is the most effective modality. One of the purposes of Evidence-Based Practice (EBP) is to encourage the use of research results with the assistance provided, reinforcing the importance of research for clinical practice. This study aimed to evaluate the evidence available in the literature regarding effective nursing interventions for the early detection of CUC. The selection of articles was performed in the databases: Scopus, PubMed, CINAHL, Lilacs and Cochrane. The sample of this review consisted of seven articles, with evidence levels 1, 2 or 3. The behavioral, cognitive and social interventions, showed positive effects in the early detection of CUC, especially the interactive cognitive interventions. It is suggested, when appropriate, to use a combination of interventions in order to obtain a more effective result.

scholarly journals Appendicitis in puerpeium: Case report

2011 ◽  
Vol 58 (4) ◽  
pp. 111-112 ◽  
Author(s):  
Milica Berisavac ◽  
Biljana Kastratovic-Kotlica ◽  
V. Tosic ◽  
N. Markovic ◽  
S. Ljustina ◽  
...  
Keyword(s):  
Case Report ◽  
Surgical Treatment ◽  
Early Detection ◽  
Acute Appendicitis ◽  
Abdominal Wall ◽  
Clinical Signs ◽  
Signs And Symptoms ◽  
Laboratory Infection ◽  
Infection Parameters ◽  
Clinical Signs And Symptoms

Acute appendicitis in puerperium is often diagnosed too late, because clinical signs can be unrelaible. Abdominal wall rigidity is rarely noticed in puerpeium because of weak abdominal wall muscles, laboratory parameters are not enough relaible and atipycal appendix presentation makes difficulties in diagnosis3,4. Knowing clinical signs and symptoms of appendicitis, possible complications and their early detection, make a chance for a good surgical outcome. Measuring of axillar and rectal temperature can take confusion in, and prolong time until surgical treatment. Leucocytosis in puerperium is not valid for diagnosis. We report a case of patient in puerperium with high laboratory infection parameters. Diagnosis of appendicitis is made based on clinical signs and symptoms, that is proved intraoperatively and histologicaly. Appendectomy without perforation carries less risks for mother and fetus.

scholarly journals Exploring the Potentialities of Automatic Extraction of University Webometric Information

2020 ◽  
Vol 5 (4) ◽  
pp. 43-55
Author(s):  
Gianpiero Bianchi ◽  
Renato Bruni ◽  
Cinzia Daraio ◽  
Antonio Laureti Palma ◽  
Giulio Perani ◽  
...  
Keyword(s):  
Text Mining ◽  
Web Mining ◽  
Knowledge Extraction ◽  
Automatic Extraction ◽  
Mining Operations ◽  
Automatic Data ◽  
Link Type ◽  
Web Scraping ◽  
University Systems ◽  
The Web

AbstractPurposeThe main objective of this work is to show the potentialities of recently developed approaches for automatic knowledge extraction directly from the universities’ websites. The information automatically extracted can be potentially updated with a frequency higher than once per year, and be safe from manipulations or misinterpretations. Moreover, this approach allows us flexibility in collecting indicators about the efficiency of universities’ websites and their effectiveness in disseminating key contents. These new indicators can complement traditional indicators of scientific research (e.g. number of articles and number of citations) and teaching (e.g. number of students and graduates) by introducing further dimensions to allow new insights for “profiling” the analyzed universities.Design/methodology/approachWebometrics relies on web mining methods and techniques to perform quantitative analyses of the web. This study implements an advanced application of the webometric approach, exploiting all the three categories of web mining: web content mining; web structure mining; web usage mining. The information to compute our indicators has been extracted from the universities’ websites by using web scraping and text mining techniques. The scraped information has been stored in a NoSQL DB according to a semi-structured form to allow for retrieving information efficiently by text mining techniques. This provides increased flexibility in the design of new indicators, opening the door to new types of analyses. Some data have also been collected by means of batch interrogations of search engines (Bing, www.bing.com) or from a leading provider of Web analytics (SimilarWeb, http://www.similarweb.com). The information extracted from the Web has been combined with the University structural information taken from the European Tertiary Education Register (https://eter.joanneum.at/#/home), a database collecting information on Higher Education Institutions (HEIs) at European level. All the above was used to perform a clusterization of 79 Italian universities based on structural and digital indicators.FindingsThe main findings of this study concern the evaluation of the potential in digitalization of universities, in particular by presenting techniques for the automatic extraction of information from the web to build indicators of quality and impact of universities’ websites. These indicators can complement traditional indicators and can be used to identify groups of universities with common features using clustering techniques working with the above indicators.Research limitationsThe results reported in this study refers to Italian universities only, but the approach could be extended to other university systems abroad.Practical implicationsThe approach proposed in this study and its illustration on Italian universities show the usefulness of recently introduced automatic data extraction and web scraping approaches and its practical relevance for characterizing and profiling the activities of universities on the basis of their websites. The approach could be applied to other university systems.Originality/valueThis work applies for the first time to university websites some recently introduced techniques for automatic knowledge extraction based on web scraping, optical character recognition and nontrivial text mining operations (Bruni & Bianchi, 2020).

scholarly journals Manajemen Deteksi Dini Faktor Resiko Penyakit Tidak Menular (PTM)

2020 ◽  
Vol 3 (2) ◽  
pp. 48
Author(s):  
Isnaeni Rofiqoch
Keyword(s):  
Blood Pressure ◽  
Early Detection ◽  
Community Service ◽  
Blood Pressure Measurement ◽  
Clinical Signs ◽  
The Elderly ◽  
Communicable Diseases ◽  
Double Burden ◽  
Non Communicable Diseases ◽  
Average Value

Non-Communicable Diseases (NCD) is one of the causes of death in the world. Indonesia is a developing country that is facing a double burden of diseases, namely infectious diseases and non-communicable diseases. NCD can appear without symptoms and show no clinical signs, so many people are not aware of the dangers of NCD disease. The purpose of this comunity service is to provide counseling about NCD and measure blood pressure in an effort to detect NCD Early.This community service uses counseling as a method to increases partner knowledge in early detection of NCD. The average of partners knowledge increase by 42.6%. This is calculated by comparing the pre test average value of 5.70 and the post test average value of 8.20. Implementation of community service can increase the knowledge of the elderly posyandu group of Sokaraja Kulon Village so that the participants have the desire to prevent NCD and find out blood pressure from blood pressure measurement results in order to reduce the causes of non-communicable diseases (NCD) and have the intention to inform knowledge about Non-Communicable Diseases (NCD) to Family, Relatives and Communities.Keywords :Early Detection,Non-Communicable Diseases

scholarly journals User’s Behaviour inside a Digital Library

Data Mining ◽  
2013 ◽  
pp. 1312-1319
Author(s):  
Marco Scarnò
Keyword(s):  
Data Mining ◽  
Digital Library ◽  
Web Mining ◽  
Dynamic Change ◽  
Web Server ◽  
Scientific Field ◽  
Data Mining Techniques ◽  
Log File ◽  
The Web ◽  
The Way

CASPUR allows many academic Italian institutions located in the Centre-South of Italy to access more than 7 million articles through a digital library platform. The behaviour of its users were analyzed by considering their “traces”, which are stored in the web server log file. Using several web mining and data mining techniques the author discovered a gradual and dynamic change in the way articles are accessed. In particular there is evidence of a journal browsing increase in comparison to the searching mode. Such phenomenon were interpreted using the idea that browsing better meets the needs of users when they want to keep abreast about the latest advances in their scientific field, in comparison to a more generic searching inside the digital library.

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