Relevant bibliographies by topics / Safety surveillance

Academic literature on the topic 'Safety surveillance'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Safety surveillance"

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Stockwell, David C. "PICU Safety Surveillance." Pediatric Critical Care Medicine 19, no. 9 (September 2018): 903–4. http://dx.doi.org/10.1097/pcc.0000000000001673.

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ERIKSSON, L. I., E. LEANDER, and C. LENNMARKEN. "SURVEILLANCE AND SAFETY." British Journal of Anaesthesia 65, no. 4 (October 1990): 594–95. http://dx.doi.org/10.1093/bja/65.4.594-a.

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Ruff, Jesley C. "Surveillance and Safety." Journal of the American Dental Association 151, no. 10 (October 2020): 722–23. http://dx.doi.org/10.1016/j.adaj.2020.08.010.

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Prabhakar, Upasana, and Brian Edwards. "Postmarketing Safety Surveillance." Pharmaceutical Medicine 24, no. 6 (December 2010): 343–48. http://dx.doi.org/10.1007/bf03256835.

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Bortnichak, Edward A., Robert P. Wise, Marcel E. Salive, and Hugh H. Tilson. "Proactive safety surveillance." Pharmacoepidemiology and Drug Safety 10, no. 3 (2001): 191–96. http://dx.doi.org/10.1002/pds.587.

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Coloma, Preciosa M., Gianluca Trifirò, Vaishali Patadia, and Miriam Sturkenboom. "Postmarketing Safety Surveillance." Drug Safety 36, no. 3 (February 2, 2013): 183–97. http://dx.doi.org/10.1007/s40264-013-0018-x.

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Masoudi, Frederick A. "Improving Drug Safety Surveillance." Circulation: Cardiovascular Quality and Outcomes 3, no. 5 (September 2010): 444–46. http://dx.doi.org/10.1161/circoutcomes.110.958413.

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Maro, Judith C., Jeffrey S. Brown, and Martin Kulldorff. "Medical Product Safety Surveillance." Epidemiology 24, no. 5 (September 2013): 692–99. http://dx.doi.org/10.1097/ede.0b013e31829dde59.

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Wu, Jasmanda H., Man C. Fung, Kenneth Kwong, Kenneth Hornbuckle, and Edmundo Muniz. "Postmarketing Drug Safety Surveillance." Pharmaceutical Development and Regulation 1, no. 4 (December 2003): 231–44. http://dx.doi.org/10.1007/bf03257383.

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Downes, Katharine A. "Blood safety and surveillance." Transfusion 43, no. 9 (August 15, 2003): 1338–39. http://dx.doi.org/10.1046/j.1537-2995.2003.00531.x.

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Dissertations / Theses on the topic "Safety surveillance"

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Strandell, Johanna. "Drug interaction surveillance using individual case safety reports." Doctoral thesis, Linköpings universitet, Klinisk farmakologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70424.

