scholarly journals Sykdomspulsen One Health - A real time surveillance system in an infrastructure coping with half a million analysis a day

2021 ◽  
Vol 4 ◽  
Author(s):  
Clemence Koren ◽  
David Swanson ◽  
Gry Grøneng ◽  
Gunnar Rø ◽  
Petter Hopp ◽  
...  

Sykdomspulsen is a real time surveillance system developed by the Norwegian Institute of Public Health (NIPH) for One Health surveillance and the surveillance of other infectious diseases in humans like respiratory diseases and lately covid-19. The One Health surveillance comprise of Campylobacter data from humans and chicken farms and also includes diagnosis codes from doctor appointments and weather data with analysis forecasting outbreaks in Norway. It is a joint project between the Norwegian Institute of Public Health (NIPH) and the Norwegian Veterinary Institute (NVI), under the framework of the OHEJP NOVA (Novel approaches for design and evaluation of cost-effective surveillance across the food chain) and MATRIX (Connecting dimensions in One-Health surveillance) projects. The system relies on two pillars, the first being an analytics infrastructure which in real time retrieves data from tens of sources, cleans and harmonizes it, then runs over half a million analyses each day and produces over 20 000 000 rows of results to be used every day. The analytics infrastructure is based on R. Results are notably being used by NIPH for the monitoring of covid-19 development and the surveillance of other transmittable diseases such as influenza and gastro-intestinal illness. The analytics framework also generates hundreds of reports every day, directed at dissemination to municipal health authorities. This framework is not currently publicly available, but an open-source release is expected by the end of 2021. The second pilar is an interactive R Shiny dashboard platform, which is used for communicating the data and the model results to partner organisations. It allows for the easy creation of a website where public and animal health researchers and food safety experts can view real time analyses. This dashboard combines the powerful data visualisation and analysis strength of R with the accessibility, flexibility, structure and interactivity of web-based platforms. The result is a real time interactive surveillance system, that is supported by a solid infrastructure and streamlined data flow, and shared with actors through a beautiful and user-friendly website, based entirely on R.

2003 ◽  
Vol 10 (5) ◽  
pp. 399-408 ◽  
Author(s):  
Fu-Chiang Tsui ◽  
Jeremy U. Espino ◽  
Virginia M. Dato ◽  
Per H. Gesteland ◽  
Judith Hutman ◽  
...  

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Hayat Khogali ◽  
Ngozi A. Erondu ◽  
Betiel H. Haile ◽  
Scott J. McNabb

A recent assessment of the Sudan public health surveillance system found fragmented and siloed disease programs and an overburdened workforce due to vertical systems and inefficient processes. A plan of action was developed to support improving public health surveillance strengthening by: 1) implementing a strategic approach to achieving IHR (2005), 2) implementing One Health and IDSR aims, and 3) establishing an E-surveillance ICT platform for increasing public health surveillance capacity to safely and rapidly detect and report infectious diseases in Sudan.


2011 ◽  
Vol 140 (4) ◽  
pp. 575-590 ◽  
Author(s):  
J. A. DREWE ◽  
L. J. HOINVILLE ◽  
A. J. C. COOK ◽  
T. FLOYD ◽  
K. D. C. STÄRK

SUMMARYDisease surveillance programmes ought to be evaluated regularly to ensure they provide valuable information in an efficient manner. Evaluation of human and animal health surveillance programmes around the world is currently not standardized and therefore inconsistent. The aim of this systematic review was to review surveillance system attributes and the methods used for their assessment, together with the strengths and weaknesses of existing frameworks for evaluating surveillance in animal health, public health and allied disciplines. Information from 99 articles describing the evaluation of 101 surveillance systems was examined. A wide range of approaches for assessing 23 different system attributes was identified although most evaluations addressed only one or two attributes and comprehensive evaluations were uncommon. Surveillance objectives were often not stated in the articles reviewed and so the reasons for choosing certain attributes for assessment were not always apparent. This has the potential to introduce misleading results in surveillance evaluation. Due to the wide range of system attributes that may be assessed, methods should be explored which collapse these down into a small number of grouped characteristics by focusing on the relationships between attributes and their links to the objectives of the surveillance system and the evaluation. A generic and comprehensive evaluation framework could then be developed consisting of a limited number of common attributes together with several sets of secondary attributes which could be selected depending on the disease or range of diseases under surveillance and the purpose of the surveillance. Economic evaluation should be an integral part of the surveillance evaluation process. This would provide a significant benefit to decision-makers who often need to make choices based on limited or diminishing resources.


2007 ◽  
Vol 14 (5) ◽  
pp. 581-588 ◽  
Author(s):  
B. Y. Reis ◽  
C. Kirby ◽  
L. E. Hadden ◽  
K. Olson ◽  
A. J. McMurry ◽  
...  

2021 ◽  
pp. 104063872110030
Author(s):  
Craig N. Carter ◽  
Jacqueline L. Smith

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.


Author(s):  
Eric Pelfrene ◽  
Radu Botgros ◽  
Marco Cavaleri

Abstract Background Antimicrobial resistance (AMR) is a growing global problem to which the ongoing COVID-19 pandemic may further contribute. With resources deployed away from antimicrobial stewardship, evidence of substantial pre-emptive antibiotic use in COVID-19 patients and indirectly, with deteriorating economic conditions fuelling poverty potentially impacting on levels of resistance, AMR threat remains significant. Main body In this paper, main AMR countermeasures are revisited and priorities to tackle the issue are re-iterated. The need for collaboration is stressed, acknowledging the relationship between human health, animal health and environment (“One Health” approach). Among the stated priorities, the initiative by the European Medicines Regulatory Network to further strengthen the measures in combatting AMR is highlighted. Likewise, it is asserted that other emerging health threats require global collaboration with the One Health approach offering a valuable blueprint for action. Conclusion The authors stress the importance of an integrated preparedness strategy to tackle this public health peril.


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