Bureau of Labor Statistics. Injuries, Illnesses, and Fatalities (IIF). Published 2021. Accessed 19 Jul 2021. https://www.bls.gov/iif/home.htm#news
L BS, D Wegman, S Baron, R Sokas. 2017. Occupational and Environmental Health. Vol 1. Oxford University Press. https://doi.org/10.1093/oso/9780190662677.001.0001
Koh D, Aw TC. Surveillance in Occupational Health. Occup Environ Med. 2003;60(9):705–10. https://doi.org/10.1136/oem.60.9.705.
Bureau of Labor Statistics. Injuries, Illnesses, and Fatalities (IIF). Published 2020. Accessed 20 Mar 2020. https://www.bls.gov/iif/home.htm
National Institute for Occupational Safety and Health. Worker Health Surveillance - Our Current Surveillance Initiatives. Published 2019. Accessed 15 May 2020. https://www.cdc.gov/niosh/topics/surveillance/data.html
Council of State and Territorial Epidemiologists. Putting Data to Work: Occupational Health Indicators from Thirteen Pilot States for 2000. Council of State and Territorial Epidemiologists (CSTE) in collaboration with National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention; 2005. https://stacks.cdc.gov/view/cdc/6748/.
Stanbury M, Anderson H, Bonauto D, Davis L, Materna B, Rosenman K. Guidelines for Minimum and Comprehensive State-Based Public Health Activities in Occupational Safety and Health. Nitional Institute for Occupational Safety and Health (NIOSH); 2008.
Landrigan PJ. Improving the surveillance of occupational disease. Am J Public Health. 1989;79(12):1601–2.
National Academies of Sciences, Engineering, and Medicine. 2018. A Smarter National Surveillance System for Occupational Safety and Health in the 21st Century. the National Academies Press. Accessed 20 Jan 2018. http://www8.nationalacademies.org/onpinews/newsitem.aspx?RecordID=24835
Thacker SB, Qualters JR, Lee LM. Public Health Surveillance in the United States: Evolution and Challenges. Morb Mortal Wkly Rep. 2012;61(3):3–9.
Stout N, Bell C. Effectiveness of source documents for identifying fatal occupational injuries: a synthesis of studies. Am J Public Health. 1991;81(6):725–8. https://doi.org/10.2105/AJPH.81.6.725.
Leigh JP, Du J, McCurdy SA. An estimate of the U.S. government’s undercount of nonfatal occupational injuries and illnesses in agriculture. Ann Epidemiol. 2014;24(4):254–9. https://doi.org/10.1016/j.annepidem.2014.01.006.
Pransky G, Snyder T, Dembe A, Himmelstein J. Under-reporting of work-related disorders in the workplace: a case study and review of the literature. Ergonomics. 1999;42(1):171–82. https://doi.org/10.1080/001401399185874.
Leigh JP, Marcin JP, Miller TR. An Estimate of the U.S. Government’s Undercount of Nonfatal Occupational Injuries. J Occup Environ Med. 2004;46(1):10–8. https://doi.org/10.1097/01.jom.0000105909.66435.53.
Rosenman KD, Kalush A, Reilly MJ, Gardiner JC, Reeves M, Luo Z. How Much Work-Related Injury and Illness is Missed By the Current National Surveillance System? J Occup Environ Med. 2006;48(4):357–65. https://doi.org/10.1097/01.jom.0000205864.81970.63.
Ruser JW. Allegations of Undercounting in the BLS Survey of Occupational Injuries and Illnesses. In: Joint Statistical Meetings, Section on Survey Research Methods. Vancouver: American Statistical Association; 2010. p. 2851–65.
Arrazola J. Assessment of Epidemiology Capacity in State Health Departments - United States, 2017. Morb Mortal Wkly Rep. 2018;67:935–9. https://doi.org/10.15585/mmwr.mm6733a5.
Hadler JL, Lampkins R, Lemmings J, Lichtenstein M, Huang M, Engel J. Assessment of Epidemiology Capacity in State Health Departments - United States, 2013. MMWR Morb Mortal Wkly Rep. 2015;64(14):394–8.
Shire JD, Marsh GM, Talbott EO, Sharma RK. Advances and Current Themes in Occupational Health and Environmental Public Health Surveillance. Annu Rev Public Health. 2011;32(1):109–32. https://doi.org/10.1146/annurev-publhealth-082310-152811.