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Background: Drug interactions resulting in adverse drug reactions (ADRs) represent a major health problem both for individuals and society in general. Post-marketing pharmacovigilance reporting databases with compiled individual case safety reports (ICSRs) have been shown to be particularly useful in the detection of novel drug - ADR combinations, though these reports have not been fully used to detect adverse drug interactions. Aim: To explore the potential to identify drug interactions using ICSRs and to develop a method to facilitate the detection of adverse drug interaction signals in the WHO Global ICSR Database, VigiBase. Methods: All six studies included in this thesis are based on ICSRs available in VigiBase. Two studies aimed to characterise drug interactions reported in VigiBase. In the first study we examined if contraindicated drug combinations (given in a reference source of drug interactions) were reported on the individual reports in the database, and in the second study we examined the scientific literature for interaction mechanisms for drug combinations most frequently co-reported as interacting in VigiBase. Two studies were case series analyses where the individual reports were manually reviewed. The two remaining studies aimed to develop a method to facilitate detection of novel adverse drug interactions in VigiBase. One examined what information (referred to as indicators) was reported on ICSRs in VigiBase before the interactions became listed in the literature. In the second methodological study, logistic regression was used to set the relative weights of the indicators to form triage algorithms. Three algorithms (one completely data driven, one semi-automated and one based on clinical knowledge) based on pharmacological and reported clinical information and the relative reporting rate of an ADR with a drug combination were developed. The algorithms were then evaluated against a set of 100 randomly selected case series with potential adverse drug interactions. The algorithm’s performances were then evaluated among DDAs with high coefficients. Results: Drug interactions classified as contraindicated are reported on the individual reports in VigiBase, although they are not necessarily recognised as interactions when reported. The majority (113/123) of drug combinations suspected for being responsible for an ADR were established drug interactions in the literature. Of the 113 drug interactions 46 (41%) were identified as purely pharmacodynamic; 28 (25%) as pharmacokinetic; 18 (16%) were a mix of both types and for 21 (19%) the mechanism have not yet been identified. Suspicions of a drug interaction explicitly noted by the reporter are much more common for known adverse drug interactions than for drugs not known to interact. The clinical evaluation of the triage algorithms showed that 20 were already known in the literature, 30 were classified as signals and 50 as not signals. The performance of the semi-automated and the clinical algorithm were comparable. In the end the clinical algorithm was chosen. At a relevant level, 38% were of the adverse drug interactions were already known in the literature and of the remaining 80% were classified as signals for this algorithm. Conclusions: This thesis demonstrated that drug interactions can be identified in large post-marketing pharmacovigilance reporting databases. As both pharmacokinetic and pharmacodynamic interactions were reported on ICSRs the surveillance system should aim to detect both. The proposed triage algorithm had a high performance in comparison to the disproportionality measure alone.
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Schuh, Anna Kristine. "Occupational Safety Surveillance Using a Statistical Monitoring Approach." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/24068.

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When unsafe conditions arise in a workplace, they may result in employee accidents and fatalities. However, if these problems are detected early, new hazard controls and safety initiatives can be introduced in order to actively reduce or prevent the occurrence of these events. Unfortunately, many safety systems currently monitor and report data that has been aggregated over long time periods, making it difficult to realize and respond to pattern shifts in a timely manner. When monitoring a process over time, a commonly used tool is statistical process control charting. Traditionally used in manufacturing, control charts indicate a deviation from historically "normal" or "in-control" behavior and have become increasingly common in healthcare and public health monitoring. This dissertation studies the use of control charts to monitor the frequency of occupational safety incidents, with the overarching goal of investigating the effects of data aggregation on the detection performance of these charts. Specifically, this dissertation 1) qualitatively establishes the need for more frequent monitoring of safety incidents; 2) investigates the comparative performance of control charts with aggregated and non-aggregated data for the detection of increased accident frequency, using a case study with data from an industrial partner; 3) more generally compares the performance of these charts for a Poisson process with a range of simulated process shifts; and 4) discusses the potential future challenges of including accident severity in quantitative safety monitoring systems. The comprehensive results indicate that lower degrees of data aggregation are preferred, and suggestions for better data collection and employee communication practices are offered to aid the transition for companies.
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Glenister, Helen Mary. "Surveillance methods for hospital infection." Thesis, University of Surrey, 1991. http://epubs.surrey.ac.uk/664/.

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Eight selective surveillance methods were assessed for their effectiveness in detecting hospital infection and the time required for data collection. The methods were compared with a reference method which was designed to identify all patients and infections in the study population (patients occupying 122 beds of a district general hospital). The selective methods were: - laboratory based ward surveillance - laboratory based telephone surveillance - ward liaison surveillance - laboratory based ward liaison surveillance - risk factor surveillance - temperature chart surveillance - treatment chart surveillance - temperature and treatment chart surveillance. The proportions of community acquired infection (CAI) and hospital acquired infection (HAI) detected by the selective surveillance methods varied; the highest proportion of CAI (70%) was identified by treatment chart surveillance, and temperature and treatment chart surveillance, and of HAI (71%), detected by laboratory based ward liaison surveillance. The time for data collection ranged from 1.5 hours/122 beds/week for laboratory based telephone surveillance to almost 8 hours for temperature and treatment chart surveillance. The time for the reference method was 22.1 hours/122 beds/week. Using the proportion of patients with HAI detected and time required for data collection to assess the methods, laboratory based ward liaison surveillance was the most effective and an efficient method. This method was revised minimally and introduced into six district general hospitals by infection control nurses. The time for data collection ranged from 4 to almost 8 hours/120 beds/week. The revision did not affect the proportion of HAI detected, however, the proportion of CAI identified was significantly reduced. The reproducibility of laboratory based ward liaison surveillance was good. The results will enable infection control teams to make an objective and rational choice of methods for the surveillance of hospital infection.
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Gono, Charles Saye. "Environmental surveillance monitoring XYZ-La Crosse." Online version, 2001. http://www.uwstout.edu/lib/thesis/2001/2001gonoc.pdf.

