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  1. Article ; Online: Inference-based surface reconstruction of cluttered environments.

    Biggers, Keith / Keyser, John

    IEEE transactions on visualization and computer graphics

    2012  Volume 18, Issue 8, Page(s) 1255–1267

    Abstract: We present an inference-based surface reconstruction algorithm that is capable of identifying objects of interest among a cluttered scene, and reconstructing solid model representations even in the presence of occluded surfaces. Our proposed approach ... ...

    Abstract We present an inference-based surface reconstruction algorithm that is capable of identifying objects of interest among a cluttered scene, and reconstructing solid model representations even in the presence of occluded surfaces. Our proposed approach incorporates a predictive modeling framework that uses a set of user-provided models for prior knowledge, and applies this knowledge to the iterative identification and construction process. Our approach uses a local to global construction process guided by rules for fitting high-quality surface patches obtained from these prior models. We demonstrate the application of this algorithm on several example data sets containing heavy clutter and occlusion.
    Language English
    Publishing date 2012-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2011.263
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Integrating novel data streams to support biosurveillance in commercial livestock production systems in developed countries: challenges and opportunities.

    Gates, M Carolyn / Holmstrom, Lindsey K / Biggers, Keith E / Beckham, Tammy R

    Frontiers in public health

    2015  Volume 3, Page(s) 74

    Abstract: Reducing the burden of emerging and endemic infectious diseases on commercial livestock production systems will require the development of innovative technology platforms that enable information from diverse animal health resources to be collected, ... ...

    Abstract Reducing the burden of emerging and endemic infectious diseases on commercial livestock production systems will require the development of innovative technology platforms that enable information from diverse animal health resources to be collected, analyzed, and communicated in near real-time. In this paper, we review recent initiatives to leverage data routinely observed by farmers, production managers, veterinary practitioners, diagnostic laboratories, regulatory officials, and slaughterhouse inspectors for disease surveillance purposes. The most commonly identified challenges were (1) the lack of standardized systems for recording essential data elements within and between surveillance data streams, (2) the additional time required to collect data elements that are not routinely recorded by participants, (3) the concern over the sharing and use of business sensitive information with regulatory authorities and other data analysts, (4) the difficulty in developing sustainable incentives to maintain long-term program participation, and (5) the limitations in current methods for analyzing and reporting animal health information in a manner that facilitates actionable response. With the significant recent advances in information science, there are many opportunities to develop more sophisticated systems that meet national disease surveillance objectives, while still providing participants with valuable tools and feedback to manage routine animal health concerns.
    Language English
    Publishing date 2015-04-28
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2711781-9
    ISSN 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2015.00074
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: High real-time reporting of domestic and wild animal diseases following rollout of mobile phone reporting system in Kenya.

    Njenga, M Kariuki / Kemunto, Naomi / Kahariri, Samuel / Holmstrom, Lindsey / Oyas, Harry / Biggers, Keith / Riddle, Austin / Gachohi, John / Muturi, Mathew / Mwatondo, Athman / Gakuya, Francis / Lekolool, Isaac / Sitawa, Rinah / Apamaku, Michael / Osoro, Eric / Widdowson, Marc-Alain / Munyua, Peninah

    PloS one

    2021  Volume 16, Issue 9, Page(s) e0244119

    Abstract: Background: To improve early detection of emerging infectious diseases in sub-Saharan Africa (SSA), many of them zoonotic, numerous electronic animal disease-reporting systems have been piloted but not implemented because of cost, lack of user ... ...

    Abstract Background: To improve early detection of emerging infectious diseases in sub-Saharan Africa (SSA), many of them zoonotic, numerous electronic animal disease-reporting systems have been piloted but not implemented because of cost, lack of user friendliness, and data insecurity. In Kenya, we developed and rolled out an open-source mobile phone-based domestic and wild animal disease reporting system and collected data over two years to investigate its robustness and ability to track disease trends.
    Methods: The Kenya Animal Biosurveillance System (KABS) application was built on the Java® platform, freely downloadable for android compatible mobile phones, and supported by web-based account management, form editing and data monitoring. The application was integrated into the surveillance systems of Kenya's domestic and wild animal sectors by adopting their existing data collection tools, and targeting disease syndromes prioritized by national, regional and international animal and human health agencies. Smartphone-owning government and private domestic and wild animal health officers were recruited and trained on the application, and reports received and analyzed by Kenya Directorate of Veterinary Services. The KABS application performed automatic basic analyses (frequencies, spatial distribution), which were immediately relayed to reporting officers as feedback.
    Results: Of 697 trained domestic animal officers, 662 (95%) downloaded the application, and >72% of them started reporting using the application within three months. Introduction of the application resulted in 2- to 14-fold increase in number of disease reports when compared to the previous year (relative risk = 14, CI 13.8-14.2, p<0.001), and reports were more widely distributed. Among domestic animals, food animals (cattle, sheep, goats, camels, and chicken) accounted for >90% of the reports, with respiratory, gastrointestinal and skin diseases constituting >85% of the reports. Herbivore wildlife (zebra, buffalo, elephant, giraffe, antelopes) accounted for >60% of the wildlife disease reports, followed by carnivores (lions, cheetah, hyenas, jackals, and wild dogs). Deaths, traumatic injuries, and skin diseases were most reported in wildlife.
    Conclusions: This open-source system was user friendly and secure, ideal for rolling out in other countries in SSA to improve disease reporting and enhance preparedness for epidemics of zoonotic diseases.
    MeSH term(s) Animal Diseases ; Animals ; Cattle ; Kenya ; Livestock ; Sentinel Surveillance ; Sheep
    Language English
    Publishing date 2021-09-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0244119
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Improving Animal Disease Detection Through an Enhanced Passive Surveillance Platform.

    Thompson, Chelsea Wright / Holmstrom, Lindsey / Biggers, Keith / Wall, James / Beckham, Tammy / Coats, Matthew / Korslund, John / Colby, Michelle M

    Health security

    2016  Volume 14, Issue 4, Page(s) 264–271

    Abstract: The ability to rapidly detect and report infectious diseases of domestic animals and wildlife is paramount to reducing the size and duration of an outbreak. There is currently a need in the United States livestock industry for a centralized animal ... ...

    Abstract The ability to rapidly detect and report infectious diseases of domestic animals and wildlife is paramount to reducing the size and duration of an outbreak. There is currently a need in the United States livestock industry for a centralized animal disease surveillance platform, capable of collecting, integrating, and analyzing multiple data streams with dissemination to end-users. Such a system would be disease agnostic and establish baseline information on animal health and disease prevalence; it would alert health officials to anomalies potentially indicative of emerging and/or transboundary disease outbreaks, changes in the status of endemic disease, or detection of other causative agents (eg, toxins). As a part of its mission to accelerate and develop countermeasures against the introduction of emerging and/or transboundary animal diseases into the United States, the Department of Homeland Security is leading and investing in the development of an enhanced passive surveillance platform capable of establishing animal health baselines over time and alerting health officials to potential infectious disease outbreaks or other health anomalies earlier, allowing for more rapid response, improved animal health, and increased economic security.
    MeSH term(s) Animal Diseases/epidemiology ; Animals ; Communicable Diseases/epidemiology ; Communicable Diseases/veterinary ; Disease Outbreaks/veterinary ; Livestock ; Population Surveillance ; United States
    Language English
    Publishing date 2016-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2823049-8
    ISSN 2326-5108 ; 2326-5094
    ISSN (online) 2326-5108
    ISSN 2326-5094
    DOI 10.1089/hs.2016.0016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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