Thacker SB, Stroup DF. Future Directions for Comprehensive Public Health Surveillance and Health Information Systems in the United States. Am J Epidemiol. 1994;140(5):383–97. https://doi.org/10.1093/oxfordjournals.aje.a117261.
Savel TG, Foldy S, Control C for D, Prevention. The role of public health informatics in enhancing public health surveillance. MMWR Surveill Summ. 2012;61(2):20–4.
Centers for Disease Control and Prevention (CDC), Office of Strategy and Innovation. Introduction to Program Evaluation for Public Health Programs: A Self-Study Guide. Atlanta, GA: Centers for Disease Control and Prevention; 2011. http://www.cdc.gov/eval/guide/cdcevalmanual.pdf.
Centers for Disease Control and Prevention, Program Performance and Evaluation Office. Framework for program evaluation in public health. Morb Mortal Wkly Rep. 1999;48(No.RR-11):1–40.
Centers for Disease Control and Prevention. Updated guidelines for evaluating public health surveillance systems: recommendations from the guidelines working group. Morb Mortal Wkly Rep. 2001;50(13):1–36.
Drewe JA, Hoinville LJ, Cook AJC, Floyd T, Stärk KDC. Evaluation of animal and public health surveillance systems: a systematic review. Epidemiol Infect. 2012;140(4):575–90. https://doi.org/10.1017/S0950268811002160.
Centers for Disease Control and Prevention. 1988. Guidelines for evaluating surveillance systems. Morb Mortal Wkly Rep MMWR. 37(No. S-5). https://www.cdc.gov/mmwr/preview/mmwrhtml/00001769.htm
Adamson PC, Tafuma TA, Davis SM, Xaba S, Herman-Roloff A. A systems-based assessment of the PrePex device adverse events active surveillance system in Zimbabwe. PLoS ONE. 2017;12(12): e0190055. https://doi.org/10.1371/journal.pone.0190055.
Jefferson H, Dupuy B, Chaudet H, et al. Evaluation of a syndromic surveillance for the early detection of outbreaks among military personnel in a tropical country. J Public Health Oxf Engl. 2008;30(4):375–83. https://doi.org/10.1093/pubmed/fdn026.
Jhung MA, Budnitz DS, Mendelsohn AB, Weidenbach KN, Nelson TD, Pollock DA. Evaluation and overview of the National Electronic Injury Surveillance System-Cooperative Adverse Drug Event Surveillance Project (NEISS-CADES). Med Care. 2007;45(10 Supl 2):S96-102. https://doi.org/10.1097/MLR.0b013e318041f737.
A Joseph, N Patrick, N Lawrence, O Lilian, A Olufemi. Evaluation of Malaria Surveillance System in Ebonyi state, Nigeria, 2014. Ann Med Health Sci Res. Published online 2017. Accessed 30 Dec 2017. https://www.amhsr.org/abstract/evaluation-of-malaria-surveillance-system-in-ebonyi-state-nigeria-2014-3901.html
Kaburi BB, Kubio C, Kenu E, et al. Evaluation of the enhanced meningitis surveillance system, Yendi municipality, northern Ghana, 2010–2015. BMC Infect Dis. 2017;17:306. https://doi.org/10.1186/s12879-017-2410-0.
Liu X, Li L, Cui H, Jackson VW. Evaluation of an emergency department-based injury surveillance project in China using WHO guidelines. Inj Prev. 2009;15(2):105–10.
Pinell-McNamara VA, Acosta AM, Pedreira MC, et al. Expanding Pertussis Epidemiology in 6 Latin America Countries through the Latin American Pertussis Project. Emerg Infect Dis. 2017;23(Suppl 1):S94–100. https://doi.org/10.3201/eid2313.170457.
MJ Thomas, PW Yoon, JM Collins, AJ Davidson, WR Mac Kenzie. Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments: J Public Health Manag Pract. Published online Sept 2017:1. https://doi.org/10.1097/PHH.0000000000000679
Velasco-Mondragón HE, Martin J, Chacón-Sosa F. Technology evaluation of a USA-Mexico health information system for epidemiological surveillance of Mexican migrant workers. Rev Panam Salud Pública. 2000;7:185–92. https://doi.org/10.1590/S1020-49892000000300008.