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McCracken, Selwyn, and n/a. "An injury surveillance framework for the New Zealand construction industry." University of Otago. Dunedin School of Medicine, 2009. http://adt.otago.ac.nz./public/adt-NZDU20090501.140407.

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Background: The burden of fatal and non-fatal injury for the New Zealand construction industry is larger than most other industrial sectors. Injury preventions efforts for construction have however been hampered because of insufficient, industry-specific, surveillance data that is essential for the effective targeting and evaluation of interventions. Aim: This thesis aimed to describe and test a feasible framework of Injury Surveillance for the New Zealand construction industry. Accordingly, the specific objectives to accomplish this aim were: To identify an optimal surveillance dataset for New Zealand construction injuries; To assess potential sources of data and collection methods; To describe an ideal study design for undertaking injury surveillance; To implement an operational design based on industry stakeholder input; To undertake and evaluate an injury surveillance trial; and To suggest how a viable surveillance system could be permanently established. Method: A trial injury surveillance system was developed by identifying known construction injury risk factors from the literature, reviewing the data collection practices of the New Zealand industry and other potential data sources and consulting with industry stakeholders about the most feasible collection methodology. This surveillance framework was then tested by combining national data from routine Government sources and data from 3 construction companies that employed approximately 720 workers between them. National construction injury data was obtained from the Accident Compensation Corporation, the Department of Labour and the Injury Information Manager. The trial Surveillance System was then evaluated in terms of its ability to collect the full range of an optimal dataset, the quality and completeness of information actually collected, the ability to identify and monitor injury priorities for the industry, and the future viability and acceptability of this surveillance design to the industry. Results: A total of 468 medically treated injuries were recorded by the participating companies, with 15 (3.2%) considered to be Serious Harm injuries as defined by the Health and Safety in Employment Act. The level of data completeness across companies was especially low, with on average 18 out of 34 data fields (53%) completely unrecorded. The data from one company was sufficiently complete (i.e. 63% across all fields) to allow individual risk factor analyses to be conducted, whereas the absence of complete denominator data prevented the completion of the same analyses for the other two companies. Viewed overall, Government agency data was sufficiently detailed to estimate national longitudinal trends, injury agency and mechanism priorities for specific occupations and industry subsectors, and allowed a rudimentary evaluation of a national intervention programme. However, questions about data accuracy, completeness and under-reporting were raised for each of the Government data sources used. Conclusions: Using data entirely from Government sources appears to be the most immediately viable framework of Injury Surveillance for the New Zealand construction industry. As such, the relevant range of analyses demonstrated by this study should be continued, expanded and improved. In contrast, obtaining injury surveillance data from companies in the manner that was tested does not appear to feasible, given the difficulty in recruiting companies and the poor data completeness of those companies that did participate. However, the increased range of prevention targets identified by the company that did largely contribute data as intended, demonstrated that company surveillance had merit relative to existing procedures. Suggested steps toward implementing viable construction injury surveillance within New Zealand are outlined, including a recommendation to the industry�s Health and Safety organisation, SiteSafe, to investigate the most feasible data collection protocol for its members.
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Speid, Lorna. "The safety assessment of medicines : pre and post-marketing." Thesis, Cardiff University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362576.

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Gillespie, Caroline. "Safety in supply chains: Evaluating sources of evidence." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/203732/1/Caroline_Gillespie_Thesis.pdf.

