A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Blockchain for Multi-Robot Collaboration to Combat COVID-19 and Future Pandemics
[article]
2020
arXiv
pre-print
Preserved Fulltext
Robots are a promising technology for providing many tasks such as spraying, disinfection, cleaning, treating, detecting high body temperature/mask absence, and delivering goods and medical supplies experiencing ...
For combating COVID-19, many heterogeneous and homogenous robots are required to perform different tasks for supporting different purposes in the quarantine area. ...
It is used for a few purposed, i.e., data gathered from robots, commands from the control unit, and integrity protection. ...
arXiv:2010.02137v1
fatcat:pyvp7e7zlvbqthejxss5cuccyq
Blockchain for Multi-Robot Collaboration to Combat COVID-19 and Future Pandemics
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Robots are a promising technology for providing many tasks such as spraying, disinfection, cleaning, treating, detecting high body temperature/mask absence, and delivering goods and medical supplies experiencing ...
For combating COVID-19, many heterogeneous and homogenous robots are required to perform different tasks for supporting different purposes in the quarantine area. ...
TABLE 3 . 3 Proposed framework solution summary for combating COVID-19 outbreak. ...
doi:10.1109/access.2020.3032450
pmid:34786312
pmcid:PMC8545252
fatcat:coxaihtphzcl3kmobx7pvn4suy
From Ontology Selection and Semantic Web to an Integrated Information System for Food-borne Diseases and Food Safety
[chapter]
2011
Advances in Experimental Medicine and Biology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
to scientists in academia, the food industry, and government agencies; and d) development of a computational model in semantic web for greater adaptability and robustness. ...
Several factors have hindered effective use of information and resources related to food safety due to inconsistency among semantically heterogeneous data resources, lack of knowledge on profiling of food-borne ...
Outbreak Trace Data Analysis Module: a database-based tracking system for surveillance. ...
doi:10.1007/978-1-4419-7046-6_76
pmid:21431616
fatcat:4ujwh2c4ljd53gmyhznlwuoeju
Towards bioinformatics assisted infectious disease control
2009
BMC Bioinformatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Half of the outbreaks were detected in the first half of their duration. ...
This paper proposes a novel framework for bioinformatics assisted biosurveillance and early warning to address the inefficiencies in traditional surveillance as well as the need for more timely and comprehensive ...
Acknowledgements The authors thank Drs Q Wang, JR Iredell, L Hiley and GL Gilbert for their expert advice and providing genotyping data. ...
doi:10.1186/1471-2105-10-s2-s10
pmid:19208185
pmcid:PMC2646247
fatcat:x4jds5naerdhdenvsnltgi3chi
Towards Data Driven Spatio-Temporal Threshold Identification Based on Cost Effective Public Health Information Management Framework
2022
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
data driven framework called Health Data Driven Framework (HDDF) through which data generated at health care facilities may be used for threshold detection and alarm generation. ...
and utilisation of data to identify thresholds for disease outbreak in order to improve health status and health system performance. ...
A challenge is posed by the fact that the baseline calculation requires availability of data over a period of time that requires a framework for data integration, storage and analysis [8] . ...
doi:10.1109/access.2022.3149349
fatcat:ilcjcbeg4rfadc43jztho33vnm
A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges
2021
International Journal on Advanced Science, Engineering and Information Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
A spatial technologies framework for enhancing malaria monitoring is also proposed where it identifies the role of spatial technologies and applications in monitoring malaria disease outbreaks. ...
This paper mainly focuses on using statistical or machine learning-based models and geographic information science (GIS) and remote sensing (RS) technology for monitoring malaria disease outbreaks. ...
Fig. 2 2 Fig. 2 Spatial technologies, tools, and applications framework for monitoring malaria disease outbreak
has four main components: (a) Data Capturing phase; (b) Data Storing phases; (c) Data Analysis ...
doi:10.18517/ijaseit.11.1.11883
fatcat:p7vkunrl4vglnkitiza3tn5dui
Network inference from multimodal data: A review of approaches from infectious disease transmission
2016
Journal of Biomedical Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
For infectious diseases in particular, there is a body of knowledge that has been focused on combining multiple pieces of linked information. ...
Multi-domain data can now be used to improve the robustness and reliability of recovered networks from unimodal data. ...
[25] developed a Bayesian likelihood-based framework integrating genetic and epidemiological data. ...
doi:10.1016/j.jbi.2016.09.004
pmid:27612975
pmcid:PMC7106161
fatcat:tpsn75h7lnf3td6xplygemx3ca
The network epidemiology of an Ebola epidemic
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
partners to validate a network epidemiology framework connecting the population (incidence), community (local forecasts), and individual (secondary infections) scales of disease transmission. ...