Yang L, Weston C, Cude C, Kincl L. Evaluating Oregon’s occupational public health surveillance system based on the CDC updated guidelines. Am J Ind Med. 2020;63(8):713–25. https://doi.org/10.1002/ajim.23139.
Hoffman S, Dekraai M. Brief Evaluation Protocol for Public Health Surveillance Systems. University of Nebraska: The Public Policy Center; 2016.
Centers for Disease Control and Prevention. Evaluating an NCD-Related Surveillance System. Centers for Disease Control and Prevention. 2013.
Holder Y, Peden M, Krug E, et al. Injury Surveillance Guidelines. 2001.
Centers for Disease Control and Prevention. Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group. Morb Mortal Wkly Rep. 2004;53(No. RR-5):1–13.
Salman null, Stärk KDC, Zepeda C. Quality assurance applied to animal disease surveillance systems. Rev Sci Tech Int Off Epizoot. 2003;22(2):689–96.
Meynard JB, Chaudet H, Green AD, et al. Proposal of a framework for evaluating military surveillance systems for early detection of outbreaks on duty areas. BMC Public Health. 2008;8(1):146.
Hendrikx P, Gay E, Chazel M, et al. OASIS: an assessment tool of epidemiological surveillance systems in animal health and food safety. Epidemiol Infect. 2011;139(10):1486–96.
Auer AM, Dobmeier TM, Haglund BJ, Tillgren P. The relevance of WHO injury surveillance guidelines for evaluation: learning from the aboriginal community-centered injury surveillance system (ACCISS) and two institution-based systems. BMC Public Health. 2011;11(744):1–15. https://doi.org/10.1186/1471-2458-11-744.
Patel K, Watanabe-Galloway S, Gofin R, Haynatzki G, Rautiainen R. Non-fatal agricultural injury surveillance in the United States: A review of national-level survey-based systems. Am J Ind Med. 2017;60(7):599–620. https://doi.org/10.1002/ajim.22720.
Calba C, Goutard FL, Hoinville L, et al. Surveillance systems evaluation: a systematic review of the existing approaches. BMC Public Health. 2015;15(448):448. https://doi.org/10.1186/s12889-015-1791-5.
Spreeuwers D, de Boer AG, Verbeek JH, van Dijk FJ. Characteristics of national registries for occupational diseases: international development and validation of an audit tool (ODIT). BMC Health Serv Res. 2009;9:194. https://doi.org/10.1186/1472-6963-9-194.
Boulkedid R, Abdoul H, Loustau M, Sibony O, Alberti C. Using and Reporting the Delphi Method for Selecting Healthcare Quality Indicators: A Systematic Review. Wright JM, ed. PLoS One. 2011;6(6):e20476. https://doi.org/10.1371/journal.pone.0020476.
Foth T, Efstathiou N, Vanderspank-Wright B, et al. The use of Delphi and Nominal Group Technique in nursing education: A review. Int J Nurs Stud. 2016;60:112–20. https://doi.org/10.1016/j.ijnurstu.2016.04.015.
Habibi A, Sarafrazi A, Izadyar S. Delphi Technique Theoretical Framework in Qualitative Research. Int J Eng Sci. 2014;3(4):8–13.
Hasson F, Keeney S. Enhancing rigour in the Delphi technique research. Technol Forecast Soc Change. 2011;78(9):1695–704. https://doi.org/10.1016/j.techfore.2011.04.005.
Hsu CC, Sandford BA. Minimizing Non-Response in The Delphi Process: How to Respond to Non-Response. Pract Assess Res Eval. 2007;12(17):1–6.
HA Linstone, M Turoff. 2002. The Delphi Method: Techniques and Applications. Addison-Wesley Educational Publishers Inc. Accessed 10 March 2016. http://www.academia.edu/download/29694542/delphibook.pdf
Murphy, Black, Lamping, et al. 1998. Consensus development methods, and their use in clinical guideline development. Health Technol Assess. 2(3). https://doi.org/10.3310/hta2030
Powell C. The Delphi technique: myths and realities. J Adv Nurs. 2003;41(4):376–82. https://doi.org/10.1046/j.1365-2648.2003.02537.x.