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Focussed on supply chains and vulnerable workers, this research aims to address gaps in understanding the: • quality, completeness and usefulness of key data sources for occupational injury surveillance • occupational injury patterns and trends across different data collections (hospitalised injuries, workers' compensation claims and regulator reports) • regulator enforcement data patterns and trends • how parties communicate, consult and coordinate regarding hazards and risks to health and safety across supply chain operations. This research identified opportunities to achieve a more complete occupational-injury surveillance profile that could better identify the at-risk worker population and enable regulators to employ more risk-responsive supply chain interventions.
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Syd, Ali Busyairah. "A safety assessment framework for Automatic Dependent Surveillance Broadcast (ADS-B) and its potential impact on aviation safety." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24713.

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The limitations of the current civil aviation surveillance systems include a lack of coverage in some areas and low performance in terms of accuracy, integrity, continuity and availability particularly in high density traffic areas including airports, with a negative impact on capacity and safety. Automatic Dependent Surveillance Broadcast (ADS-B) technology has been proposed to address these limitations by enabling improved situational awareness for all stakeholders and enhanced airborne and ground surveillance, resulting in increased safety and capacity. In particular, its scalability and adaptability should facilitate its use in general aviation and in ground vehicles. This should, in principle, provide affordable, effective surveillance of all air and ground traffic, even on airport taxiways and runways, and in airspace where radar is ineffective or unavailable. The success of the progressive implementation of ADS-B has led to numerous programmes for its introduction in other parts of the World where the operational environment is considerably different from that of Australia. However, a number of critical issues must be addressed in order to benefit from ADS-B, including the development and execution of a safety case that addresses both its introduction into legacy and new systems' operational concepts, the latter including the Single European Sky (SES) / Single European Sky ATM Research (SESAR) and the US' Next Generation Air Transportation System (NexGEN). This requires amongst others, a good understanding of the limitations of existing surveillance systems, ADS-B architecture and system failures and its interfaces to the existing and future ATM systems. Research on ADS-B to date has not addressed in detail the important questions of limitations of existing systems and ADS-B failure modes including their characterisation, modelling and assessment of impact. The latter is particularly important due to the sole dependency of ADS-B on GNSS for information on aircraft state and its reliance on communication technologies such as Mode-S Extended Squitter, VHF Data Link Mode-4 (VDLM4) or Universal Access Transceiver (UAT), to broadcast the surveillance information to ground-based air traffic control (ATC) and other ADS-B equipped aircraft within a specified range, all of which increase complexity and the potential for failures. This thesis proposes a novel framework for the assessment of the ADS-B system performance to meet the level of safety required for ground and airborne surveillance operations. The framework integrates various methods for ADS-B performance assessment in terms of accuracy, integrity, continuity, availability and latency, and reliability assessment using probabilistic safety assessment methods; customized failure mode identification approach and fault tree analysis. Based on the framework, the thesis develops a failure mode register for ADS-B, identifies and quantifies the impact of a number of potential hazards for the ADS-B. Furthermore, this thesis identifies various anomalies in the onboard GNSS system that feeds aircraft navigation information into the ADS-B system. Finally, the thesis maps the ADS-B data availability and the quantified system performance to the envisioned airborne surveillance application's requirements. The mapping exercise indicates that, the quantified ADS-B accuracy is sufficient for all applications while ADS-B integrity is insufficient to support the most stringent application: Airborne Separation (ASEP). In addition, some of the required performance parameters are unavailable from aircraft certified to DO-260 standard. Therefore, all aircraft must be certified to DO-260B standard to support the applications and perform continuous monitoring, to ensure consistency in the system performance of each aircraft.
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Leite, A. "Near real-time vaccine safety surveillance using United Kingdom electronic health records." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2018. http://researchonline.lshtm.ac.uk/4649039/.