We leverage the data collected by the surveillance and contact tracing protocols of the Sierra Leone Ministry of Health and Sanitation, the US Centers for Disease Control and Prevention, and other responding ...
for Disease Modeling. ...
arXiv:2111.08686v1
fatcat:qlbhcnmmwfeqxouibx6abxemki
New technologies in predicting, preventing and controlling emerging infectious diseases
2015
Virulence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A wealth of new technologies is becoming increasingly available for the rapid molecular identification of pathogens but also for the more accurate monitoring of infectious disease activity. ...
Web-based surveillance tools and epidemic intelligence methods, used by all major public health institutions, are intended to facilitate risk assessment and timely outbreak detection. ...
of the barriers for early outbreak detection. ...
doi:10.1080/21505594.2015.1040975
pmid:26068569
pmcid:PMC4720248
fatcat:asab2bcdbnhp5nkuphyb3357my
A decision support framework for prediction of avian influenza
2020
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The complicated and global spread of avian influenza calls for surveillance tools for timely and reliable prediction of disease events. ...
The presented framework here can support health care authorities by providing them with an opportunity for early control of emergency situations. ...
In another study 24 , a framework was designed to integrate knowledge from different domains for avian influenza outbreak identification. ...
doi:10.1038/s41598-020-75889-7
pmid:33149144
pmcid:PMC7642392
fatcat:oyzbq6tffnesbfgzrd3nl7xdne
DETECTING FLU OUTBREAKS BASED ON SPATIOTEMPORAL INFORMATION FROM URBAN SYSTEMS – DESIGNING A NOVEL STUDY
2018
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Real-time data-streams provide a powerful, yet underutilised tool when it comes to monitoring and detecting changes to the daily behaviour of inhabitants. ...
This type of more up-to-date and geographically precise information could contribute to earlier detection of flu outbreaks and serve as background for implementing tailor-made emergency response measures ...
data, heterogeneous surveillance data and epidemiological models. ...
doi:10.5194/isprs-archives-xlii-3-w4-231-2018
fatcat:qzzawdlf7zhgdi37agqjfjzefm
Review of methods for space–time disease surveillance
2010
Spatial and Spatio-temporal Epidemiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
A vast and growing suite of methods exists for detection of outbreaks and trends in surveillance data and the selection of appropriate methods in a given surveillance context is not always clear. ...
A review of some methods for analysis of space-time disease surveillance data is presented. ...
Barry Boots for direction and suggestions during the starting phase of this research. ...
doi:10.1016/j.sste.2009.12.001
pmid:22749467
pmcid:PMC7185413
fatcat:wcujb3hxirad7je5trchfapt2a
Environmental Correlates of H5N2 Low Pathogenicity Avian Influenza Outbreak Heterogeneity in Domestic Poultry in Italy
2014
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Outbreaks affecting ornamental, commercial and rural multi-species flocks occurred mainly in lowly infrastructured areas of northern Italy. ...
Considering outbreak heterogeneity rather than treating all outbreaks of low pathogenicity AI (LPAI) viruses equally is important given their interactions with the environment and potential to spread, ...
It is therefore increasingly apparent that a disease ecology framework, which posits that disease emergence is the result of multifactorial interactions with the environment as a whole [16] , may well ...
doi:10.1371/journal.pone.0086788
pmid:24466241
pmcid:PMC3899360
fatcat:g5nsr63zdbaktirfwglgnnerde
One Health Approach to Dengue Haemorrhagic Fever Control in Indonesia: A Systematic Review
2018
KnE Life Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
One Health is a global strategy to develop collaboration and communication of interdisciplinary in the health care aspect. ...
(DPSIR) framework as a basis for integrating social, cultural, and economic aspects of environmental and human health into a single framework. ...
highly complex, technology-driven automated tool for early detection of outbreaks. ...
doi:10.18502/kls.v4i1.1382
fatcat:7vhs6rsedrfrjogumz5hs3emlm
Constructing Rigorous and Broad Biosurveillance Networks for Detecting Emerging Zoonotic Outbreaks
2015
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The model forecasts can help clarify the complexities of potential scenarios, and optimize biosurveillance programs for rapidly detecting infectious diseases. ...
stations that are effective for different pathogen strains and a range of possible outbreak locations. ...
Acknowledgments We thank the New Mexico Geo-Epidemiology Network for comments and ideas on analysis and interpretation. ...
doi:10.1371/journal.pone.0124037
pmid:25946164
pmcid:PMC4422680
fatcat:h3vpbz73fzfwhh4t3pmc33v5we
« Previous
Showing results 1 — 15 out of 7,732 results