Rajendran S, Gambatese JA. Development and Initial Validation of Sustainable Construction Safety and Health Rating System. J Constr Eng Manag. 2009;135(10):1067–75. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:10(1067).
Rowe G, Wright G. The Delphi technique as a forecasting tool: issues and analysis. Int J Forecast. 1999;15(4):353–75. https://doi.org/10.1016/S0169-2070(99)00018-7.
Sinha IP, Smyth RL, Williamson PR. Using the Delphi Technique to Determine Which Outcomes to Measure in Clinical Trials: Recommendations for the Future Based on a Systematic Review of Existing Studies. PLoS Med. 2011;8(1): e1000393. https://doi.org/10.1371/journal.pmed.1000393.
Adler M, Ziglio E. Gazing Into the Oracle: The Delphi Method and Its Application to Social Policy and Public Health. London and Philadelphia: Jessica Kingsley Publishers; 1996.
Clayton MJ. Delphi: a technique to harness expert opinion for critical decision-making tasks in education. Educ Psychol. 1997;17(4):373–86. https://doi.org/10.1080/0144341970170401.
Greatorex J, Dexter T. An accessible analytical approach for investigating what happens between the rounds of a Delphi study. J Adv Nurs. 2000;32(4):1016–24.
Hsu CC, Sandford BA. The Delphi Technique: Making Sense Of Consensus. Pract Assess Res Eval. 2007;12(10):1–8.
Makkonen M, Hujala T, Uusivuori J. Policy experts’ propensity to change their opinion along Delphi rounds. Technol Forecast Soc Change. 2016;109:61–8. https://doi.org/10.1016/j.techfore.2016.05.020.
Bolger F, Wright G. Improving the Delphi process: Lessons from social psychological research. Technol Forecast Soc Change. 2011;78(9):1500–13. https://doi.org/10.1016/j.techfore.2011.07.007.
Meijering JV, Tobi H. The effect of controlled opinion feedback on Delphi features: Mixed messages from a real-world Delphi experiment. Technol Forecast Soc Change. 2016;103:166–73. https://doi.org/10.1016/j.techfore.2015.11.008.
Choi BCK. The Past, Present, and Future of Public Health Surveillance. Scientifica. 2012;2012:1–26. https://doi.org/10.6064/2012/875253.
Health Canada. 2004. Framework and Tools for Evaluating Health Surveillance Systems. Population and Public Health Branch, Health Canada. Accessed 18 October 2017. http://publications.gc.ca/site/eng/260337/publication.html
World Health Organization. Communicable Disease Surveillance and Response Systems: Guide to Monitoring and Evaluating. Geneva: World Health Organization; 2006. http://apps.who.int/iris/bitstream/10665/69331/1/WHO_CDS_EPR_LYO_2006_2_eng.pdf.
Smith GS. Public health approaches to occupational injury prevention: do they work? Inj Prev. 2001;7(suppl 1):i3–10. https://doi.org/10.1136/ip.7.suppl_1.i3.
National research Council. 1998. Protecting Youth at Work: Health, Safety, and Development of Working Children and Adolescents in the United States. The National Academies Press. https://doi.org/10.17226/6019
L Yang, A Branscum, V Bovbjerg, C Cude, C Weston, L Kincl. Assessing disabling and non-disabling injuries and illnesses using accepted workers compensation claims data to prioritize industries of high risk for Oregon young workers. J Safety Res. Published online 30 Mar 2021. https://doi.org/10.1016/j.jsr.2021.03.007
MI Peyre, L Hoinville, B Haesler. et al. 2014. Network analysis of surveillance system evaluation attributes: a way towards improvement of the evaluation process. In: Proceedings ICAHS - 2nd International Conference on Animal Health Surveillance “Surveillance against the Odds”, The Havana, Cuba, 7–9. Accessed October 18, 2017. http://agritrop.cirad.fr/573676/
Williams PL, Webb C. The Delphi technique: a methodological discussion. J Adv Nurs. 1994;19(1):180–6. https://doi.org/10.1111/j.1365-2648.1994.tb01066.x.
Winkler J, Moser R. Biases in future-oriented Delphi studies: A cognitive perspective. Technol Forecast Soc Change. 2016;105:63–76. https://doi.org/10.1016/j.techfore.2016.01.021.