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This thesis describes the feasibility of implementing a near real-time vaccine safety surveillance system (NRTVSS) using data from the Clinical Practice Research Datalink (CPRD), a United Kingdom (UK) research-level primary care database. NRTVSS is one method in the vaccine safety post-licensure toolkit, used since 2005. To understand how NRTVSS has been applied I conducted a systematic review of studies using NRTVSS. I identified 31 systems, mainly in the USA. Several sequential tests were in use, most commonly the Poisson-based maximized sequential probability ratio test (PMaxSPRT, 44%) and its binomial version (BMaxSPRT, 24%). Only 75% of studies addressed confounding, mainly by adjusting the expected rate. Delays in data availability may hinder the feasibility of implementing a system; some studies delayed the analysis, whilst others adjusted for delays and partially accrued periods. In CPRD, delays in recording outcomes are particularly relevant. Hence, I assessed those delays for selected outcomes of interest for vaccine safety (Bell’s palsy, Guillain-Barré syndrome (GBS), optic neuritis, and febrile seizures (FS)) by comparing the deemed date of diagnosis to the date the event was recorded in the system. Three-quarters of the records accrued during the first month, considered as sufficient to implement NRTVSS. I thus trialled the implementation of a system using previously collected CPRD data, for seasonal influenza/GBS and measles-mumps-rubella/FS. This included power calculations for detecting a signal. I used PMaxSPRT for both vaccine/outcome pairs and BMaxSPRT for measles-mumps-rubella/FS. Both tests were adjusted for delays in recording outcomes, based on the previous analysis. It was possible to implement a system, but power was < 80% to detect less than a four-fold increase in the risk of GBS following influenza vaccine. For this pair, I re-evaluated power after removing delays in data availability, with no significant improvement. This work establishes the foundation of a NRTVSS using CPRD for potential application in the UK. Future research could assess further vaccine/outcome pairs and explore the use of other statistical tests. Overall, this project contributes to UK vaccine pharmacovigilance.
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Batra, Sonia. "The Impact of the Sentinel Initiative and FAERS Surveillance System on Consumer Safety." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2438.

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The U.S. Food and Drug Administration (FDA) uses the FDA Adverse Event Reporting System (FAERS) to monitor adverse events resulting from pharmaceutical drug use. However, this system has limitations such as not allowing real-time data collection. To address these limitations, the FDA launched the Sentinel Initiative in 2008. This comparative case study was conducted to describe perceptions of investigating the efficacy of the Sentinel Initiative compared with the FAERS. The study was based on the theory of preemption as it emphasized the need for efficient means for providing unquestionable proof that consumers suffered adverse drug effects. The sample included interivews of 20 individuals, who worked closely with the FAERS program and were familiar with the Sentinel Initiative. In-depth key-informant interviews had been conducted to determine the perceptions of the participants regarding the challenges and benefits of the Sentinel Initiative compared with FAERS. To analyze data, content analysis was used. The study concluded that the FAERS and Sentinel Initiative provided a systematic database, which included health data, that could be used to improve public health. Due to the FAERS and Sentinel Initiative, adverse effects of drugs will be recognized and the safety of the patients and the public will be prioritized. The findings of this study have potential social impact for positive change at the societal level, organizational level, and individual level in terms of overall safety of the drugs. Sentinel initiative at its present state complements the existing FAERS and leverage its benefits by connecting at a grass roots level patients to an organization level as well as stakeholders to make an impact in providing safer drugs on the market.
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Books on the topic "Safety surveillance"

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Selecky, Mary. Surveillance evaluation report. Olympia, WA: Washington State Department of Health, 1998.

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Selecky, Mary. Surveillance evaluation report. Olympia, WA (P.O. Box 47880, Olympia 98504-7880): Washington State Dept. of Health, 1998.

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International Atomic Energy Agency; IAEA. Surveillance of items important to safety in nuclear power plants: Safety guide. Vienna: The Agency, 1990.

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Gad, Shayne C. Drug safety evaluation. 2nd ed. Hoboken, N.J: Wiley, 2009.

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Penman, A. D. M. Instrumentation, monitoring and surveillance: Embankment dams. Rotterdam: A.A. Balkema, 1999.

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Pfeiffer, Martin. Basics of drug safety. München: Zuckschwerdt, 1999.

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Safety pharmacology in pharmaceutical development: Approval and post marketing surveillance. 2nd ed. Boca Raton, FL: CRC Press/Taylor & Francis, 2012.

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United States. Occupational Safety and Health Administration. Screening and surveillance: A guide to OSHA standards. Washington, DC: U.S. Dept. of Labor, Occupational Safety and Health Administration ; For sale by U.S. G.P.O., Supt. of Docs., 1999.

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Rechsteiner, Martin. Real time inverse stereo system for surveillance of dynamic safety envelopes. Konstanz: Hartung-Gorre, 1997.

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Deacon, Steve. Health surveillance at work: A comprehensive review of health surveillance procedures for regulatory compliance and good management practice. Hertfordshire, England: Technical Communications (Publishing), 1995.

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Book chapters on the topic "Safety surveillance"

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Miller, E., and J. Stowe. "Vaccine Safety Surveillance." In Stephens' Detection and Evaluation of Adverse Drug Reactions, 603–24. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9780470975053.ch13.

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Woo, Emily Jane, Jerry Labadie, and M. Miles Braun. "Vaccine Safety Surveillance." In Mann's Pharmacovigilance, 303–17. Oxford, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118820186.ch18.

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Miller, E. "Vaccine Safety Surveillance." In Stephens' Detection of New Adverse Drug Reactions, 571–90. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470014199.ch14.

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Hedberg, Craig W. "Use of Surveillance Networks." In Food Safety Handbook, 353–61. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/047172159x.ch19.

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Clutterbuck, Richard. "Surveillance and Access Control." In Public Safety and Civil Liberties, 200–207. London: Palgrave Macmillan UK, 1997. http://dx.doi.org/10.1007/978-1-349-25366-1_16.

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Guo, Yunchang, Shuyu Wu, and Jianghui Zhu. "Food-borne Diseases and Surveillance." In Food Safety in China, 53–63. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119238102.ch5.

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Scharff, Robert L., and Craig Hedberg. "The Role of Surveillance in Promoting Food Safety." In Food Safety Economics, 251–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92138-9_13.

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"Safety Surveillance Programs." In Prepare and Protect, 204–19. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2020. http://dx.doi.org/10.1128/9781683670179.ch15.

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"Safety and Surveillance." In Advances In Industrial Ergonomics And Safety IV, 205–67. CRC Press, 1992. http://dx.doi.org/10.1201/9781482272383-9.

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"Pedagogies of Surveillance." In Framing Internet Safety. The MIT Press, 2016. http://dx.doi.org/10.7551/mitpress/10311.003.0005.

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Conference papers on the topic "Safety surveillance"

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Ghosh, Arup Kumar, Karla Badillo-Urquiola, Shion Guha, Joseph J. LaViola Jr, and Pamela J. Wisniewski. "Safety vs. Surveillance." In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3173574.3173698.

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Kuntze, Nicolai, Carsten Rudolph, Germany Brooke Brisbois, Megan Boggess, Barbara Endicott-Popovsky, and Sally Leivesley. "Security vs. safety: Why do people die despite good safety?" In 2015 Integrated Communication, Navigation, and Surveillance Conference (ICNS). IEEE, 2015. http://dx.doi.org/10.1109/icnsurv.2015.7121213.

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Kuntze, Nicolai, Carsten Rudolph, Brooke Brisbois, Megan Boggess, Barbara Endicott-Popovsky, and Sally Leivesley. "Safety vs. Security: Why do people die despite good safety?" In 2015 Integrated Communication, Navigation, and Surveillance Conference (ICNS). IEEE, 2015. http://dx.doi.org/10.1109/icnsurv.2015.7121276.

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Kamal, Ruksin, Ajai John Chemmanam, Bijoy A. Jose, Sunil Mathews, and Eldho Varghese. "Construction Safety Surveillance Using Machine Learning." In 2020 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2020. http://dx.doi.org/10.1109/isncc49221.2020.9297198.

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Arvelo, Eduardo, Eric Kim, and Nuno C. Martins. "Maximal persistent surveillance under safety constraints." In 2013 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2013. http://dx.doi.org/10.1109/icra.2013.6631148.

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Umapathy, K., S. Chandramohan, A. Sathvika, A. Sruthi, K. Sreeja, and M. Sivakumar. "Night Surveillance Robot for Women Safety." In 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2022. http://dx.doi.org/10.1109/icesc54411.2022.9885479.

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Volchansky, Lou. "Standards in aviation safety (AVS)." In 2016 Integrated Communications Navigation and Surveillance (ICNS). IEEE, 2016. http://dx.doi.org/10.1109/icnsurv.2016.7486426.

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Sohn, DongHyeok, and Antonio Trani. "Multimode safety metric analysis." In 2010 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2010. http://dx.doi.org/10.1109/icnsurv.2010.5503328.

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Gillespie, Caroline, Kirsten Vallmuur, Narelle Haworth, and Darren Wishart. "PW 2221 Comparing work-related injury surveillance systems in queensland." In Safety 2018 abstracts. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/injuryprevention-2018-safety.594.

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Seago, D. A. "Hands-off Safety." In Surveillance, Pilot and Rescue Craft For The 21st Century 3. RINA, 1994. http://dx.doi.org/10.3940/rina.surv.1994.5.

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Reports on the topic "Safety surveillance"

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SCHWEHR, B. A. B Plant surveillance and maintenance phase technical safety requirements. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/798110.

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SCHWEHR, B. A. Criteria Document for B-plant Surveillance and Maintenance Phase Safety Basis Document. Office of Scientific and Technical Information (OSTI), August 1999. http://dx.doi.org/10.2172/797658.

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Fabic, S. Application of the adaptive-predictive controllers to plant safety surveillance utilizing on-line Plant Analyzer. Office of Scientific and Technical Information (OSTI), October 1987. http://dx.doi.org/10.2172/5855898.

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Motley, Robert, Rebekah Siddiqi, Awanti Acharya, Eric Williamson, Danielle Walker, and Kaycee Bills. A 21st Century Look at Threats to the Personal Safety of Emerging Adults in Massachusetts. Boston College School of Social Work, Racism-based Violence Injury & Prevention Lab, May 2022. http://dx.doi.org/10.6017/ssw.rbvipl.rb001.kq8472.

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Trends in homicide rates for emerging adults in Massachusetts was examined using data from the Massachusetts Violent Death Reporting System, Injury Surveillance Program, and Massachusetts Department of Public Health. Data for police killings was drawn from Mapping Police Violence which currently represents one of the most comprehensive databases of police killing victims in the U.S. Data from Analyze Boston was used to examine rates of police contacts that involved non-fatal police contacts (frisk or searches) among emerging adults in Boston, Massachusetts. Data for suicide deaths and mechanism of suicide were drawn from the Massachusetts Violent Death Reporting System, Injury Surveillance Program, Massachusetts Department of Public Health. Counts of Emergency Department visits for nonfatal drug overdoses in Massachusetts were drawn from the Massachusetts Inpatient Hospital Discharge, Outpatient Observation Stay, and Outpatient Emergency Department Discharge Databases, via the Center for Health Information and Analysis.
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US ARMY ELECTRONIC PROVING GROUND. Safety and Health Evaluation - Command, Control Communication, Computers, Intelligence, Surveillance, Reconnaissance, and Electronic Warfare Equipment. Change 1. Fort Belvoir, VA: Defense Technical Information Center, February 2015. http://dx.doi.org/10.21236/ada621717.

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Hicks, Jacqueline. Export of Digital Surveillance Technologies From China to Developing Countries. Institute of Development Studies, August 2022. http://dx.doi.org/10.19088/k4d.2022.123.

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There is evidence to show that Chinese companies, with some state credit backing, are selling digital surveillance technologies to developing countries, which are then sometimes used in authoritarian practices. However, there is little direct evidence to show that surveillance technologies sold by Chinese companies have more authoritarian potential than the technologies sold by non-Chinese companies. Some researchers define “surveillance technologies” as including any form of digital infrastructure. There is data to show that developing country governments are contracting Chinese companies to build digital infrastructures. Other researchers define “surveillance technologies” as smart city projects. It is estimated that in 2019, Chinese smart city technologies have been purchased in over 100 countries worldwide. Other researchers look at more specific elements of smart cities: There are estimates that the “AI surveillance” components of smart cities have been purchased in 47-65 countries worldwide, and the “data integration” security platforms in at least 80 countries. None of these figures imply anything about how these technologies are used. The “dual use” nature of these technologies means that they can have both legitimate civilian and public safety uses as well as authoritarian control uses. There is evidence of some governments in Africa using Chinese surveillance technologies to spy on political opponents and arrest protesters. Some authors say that some Chinese smart city projects are actually not very effective, but still provide governments with a “security aesthetic”. Research also shows that Chinese smart city technologies have been sold mostly to illiberal regimes. However, in the wider context, there is also ample evidence of non-Chinese surveillance technologies contributing to authoritarian control in developing countries. There is also evidence that UK companies sell surveillance technologies to mostly illiberal regimes. Some reports consulted for this rapid review imply that Chinese surveillance technologies are more likely to be used for authoritarian control than those sold by non-Chinese companies. This analysis is largely based on circumstantial rather than direct evidence. They rely on prior judgements, which are themselves subject to ongoing enquiry in the literature: Almost all of the reports consulted for this rapid review say that the most important factor determining whether governments in developing countries will deploy a particular technology for repressive purposes is the quality of governance in the country. No reports were found in the literature reviewed of Chinese state pressure on developing countries to adopt surveillance technologies, and there were some anecdotal reports of officials in developing countries saying they did not come under any pressure to buy from Chinese companies.
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Sato, Paul A., Robert J. Reed, Tyler C. Smith, and Linda Wang. Monitoring Anthrax Vaccine Safety in US Military Service Members on Active Duty: Surveillance of Hospitalizations in Temporal Association with Immunization 1998. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada421216.

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Strader, Cliff, and Bonnie Richter. U.S. Department of Energy Office of Health, Safety and Security Illness and Injury Surveillance Program Worker Health at a Glance, 2000-2009. Office of Scientific and Technical Information (OSTI), January 2013. http://dx.doi.org/10.2172/1113644.

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Jones, B. H., P. J. Amoroso, M. L. Canham, M. B. Weyandt, and J. B. Schmitt. Atlas of Injuries in the U.S. Armed Forces: A Report by the DOD Injury Surveillance and Prevention Work Group for the Assistant Deputy Under Secretary of Defense for Safety and Occupational Health. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada367256.

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10

Haynes, Dr Edward, Chris Conyers, Dr Marc Kennedy, Roy Macarthur, Sam McGreig, and Dr John Walshaw. What is the Burden of Antimicrobial Resistance Genes in Selected Ready-to-Eat Foods? Food Standards Agency, November 2021. http://dx.doi.org/10.46756/sci.fsa.bsv485.

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This study was designed to get a broad estimate of the presence and the types of antimicrobial resistance genes across 52 simple ready-to-eat foods. It was also carried out to understand the benefits and drawbacks of using metagenomic sequencing, a fairly new technology, to study AMR genes. An antimicrobial is any substance that kills or inhibits the growth of microorganisms. It includes antibiotics which are used to treat bacterial infections in both humans and animals. Given the relevant selective pressures, the bacteria itself can change and find ways to survive the effects of an antimicrobials. This results in the bacteria becoming resistant to the ‘killing’ effects of antimicrobials and is known as ‘antimicrobial resistance’. The more we use antimicrobials and antibiotics and the way that we use them can increase the chance that bacteria will become resistant to antimicrobials. This is important as it can lead to infections that become more difficult to treat with drugs and poses a risk to the public health. T Addressing AMR is a national strategic priority for the UK Government which has led to the development of a new 20-year Vision for AMR and the 5-year National Action Plan (NAP), which runs until 2024. The NAP lays out how the UK will address the AMR challenge and takes a ‘One-Health’ approach which spans people, animals, agriculture, food and the environment. The NAP includes a specific section on the importance of better food safety to limit the contamination of foods and spread of AMR. This section emphasises the need to strengthen the evidence base for AMR and food safety through research, surveillance and promoting good practice across the food chain. The FSA is playing its part by continuing to fill evidence gaps on the role that food plays in AMR through the commissioning of research and surveillance. We are also promoting and improving UK food hygiene (‘4Cs’ messages) across the food chain that will help reduce exposure to AMR bacteria.
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